==================== Test output for //tensorflow/compiler/xla/hlo/experimental/auto_sharding:auto_sharding_test: [==========] Running 25 tests from 2 test suites. [----------] Global test environment set-up. [----------] 1 test from DummyAutoShardingTest [ RUN ] DummyAutoShardingTest.ReplicatedShardingDummy [ OK ] DummyAutoShardingTest.ReplicatedShardingDummy (43 ms) [----------] 1 test from DummyAutoShardingTest (43 ms total) [----------] 24 tests from AutoShardingTest [ DISABLED ] AutoShardingTest.DISABLED_ElementWiseOperator [ RUN ] AutoShardingTest.DotLHSTwoNonContractingDims 2023-09-05 02:23:07.700986: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. WARNING: All log messages before absl::InitializeLog() is called are written to STDERR I0000 00:00:1693880587.701512 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880587.701607 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880587.701716 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880587.702323 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 48 Total vector of variables: 3 Total instructions: 4 Memory budget: 0GB Number of ILP constraints: 22 I0000 00:00:1693880587.727793 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.0004 I0000 00:00:1693880587.728675 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880587.728721 1971473 auto_sharding_solver.cc:551] N = 4 I0000 00:00:1693880587.728734 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880587.728745 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.000370026 GB at time 3 I0000 00:00:1693880587.728780 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880587.728798 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 0) I0000 00:00:1693880587.728810 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880587.728821 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880587.728832 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 0) I0000 00:00:1693880587.728844 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880587.728864 1971473 auto_sharding.cc:2615] skip setting shardings for inst param0 I0000 00:00:1693880587.728900 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880587.728962 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880587.730960 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 190 Total vector of variables: 3 Total instructions: 4 Memory budget: 0GB Number of ILP constraints: 43 I0000 00:00:1693880587.758192 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 0.00020409 I0000 00:00:1693880587.758331 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 0 I0000 00:00:1693880587.758346 1971473 auto_sharding_solver.cc:551] N = 4 I0000 00:00:1693880587.758359 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880587.758369 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.00018692 GB at time 3 I0000 00:00:1693880587.758423 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880587.758451 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880587.758463 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880587.758475 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880587.758497 1971473 auto_sharding.cc:2467] Total Cost: 0 (lower bound: 0) I0000 00:00:1693880587.758509 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880587.758592 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880587.758696 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.DotLHSTwoNonContractingDims (59 ms) [ RUN ] AutoShardingTest.DotRHSTwoNonContractingDims 2023-09-05 02:23:07.797043: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880587.797435 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880587.797487 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880587.797526 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880587.798346 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 70 Total vector of variables: 3 Total instructions: 4 Memory budget: 0GB Number of ILP constraints: 26 I0000 00:00:1693880587.812252 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00029 I0000 00:00:1693880587.812411 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880587.812427 1971473 auto_sharding_solver.cc:551] N = 4 I0000 00:00:1693880587.812440 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880587.812454 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.00018692 GB at time 3 I0000 00:00:1693880587.812511 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880587.812535 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 0) I0000 00:00:1693880587.812547 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880587.812558 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880587.812570 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 0) I0000 00:00:1693880587.812582 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880587.812608 1971473 auto_sharding.cc:2615] skip setting shardings for inst param0 I0000 00:00:1693880587.812666 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880587.812743 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880587.816845 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 368 Total vector of variables: 3 Total instructions: 4 Memory budget: 0GB Number of ILP constraints: 61 I0000 00:00:1693880587.899079 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 0.000239978 I0000 00:00:1693880587.899269 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 0 I0000 00:00:1693880587.899287 1971473 auto_sharding_solver.cc:551] N = 4 I0000 00:00:1693880587.899299 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880587.899313 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.000123978 GB at time 3 I0000 00:00:1693880587.899412 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880587.899453 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880587.899465 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880587.899477 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880587.899488 1971473 auto_sharding.cc:2467] Total Cost: 0 (lower bound: 0) I0000 00:00:1693880587.899500 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880587.899634 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880587.899777 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.DotRHSTwoNonContractingDims (140 ms) [ RUN ] AutoShardingTest.DotTwoContractingDims 2023-09-05 02:23:07.901155: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880587.901484 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880587.901519 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880587.901554 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880587.902104 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 54 Total vector of variables: 3 Total instructions: 4 Memory budget: 0GB Number of ILP constraints: 23 I0000 00:00:1693880587.938551 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00032 I0000 00:00:1693880587.938703 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880587.938719 1971473 auto_sharding_solver.cc:551] N = 4 I0000 00:00:1693880587.938733 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880587.938746 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.00025177 GB at time 3 I0000 00:00:1693880587.938798 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880587.938821 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 0) I0000 00:00:1693880587.938833 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880587.938844 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880587.938855 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 0) I0000 00:00:1693880587.938867 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880587.938895 1971473 auto_sharding.cc:2615] skip setting shardings for inst param1 I0000 00:00:1693880587.938941 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880587.939017 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880587.941590 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 294 Total vector of variables: 3 Total instructions: 4 Memory budget: 0GB Number of ILP constraints: 55 I0000 00:00:1693880587.970508 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 0.000156768 I0000 00:00:1693880587.970631 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 0 I0000 00:00:1693880587.970648 1971473 auto_sharding_solver.cc:551] N = 4 I0000 00:00:1693880587.970660 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880587.970670 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.00018692 GB at time 3 I0000 00:00:1693880587.970734 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880587.970769 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880587.970781 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880587.970792 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880587.970803 1971473 auto_sharding.cc:2467] Total Cost: 0 (lower bound: 0) I0000 00:00:1693880587.970814 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880587.970901 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880587.971006 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.DotTwoContractingDims (71 ms) [ RUN ] AutoShardingTest.TwoMatmul 2023-09-05 02:23:07.975218: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880587.975509 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880587.975546 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880587.975578 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880587.975997 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 52 Total vector of variables: 5 Total instructions: 5 Memory budget: 0GB Number of ILP constraints: 33 I0000 00:00:1693880587.988212 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 6.00074 I0000 00:00:1693880587.988357 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 6 I0000 00:00:1693880587.988373 1971473 auto_sharding_solver.cc:551] N = 5 I0000 00:00:1693880587.988385 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880587.988397 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 9.15527e-05 GB at time 4 I0000 00:00:1693880587.988438 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880587.988457 1971473 auto_sharding.cc:2458] Total Computation Cost: 6 (lower bound: 0) I0000 00:00:1693880587.988469 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880587.988480 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880587.988491 1971473 auto_sharding.cc:2467] Total Cost: 6 (lower bound: 0) I0000 00:00:1693880587.988503 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880587.988525 1971473 auto_sharding.cc:2615] skip setting shardings for inst parameter.2 I0000 00:00:1693880587.988536 1971473 auto_sharding.cc:2615] skip setting shardings for inst parameter.3 I0000 00:00:1693880587.988565 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880587.988628 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880587.990100 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 182 Total vector of variables: 5 Total instructions: 5 Memory budget: 0GB Number of ILP constraints: 62 I0000 00:00:1693880588.018230 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 83.0172 I0000 00:00:1693880588.018389 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 83.01 I0000 00:00:1693880588.018407 1971473 auto_sharding_solver.cc:551] N = 5 I0000 00:00:1693880588.018419 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.018430 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 5.34058e-05 GB at time 4 I0000 00:00:1693880588.018492 1971473 auto_sharding.cc:2454] Total Communication Cost: 83.01 (lower bound: 0) I0000 00:00:1693880588.018519 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880588.018531 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.018542 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.018553 1971473 auto_sharding.cc:2467] Total Cost: 83.01 (lower bound: 0) I0000 00:00:1693880588.018565 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.018655 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.018762 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:08.019470: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.019769 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880588.019798 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880588.019828 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.020288 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 70 Total vector of variables: 5 Total instructions: 5 Memory budget: 0GB Number of ILP constraints: 38 I0000 00:00:1693880588.033637 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 6.00074 I0000 00:00:1693880588.033798 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 6 I0000 00:00:1693880588.033815 1971473 auto_sharding_solver.cc:551] N = 5 I0000 00:00:1693880588.033826 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.033838 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 9.91821e-05 GB at time 4 I0000 00:00:1693880588.033882 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.033904 1971473 auto_sharding.cc:2458] Total Computation Cost: 6 (lower bound: 0) I0000 00:00:1693880588.033916 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.033927 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.033938 1971473 auto_sharding.cc:2467] Total Cost: 6 (lower bound: 0) I0000 00:00:1693880588.033949 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.033969 1971473 auto_sharding.cc:2615] skip setting shardings for inst parameter.1 I0000 00:00:1693880588.033980 1971473 auto_sharding.cc:2615] skip setting shardings for inst parameter.2 I0000 00:00:1693880588.033988 1971473 auto_sharding.cc:2615] skip setting shardings for inst dot.4 I0000 00:00:1693880588.034022 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880588.034085 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.035739 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 260 Total vector of variables: 5 Total instructions: 5 Memory budget: 0GB Number of ILP constraints: 73 I0000 00:00:1693880588.057767 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 6.00033 I0000 00:00:1693880588.057930 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 6 I0000 00:00:1693880588.057951 1971473 auto_sharding_solver.cc:551] N = 5 I0000 00:00:1693880588.057964 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.057975 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 9.53674e-05 GB at time 4 I0000 00:00:1693880588.058037 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.058073 1971473 auto_sharding.cc:2458] Total Computation Cost: 6 (lower bound: 0) I0000 00:00:1693880588.058085 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.058097 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.058108 1971473 auto_sharding.cc:2467] Total Cost: 6 (lower bound: 0) I0000 00:00:1693880588.058119 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.058241 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.058341 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_test.cc:368: Failure Value of: param3 Expected: {devices=[1,2,2]0,2,1,3 last_tile_dim_replicate} Actual: 0xaaaadeee9650 (of type xla::HloInstruction*), %parameter.3 = f32[128,64]{1,0} parameter(2), sharding={devices=[1,2,2]0,1,2,3 last_tile_dim_replicate} has incorrect sharding (expected: {devices=[1,2,2]0,2,1,3 last_tile_dim_replicate}) tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_test.cc:374: Failure Value of: dot5 Expected: {devices=[2,2]0,1,2,3} Actual: 0xaaaadeeefea0 (of type xla::HloInstruction*), %dot.5 = f32[64,64]{1,0} dot(f32[64,128]{1,0} %reshape, f32[128,64]{1,0} %parameter.3), lhs_contracting_dims={1}, rhs_contracting_dims={0}, sharding={devices=[2,2]0,2,1,3} has incorrect sharding (expected: {devices=[2,2]0,1,2,3}) [ FAILED ] AutoShardingTest.TwoMatmul (87 ms) [ RUN ] AutoShardingTest.ProcessCustomCallShardings 2023-09-05 02:23:08.059852: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1,1 2023-09-05 02:23:08.059885: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1,1 2023-09-05 02:23:08.059900: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 I0000 00:00:1693880588.060312 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880588.060350 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: true I0000 00:00:1693880588.060386 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.060616 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 12 Total vector of variables: 3 Total instructions: 5 Memory budget: 0GB Number of ILP constraints: 12 I0000 00:00:1693880588.098065 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00035 I0000 00:00:1693880588.098192 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880588.098207 1971473 auto_sharding_solver.cc:551] N = 5 I0000 00:00:1693880588.098218 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.098229 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 2.01166e-07 GB at time 2 I0000 00:00:1693880588.098260 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.098277 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 0) I0000 00:00:1693880588.098288 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.098299 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.098310 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 0) I0000 00:00:1693880588.098322 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.098342 1971473 auto_sharding.cc:2615] skip setting shardings for inst param0 I0000 00:00:1693880588.098354 1971473 auto_sharding.cc:2615] skip setting shardings for inst copy I0000 00:00:1693880588.098362 1971473 auto_sharding.cc:2615] skip setting shardings for inst copy.1 I0000 00:00:1693880588.098370 1971473 auto_sharding.cc:2615] skip setting shardings for inst copy.2 I0000 00:00:1693880588.098378 1971473 auto_sharding.cc:2615] skip setting shardings for inst copy.3 I0000 00:00:1693880588.098409 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880588.098466 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.098828 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 16 Total vector of variables: 3 Total instructions: 5 Memory budget: 0GB Number of ILP constraints: 14 I0000 00:00:1693880588.109535 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 0.000179756 I0000 00:00:1693880588.109677 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 0 I0000 00:00:1693880588.109694 1971473 auto_sharding_solver.cc:551] N = 5 I0000 00:00:1693880588.109707 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.109721 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 1.00583e-07 GB at time 2 I0000 00:00:1693880588.109761 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.109781 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880588.109793 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.109804 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.109815 1971473 auto_sharding.cc:2467] Total Cost: 0 (lower bound: 0) I0000 00:00:1693880588.109827 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.109923 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.110065 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.ProcessCustomCallShardings (51 ms) [ RUN ] AutoShardingTest.RemoveShardingAnnotationKeepAll [ OK ] AutoShardingTest.RemoveShardingAnnotationKeepAll (10 ms) [ RUN ] AutoShardingTest.RemoveShardingAnnotationRemoveIntermediate 2023-09-05 02:23:08.121594: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. [ OK ] AutoShardingTest.RemoveShardingAnnotationRemoveIntermediate (0 ms) [ RUN ] AutoShardingTest.RemoveShardingAnnotationRemoveAll 2023-09-05 02:23:08.176839: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. [ OK ] AutoShardingTest.RemoveShardingAnnotationRemoveAll (55 ms) [ RUN ] AutoShardingTest.MatmulMeshShape1DMeshShape 2023-09-05 02:23:08.179966: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1 2023-09-05 02:23:08.180015: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1 2023-09-05 02:23:08.180034: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 2023-09-05 02:23:08.180189: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.180494 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [4, 1] I0000 00:00:1693880588.180564 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.181004 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.209198 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 4.00032 I0000 00:00:1693880588.209323 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 4 I0000 00:00:1693880588.209338 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.209350 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.209362 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 3.62396e-05 GB at time 2 I0000 00:00:1693880588.209412 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.209430 1971473 auto_sharding.cc:2458] Total Computation Cost: 4 (lower bound: 0) I0000 00:00:1693880588.209442 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.209453 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.209474 1971473 auto_sharding.cc:2467] Total Cost: 4 (lower bound: 0) I0000 00:00:1693880588.209486 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.209566 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.209694 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:08.210224: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1 2023-09-05 02:23:08.210263: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1 2023-09-05 02:23:08.210280: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3,4,5,6,7 2023-09-05 02:23:08.210423: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.210706 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [8, 1] I0000 00:00:1693880588.210755 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.211170 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.257975 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 4.00032 I0000 00:00:1693880588.258143 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 4 I0000 00:00:1693880588.258158 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.258171 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.258183 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 3.33786e-05 GB at time 2 I0000 00:00:1693880588.258233 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.258252 1971473 auto_sharding.cc:2458] Total Computation Cost: 4 (lower bound: 0) I0000 00:00:1693880588.258264 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.258275 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.258286 1971473 auto_sharding.cc:2467] Total Cost: 4 (lower bound: 0) I0000 00:00:1693880588.258297 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.258379 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.258507 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.MatmulMeshShape1DMeshShape (81 ms) [ RUN ] AutoShardingTest.MatmulMeshShape1DMeshShapeIds 2023-09-05 02:23:08.263268: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1 2023-09-05 02:23:08.263331: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1 2023-09-05 02:23:08.263492: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.263794 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [4, 1] I0000 00:00:1693880588.263864 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.264301 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.298167 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 4.00032 I0000 00:00:1693880588.298308 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 4 I0000 00:00:1693880588.298331 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.298343 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.298356 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 3.62396e-05 GB at time 2 I0000 00:00:1693880588.298401 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.298421 1971473 auto_sharding.cc:2458] Total Computation Cost: 4 (lower bound: 0) I0000 00:00:1693880588.298433 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.298444 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.298454 1971473 auto_sharding.cc:2467] Total Cost: 4 (lower bound: 0) I0000 00:00:1693880588.298466 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.298546 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.298672 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:08.299203: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1 2023-09-05 02:23:08.299243: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1 2023-09-05 02:23:08.299391: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.299676 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [8, 1] I0000 00:00:1693880588.299727 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.300139 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.311147 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 4.00032 I0000 00:00:1693880588.311283 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 4 I0000 00:00:1693880588.311298 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.311311 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.311322 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 3.33786e-05 GB at time 2 I0000 00:00:1693880588.311370 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.311389 1971473 auto_sharding.cc:2458] Total Computation Cost: 4 (lower bound: 0) I0000 00:00:1693880588.311400 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.311411 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.311423 1971473 auto_sharding.cc:2467] Total Cost: 4 (lower bound: 0) I0000 00:00:1693880588.311436 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.311517 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.311647 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.MatmulMeshShape1DMeshShapeIds (53 ms) [ RUN ] AutoShardingTest.MatmulMeshShape1DAllOptions 2023-09-05 02:23:08.312814: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.313119 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [4, 1] I0000 00:00:1693880588.313169 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.313561 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.324038 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 4.00032 I0000 00:00:1693880588.324190 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 4 I0000 00:00:1693880588.324205 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.324217 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.324230 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 3.62396e-05 GB at time 2 I0000 00:00:1693880588.324279 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.324298 1971473 auto_sharding.cc:2458] Total Computation Cost: 4 (lower bound: 0) I0000 00:00:1693880588.324310 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.324321 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.324332 1971473 auto_sharding.cc:2467] Total Cost: 4 (lower bound: 0) I0000 00:00:1693880588.324344 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.324421 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.324541 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:08.325184: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.325487 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [8, 1] I0000 00:00:1693880588.325537 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.325949 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.344832 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 4.00032 I0000 00:00:1693880588.344976 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 4 I0000 00:00:1693880588.344992 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.345005 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.345017 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 3.33786e-05 GB at time 2 I0000 00:00:1693880588.345065 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.345084 1971473 auto_sharding.cc:2458] Total Computation Cost: 4 (lower bound: 0) I0000 00:00:1693880588.345096 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.345107 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.345118 1971473 auto_sharding.cc:2467] Total Cost: 4 (lower bound: 0) I0000 00:00:1693880588.345129 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.345212 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.345341 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.MatmulMeshShape1DAllOptions (33 ms) [ RUN ] AutoShardingTest.MatmulMeshShape2DAllOptions 2023-09-05 02:23:08.348227: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.348559 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880588.348599 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880588.348634 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.349049 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.364659 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00038 I0000 00:00:1693880588.364824 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880588.364840 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.364852 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.364864 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 4.19617e-05 GB at time 2 I0000 00:00:1693880588.364911 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.364930 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 0) I0000 00:00:1693880588.364942 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.364953 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.364964 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 0) I0000 00:00:1693880588.364976 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.365003 1971473 auto_sharding.cc:2615] skip setting shardings for inst parameter.2 I0000 00:00:1693880588.365042 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880588.365113 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.366130 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 104 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 33 I0000 00:00:1693880588.395714 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.45237e-05 I0000 00:00:1693880588.395875 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 0 I0000 00:00:1693880588.395891 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.395904 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.395917 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 2.28882e-05 GB at time 2 I0000 00:00:1693880588.395978 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.396003 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880588.396016 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.396027 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.396037 1971473 auto_sharding.cc:2467] Total Cost: 0 (lower bound: 0) I0000 00:00:1693880588.396049 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.396194 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.396338 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:08.397005: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.397312 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [4, 1] I0000 00:00:1693880588.397361 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.397765 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.408498 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 4.00032 I0000 00:00:1693880588.408623 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 4 I0000 00:00:1693880588.408639 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.408659 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.408672 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 3.62396e-05 GB at time 2 I0000 00:00:1693880588.408720 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.408740 1971473 auto_sharding.cc:2458] Total Computation Cost: 4 (lower bound: 0) I0000 00:00:1693880588.408753 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.408764 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.408775 1971473 auto_sharding.cc:2467] Total Cost: 4 (lower bound: 0) I0000 00:00:1693880588.408786 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.408862 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.408989 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:08.409644: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.409947 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [4, 1] I0000 00:00:1693880588.409997 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.410386 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.449039 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 2.00024 I0000 00:00:1693880588.449181 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 2 I0000 00:00:1693880588.449197 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.449210 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.449222 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 3.62396e-05 GB at time 2 I0000 00:00:1693880588.449272 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.449291 1971473 auto_sharding.cc:2458] Total Computation Cost: 2 (lower bound: 0) I0000 00:00:1693880588.449303 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.449314 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.449325 1971473 auto_sharding.cc:2467] Total Cost: 2 (lower bound: 0) I0000 00:00:1693880588.449337 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.449417 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.449545 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.MatmulMeshShape2DAllOptions (104 ms) [ RUN ] AutoShardingTest.MatmulMeshShape2DNoAlphaBeta 2023-09-05 02:23:08.450633: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1,1 2023-09-05 02:23:08.450671: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1,1 2023-09-05 02:23:08.450819: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.451100 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880588.451131 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880588.451162 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.451543 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.462414 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00038 I0000 00:00:1693880588.462548 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880588.462563 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.462575 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.462588 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 4.19617e-05 GB at time 2 I0000 00:00:1693880588.462637 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.462656 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 0) I0000 00:00:1693880588.462668 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.462679 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.462690 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 0) I0000 00:00:1693880588.462701 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.462729 1971473 auto_sharding.cc:2615] skip setting shardings for inst parameter.2 I0000 00:00:1693880588.462770 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880588.462838 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.463824 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 104 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 33 I0000 00:00:1693880588.476101 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.45237e-05 I0000 00:00:1693880588.476289 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 0 I0000 00:00:1693880588.476305 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.476317 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.476328 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 2.28882e-05 GB at time 2 I0000 00:00:1693880588.476389 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.476416 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880588.476428 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.476440 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.476450 1971473 auto_sharding.cc:2467] Total Cost: 0 (lower bound: 0) I0000 00:00:1693880588.476462 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.476556 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.476688 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:08.477213: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1,1 2023-09-05 02:23:08.477249: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1,1 2023-09-05 02:23:08.477396: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.477676 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [4, 1] I0000 00:00:1693880588.477725 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.478110 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.491831 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 4.00032 I0000 00:00:1693880588.491964 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 4 I0000 00:00:1693880588.491978 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.491991 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.492002 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 3.62396e-05 GB at time 2 I0000 00:00:1693880588.492052 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.492072 1971473 auto_sharding.cc:2458] Total Computation Cost: 4 (lower bound: 0) I0000 00:00:1693880588.492084 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.492095 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.492106 1971473 auto_sharding.cc:2467] Total Cost: 4 (lower bound: 0) I0000 00:00:1693880588.492117 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.492196 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.492320 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:08.492845: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1,1 2023-09-05 02:23:08.492877: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1,1 2023-09-05 02:23:08.493024: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.493304 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [4, 1] I0000 00:00:1693880588.493351 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.493742 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.504279 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 4.00032 I0000 00:00:1693880588.504439 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 4 I0000 00:00:1693880588.504454 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.504466 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.504477 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 3.62396e-05 GB at time 2 I0000 00:00:1693880588.504527 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.504546 1971473 auto_sharding.cc:2458] Total Computation Cost: 4 (lower bound: 0) I0000 00:00:1693880588.504558 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.504569 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.504580 1971473 auto_sharding.cc:2467] Total Cost: 4 (lower bound: 0) I0000 00:00:1693880588.504591 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.504676 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.504797 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.MatmulMeshShape2DNoAlphaBeta (55 ms) [ RUN ] AutoShardingTest.MatmulMeshShape2DNoAlphaBetaMeshIds 2023-09-05 02:23:08.505792: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1,1 2023-09-05 02:23:08.505831: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1,1 2023-09-05 02:23:08.505847: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 2023-09-05 02:23:08.506002: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.506312 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880588.506360 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880588.506393 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.506777 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.518976 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00038 I0000 00:00:1693880588.519118 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880588.519133 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.519145 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.519155 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 4.19617e-05 GB at time 2 I0000 00:00:1693880588.519192 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.519210 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 0) I0000 00:00:1693880588.519221 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.519232 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.519243 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 0) I0000 00:00:1693880588.519254 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.519274 1971473 auto_sharding.cc:2615] skip setting shardings for inst parameter.2 I0000 00:00:1693880588.519303 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880588.519361 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.520272 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 104 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 33 I0000 00:00:1693880588.533046 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.45237e-05 I0000 00:00:1693880588.533216 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 0 I0000 00:00:1693880588.533232 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.533244 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.533256 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 2.28882e-05 GB at time 2 I0000 00:00:1693880588.533322 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.533349 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880588.533360 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.533371 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.533382 1971473 auto_sharding.cc:2467] Total Cost: 0 (lower bound: 0) I0000 00:00:1693880588.533394 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.533492 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.533619 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:08.534138: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1,1 2023-09-05 02:23:08.534176: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1,1 2023-09-05 02:23:08.534200: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 2023-09-05 02:23:08.534346: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.534631 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [4, 1] I0000 00:00:1693880588.534678 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.535063 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.558543 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 4.00032 I0000 00:00:1693880588.558679 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 4 I0000 00:00:1693880588.558694 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.558707 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.558719 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 3.62396e-05 GB at time 2 I0000 00:00:1693880588.558766 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.558786 1971473 auto_sharding.cc:2458] Total Computation Cost: 4 (lower bound: 0) I0000 00:00:1693880588.558797 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.558809 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.558820 1971473 auto_sharding.cc:2467] Total Cost: 4 (lower bound: 0) I0000 00:00:1693880588.558831 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.558918 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.559042 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:08.559563: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1,1 2023-09-05 02:23:08.559601: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1,1 2023-09-05 02:23:08.559616: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 2023-09-05 02:23:08.559759: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.560044 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [4, 1] I0000 00:00:1693880588.560091 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.560479 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.570582 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 4.00032 I0000 00:00:1693880588.570702 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 4 I0000 00:00:1693880588.570717 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.570729 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.570741 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 3.62396e-05 GB at time 2 I0000 00:00:1693880588.570790 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.570809 1971473 auto_sharding.cc:2458] Total Computation Cost: 4 (lower bound: 0) I0000 00:00:1693880588.570852 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.570866 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.570877 1971473 auto_sharding.cc:2467] Total Cost: 4 (lower bound: 0) I0000 00:00:1693880588.570888 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.570965 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.571091 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.MatmulMeshShape2DNoAlphaBetaMeshIds (66 ms) [ RUN ] AutoShardingTest.MatmulMeshShape2DNoMeshIds 2023-09-05 02:23:08.572066: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 2023-09-05 02:23:08.572233: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.572517 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880588.572546 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880588.572579 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.572964 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.608273 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00038 I0000 00:00:1693880588.608432 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880588.608447 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.608460 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.608472 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 4.19617e-05 GB at time 2 I0000 00:00:1693880588.608522 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.608543 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 0) I0000 00:00:1693880588.608556 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.608568 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.608579 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 0) I0000 00:00:1693880588.608590 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.608620 1971473 auto_sharding.cc:2615] skip setting shardings for inst parameter.2 I0000 00:00:1693880588.608661 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880588.608734 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.609729 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 104 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 33 I0000 00:00:1693880588.622286 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.45237e-05 I0000 00:00:1693880588.622455 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 0 I0000 00:00:1693880588.622471 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.622483 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.622495 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 2.28882e-05 GB at time 2 I0000 00:00:1693880588.622557 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.622584 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880588.622597 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.622608 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.622619 1971473 auto_sharding.cc:2467] Total Cost: 0 (lower bound: 0) I0000 00:00:1693880588.622630 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.622720 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.622851 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:08.623373: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 2023-09-05 02:23:08.623543: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.623823 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [4, 1] I0000 00:00:1693880588.623870 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.624252 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.649690 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 4.00032 I0000 00:00:1693880588.649829 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 4 I0000 00:00:1693880588.649844 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.649857 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.649868 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 3.62396e-05 GB at time 2 I0000 00:00:1693880588.649918 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.649938 1971473 auto_sharding.cc:2458] Total Computation Cost: 4 (lower bound: 0) I0000 00:00:1693880588.649950 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.649961 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.649972 1971473 auto_sharding.cc:2467] Total Cost: 4 (lower bound: 0) I0000 00:00:1693880588.649983 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.650064 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.650191 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:08.650717: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 2023-09-05 02:23:08.650883: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.651163 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [4, 1] I0000 00:00:1693880588.651212 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.651604 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.662308 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 2.00023 I0000 00:00:1693880588.662442 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 2 I0000 00:00:1693880588.662457 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.662468 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.662480 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 3.62396e-05 GB at time 2 I0000 00:00:1693880588.662529 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.662549 1971473 auto_sharding.cc:2458] Total Computation Cost: 2 (lower bound: 0) I0000 00:00:1693880588.662561 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.662573 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.662584 1971473 auto_sharding.cc:2467] Total Cost: 2 (lower bound: 0) I0000 00:00:1693880588.662595 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.662677 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.662798 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.MatmulMeshShape2DNoMeshIds (91 ms) [ DISABLED ] AutoShardingTest.DISABLED_MatmulMeshShape3DAllOptions [ RUN ] AutoShardingTest.Matmul3DMeshShape2DSharding 2023-09-05 02:23:08.663768: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1,1,1 2023-09-05 02:23:08.663805: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1,1,1 2023-09-05 02:23:08.663821: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 2023-09-05 02:23:08.663965: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.664252 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880588.664282 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880588.664313 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.664695 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.675744 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00038 I0000 00:00:1693880588.675899 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880588.675914 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.675927 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.675939 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 4.19617e-05 GB at time 2 I0000 00:00:1693880588.675988 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.676007 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 0) I0000 00:00:1693880588.676018 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.676030 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.676041 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 0) I0000 00:00:1693880588.676052 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.676079 1971473 auto_sharding.cc:2615] skip setting shardings for inst parameter.2 I0000 00:00:1693880588.676138 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880588.676216 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.677198 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 104 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 33 I0000 00:00:1693880588.691711 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.45237e-05 I0000 00:00:1693880588.691878 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 0 I0000 00:00:1693880588.691894 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.691908 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.691919 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 2.28882e-05 GB at time 2 I0000 00:00:1693880588.691981 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.692007 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880588.692019 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.692030 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.692042 1971473 auto_sharding.cc:2467] Total Cost: 0 (lower bound: 0) I0000 00:00:1693880588.692053 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.692140 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.692279 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:08.692809: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1,1,1 2023-09-05 02:23:08.692847: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1,1,1 2023-09-05 02:23:08.692863: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 2023-09-05 02:23:08.693003: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.693290 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880588.693319 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880588.693351 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.693726 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.708295 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00026 I0000 00:00:1693880588.708457 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880588.708472 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.708485 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.708497 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 4.19617e-05 GB at time 2 I0000 00:00:1693880588.708547 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.708567 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 0) I0000 00:00:1693880588.708579 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.708590 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.708601 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 0) I0000 00:00:1693880588.708613 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.708640 1971473 auto_sharding.cc:2615] skip setting shardings for inst parameter.2 I0000 00:00:1693880588.708681 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880588.708750 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.709730 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 104 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 33 I0000 00:00:1693880588.736371 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.45237e-05 I0000 00:00:1693880588.736540 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 0 I0000 00:00:1693880588.736557 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.736569 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.736581 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 2.28882e-05 GB at time 2 I0000 00:00:1693880588.736644 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.736668 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880588.736680 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.736691 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.736702 1971473 auto_sharding.cc:2467] Total Cost: 0 (lower bound: 0) I0000 00:00:1693880588.736713 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.736807 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.736938 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:08.737469: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1,1,1 2023-09-05 02:23:08.737508: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1,1,1 2023-09-05 02:23:08.737524: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 2023-09-05 02:23:08.737670: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.737956 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880588.737988 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880588.738021 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.738412 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 35 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 19 I0000 00:00:1693880588.750960 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00038 I0000 00:00:1693880588.751102 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880588.751118 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.751130 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.751143 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 4.19617e-05 GB at time 2 I0000 00:00:1693880588.751192 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.751210 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 0) I0000 00:00:1693880588.751221 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.751233 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.751244 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 0) I0000 00:00:1693880588.751255 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.751284 1971473 auto_sharding.cc:2615] skip setting shardings for inst parameter.2 I0000 00:00:1693880588.751325 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880588.751396 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.752389 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 104 Total vector of variables: 3 Total instructions: 3 Memory budget: 0GB Number of ILP constraints: 33 I0000 00:00:1693880588.793136 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.45237e-05 I0000 00:00:1693880588.793292 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 0 I0000 00:00:1693880588.793307 1971473 auto_sharding_solver.cc:551] N = 3 I0000 00:00:1693880588.793320 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.793332 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 2.28882e-05 GB at time 2 I0000 00:00:1693880588.793393 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.793419 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880588.793431 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.793442 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.793453 1971473 auto_sharding.cc:2467] Total Cost: 0 (lower bound: 0) I0000 00:00:1693880588.793464 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.793554 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.793680 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.Matmul3DMeshShape2DSharding (130 ms) [ DISABLED ] AutoShardingTest.DISABLED_AddMeshShape3DAllOptions [ DISABLED ] AutoShardingTest.DISABLED_AddMeshShape3DNoAlphaBeta [ DISABLED ] AutoShardingTest.DISABLED_AddMeshShape3DNoAlphaBetaMeshIds [ DISABLED ] AutoShardingTest.DISABLED_AddMeshShape3DNoMeshIds [ DISABLED ] AutoShardingTest.DISABLED_MatMulMeshShape2D [ DISABLED ] AutoShardingTest.DISABLED_AddMeshShape2D [ DISABLED ] AutoShardingTest.DISABLED_AddMeshShape3D [ RUN ] AutoShardingTest.InvalidOptions 2023-09-05 02:23:08.795843: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1,1 2023-09-05 02:23:08.795889: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1,1 [ OK ] AutoShardingTest.InvalidOptions (2 ms) [ RUN ] AutoShardingTest.AutoShardingKeepUserShardingInputOutput 2023-09-05 02:23:08.823909: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1,1 2023-09-05 02:23:08.823955: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1,1 2023-09-05 02:23:08.823973: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 2023-09-05 02:23:08.824144: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.824465 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880588.824526 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: true I0000 00:00:1693880588.824579 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.825036 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 24 Total vector of variables: 4 Total instructions: 4 Memory budget: 0GB Number of ILP constraints: 25 I0000 00:00:1693880588.844120 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 6.0004 I0000 00:00:1693880588.844279 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 6 I0000 00:00:1693880588.844294 1971473 auto_sharding_solver.cc:551] N = 4 I0000 00:00:1693880588.844306 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.844320 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.00037384 GB at time 3 I0000 00:00:1693880588.844369 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.844389 1971473 auto_sharding.cc:2458] Total Computation Cost: 6 (lower bound: 6) I0000 00:00:1693880588.844400 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.844411 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.844422 1971473 auto_sharding.cc:2467] Total Cost: 6 (lower bound: 6) I0000 00:00:1693880588.844434 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.844460 1971473 auto_sharding.cc:2615] skip setting shardings for inst param0 I0000 00:00:1693880588.844472 1971473 auto_sharding.cc:2615] skip setting shardings for inst param1 I0000 00:00:1693880588.844516 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880588.844595 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.845854 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 56 Total vector of variables: 4 Total instructions: 4 Memory budget: 0GB Number of ILP constraints: 53 I0000 00:00:1693880588.868504 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 0.000223005 I0000 00:00:1693880588.868692 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 0 I0000 00:00:1693880588.868707 1971473 auto_sharding_solver.cc:551] N = 4 I0000 00:00:1693880588.868720 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.868732 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.00018692 GB at time 3 I0000 00:00:1693880588.868800 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.868825 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880588.868838 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.868848 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.868859 1971473 auto_sharding.cc:2467] Total Cost: 0 (lower bound: 0) I0000 00:00:1693880588.868870 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.868973 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.869111 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.AutoShardingKeepUserShardingInputOutput (73 ms) [ RUN ] AutoShardingTest.AutoShardingKeepUserShardingAdd 2023-09-05 02:23:08.887898: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1,1 2023-09-05 02:23:08.887974: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1,1 2023-09-05 02:23:08.887992: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 I0000 00:00:1693880588.888447 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880588.888508 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: true I0000 00:00:1693880588.888556 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.888906 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 22 Total vector of variables: 4 Total instructions: 4 Memory budget: 0GB Number of ILP constraints: 20 I0000 00:00:1693880588.917926 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 6.00056 I0000 00:00:1693880588.918063 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 6 I0000 00:00:1693880588.918078 1971473 auto_sharding_solver.cc:551] N = 4 I0000 00:00:1693880588.918090 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.918103 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.000213623 GB at time 3 I0000 00:00:1693880588.918147 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.918166 1971473 auto_sharding.cc:2458] Total Computation Cost: 6 (lower bound: 0) I0000 00:00:1693880588.918178 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.918189 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.918200 1971473 auto_sharding.cc:2467] Total Cost: 6 (lower bound: 0) I0000 00:00:1693880588.918211 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.918237 1971473 auto_sharding.cc:2615] skip setting shardings for inst param0 I0000 00:00:1693880588.918248 1971473 auto_sharding.cc:2615] skip setting shardings for inst param1 I0000 00:00:1693880588.918256 1971473 auto_sharding.cc:2615] skip setting shardings for inst add I0000 00:00:1693880588.918297 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880588.918369 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.919180 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 46 Total vector of variables: 4 Total instructions: 4 Memory budget: 0GB Number of ILP constraints: 32 I0000 00:00:1693880588.929895 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 0.000159731 I0000 00:00:1693880588.930036 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 0 I0000 00:00:1693880588.930052 1971473 auto_sharding_solver.cc:551] N = 4 I0000 00:00:1693880588.930062 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.930075 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.000106812 GB at time 3 I0000 00:00:1693880588.930132 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.930154 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880588.930166 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.930177 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.930188 1971473 auto_sharding.cc:2467] Total Cost: 0 (lower bound: 0) I0000 00:00:1693880588.930200 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.930320 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.930436 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.AutoShardingKeepUserShardingAdd (61 ms) [ RUN ] AutoShardingTest.AutoShardingKeepUserShardingDot 2023-09-05 02:23:08.931762: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:285] Using default values for device_mesh_alpha: 1,1 2023-09-05 02:23:08.931800: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:292] Using default values for device_mesh_beta: 1,1 2023-09-05 02:23:08.931816: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 I0000 00:00:1693880588.932245 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880588.932285 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: true I0000 00:00:1693880588.932328 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.932820 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 30 Total vector of variables: 4 Total instructions: 4 Memory budget: 0GB Number of ILP constraints: 24 I0000 00:00:1693880588.942347 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00026 I0000 00:00:1693880588.942478 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880588.942494 1971473 auto_sharding_solver.cc:551] N = 4 I0000 00:00:1693880588.942506 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.942519 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.00025177 GB at time 3 I0000 00:00:1693880588.942568 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.942589 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 0) I0000 00:00:1693880588.942600 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.942612 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.942623 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 0) I0000 00:00:1693880588.942634 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.942660 1971473 auto_sharding.cc:2615] skip setting shardings for inst param1 I0000 00:00:1693880588.942706 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880588.942774 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.944997 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 78 Total vector of variables: 4 Total instructions: 4 Memory budget: 0GB Number of ILP constraints: 48 I0000 00:00:1693880588.957079 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 0.000253071 I0000 00:00:1693880588.957255 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 0 I0000 00:00:1693880588.957271 1971473 auto_sharding_solver.cc:551] N = 4 I0000 00:00:1693880588.957283 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.957295 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.00018692 GB at time 3 I0000 00:00:1693880588.957361 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.957386 1971473 auto_sharding.cc:2458] Total Computation Cost: 0 (lower bound: 0) I0000 00:00:1693880588.957397 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.957409 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.957419 1971473 auto_sharding.cc:2467] Total Cost: 0 (lower bound: 0) I0000 00:00:1693880588.957431 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.957532 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.957665 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.AutoShardingKeepUserShardingDot (27 ms) [ DISABLED ] AutoShardingTest.DISABLED_TupleParameter [ RUN ] AutoShardingTest.Reshape 2023-09-05 02:23:08.959619: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880588.959973 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [64, 1] I0000 00:00:1693880588.960061 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.961882 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 59 Total vector of variables: 6 Total instructions: 7 Memory budget: 0GB Number of ILP constraints: 40 I0000 00:00:1693880588.975421 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 4.0007 I0000 00:00:1693880588.975575 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 4 I0000 00:00:1693880588.975593 1971473 auto_sharding_solver.cc:551] N = 7 I0000 00:00:1693880588.975604 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880588.975617 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.257813 GB at time 6 I0000 00:00:1693880588.975681 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880588.975704 1971473 auto_sharding.cc:2458] Total Computation Cost: 4 (lower bound: 2) I0000 00:00:1693880588.975716 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880588.975727 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880588.975737 1971473 auto_sharding.cc:2467] Total Cost: 4 (lower bound: 2) I0000 00:00:1693880588.975748 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880588.975864 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880588.976007 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds [ OK ] AutoShardingTest.Reshape (18 ms) [ RUN ] AutoShardingTest.TestReshardingCostsForUserAnnotatedSharding 2023-09-05 02:23:08.977242: I ./tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_option.h:340] Using default values for device_mesh_ids: 0,1,2,3 I0000 00:00:1693880588.977690 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880588.977722 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880588.977768 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880588.978227 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 40 Total vector of variables: 4 Total instructions: 4 Memory budget: 0GB Number of ILP constraints: 26 I0000 00:00:1693880589.007629 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00052 I0000 00:00:1693880589.007760 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880589.007775 1971473 auto_sharding_solver.cc:551] N = 4 I0000 00:00:1693880589.007788 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880589.007798 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.000549316 GB at time 3 I0000 00:00:1693880589.007835 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880589.007855 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 0) I0000 00:00:1693880589.007867 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880589.007878 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880589.007889 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 0) I0000 00:00:1693880589.007900 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880589.007919 1971473 auto_sharding.cc:2615] skip setting shardings for inst param0 I0000 00:00:1693880589.007952 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880589.008013 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880589.009098 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 112 Total vector of variables: 4 Total instructions: 4 Memory budget: 0GB Number of ILP constraints: 45 I0000 00:00:1693880589.021860 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 8.00075 I0000 00:00:1693880589.022045 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 8 I0000 00:00:1693880589.022064 1971473 auto_sharding_solver.cc:551] N = 4 I0000 00:00:1693880589.022077 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880589.022089 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 0.000793457 GB at time 3 I0000 00:00:1693880589.022168 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880589.022196 1971473 auto_sharding.cc:2458] Total Computation Cost: 8 (lower bound: 0) I0000 00:00:1693880589.022208 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880589.022219 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880589.022229 1971473 auto_sharding.cc:2467] Total Cost: 8 (lower bound: 0) I0000 00:00:1693880589.022241 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880589.022375 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880589.022494 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds I0000 00:00:1693880589.022540 1971473 auto_sharding_test.cc:955] HloModule module, entry_computation_layout={(f32[256,256]{1,0}, f32[256,256]{1,0})->f32[256,256]{1,0}} ENTRY %entry (param0: f32[256,256], param1: f32[256,256]) -> f32[256,256] { %param0 = f32[256,256]{1,0} parameter(0), sharding={replicated} %param1 = f32[256,256]{1,0} parameter(1), sharding={replicated} %dot = f32[256,256]{1,0} dot(f32[256,256]{1,0} %param0, f32[256,256]{1,0} %param1), lhs_contracting_dims={1}, rhs_contracting_dims={1}, sharding={replicated} %reshape = f32[256,256]{1,0} reshape(f32[256,256]{1,0} %dot), sharding={devices=[1,4]0,1,2,3} ROOT %result = f32[256,256]{1,0} tanh(f32[256,256]{1,0} %reshape), sharding={devices=[1,4]0,1,2,3} } [ OK ] AutoShardingTest.TestReshardingCostsForUserAnnotatedSharding (46 ms) [ RUN ] AutoShardingTest.AllowAliasToFollowerConversion 2023-09-05 02:23:09.023941: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880589.024305 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880589.024336 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880589.024373 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880589.024661 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 8 Total vector of variables: 4 Total instructions: 8 Memory budget: 0GB Number of ILP constraints: 4 I0000 00:00:1693880589.032358 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00026 I0000 00:00:1693880589.032464 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880589.032479 1971473 auto_sharding_solver.cc:551] N = 8 I0000 00:00:1693880589.032491 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880589.032503 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 5.97276e-05 GB at time 0 I0000 00:00:1693880589.032537 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880589.032552 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 3) I0000 00:00:1693880589.032563 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880589.032575 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880589.032586 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 3) I0000 00:00:1693880589.032597 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880589.032624 1971473 auto_sharding.cc:2615] skip setting shardings for inst param.0 I0000 00:00:1693880589.032697 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880589.032772 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880589.033180 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 11 Total vector of variables: 4 Total instructions: 8 Memory budget: 0GB Number of ILP constraints: 4 I0000 00:00:1693880589.040509 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00026 I0000 00:00:1693880589.040613 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880589.040627 1971473 auto_sharding_solver.cc:551] N = 8 I0000 00:00:1693880589.040639 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880589.040651 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 5.97276e-05 GB at time 0 I0000 00:00:1693880589.040687 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880589.040704 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 3) I0000 00:00:1693880589.040715 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880589.040726 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880589.040737 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 3) I0000 00:00:1693880589.040748 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880589.040871 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880589.041011 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:09.041170: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_test.cc:982] HloModule module, entry_computation_layout={(u32[], f32[32]{0}, f32[32]{0}, f32[32000]{0})->(u32[], f32[32]{0}, f32[32]{0}, f32[32000]{0})} ENTRY %entry (param.0: u32[], param.1: f32[32], param.2: f32[32], param.3: f32[32000]) -> (u32[], f32[32], f32[32], f32[32000]) { %param.0 = u32[] parameter(0), sharding={replicated} %param.1 = f32[32]{0} parameter(1), sharding={devices=[2,2]0,1,2,3 last_tile_dim_replicate} %param.2 = f32[32]{0} parameter(2), sharding={devices=[2,2]0,1,2,3 last_tile_dim_replicate} %param.3 = f32[32000]{0} parameter(3), sharding={devices=[2,2]0,1,2,3 last_tile_dim_replicate} ROOT %tuple.61 = (u32[], f32[32]{0}, f32[32]{0}, f32[32000]{0}) tuple(u32[] %param.0, f32[32]{0} %param.1, f32[32]{0} %param.2, f32[32000]{0} %param.3), sharding={{replicated}, {devices=[2,2]0,1,2,3 last_tile_dim_replicate}, {devices=[2,2]0,1,2,3 last_tile_dim_replicate}, {devices=[2,2]0,1,2,3 last_tile_dim_replicate}} } [ OK ] AutoShardingTest.AllowAliasToFollowerConversion (18 ms) [ RUN ] AutoShardingTest.DisallowAliasToFollowerConversion 2023-09-05 02:23:09.042352: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding.cc:3887] Removing user sharding annotations. I0000 00:00:1693880589.042699 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [1, 2] I0000 00:00:1693880589.042728 1971473 auto_sharding.cc:4118] Shardings are adjusted based on current partial mesh shape: false I0000 00:00:1693880589.042765 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880589.043059 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 8 Total vector of variables: 4 Total instructions: 8 Memory budget: 0GB Number of ILP constraints: 10 I0000 00:00:1693880589.051372 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00026 I0000 00:00:1693880589.051502 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880589.051517 1971473 auto_sharding_solver.cc:551] N = 8 I0000 00:00:1693880589.051529 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880589.051542 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 5.97276e-05 GB at time 0 I0000 00:00:1693880589.051581 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880589.051598 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 3) I0000 00:00:1693880589.051610 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880589.051621 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880589.051632 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 3) I0000 00:00:1693880589.051644 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880589.051670 1971473 auto_sharding.cc:2615] skip setting shardings for inst param.0 I0000 00:00:1693880589.051745 1971473 auto_sharding.cc:4105] Processing partial mesh shape: [2, 2] I0000 00:00:1693880589.051819 1971473 auto_sharding.cc:4142] Memory consumption lower bound is 1 GB. I0000 00:00:1693880589.052244 1971473 auto_sharding_solver.cc:445] Starting solver sat Solver parameter string: Number of workers: 32 Number of threads: 1 Time limit: 3600000 Number variables for ILP: 11 Total vector of variables: 4 Total instructions: 8 Memory budget: 0GB Number of ILP constraints: 22 I0000 00:00:1693880589.098168 1971473 auto_sharding_solver.cc:500] Solver Status: MPSOLVER_OPTIMAL Objective value: 3.00026 I0000 00:00:1693880589.098290 1971473 auto_sharding_solver.cc:550] Unsalted objective value: 3 I0000 00:00:1693880589.098305 1971473 auto_sharding_solver.cc:551] N = 8 I0000 00:00:1693880589.098317 1971473 auto_sharding_solver.cc:553] memory budget: -1 I0000 00:00:1693880589.098329 1971473 auto_sharding_solver.cc:89] using m[] and L[], max memory usage: 5.97276e-05 GB at time 0 I0000 00:00:1693880589.098377 1971473 auto_sharding.cc:2454] Total Communication Cost: 0 (lower bound: 0) I0000 00:00:1693880589.098394 1971473 auto_sharding.cc:2458] Total Computation Cost: 3 (lower bound: 3) I0000 00:00:1693880589.098406 1971473 auto_sharding.cc:2461] Total Resharding Cost: 0 (lower bound: 0) I0000 00:00:1693880589.098417 1971473 auto_sharding.cc:2464] Total Overbudget Cost: 0 (lower bound: 0) I0000 00:00:1693880589.098428 1971473 auto_sharding.cc:2467] Total Cost: 3 (lower bound: 3) I0000 00:00:1693880589.098439 1971473 auto_sharding.cc:2469] Total Violations: 0 I0000 00:00:1693880589.098556 1971473 auto_sharding.cc:3926] There is no registered layout_canonicalization_callback. I0000 00:00:1693880589.098694 1971473 auto_sharding.cc:4444] Auto Sharding took 0 seconds 2023-09-05 02:23:09.098855: I tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_test.cc:1009] HloModule module, entry_computation_layout={(u32[], f32[32]{0}, f32[32]{0}, f32[32000]{0})->(u32[], f32[32]{0}, f32[32]{0}, f32[32000]{0})} ENTRY %entry (param.0: u32[], param.1: f32[32], param.2: f32[32], param.3: f32[32000]) -> (u32[], f32[32], f32[32], f32[32000]) { %param.0 = u32[] parameter(0), sharding={replicated} %param.1 = f32[32]{0} parameter(1), sharding={devices=[2,2]0,1,2,3 last_tile_dim_replicate} %param.2 = f32[32]{0} parameter(2), sharding={devices=[2,2]0,1,2,3 last_tile_dim_replicate} %param.3 = f32[32000]{0} parameter(3), sharding={devices=[2,2]0,1,2,3 last_tile_dim_replicate} ROOT %tuple.61 = (u32[], f32[32]{0}, f32[32]{0}, f32[32000]{0}) tuple(u32[] %param.0, f32[32]{0} %param.1, f32[32]{0} %param.2, f32[32000]{0} %param.3), sharding={{replicated}, {devices=[2,2]0,1,2,3 last_tile_dim_replicate}, {devices=[2,2]0,1,2,3 last_tile_dim_replicate}, {devices=[2,2]0,1,2,3 last_tile_dim_replicate}} } [ OK ] AutoShardingTest.DisallowAliasToFollowerConversion (57 ms) [----------] 24 tests from AutoShardingTest (1399 ms total) [----------] Global test environment tear-down [==========] 25 tests from 2 test suites ran. (1443 ms total) [ PASSED ] 24 tests. [ FAILED ] 1 test, listed below: [ FAILED ] AutoShardingTest.TwoMatmul 1 FAILED TEST YOU HAVE 10 DISABLED TESTS ================================================================================ ==================== Test output for //tensorflow/python/ops:bincount_ops_test_cpu: 2023-09-05 03:02:16.499793: I tensorflow/core/util/port.cc:111] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. Running tests under Python 3.9.17: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/python_aarch64-unknown-linux-gnu/bin/python3 faulthandler.register(SIGTERM) failed AttributeError("module 'signal' has no attribute 'SIGTERM'"); ignoring. [ RUN ] RawOpsHeapOobTest.testSparseCountSparseOutputBadIndicesShapeTooSmall INFO:tensorflow:time(__main__.RawOpsHeapOobTest.testSparseCountSparseOutputBadIndicesShapeTooSmall): 0.0s I0905 03:02:22.313715 281472916945568 test_util.py:2477] time(__main__.RawOpsHeapOobTest.testSparseCountSparseOutputBadIndicesShapeTooSmall): 0.0s [ SKIPPED ] RawOpsHeapOobTest.testSparseCountSparseOutputBadIndicesShapeTooSmall [ RUN ] RawOpsHeapOobTest.test_session [ SKIPPED ] RawOpsHeapOobTest.test_session [ RUN ] TestDenseBincount.test_axis_neg_10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=None)): 0.13s I0905 03:02:22.443312 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=None)): 0.13s [ OK ] TestDenseBincount.test_axis_neg_10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_axis_neg_11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=None)): 0.02s I0905 03:02:22.462415 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_axis_neg_12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=None)): 0.01s I0905 03:02:22.478680 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_axis_neg_12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_axis_neg_13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=3)): 0.02s I0905 03:02:22.496624 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_axis_neg_14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=5)): 0.02s I0905 03:02:22.512913 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_axis_neg_15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=2, maxlength=3)): 0.02s I0905 03:02:22.530267 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_axis_neg_16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=5)): 0.02s I0905 03:02:22.547719 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_axis_neg_17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=10)): 0.02s I0905 03:02:22.565298 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_axis_neg_18 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_18 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=0)): 0.01s I0905 03:02:22.580583 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_18 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=0)): 0.01s [ OK ] TestDenseBincount.test_axis_neg_18 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.02s I0905 03:02:22.598731 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s I0905 03:02:22.616238 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s I0905 03:02:22.633468 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s I0905 03:02:22.650654 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s I0905 03:02:22.667986 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s I0905 03:02:22.685836 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s I0905 03:02:22.705693 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s I0905 03:02:22.724475 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s I0905 03:02:22.743427 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_binary_output16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_binary_output17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s I0905 03:02:22.760621 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_binary_output17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.02s I0905 03:02:22.777083 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s I0905 03:02:22.797617 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s I0905 03:02:22.816703 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s I0905 03:02:22.835471 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s I0905 03:02:22.854267 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s I0905 03:02:22.873027 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s I0905 03:02:22.892920 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s I0905 03:02:22.912151 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s I0905 03:02:22.932007 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_binary_output25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_binary_output26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s I0905 03:02:22.950417 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_binary_output26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=None)): 0.01s I0905 03:02:22.965422 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_binary_output27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=None)): 0.01s I0905 03:02:22.981313 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_binary_output28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=None)): 0.02s I0905 03:02:22.997895 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s I0905 03:02:23.015395 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=3)): 0.01s I0905 03:02:23.031379 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=3)): 0.01s [ OK ] TestDenseBincount.test_binary_output30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=5)): 0.01s I0905 03:02:23.047512 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=5)): 0.01s [ OK ] TestDenseBincount.test_binary_output31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=2, maxlength=3)): 0.02s I0905 03:02:23.066970 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=5)): 0.02s I0905 03:02:23.085851 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=10)): 0.02s I0905 03:02:23.103951 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_binary_output34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_binary_output35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=0)): 0.01s I0905 03:02:23.119630 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=0)): 0.01s [ OK ] TestDenseBincount.test_binary_output35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s I0905 03:02:23.137105 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s I0905 03:02:23.157188 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s I0905 03:02:23.176082 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s I0905 03:02:23.194712 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_binary_output7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_binary_output8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s I0905 03:02:23.212692 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_binary_output8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.01s I0905 03:02:23.228249 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_binary_output9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_default0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=None)): 0.03s I0905 03:02:23.258447 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=None)): 0.03s [ OK ] TestDenseBincount.test_default0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_default1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=None)): 0.02s I0905 03:02:23.284181 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_default10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=None)): 0.02s I0905 03:02:23.309825 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_default11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=None)): 0.03s I0905 03:02:23.336933 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=None)): 0.03s [ OK ] TestDenseBincount.test_default11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_default12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=3)): 0.03s I0905 03:02:23.364444 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=3)): 0.03s [ OK ] TestDenseBincount.test_default12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_default13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=5)): 0.03s I0905 03:02:23.392185 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=5)): 0.03s [ OK ] TestDenseBincount.test_default13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_default14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=2, maxlength=3)): 0.03s I0905 03:02:23.421331 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=2, maxlength=3)): 0.03s [ OK ] TestDenseBincount.test_default14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_default15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=5)): 0.03s I0905 03:02:23.450167 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=5)): 0.03s [ OK ] TestDenseBincount.test_default15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_default16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_default16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=10)): 0.03s I0905 03:02:23.478754 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=10)): 0.03s [ OK ] TestDenseBincount.test_default16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_default17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_default17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=0)): 0.12s I0905 03:02:23.601259 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=0)): 0.12s [ OK ] TestDenseBincount.test_default17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_default18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=None)): 0.02s I0905 03:02:23.626007 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_default19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=None)): 0.02s I0905 03:02:23.650738 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_default2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=None)): 0.02s I0905 03:02:23.675549 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_default20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=None)): 0.02s I0905 03:02:23.700096 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_default21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=3)): 0.02s I0905 03:02:23.726489 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_default21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_default22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=5)): 0.03s I0905 03:02:23.753169 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=5)): 0.03s [ OK ] TestDenseBincount.test_default22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_default23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=2, maxlength=3)): 0.03s I0905 03:02:23.781581 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=2, maxlength=3)): 0.03s [ OK ] TestDenseBincount.test_default23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_default24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=5)): 0.03s I0905 03:02:23.809450 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=5)): 0.03s [ OK ] TestDenseBincount.test_default24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_default25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_default25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=10)): 0.03s I0905 03:02:23.836220 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=10)): 0.03s [ OK ] TestDenseBincount.test_default25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_default26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_default26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=0)): 0.02s I0905 03:02:23.861108 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_default26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_default3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=3)): 0.02s I0905 03:02:23.885801 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_default3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_default4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=5)): 0.02s I0905 03:02:23.910977 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_default4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_default5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=2, maxlength=3)): 0.03s I0905 03:02:23.938699 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=2, maxlength=3)): 0.03s [ OK ] TestDenseBincount.test_default5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_default6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=5)): 0.03s I0905 03:02:23.966611 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=5)): 0.03s [ OK ] TestDenseBincount.test_default6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_default7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_default7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=10)): 0.03s I0905 03:02:23.993319 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=10)): 0.03s [ OK ] TestDenseBincount.test_default7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_default8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_default8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=0)): 0.02s I0905 03:02:24.018578 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_default8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_default9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=None)): 0.02s I0905 03:02:24.043516 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_default9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_session [ SKIPPED ] TestDenseBincount.test_session [ RUN ] TestDenseBincount.test_sparse_input_all_binary0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_binary0 (dtype=)): 0.02s I0905 03:02:24.069298 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_binary0 (dtype=)): 0.02s [ OK ] TestDenseBincount.test_sparse_input_all_binary0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_binary1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_binary1 (dtype=)): 0.03s I0905 03:02:24.096899 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_binary1 (dtype=)): 0.03s [ OK ] TestDenseBincount.test_sparse_input_all_binary1 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_count0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_count0 (dtype=)): 0.03s I0905 03:02:24.124559 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_count0 (dtype=)): 0.03s [ OK ] TestDenseBincount.test_sparse_input_all_count0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_count1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_count1 (dtype=)): 0.03s I0905 03:02:24.151857 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_count1 (dtype=)): 0.03s [ OK ] TestDenseBincount.test_sparse_input_all_count1 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_count_with_weights0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_count_with_weights0 (dtype=)): 0.05s I0905 03:02:24.205907 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_count_with_weights0 (dtype=)): 0.05s [ OK ] TestDenseBincount.test_sparse_input_all_count_with_weights0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_count_with_weights1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_count_with_weights1 (dtype=)): 0.04s I0905 03:02:24.249850 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_count_with_weights1 (dtype=)): 0.04s [ OK ] TestDenseBincount.test_sparse_input_all_count_with_weights1 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_col_reduce_binary0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_col_reduce_binary0 (dtype=)): 0.1s I0905 03:02:24.348149 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_col_reduce_binary0 (dtype=)): 0.1s [ OK ] TestDenseBincount.test_sparse_input_col_reduce_binary0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_col_reduce_binary1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_col_reduce_binary1 (dtype=)): 0.04s I0905 03:02:24.390557 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_col_reduce_binary1 (dtype=)): 0.04s [ OK ] TestDenseBincount.test_sparse_input_col_reduce_binary1 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_col_reduce_count0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_col_reduce_count0 (dtype=)): 0.03s I0905 03:02:24.422281 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_col_reduce_count0 (dtype=)): 0.03s [ OK ] TestDenseBincount.test_sparse_input_col_reduce_count0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_col_reduce_count1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_col_reduce_count1 (dtype=)): 0.03s I0905 03:02:24.453191 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_col_reduce_count1 (dtype=)): 0.03s [ OK ] TestDenseBincount.test_sparse_input_col_reduce_count1 (dtype=) [ RUN ] TestDenseBincount.test_weights0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=None)): 0.02s I0905 03:02:24.473578 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_weights1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=None)): 0.02s I0905 03:02:24.493360 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_weights10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None)): 0.02s I0905 03:02:24.512862 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_weights11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None)): 0.02s I0905 03:02:24.532896 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3)): 0.02s I0905 03:02:24.551829 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_weights13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5)): 0.02s I0905 03:02:24.577618 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3)): 0.02s I0905 03:02:24.597048 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_weights15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5)): 0.02s I0905 03:02:24.618530 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_weights16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10)): 0.02s I0905 03:02:24.638801 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_weights16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0)): 0.02s I0905 03:02:24.656768 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0)): 0.02s [ FAILED ] TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_weights18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None)): 0.02s I0905 03:02:24.675021 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_weights19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None)): 0.02s I0905 03:02:24.693602 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_weights2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=None)): 0.02s I0905 03:02:24.712240 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_weights20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None)): 0.02s I0905 03:02:24.730826 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3)): 0.02s I0905 03:02:24.750344 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_weights22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5)): 0.02s I0905 03:02:24.770820 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3)): 0.02s I0905 03:02:24.791162 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_weights24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5)): 0.02s I0905 03:02:24.813033 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_weights25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10)): 0.02s I0905 03:02:24.833563 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_weights25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0)): 0.02s I0905 03:02:24.851672 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0)): 0.02s [ FAILED ] TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_weights27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=None)): 0.01s I0905 03:02:24.867820 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_weights27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_weights28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=None)): 0.02s I0905 03:02:24.885142 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_weights29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=None)): 0.02s I0905 03:02:24.902506 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3)): 0.02s I0905 03:02:24.921006 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_weights30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=3)): 0.02s I0905 03:02:24.940270 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_weights30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_weights31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=5)): 0.02s I0905 03:02:24.958173 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_weights32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=2, maxlength=3)): 0.02s I0905 03:02:24.976895 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_weights32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_weights33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=5)): 0.02s I0905 03:02:24.995049 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_weights34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=10)): 0.04s I0905 03:02:25.032902 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=10)): 0.04s [ OK ] TestDenseBincount.test_weights34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_weights35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=0)): 0.03s I0905 03:02:25.067406 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=0)): 0.03s [ OK ] TestDenseBincount.test_weights35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_weights4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=5)): 0.02s I0905 03:02:25.091223 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3)): 0.02s I0905 03:02:25.110469 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_weights6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=5)): 0.02s I0905 03:02:25.131865 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_weights7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=10)): 0.02s I0905 03:02:25.151905 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_weights7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0)): 0.02s I0905 03:02:25.169506 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0)): 0.02s [ FAILED ] TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_weights9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None)): 0.02s I0905 03:02:25.188279 281472916945568 test_util.py:2477] time(__main__.TestDenseBincount.test_weights9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None) ====================================================================== ERROR: test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) test_weights(tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[3,0] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) test_weights(tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[3,0] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) (__main__.TestDenseBincount) TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) test_weights(tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[0,0] = 0 is out of range [0, 0) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) test_weights(tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[1,1,0] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) test_weights(tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[1,1,0] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) (__main__.TestDenseBincount) TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) test_weights(tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[0,0,0] = 0 is out of range [0, 0) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) test_weights(tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[3] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) test_weights(tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[3] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) (__main__.TestDenseBincount) TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) test_weights(tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[0] = 1 is out of range [0, 0) [Op:UnsortedSegmentSum] name: ---------------------------------------------------------------------- Ran 121 tests in 2.876s FAILED (errors=9, skipped=3) ================================================================================ ==================== Test output for //tensorflow/python/ops:bincount_ops_test_cpu: 2023-09-05 03:02:27.206446: I tensorflow/core/util/port.cc:111] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. Running tests under Python 3.9.17: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/python_aarch64-unknown-linux-gnu/bin/python3 faulthandler.register(SIGTERM) failed AttributeError("module 'signal' has no attribute 'SIGTERM'"); ignoring. [ RUN ] RawOpsHeapOobTest.testSparseCountSparseOutputBadIndicesShapeTooSmall INFO:tensorflow:time(__main__.RawOpsHeapOobTest.testSparseCountSparseOutputBadIndicesShapeTooSmall): 0.0s I0905 03:02:28.976608 281473544387232 test_util.py:2477] time(__main__.RawOpsHeapOobTest.testSparseCountSparseOutputBadIndicesShapeTooSmall): 0.0s [ SKIPPED ] RawOpsHeapOobTest.testSparseCountSparseOutputBadIndicesShapeTooSmall [ RUN ] RawOpsHeapOobTest.test_session [ SKIPPED ] RawOpsHeapOobTest.test_session [ RUN ] TestDenseBincount.test_axis_neg_10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=None)): 0.08s I0905 03:02:29.061956 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=None)): 0.08s [ OK ] TestDenseBincount.test_axis_neg_10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_axis_neg_11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=None)): 0.02s I0905 03:02:29.081894 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_axis_neg_12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=None)): 0.02s I0905 03:02:29.098259 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_axis_neg_13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=3)): 0.02s I0905 03:02:29.116554 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_axis_neg_14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=5)): 0.02s I0905 03:02:29.133096 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_axis_neg_15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=2, maxlength=3)): 0.02s I0905 03:02:29.150481 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_axis_neg_16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=5)): 0.02s I0905 03:02:29.167418 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_axis_neg_17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=10)): 0.02s I0905 03:02:29.185237 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_axis_neg_18 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_18 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=0)): 0.01s I0905 03:02:29.200814 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_18 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=0)): 0.01s [ OK ] TestDenseBincount.test_axis_neg_18 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.02s I0905 03:02:29.219855 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s I0905 03:02:29.237153 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s I0905 03:02:29.253870 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s I0905 03:02:29.270572 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s I0905 03:02:29.287609 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s I0905 03:02:29.305189 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s I0905 03:02:29.324442 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s I0905 03:02:29.343861 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s I0905 03:02:29.362283 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_binary_output16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_binary_output17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s I0905 03:02:29.379241 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_binary_output17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.01s I0905 03:02:29.394514 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_binary_output18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s I0905 03:02:29.411286 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s I0905 03:02:29.428231 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s I0905 03:02:29.444724 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s I0905 03:02:29.461336 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s I0905 03:02:29.477860 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s I0905 03:02:29.495841 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s I0905 03:02:29.514566 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.06s I0905 03:02:29.573342 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.06s [ OK ] TestDenseBincount.test_binary_output25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_binary_output26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.03s I0905 03:02:29.601449 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.03s [ OK ] TestDenseBincount.test_binary_output26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=None)): 0.01s I0905 03:02:29.615396 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_binary_output27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=None)): 0.01s I0905 03:02:29.630383 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_binary_output28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=None)): 0.01s I0905 03:02:29.645733 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_binary_output29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s I0905 03:02:29.662396 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=3)): 0.01s I0905 03:02:29.677341 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=3)): 0.01s [ OK ] TestDenseBincount.test_binary_output30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=5)): 0.01s I0905 03:02:29.692236 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=5)): 0.01s [ OK ] TestDenseBincount.test_binary_output31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=2, maxlength=3)): 0.02s I0905 03:02:29.708662 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=5)): 0.02s I0905 03:02:29.724997 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=10)): 0.02s I0905 03:02:29.741390 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_binary_output34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_binary_output35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=0)): 0.01s I0905 03:02:29.755903 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=0)): 0.01s [ OK ] TestDenseBincount.test_binary_output35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s I0905 03:02:29.772276 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s I0905 03:02:29.790118 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s I0905 03:02:29.808206 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s I0905 03:02:29.826597 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_binary_output7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_binary_output8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s I0905 03:02:29.843033 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_binary_output8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.01s I0905 03:02:29.858357 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_binary_output9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_default0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=None)): 0.03s I0905 03:02:29.885997 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=None)): 0.03s [ OK ] TestDenseBincount.test_default0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_default1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=None)): 0.02s I0905 03:02:29.909908 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_default10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=None)): 0.02s I0905 03:02:29.933531 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_default11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=None)): 0.02s I0905 03:02:29.957585 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_default12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=3)): 0.02s I0905 03:02:29.981693 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_default12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_default13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=5)): 0.02s I0905 03:02:30.005565 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_default13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_default14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=2, maxlength=3)): 0.02s I0905 03:02:30.031123 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_default14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_default15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=5)): 0.02s I0905 03:02:30.056909 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_default15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_default16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_default16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=10)): 0.02s I0905 03:02:30.083058 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_default16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_default17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_default17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=0)): 0.02s I0905 03:02:30.107282 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_default17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_default18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=None)): 0.02s I0905 03:02:30.130192 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_default19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=None)): 0.02s I0905 03:02:30.154623 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_default2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=None)): 0.02s I0905 03:02:30.178698 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_default20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=None)): 0.02s I0905 03:02:30.202528 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_default21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=3)): 0.02s I0905 03:02:30.226352 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_default21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_default22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=5)): 0.02s I0905 03:02:30.250595 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_default22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_default23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=2, maxlength=3)): 0.02s I0905 03:02:30.276715 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_default23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_default24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=5)): 0.05s I0905 03:02:30.332624 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=5)): 0.05s [ OK ] TestDenseBincount.test_default24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_default25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_default25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=10)): 0.04s I0905 03:02:30.375456 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=10)): 0.04s [ OK ] TestDenseBincount.test_default25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_default26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_default26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=0)): 0.02s I0905 03:02:30.398787 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_default26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_default3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=3)): 0.02s I0905 03:02:30.423200 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_default3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_default4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=5)): 0.02s I0905 03:02:30.447763 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_default4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_default5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=2, maxlength=3)): 0.02s I0905 03:02:30.473339 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_default5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_default6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=5)): 0.02s I0905 03:02:30.499101 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_default6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_default7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_default7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=10)): 0.02s I0905 03:02:30.525039 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_default7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_default8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_default8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=0)): 0.02s I0905 03:02:30.549315 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_default8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_default9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=None)): 0.13s I0905 03:02:30.677536 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_default9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=None)): 0.13s [ OK ] TestDenseBincount.test_default9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_session [ SKIPPED ] TestDenseBincount.test_session [ RUN ] TestDenseBincount.test_sparse_input_all_binary0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_binary0 (dtype=)): 0.1s I0905 03:02:30.780803 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_binary0 (dtype=)): 0.1s [ OK ] TestDenseBincount.test_sparse_input_all_binary0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_binary1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_binary1 (dtype=)): 0.06s I0905 03:02:30.840060 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_binary1 (dtype=)): 0.06s [ OK ] TestDenseBincount.test_sparse_input_all_binary1 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_count0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_count0 (dtype=)): 0.02s I0905 03:02:30.865660 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_count0 (dtype=)): 0.02s [ OK ] TestDenseBincount.test_sparse_input_all_count0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_count1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_count1 (dtype=)): 0.02s I0905 03:02:30.891282 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_count1 (dtype=)): 0.02s [ OK ] TestDenseBincount.test_sparse_input_all_count1 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_count_with_weights0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_count_with_weights0 (dtype=)): 0.05s I0905 03:02:30.943112 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_count_with_weights0 (dtype=)): 0.05s [ OK ] TestDenseBincount.test_sparse_input_all_count_with_weights0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_count_with_weights1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_count_with_weights1 (dtype=)): 0.04s I0905 03:02:30.985756 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_count_with_weights1 (dtype=)): 0.04s [ OK ] TestDenseBincount.test_sparse_input_all_count_with_weights1 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_col_reduce_binary0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_col_reduce_binary0 (dtype=)): 0.06s I0905 03:02:31.042874 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_col_reduce_binary0 (dtype=)): 0.06s [ OK ] TestDenseBincount.test_sparse_input_col_reduce_binary0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_col_reduce_binary1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_col_reduce_binary1 (dtype=)): 0.04s I0905 03:02:31.081112 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_col_reduce_binary1 (dtype=)): 0.04s [ OK ] TestDenseBincount.test_sparse_input_col_reduce_binary1 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_col_reduce_count0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_col_reduce_count0 (dtype=)): 0.03s I0905 03:02:31.111593 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_col_reduce_count0 (dtype=)): 0.03s [ OK ] TestDenseBincount.test_sparse_input_col_reduce_count0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_col_reduce_count1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_col_reduce_count1 (dtype=)): 0.03s I0905 03:02:31.141988 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_col_reduce_count1 (dtype=)): 0.03s [ OK ] TestDenseBincount.test_sparse_input_col_reduce_count1 (dtype=) [ RUN ] TestDenseBincount.test_weights0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=None)): 0.02s I0905 03:02:31.160889 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_weights1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=None)): 0.02s I0905 03:02:31.179441 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_weights10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None)): 0.02s I0905 03:02:31.197670 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_weights11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None)): 0.02s I0905 03:02:31.215705 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3)): 0.02s I0905 03:02:31.232895 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_weights13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5)): 0.02s I0905 03:02:31.258043 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3)): 0.02s I0905 03:02:31.276525 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_weights15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5)): 0.02s I0905 03:02:31.296909 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_weights16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10)): 0.02s I0905 03:02:31.316144 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_weights16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0)): 0.02s I0905 03:02:31.333115 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0)): 0.02s [ FAILED ] TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_weights18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None)): 0.02s I0905 03:02:31.350463 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_weights19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None)): 0.02s I0905 03:02:31.368048 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_weights2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=None)): 0.02s I0905 03:02:31.385551 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_weights20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None)): 0.02s I0905 03:02:31.403169 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3)): 0.02s I0905 03:02:31.419972 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_weights22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5)): 0.02s I0905 03:02:31.438736 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3)): 0.02s I0905 03:02:31.456936 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_weights24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5)): 0.02s I0905 03:02:31.477152 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_weights25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10)): 0.02s I0905 03:02:31.496435 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_weights25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0)): 0.02s I0905 03:02:31.513630 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0)): 0.02s [ FAILED ] TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_weights27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=None)): 0.01s I0905 03:02:31.528831 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_weights27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_weights28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=None)): 0.01s I0905 03:02:31.543859 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_weights28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_weights29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=None)): 0.01s I0905 03:02:31.558956 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_weights29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3)): 0.02s I0905 03:02:31.576029 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_weights30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=3)): 0.01s I0905 03:02:31.593186 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=3)): 0.01s [ OK ] TestDenseBincount.test_weights30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_weights31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=5)): 0.01s I0905 03:02:31.608686 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=5)): 0.01s [ OK ] TestDenseBincount.test_weights31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_weights32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=2, maxlength=3)): 0.02s I0905 03:02:31.625420 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_weights32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_weights33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=5)): 0.02s I0905 03:02:31.642466 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_weights34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=10)): 0.02s I0905 03:02:31.659222 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_weights34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_weights35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=0)): 0.01s I0905 03:02:31.673961 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=0)): 0.01s [ OK ] TestDenseBincount.test_weights35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_weights4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=5)): 0.02s I0905 03:02:31.691869 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3)): 0.02s I0905 03:02:31.710661 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_weights6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=5)): 0.02s I0905 03:02:31.732331 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_weights7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=10)): 0.02s I0905 03:02:31.752025 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_weights7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0)): 0.02s I0905 03:02:31.769091 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0)): 0.02s [ FAILED ] TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_weights9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None)): 0.02s I0905 03:02:31.787283 281473544387232 test_util.py:2477] time(__main__.TestDenseBincount.test_weights9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None) ====================================================================== ERROR: test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) test_weights(tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[3,0] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) test_weights(tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[3,0] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) (__main__.TestDenseBincount) TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) test_weights(tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[0,0] = 0 is out of range [0, 0) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) test_weights(tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[1,1,0] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) test_weights(tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[1,1,0] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) (__main__.TestDenseBincount) TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) test_weights(tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[0,0,0] = 0 is out of range [0, 0) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) test_weights(tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[3] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) test_weights(tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[3] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) (__main__.TestDenseBincount) TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) test_weights(tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[0] = 1 is out of range [0, 0) [Op:UnsortedSegmentSum] name: ---------------------------------------------------------------------- Ran 121 tests in 2.812s FAILED (errors=9, skipped=3) ================================================================================ ==================== Test output for //tensorflow/python/ops:bincount_ops_test_cpu: 2023-09-05 03:02:33.419547: I tensorflow/core/util/port.cc:111] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. Running tests under Python 3.9.17: /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/python_aarch64-unknown-linux-gnu/bin/python3 faulthandler.register(SIGTERM) failed AttributeError("module 'signal' has no attribute 'SIGTERM'"); ignoring. [ RUN ] RawOpsHeapOobTest.testSparseCountSparseOutputBadIndicesShapeTooSmall INFO:tensorflow:time(__main__.RawOpsHeapOobTest.testSparseCountSparseOutputBadIndicesShapeTooSmall): 0.0s I0905 03:02:35.473970 281473823046304 test_util.py:2477] time(__main__.RawOpsHeapOobTest.testSparseCountSparseOutputBadIndicesShapeTooSmall): 0.0s [ SKIPPED ] RawOpsHeapOobTest.testSparseCountSparseOutputBadIndicesShapeTooSmall [ RUN ] RawOpsHeapOobTest.test_session [ SKIPPED ] RawOpsHeapOobTest.test_session [ RUN ] TestDenseBincount.test_axis_neg_10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=None)): 0.12s I0905 03:02:35.598736 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=None)): 0.12s [ OK ] TestDenseBincount.test_axis_neg_10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_axis_neg_11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=None)): 0.02s I0905 03:02:35.616520 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_axis_neg_12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=None)): 0.01s I0905 03:02:35.631938 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_axis_neg_12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_axis_neg_13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=3)): 0.02s I0905 03:02:35.649450 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_axis_neg_14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=5)): 0.01s I0905 03:02:35.664787 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=5)): 0.01s [ OK ] TestDenseBincount.test_axis_neg_14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_axis_neg_15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=2, maxlength=3)): 0.02s I0905 03:02:35.681422 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_axis_neg_16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=5)): 0.02s I0905 03:02:35.698616 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_axis_neg_17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=10)): 0.02s I0905 03:02:35.716404 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_axis_neg_17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_axis_neg_18 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_axis_neg_18 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=0)): 0.01s I0905 03:02:35.732101 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_axis_neg_18 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=0)): 0.01s [ OK ] TestDenseBincount.test_axis_neg_18 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 2, 0], [0, 0, 0, 3]], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.02s I0905 03:02:35.750743 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s I0905 03:02:35.768800 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s I0905 03:02:35.787528 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s I0905 03:02:35.805156 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s I0905 03:02:35.823127 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s I0905 03:02:35.841748 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s I0905 03:02:35.861380 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s I0905 03:02:35.881641 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s I0905 03:02:35.901335 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_binary_output16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_binary_output17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s I0905 03:02:35.919233 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_binary_output17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.02s I0905 03:02:35.936522 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s I0905 03:02:35.954575 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s I0905 03:02:35.971661 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s I0905 03:02:35.988474 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s I0905 03:02:36.005633 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s I0905 03:02:36.022629 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s I0905 03:02:36.041113 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s I0905 03:02:36.059996 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s I0905 03:02:36.078503 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_binary_output25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_binary_output26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s I0905 03:02:36.095170 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_binary_output26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=None)): 0.01s I0905 03:02:36.109609 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_binary_output27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=None)): 0.01s I0905 03:02:36.125515 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_binary_output28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=None)): 0.01s I0905 03:02:36.141575 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_binary_output29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_binary_output3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s I0905 03:02:36.159413 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=3)): 0.01s I0905 03:02:36.175697 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=3)): 0.01s [ OK ] TestDenseBincount.test_binary_output30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=5)): 0.01s I0905 03:02:36.191492 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=5)): 0.01s [ OK ] TestDenseBincount.test_binary_output31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=2, maxlength=3)): 0.02s I0905 03:02:36.209548 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=5)): 0.02s I0905 03:02:36.227481 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=10)): 0.02s I0905 03:02:36.246804 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_binary_output34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_binary_output35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=0)): 0.02s I0905 03:02:36.263761 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_binary_output35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[[1, 0, 0, 0], [1, 1, 0, 0], [1, 0, 1, 0], [0, 0, 0, 1]], axis=-1, minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s I0905 03:02:36.282110 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s I0905 03:02:36.302364 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_binary_output5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_binary_output6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s I0905 03:02:36.321461 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_binary_output6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_binary_output7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s I0905 03:02:36.339786 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_binary_output7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_binary_output8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s I0905 03:02:36.356634 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_binary_output8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 1, 1], axis=None, minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_binary_output9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_binary_output9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.02s I0905 03:02:36.373410 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_binary_output9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_binary_output9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[1, 1, 1, 1], axis=None, minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_default0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=None)): 0.03s I0905 03:02:36.405582 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=None)): 0.03s [ OK ] TestDenseBincount.test_default0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_default1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=None)): 0.02s I0905 03:02:36.431898 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_default10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=None)): 0.02s I0905 03:02:36.456817 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_default11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=None)): 0.02s I0905 03:02:36.482371 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_default12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=3)): 0.03s I0905 03:02:36.510104 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=3)): 0.03s [ OK ] TestDenseBincount.test_default12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_default13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=5)): 0.03s I0905 03:02:36.538454 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=5)): 0.03s [ OK ] TestDenseBincount.test_default13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_default14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=2, maxlength=3)): 0.02s I0905 03:02:36.564375 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_default14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_default15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=5)): 0.03s I0905 03:02:36.591517 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=5)): 0.03s [ OK ] TestDenseBincount.test_default15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_default16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_default16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=10)): 0.03s I0905 03:02:36.617981 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=10)): 0.03s [ OK ] TestDenseBincount.test_default16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_default17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_default17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=0)): 0.02s I0905 03:02:36.642416 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_default17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_default18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=None)): 0.02s I0905 03:02:36.665979 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_default19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=None)): 0.02s I0905 03:02:36.691937 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_default2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=None)): 0.02s I0905 03:02:36.717453 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_default20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=None)): 0.02s I0905 03:02:36.743202 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_default21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=3)): 0.02s I0905 03:02:36.769043 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_default21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_default22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=5)): 0.03s I0905 03:02:36.796736 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=5)): 0.03s [ OK ] TestDenseBincount.test_default22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_default23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=2, maxlength=3)): 0.03s I0905 03:02:36.825958 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=2, maxlength=3)): 0.03s [ OK ] TestDenseBincount.test_default23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_default24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=5)): 0.03s I0905 03:02:36.855259 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=5)): 0.03s [ OK ] TestDenseBincount.test_default24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_default25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_default25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=10)): 0.03s I0905 03:02:36.884631 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=10)): 0.03s [ OK ] TestDenseBincount.test_default25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_default26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_default26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=0)): 0.03s I0905 03:02:36.912716 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=0)): 0.03s [ OK ] TestDenseBincount.test_default26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], expected=[6, 1, 2, 3], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_default3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=3)): 0.03s I0905 03:02:36.939837 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=3)): 0.03s [ OK ] TestDenseBincount.test_default3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_default4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=5)): 0.03s I0905 03:02:36.966523 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=5)): 0.03s [ OK ] TestDenseBincount.test_default4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_default5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_default5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=2, maxlength=3)): 0.03s I0905 03:02:36.995383 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=2, maxlength=3)): 0.03s [ OK ] TestDenseBincount.test_default5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_default6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_default6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=5)): 0.03s I0905 03:02:37.022836 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=5)): 0.03s [ OK ] TestDenseBincount.test_default6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_default7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_default7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=10)): 0.21s I0905 03:02:37.231445 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=10)): 0.21s [ OK ] TestDenseBincount.test_default7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_default8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_default8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=0)): 0.04s I0905 03:02:37.272552 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=0)): 0.04s [ OK ] TestDenseBincount.test_default8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], expected=[0, 1, 2, 3], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_default9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_default9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=None)): 0.02s I0905 03:02:37.296072 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_default9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_default9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], expected=[6, 1, 2, 3], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_session [ SKIPPED ] TestDenseBincount.test_session [ RUN ] TestDenseBincount.test_sparse_input_all_binary0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_binary0 (dtype=)): 0.02s I0905 03:02:37.321720 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_binary0 (dtype=)): 0.02s [ OK ] TestDenseBincount.test_sparse_input_all_binary0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_binary1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_binary1 (dtype=)): 0.02s I0905 03:02:37.347988 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_binary1 (dtype=)): 0.02s [ OK ] TestDenseBincount.test_sparse_input_all_binary1 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_count0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_count0 (dtype=)): 0.03s I0905 03:02:37.375025 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_count0 (dtype=)): 0.03s [ OK ] TestDenseBincount.test_sparse_input_all_count0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_count1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_count1 (dtype=)): 0.03s I0905 03:02:37.403681 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_count1 (dtype=)): 0.03s [ OK ] TestDenseBincount.test_sparse_input_all_count1 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_count_with_weights0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_count_with_weights0 (dtype=)): 0.06s I0905 03:02:37.463061 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_count_with_weights0 (dtype=)): 0.06s [ OK ] TestDenseBincount.test_sparse_input_all_count_with_weights0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_all_count_with_weights1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_all_count_with_weights1 (dtype=)): 0.04s I0905 03:02:37.509118 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_all_count_with_weights1 (dtype=)): 0.04s [ OK ] TestDenseBincount.test_sparse_input_all_count_with_weights1 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_col_reduce_binary0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_col_reduce_binary0 (dtype=)): 0.06s I0905 03:02:37.569312 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_col_reduce_binary0 (dtype=)): 0.06s [ OK ] TestDenseBincount.test_sparse_input_col_reduce_binary0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_col_reduce_binary1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_col_reduce_binary1 (dtype=)): 0.04s I0905 03:02:37.612492 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_col_reduce_binary1 (dtype=)): 0.04s [ OK ] TestDenseBincount.test_sparse_input_col_reduce_binary1 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_col_reduce_count0 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_col_reduce_count0 (dtype=)): 0.03s I0905 03:02:37.645392 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_col_reduce_count0 (dtype=)): 0.03s [ OK ] TestDenseBincount.test_sparse_input_col_reduce_count0 (dtype=) [ RUN ] TestDenseBincount.test_sparse_input_col_reduce_count1 (dtype=) INFO:tensorflow:time(__main__.TestDenseBincount.test_sparse_input_col_reduce_count1 (dtype=)): 0.03s I0905 03:02:37.678071 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_sparse_input_col_reduce_count1 (dtype=)): 0.03s [ OK ] TestDenseBincount.test_sparse_input_col_reduce_count1 (dtype=) [ RUN ] TestDenseBincount.test_weights0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=None)): 0.02s I0905 03:02:37.700343 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights0 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_weights1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=None)): 0.02s I0905 03:02:37.721100 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights1 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_weights10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None)): 0.02s I0905 03:02:37.740577 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights10 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_weights11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None)): 0.02s I0905 03:02:37.760041 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights11 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3)): 0.02s I0905 03:02:37.779727 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_weights13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5)): 0.02s I0905 03:02:37.807734 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights13 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3)): 0.02s I0905 03:02:37.827871 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_weights15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5)): 0.02s I0905 03:02:37.851838 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights15 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_weights16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10)): 0.02s I0905 03:02:37.873321 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_weights16 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0)): 0.02s I0905 03:02:37.893286 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0)): 0.02s [ FAILED ] TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_weights18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None)): 0.02s I0905 03:02:37.913341 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights18 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_weights19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None)): 0.02s I0905 03:02:37.933151 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights19 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_weights2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=None)): 0.02s I0905 03:02:37.953322 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights2 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_weights20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None)): 0.02s I0905 03:02:37.973436 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights20 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3)): 0.02s I0905 03:02:37.992736 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_weights22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5)): 0.02s I0905 03:02:38.013820 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights22 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3)): 0.02s I0905 03:02:38.034303 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_weights24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5)): 0.02s I0905 03:02:38.057127 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights24 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_weights25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10)): 0.02s I0905 03:02:38.078827 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_weights25 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0)): 0.02s I0905 03:02:38.098489 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0)): 0.02s [ FAILED ] TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_weights27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=None)): 0.01s I0905 03:02:38.115269 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_weights27 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=None) [ RUN ] TestDenseBincount.test_weights28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=None)): 0.01s I0905 03:02:38.131134 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=None)): 0.01s [ OK ] TestDenseBincount.test_weights28 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=None) [ RUN ] TestDenseBincount.test_weights29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=None)): 0.02s I0905 03:02:38.147804 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights29 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=None) [ RUN ] TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3)): 0.02s I0905 03:02:38.165811 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_weights30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=3)): 0.01s I0905 03:02:38.183205 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=3)): 0.01s [ OK ] TestDenseBincount.test_weights30 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=3) [ RUN ] TestDenseBincount.test_weights31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=5)): 0.02s I0905 03:02:38.200038 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights31 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_weights32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=2, maxlength=3)): 0.02s I0905 03:02:38.218305 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=2, maxlength=3)): 0.02s [ OK ] TestDenseBincount.test_weights32 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_weights33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=5)): 0.02s I0905 03:02:38.236460 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights33 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_weights34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=10)): 0.02s I0905 03:02:38.255128 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_weights34 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_weights35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=0)): 0.02s I0905 03:02:38.271638 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=0)): 0.02s [ OK ] TestDenseBincount.test_weights35 (tid='_d2_axis_neg_1', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=-1, expected=[[6, 0, 0, 0], [10, 5, 0, 0], [8, 0, 16, 0], [0, 0, 0, 33]], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_weights4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=5)): 0.02s I0905 03:02:38.291167 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights4 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=5) [ RUN ] TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3)): 0.02s I0905 03:02:38.311555 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3)): 0.02s [ FAILED ] TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) [ RUN ] TestDenseBincount.test_weights6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=5) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=5)): 0.02s I0905 03:02:38.334130 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=5)): 0.02s [ OK ] TestDenseBincount.test_weights6 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=3, maxlength=5) [ RUN ] TestDenseBincount.test_weights7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=10) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=10)): 0.02s I0905 03:02:38.354662 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=10)): 0.02s [ OK ] TestDenseBincount.test_weights7 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=5, maxlength=10) [ RUN ] TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0)): 0.02s I0905 03:02:38.373104 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0)): 0.02s [ FAILED ] TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) [ RUN ] TestDenseBincount.test_weights9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None) INFO:tensorflow:time(__main__.TestDenseBincount.test_weights9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None)): 0.02s I0905 03:02:38.392854 281473823046304 test_util.py:2477] time(__main__.TestDenseBincount.test_weights9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None)): 0.02s [ OK ] TestDenseBincount.test_weights9 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=None) ====================================================================== ERROR: test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights12 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) test_weights(tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[3,0] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights14 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) test_weights(tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[3,0] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) (__main__.TestDenseBincount) TestDenseBincount.test_weights17 (tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) test_weights(tid='_d2', x=[[0, 0, 0], [0, 1, 0], [2, 0, 2], [3, 3, 3]], weights=[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[0,0] = 0 is out of range [0, 0) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights21 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) test_weights(tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[1,1,0] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights23 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) test_weights(tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=2, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[1,1,0] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) (__main__.TestDenseBincount) TestDenseBincount.test_weights26 (tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) test_weights(tid='_d3', x=[[[0, 0, 0], [0, 1, 0]], [[2, 0, 2], [3, 3, 3]]], weights=[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]], axis=None, expected=[24, 5, 16, 33], minlength=None, maxlength=0) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[0,0,0] = 0 is out of range [0, 0) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights3 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) test_weights(tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[3] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) (__main__.TestDenseBincount) TestDenseBincount.test_weights5 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) test_weights(tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=2, maxlength=3) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[3] = 3 is out of range [0, 3) [Op:UnsortedSegmentSum] name: ====================================================================== ERROR: test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) (__main__.TestDenseBincount) TestDenseBincount.test_weights8 (tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) test_weights(tid='_d1', x=[1, 2, 2, 3, 3, 3], weights=[1, 2, 3, 4, 5, 6], axis=None, expected=[0, 1, 5, 15], minlength=None, maxlength=0) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/absl_py/absl/testing/parameterized.py", line 314, in bound_param_test return test_method(self, **testcase_params) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops_test.py", line 344, in test_weights bincount_ops.bincount( File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/traceback_utils.py", line 141, in error_handler return fn(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/util/dispatch.py", line 1260, in op_dispatch_handler return dispatch_target(*args, **kwargs) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/bincount_ops.py", line 158, in bincount return gen_math_ops.unsorted_segment_sum(weights, arr, output_size) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/ops/gen_math_ops.py", line 13188, in unsorted_segment_sum _ops.raise_from_not_ok_status(e, name) File "/home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/bin/tensorflow/python/ops/bincount_ops_test_cpu.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 5887, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__UnsortedSegmentSum_device_/job:localhost/replica:0/task:0/device:CPU:0}} segment_ids[0] = 1 is out of range [0, 0) [Op:UnsortedSegmentSum] name: ---------------------------------------------------------------------- Ran 121 tests in 2.920s FAILED (errors=9, skipped=3) ================================================================================ //tensorflow/c:c_api_experimental_test PASSED in 30.5s //tensorflow/c:c_api_function_test PASSED in 24.7s //tensorflow/c:c_api_test_cpu PASSED in 26.2s //tensorflow/c:c_test PASSED in 25.7s //tensorflow/c:env_test_cpu PASSED in 18.9s //tensorflow/c:kernels_test_cpu PASSED in 36.1s //tensorflow/c:ops_test PASSED in 18.1s //tensorflow/c:tf_status_helper_test PASSED in 0.1s //tensorflow/c:while_loop_test PASSED in 24.7s //tensorflow/c/eager:c_api_cluster_test_cpu PASSED in 27.0s //tensorflow/c/eager:c_api_remote_function_test_cpu PASSED in 32.9s //tensorflow/c/eager:c_api_remote_test_cpu PASSED in 24.4s //tensorflow/c/eager:c_api_test_cpu PASSED in 28.7s //tensorflow/c/eager:custom_device_test PASSED in 31.8s //tensorflow/c/eager:dlpack_test_cpu PASSED in 24.5s //tensorflow/c/eager/parallel_device:parallel_device_lib_test PASSED in 22.8s //tensorflow/c/eager/parallel_device:parallel_device_remote_test PASSED in 23.4s //tensorflow/c/eager/parallel_device:parallel_device_test PASSED in 23.4s //tensorflow/c/experimental/filesystem/plugins/gcs:expiring_lru_cache_test PASSED in 0.1s //tensorflow/c/experimental/filesystem/plugins/gcs:ram_file_block_cache_test PASSED in 3.8s //tensorflow/c/experimental/grappler:grappler_test PASSED in 21.6s //tensorflow/c/experimental/next_pluggable_device:tensor_pjrt_buffer_util_test PASSED in 8.7s //tensorflow/c/experimental/ops/gen/common:case_format_test PASSED in 0.4s //tensorflow/c/experimental/ops/gen/cpp:cpp_generator_test PASSED in 0.9s //tensorflow/c/experimental/ops/gen/cpp/renderers:renderer_test PASSED in 0.4s //tensorflow/c/experimental/saved_model/core:constant_loading_test PASSED in 9.9s //tensorflow/c/experimental/saved_model/core:object_graph_traversal_test PASSED in 8.7s //tensorflow/c/experimental/saved_model/core:saved_variable_loading_test PASSED in 13.1s //tensorflow/c/experimental/saved_model/core:signature_flattening_test PASSED in 9.8s //tensorflow/c/experimental/saved_model/core:tf_concrete_function_loading_test PASSED in 10.2s //tensorflow/c/experimental/saved_model/core/ops:restore_ops_test PASSED in 11.2s //tensorflow/c/experimental/saved_model/core/ops:variable_ops_test PASSED in 13.2s //tensorflow/c/experimental/saved_model/internal:saved_model_api_test PASSED in 25.9s //tensorflow/c/experimental/stream_executor:stream_executor_test PASSED in 0.1s //tensorflow/c/kernels:bitcast_op_test PASSED in 0.4s //tensorflow/c/kernels:summary_op_benchmark_test PASSED in 0.4s //tensorflow/c/kernels:summary_op_test PASSED in 1.0s //tensorflow/c/kernels:tensor_shape_utils_test PASSED in 0.1s //tensorflow/cc:cc_op_gen_test PASSED in 0.2s //tensorflow/cc:client_client_session_test PASSED in 1.9s //tensorflow/cc:coordinator_test PASSED in 4.0s //tensorflow/cc:framework_cc_ops_test PASSED in 2.1s //tensorflow/cc:framework_gradient_checker_test PASSED in 4.3s //tensorflow/cc:framework_gradients_test PASSED in 8.3s //tensorflow/cc:framework_scope_test PASSED in 0.4s //tensorflow/cc:framework_while_gradients_test PASSED in 4.0s //tensorflow/cc:gradients_array_grad_test PASSED in 4.6s //tensorflow/cc:gradients_data_flow_grad_test PASSED in 2.7s //tensorflow/cc:gradients_functional_grad_test PASSED in 2.0s //tensorflow/cc:gradients_image_grad_test PASSED in 9.4s //tensorflow/cc:gradients_linalg_grad_test PASSED in 2.0s //tensorflow/cc:gradients_manip_grad_test PASSED in 2.4s //tensorflow/cc:gradients_math_grad_test PASSED in 10.7s //tensorflow/cc:gradients_nn_grad_test PASSED in 6.8s //tensorflow/cc:gradients_resource_variable_grad_test PASSED in 2.0s //tensorflow/cc:ops_const_op_test PASSED in 0.7s //tensorflow/cc:ops_while_loop_test PASSED in 2.5s //tensorflow/cc:queue_runner_test PASSED in 12.7s //tensorflow/cc/experimental/base/tests:tensor_test PASSED in 0.1s //tensorflow/cc/experimental/base/tests:tensorhandle_test PASSED in 21.3s //tensorflow/cc/experimental/libexport:load_test PASSED in 0.2s //tensorflow/cc/experimental/libexport:save_test PASSED in 0.1s //tensorflow/cc/experimental/libtf:libtf_module_test PASSED in 30.8s //tensorflow/cc/experimental/libtf:libtf_object_test PASSED in 0.1s //tensorflow/cc/experimental/libtf:libtf_perf_test PASSED in 0.2s //tensorflow/cc/experimental/libtf:libtf_runtime_test PASSED in 30.2s //tensorflow/cc/experimental/libtf:libtf_transform_test PASSED in 33.0s //tensorflow/cc/experimental/libtf:libtf_value_test PASSED in 0.4s //tensorflow/cc/experimental/libtf:libtf_visit_test PASSED in 0.1s //tensorflow/cc/experimental/libtf/impl:iostream_test PASSED in 0.1s //tensorflow/cc/experimental/libtf/impl:none_test PASSED in 0.1s //tensorflow/cc/experimental/libtf/impl:scalars_test PASSED in 0.2s //tensorflow/cc/experimental/libtf/impl:string_test PASSED in 0.3s //tensorflow/cc/experimental/libtf/impl:tensor_spec_test PASSED in 0.1s //tensorflow/cc/saved_model:bundle_v2_test PASSED in 0.3s //tensorflow/cc/saved_model:fingerprinting_chunked_test PASSED in 0.1s //tensorflow/cc/saved_model:fingerprinting_test PASSED in 1.2s //tensorflow/cc/saved_model:fingerprinting_utils_test PASSED in 0.3s //tensorflow/cc/saved_model:metrics_test PASSED in 0.1s 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//tensorflow/compiler/mlir/tools/kernel_gen/tests:func_to_jit_invocations.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tools/kernel_gen/tests:invalid.mlir.test PASSED in 0.4s //tensorflow/compiler/mlir/tools/kernel_gen/tests:isinf.mlir.test PASSED in 2.5s //tensorflow/compiler/mlir/tools/kernel_gen/tests:ops.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tools/kernel_gen/tests:parallel_loops_to_sequential.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tools/kernel_gen/tests:rewrite_tf_framework_assert.mlir.test PASSED in 1.0s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tanh.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf-legalize-to-lmhlo.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_abi_knowledge.mlir.test PASSED in 1.4s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_framework_legalize_to_llvm.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tools/kernel_gen/tests:tf_kernel_gpu_launch_to_llvm.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tosa/tests:convert-tfl-uint8.mlir.test PASSED in 0.8s //tensorflow/compiler/mlir/tosa/tests:convert_metadata.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tosa/tests:fuse-bias-tf.mlir.test PASSED in 2.4s //tensorflow/compiler/mlir/tosa/tests:lower-complex-types.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tosa/tests:lower_global_tensors.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tosa/tests:multi_add.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tosa/tests:retain_call_once_funcs.mlir.test PASSED in 1.1s //tensorflow/compiler/mlir/tosa/tests:strip-quant-types.mlir.test PASSED in 0.7s //tensorflow/compiler/mlir/tosa/tests:strip_metadata.mlir.test PASSED in 0.5s //tensorflow/compiler/mlir/tosa/tests:tf-tfl-to-tosa-pipeline.mlir.test PASSED in 0.9s //tensorflow/compiler/mlir/tosa/tests:tf-to-tosa-pipeline.mlir.test PASSED in 1.6s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-dequantize_softmax.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-pipeline-filtered.mlir.test PASSED in 0.6s //tensorflow/compiler/mlir/tosa/tests:tfl-to-tosa-pipeline.mlir.test PASSED in 6.4s //tensorflow/compiler/mlir/tosa/tests:verify_fully_converted.mlir.test PASSED in 0.7s //tensorflow/compiler/tests:adadelta_test_cpu PASSED in 14.5s //tensorflow/compiler/tests:adagrad_da_test_cpu PASSED in 11.6s //tensorflow/compiler/tests:adagrad_test_cpu PASSED in 14.8s //tensorflow/compiler/tests:adam_test_cpu PASSED in 14.9s //tensorflow/compiler/tests:add_n_test_cpu PASSED in 10.3s //tensorflow/compiler/tests:argminmax_test_cpu PASSED in 12.6s //tensorflow/compiler/tests:argminmax_test_cpu_mlir_bridge_test PASSED in 25.2s //tensorflow/compiler/tests:bucketize_op_test_cpu PASSED in 10.0s //tensorflow/compiler/tests:bucketize_op_test_cpu_mlir_bridge_test PASSED in 10.1s //tensorflow/compiler/tests:case_test_cpu PASSED in 18.0s //tensorflow/compiler/tests:cast_ops_test_cpu PASSED in 9.7s //tensorflow/compiler/tests:cast_ops_test_cpu_mlir_bridge_test PASSED in 9.3s //tensorflow/compiler/tests:categorical_op_test_cpu PASSED in 12.8s //tensorflow/compiler/tests:categorical_op_test_cpu_mlir_bridge_test PASSED in 15.2s //tensorflow/compiler/tests:cholesky_op_test_cpu PASSED in 20.3s //tensorflow/compiler/tests:cholesky_op_test_cpu_mlir_bridge_test PASSED in 18.7s //tensorflow/compiler/tests:clustering_test_cpu PASSED in 9.7s //tensorflow/compiler/tests:clustering_test_cpu_mlir_bridge_test PASSED in 8.6s //tensorflow/compiler/tests:concat_ops_test_cpu PASSED in 11.8s //tensorflow/compiler/tests:concat_ops_test_cpu_mlir_bridge_test PASSED in 12.9s //tensorflow/compiler/tests:cond_test_cpu PASSED in 13.3s //tensorflow/compiler/tests:const_arg_test_cpu PASSED in 9.5s //tensorflow/compiler/tests:const_test_cpu PASSED in 10.9s //tensorflow/compiler/tests:data_format_ops_test_cpu PASSED in 18.0s //tensorflow/compiler/tests:data_format_ops_test_cpu_mlir_bridge_test PASSED in 23.6s //tensorflow/compiler/tests:dense_layer_test_cpu PASSED in 25.4s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu PASSED in 12.1s //tensorflow/compiler/tests:dynamic_slice_ops_test_cpu_mlir_bridge_test PASSED in 17.6s //tensorflow/compiler/tests:dynamic_stitch_test_cpu PASSED in 9.6s //tensorflow/compiler/tests:dynamic_stitch_test_cpu_mlir_bridge_test PASSED in 16.2s //tensorflow/compiler/tests:eager_test_cpu PASSED in 21.3s //tensorflow/compiler/tests:einsum_op_test_cpu PASSED in 9.6s //tensorflow/compiler/tests:einsum_op_test_cpu_mlir_bridge_test PASSED in 11.4s //tensorflow/compiler/tests:ensure_shape_op_test_cpu PASSED in 14.8s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu PASSED in 9.3s //tensorflow/compiler/tests:extract_image_patches_op_test_cpu_mlir_bridge_test PASSED in 10.0s //tensorflow/compiler/tests:fake_quant_ops_test_cpu PASSED in 15.4s //tensorflow/compiler/tests:fake_quant_ops_test_cpu_mlir_bridge_test PASSED in 15.7s //tensorflow/compiler/tests:fifo_queue_test_cpu PASSED in 10.4s //tensorflow/compiler/tests:fifo_queue_test_cpu_mlir_bridge_test PASSED in 12.8s //tensorflow/compiler/tests:ftrl_ops_test_cpu PASSED in 11.2s //tensorflow/compiler/tests:ftrl_ops_test_cpu_mlir_bridge_test PASSED in 14.0s //tensorflow/compiler/tests:function_test_cpu PASSED in 9.7s //tensorflow/compiler/tests:function_test_cpu_mlir_bridge_test PASSED in 10.5s //tensorflow/compiler/tests:gather_nd_op_test_cpu PASSED in 11.4s //tensorflow/compiler/tests:gather_nd_op_test_cpu_mlir_bridge_test PASSED in 9.2s //tensorflow/compiler/tests:gather_test_cpu PASSED in 36.2s //tensorflow/compiler/tests:gather_test_cpu_mlir_bridge_test PASSED in 41.4s //tensorflow/compiler/tests:jit_test_cpu PASSED in 69.5s //tensorflow/compiler/tests:listdiff_op_test_cpu PASSED in 12.0s //tensorflow/compiler/tests:listdiff_op_test_cpu_mlir_bridge_test PASSED in 13.8s //tensorflow/compiler/tests:lrn_ops_test_cpu PASSED in 9.1s //tensorflow/compiler/tests:lrn_ops_test_cpu_mlir_bridge_test PASSED in 9.9s //tensorflow/compiler/tests:lstm_test_cpu PASSED in 35.4s //tensorflow/compiler/tests:manip_ops_test_cpu PASSED in 12.4s //tensorflow/compiler/tests:manip_ops_test_cpu_mlir_bridge_test PASSED in 14.7s //tensorflow/compiler/tests:matrix_band_part_test_cpu PASSED in 55.2s //tensorflow/compiler/tests:matrix_band_part_test_cpu_mlir_bridge_test PASSED in 38.2s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu PASSED in 18.9s //tensorflow/compiler/tests:matrix_inverse_op_test_cpu_mlir_bridge_test PASSED in 21.1s //tensorflow/compiler/tests:matrix_solve_op_test_cpu PASSED in 10.7s //tensorflow/compiler/tests:matrix_solve_op_test_cpu_mlir_bridge_test PASSED in 10.5s //tensorflow/compiler/tests:momentum_test_cpu PASSED in 11.4s //tensorflow/compiler/tests:nary_ops_test_cpu PASSED in 13.6s //tensorflow/compiler/tests:nary_ops_test_cpu_mlir_bridge_test PASSED in 16.5s //tensorflow/compiler/tests:nullary_ops_test_cpu PASSED in 10.9s //tensorflow/compiler/tests:nullary_ops_test_cpu_mlir_bridge_test PASSED in 9.5s //tensorflow/compiler/tests:placeholder_test_cpu PASSED in 10.0s //tensorflow/compiler/tests:placeholder_test_cpu_mlir_bridge_test PASSED in 11.2s //tensorflow/compiler/tests:proximal_adagrad_test_cpu PASSED in 10.9s //tensorflow/compiler/tests:proximal_gradient_descent_test_cpu PASSED in 15.0s //tensorflow/compiler/tests:quantized_ops_test_cpu PASSED in 10.7s //tensorflow/compiler/tests:reduce_window_test_cpu PASSED in 9.4s //tensorflow/compiler/tests:reduce_window_test_cpu_mlir_bridge_test PASSED in 9.1s //tensorflow/compiler/tests:reshape_op_test_cpu PASSED in 10.3s //tensorflow/compiler/tests:reshape_op_test_cpu_mlir_bridge_test PASSED in 11.3s //tensorflow/compiler/tests:reverse_ops_test_cpu PASSED in 16.9s //tensorflow/compiler/tests:reverse_ops_test_cpu_mlir_bridge_test PASSED in 12.7s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu PASSED in 10.7s //tensorflow/compiler/tests:reverse_sequence_op_test_cpu_mlir_bridge_test PASSED in 11.2s //tensorflow/compiler/tests:rmsprop_test_cpu PASSED in 13.4s //tensorflow/compiler/tests:scatter_nd_op_test_cpu PASSED in 22.9s //tensorflow/compiler/tests:scatter_nd_op_test_cpu_mlir_bridge_test PASSED in 29.1s //tensorflow/compiler/tests:searchsorted_op_test_cpu PASSED in 9.8s //tensorflow/compiler/tests:searchsorted_op_test_cpu_mlir_bridge_test PASSED in 13.3s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu PASSED in 23.6s //tensorflow/compiler/tests:segment_reduction_ops_test_cpu_mlir_bridge_test PASSED in 44.8s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu PASSED in 19.0s //tensorflow/compiler/tests:self_adjoint_eig_op_test_cpu_mlir_bridge_test PASSED in 15.3s //tensorflow/compiler/tests:slice_ops_test_cpu PASSED in 19.1s //tensorflow/compiler/tests:slice_ops_test_cpu_mlir_bridge_test PASSED in 29.6s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu PASSED in 10.9s //tensorflow/compiler/tests:sparse_to_dense_op_test_cpu_mlir_bridge_test PASSED in 9.9s //tensorflow/compiler/tests:stack_ops_test_cpu PASSED in 9.8s //tensorflow/compiler/tests:tensor_float_32_test_cpu PASSED in 11.7s //tensorflow/compiler/tests:tensor_float_32_test_cpu_mlir_bridge_test PASSED in 12.7s //tensorflow/compiler/tests:tensor_list_ops_test_cpu PASSED in 10.4s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu PASSED in 21.4s //tensorflow/compiler/tests:tridiagonal_matmul_ops_test_cpu_mlir_bridge_test PASSED in 17.4s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu PASSED in 14.5s //tensorflow/compiler/tests:tridiagonal_solve_ops_test_cpu_mlir_bridge_test PASSED in 17.2s //tensorflow/compiler/tests:unique_ops_test_cpu PASSED in 9.6s //tensorflow/compiler/tests:variable_ops_test_cpu PASSED in 25.8s //tensorflow/compiler/tests:variable_ops_test_cpu_mlir_bridge_test PASSED in 16.3s //tensorflow/compiler/tests:where_op_test_cpu PASSED in 10.3s //tensorflow/compiler/tests:while_test_cpu PASSED in 16.4s //tensorflow/compiler/tests:xla_call_module_no_platform_check_test_cpu PASSED in 10.9s //tensorflow/compiler/tests:xla_call_module_no_shape_assertions_check_test_cpu PASSED in 11.8s //tensorflow/compiler/tests:xla_call_module_test_cpu PASSED in 12.1s //tensorflow/compiler/tests:xla_custom_call_ops_test_cpu PASSED in 9.2s //tensorflow/compiler/tests:xla_device_gpu_test_cpu PASSED in 8.0s //tensorflow/compiler/tests:xla_device_test_cpu PASSED in 15.7s //tensorflow/compiler/tests:xla_device_test_cpu_mlir_bridge_test PASSED in 17.2s //tensorflow/compiler/tests:xla_ops_test_cpu PASSED in 31.5s //tensorflow/compiler/tests:xla_ops_test_cpu_mlir_bridge_test PASSED in 31.8s //tensorflow/compiler/tests:xla_test_test PASSED in 11.8s //tensorflow/compiler/tf2xla:const_analysis_test PASSED in 4.7s //tensorflow/compiler/tf2xla:cpu_function_runtime_test PASSED in 0.1s //tensorflow/compiler/tf2xla:functionalize_cond_test PASSED in 0.7s //tensorflow/compiler/tf2xla:functionalize_control_flow_test PASSED in 1.4s //tensorflow/compiler/tf2xla:fused_batchnorm_reserve_space_test_cpu PASSED in 21.2s //tensorflow/compiler/tf2xla:graph_compiler_test PASSED in 4.1s //tensorflow/compiler/tf2xla:literal_util_test PASSED in 0.6s //tensorflow/compiler/tf2xla:resource_operation_table_test PASSED in 4.7s //tensorflow/compiler/tf2xla:resource_util_test_cpu PASSED in 1.7s //tensorflow/compiler/tf2xla:sharding_util_test PASSED in 1.1s //tensorflow/compiler/tf2xla:tf2xla_opset_test PASSED in 6.9s //tensorflow/compiler/tf2xla:tf2xla_test PASSED in 15.4s //tensorflow/compiler/tf2xla:tf2xla_util_test PASSED in 1.4s //tensorflow/compiler/tf2xla:xla_compiler_test PASSED in 12.3s //tensorflow/compiler/tf2xla:xla_jit_compiled_cpu_function_test PASSED in 16.8s //tensorflow/compiler/tf2xla:xla_op_registry_test PASSED in 5.0s //tensorflow/compiler/tf2xla/kernels:rng_converter_utils_test PASSED in 1.2s //tensorflow/compiler/xla:array2d_test PASSED in 0.1s //tensorflow/compiler/xla:array3d_test PASSED in 0.1s //tensorflow/compiler/xla:array4d_test PASSED in 0.2s //tensorflow/compiler/xla:array_test PASSED in 0.1s //tensorflow/compiler/xla:bit_cast_test PASSED in 0.1s //tensorflow/compiler/xla:comparison_util_test PASSED in 0.3s //tensorflow/compiler/xla:debug_options_parsers_test PASSED in 0.1s //tensorflow/compiler/xla:index_util_test PASSED in 0.2s //tensorflow/compiler/xla:iterator_util_test PASSED in 0.1s //tensorflow/compiler/xla:layout_test PASSED in 0.1s //tensorflow/compiler/xla:layout_util_test PASSED in 0.3s //tensorflow/compiler/xla:literal_test PASSED in 0.3s //tensorflow/compiler/xla:parse_flags_from_env_test PASSED in 0.6s //tensorflow/compiler/xla:permutation_util_test PASSED in 0.2s //tensorflow/compiler/xla:primitive_util_test PASSED in 0.1s //tensorflow/compiler/xla:refcounting_hash_map_test PASSED in 0.3s //tensorflow/compiler/xla:reference_util_test PASSED in 0.4s //tensorflow/compiler/xla:shape_test PASSED in 0.6s //tensorflow/compiler/xla:shape_tree_test PASSED in 0.6s //tensorflow/compiler/xla:shape_util_test PASSED in 2.6s //tensorflow/compiler/xla:status_macros_test PASSED in 0.1s //tensorflow/compiler/xla:text_literal_reader_test PASSED in 0.2s //tensorflow/compiler/xla:text_literal_writer_test PASSED in 0.1s //tensorflow/compiler/xla:types_test PASSED in 0.2s //tensorflow/compiler/xla:util_test PASSED in 0.1s //tensorflow/compiler/xla:window_util_test PASSED in 0.1s //tensorflow/compiler/xla/client:padding_test PASSED in 0.1s //tensorflow/compiler/xla/client:xla_builder_test PASSED in 0.9s //tensorflow/compiler/xla/client/lib:arithmetic_test_cpu PASSED in 6.5s //tensorflow/compiler/xla/client/lib:comparators_test_cpu PASSED in 8.7s //tensorflow/compiler/xla/client/lib:constants_test_cpu PASSED in 6.8s //tensorflow/compiler/xla/client/lib:logdet_test_cpu PASSED in 7.2s //tensorflow/compiler/xla/client/lib:math_test_cpu PASSED in 12.1s //tensorflow/compiler/xla/client/lib:matrix_test_cpu PASSED in 8.0s //tensorflow/compiler/xla/client/lib:pooling_test_cpu PASSED in 7.5s //tensorflow/compiler/xla/client/lib:qr_test_cpu PASSED in 9.4s //tensorflow/compiler/xla/client/lib:slicing_test_cpu PASSED in 6.6s //tensorflow/compiler/xla/client/lib:sorting_test_cpu PASSED in 6.4s //tensorflow/compiler/xla/client/lib:tuple_test_cpu PASSED in 5.8s //tensorflow/compiler/xla/examples/axpy:stablehlo_compile_test PASSED in 7.4s //tensorflow/compiler/xla/experiments/sm_bandwidth_benchmark:sm_bw_test PASSED in 0.1s //tensorflow/compiler/xla/hlo/evaluator:hlo_evaluator_test PASSED in 25.1s //tensorflow/compiler/xla/hlo/experimental/auto_sharding:auto_sharding_solver_test PASSED in 1.8s //tensorflow/compiler/xla/hlo/transforms:hlo_constant_splitter_test PASSED in 0.6s //tensorflow/compiler/xla/hlo/utils:hlo_live_range_test PASSED in 0.6s //tensorflow/compiler/xla/hlo/utils:hlo_matchers_test PASSED in 0.8s //tensorflow/compiler/xla/hlo/utils:hlo_sharding_util_test PASSED in 0.1s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:collective_ops.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:fft.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:legalize_i1_vector_transfers.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:library_ops_to_cpu_runtime.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:lmhlo_custom_call.mlir.test PASSED in 0.8s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:remove_copies_to_out_params.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:rng_bit_generator.mlir.test PASSED in 0.7s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_abi_legalization.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_cpu_infeed.mlir.test PASSED in 1.3s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_cpu_memref_element_cast_to_llvm.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/cpu/transforms/tests:xla_cpu_outfeed.mlir.test PASSED in 1.2s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:add_concurrent_regions.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:add_hlo_trace.mlir.test PASSED in 0.6s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_launch.mlir.test PASSED in 0.4s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_memcpy.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:gpu_memset.mlir.test PASSED in 0.5s //tensorflow/compiler/xla/mlir/backends/gpu/transforms/tests:lmhlo_case.mlir.test PASSED in 1.7s 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//tensorflow/compiler/xla/service:profile_guided_latency_estimator_test PASSED in 0.6s //tensorflow/compiler/xla/service:real_imag_expander_test PASSED in 1.1s //tensorflow/compiler/xla/service:reduce_decomposer_test PASSED in 1.0s //tensorflow/compiler/xla/service:reduce_scatter_combiner_test PASSED in 0.7s //tensorflow/compiler/xla/service:reduce_scatter_decomposer_test PASSED in 0.6s //tensorflow/compiler/xla/service:reduce_scatter_reassociate_test PASSED in 0.6s //tensorflow/compiler/xla/service:reshape_decomposer_test PASSED in 0.7s //tensorflow/compiler/xla/service:reshape_mover_test PASSED in 0.8s //tensorflow/compiler/xla/service:result_caster_test PASSED in 1.4s //tensorflow/compiler/xla/service:root_instruction_sinker_test PASSED in 1.3s //tensorflow/compiler/xla/service:scatter_expander_test PASSED in 0.6s //tensorflow/compiler/xla/service:scatter_simplifier_test PASSED in 1.0s //tensorflow/compiler/xla/service:select_and_scatter_expander_test PASSED in 1.8s //tensorflow/compiler/xla/service:shape_inference_test PASSED in 0.2s //tensorflow/compiler/xla/service:shaped_buffer_test PASSED in 5.8s //tensorflow/compiler/xla/service:sharding_propagation_test PASSED in 1.9s //tensorflow/compiler/xla/service:sharding_remover_test PASSED in 0.6s //tensorflow/compiler/xla/service:simplify_fp_conversions_test PASSED in 0.6s //tensorflow/compiler/xla/service:slice_sinker_test PASSED in 0.7s //tensorflow/compiler/xla/service:sort_simplifier_test PASSED in 1.5s //tensorflow/compiler/xla/service:space_to_batch_converter_test PASSED in 0.8s //tensorflow/compiler/xla/service:stable_sort_expander_test PASSED in 0.6s //tensorflow/compiler/xla/service:stochastic_convert_decomposer_test PASSED in 0.6s //tensorflow/compiler/xla/service:stream_pool_test PASSED in 0.5s //tensorflow/compiler/xla/service:topk_rewriter_test PASSED in 2.7s //tensorflow/compiler/xla/service:transpose_folding_test PASSED in 1.2s //tensorflow/compiler/xla/service:tuple_points_to_analysis_test PASSED in 1.0s //tensorflow/compiler/xla/service:tuple_simplifier_test PASSED in 0.6s //tensorflow/compiler/xla/service:tuple_util_test PASSED in 0.6s //tensorflow/compiler/xla/service:value_range_test PASSED in 1.3s //tensorflow/compiler/xla/service:while_loop_all_reduce_code_motion_test PASSED in 0.9s //tensorflow/compiler/xla/service:while_loop_analysis_test PASSED in 0.6s //tensorflow/compiler/xla/service:while_loop_concat_code_motion_test PASSED in 0.7s //tensorflow/compiler/xla/service:while_loop_constant_sinking_test PASSED in 0.7s //tensorflow/compiler/xla/service:while_loop_expensive_invariant_code_motion_test PASSED in 0.6s //tensorflow/compiler/xla/service:while_loop_invariant_code_motion_test PASSED in 0.7s //tensorflow/compiler/xla/service:while_loop_simplifier_test PASSED in 2.0s //tensorflow/compiler/xla/service:while_loop_trip_count_annotator_test PASSED in 1.0s //tensorflow/compiler/xla/service:while_util_test PASSED in 0.6s //tensorflow/compiler/xla/service:xla_aot_compile_stablehlo_cpu_test PASSED in 6.1s //tensorflow/compiler/xla/service:xla_debug_info_manager_test PASSED in 0.7s //tensorflow/compiler/xla/service:zero_sized_hlo_elimination_test PASSED in 0.8s //tensorflow/compiler/xla/service/cpu:conv_canonicalization_test PASSED in 0.9s //tensorflow/compiler/xla/service/cpu:cpu_eigen_tensor_alignment_test PASSED in 0.9s //tensorflow/compiler/xla/service/cpu:cpu_instruction_fusion_test PASSED in 1.1s //tensorflow/compiler/xla/service/cpu:cpu_layout_assignment_test PASSED in 2.0s //tensorflow/compiler/xla/service/cpu:ir_emission_utils_test PASSED in 0.9s //tensorflow/compiler/xla/service/cpu:parallel_task_assignment_test PASSED in 2.6s //tensorflow/compiler/xla/service/cpu:runtime_fft_test PASSED in 0.1s //tensorflow/compiler/xla/service/cpu:shape_partition_test PASSED in 0.8s //tensorflow/compiler/xla/service/cpu:xfeed_manager_test PASSED in 0.5s //tensorflow/compiler/xla/service/cpu/tests:cpu_bytesizeof_test PASSED in 0.4s //tensorflow/compiler/xla/service/cpu/tests:cpu_dyn_shape_test PASSED in 7.0s //tensorflow/compiler/xla/service/cpu/tests:cpu_external_constants_test PASSED in 20.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_fusion_test PASSED in 5.3s //tensorflow/compiler/xla/service/cpu/tests:cpu_infeed_test PASSED in 8.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_intrinsic_test PASSED in 7.1s //tensorflow/compiler/xla/service/cpu/tests:cpu_key_value_sort_test PASSED in 5.6s //tensorflow/compiler/xla/service/cpu/tests:cpu_literal_caching_test PASSED in 7.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_noalias_test PASSED in 5.7s //tensorflow/compiler/xla/service/cpu/tests:cpu_outfeed_test PASSED in 5.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_profiling_test PASSED in 6.9s //tensorflow/compiler/xla/service/cpu/tests:cpu_spmd_compile_test PASSED in 6.9s //tensorflow/compiler/xla/service/cpu/tests:cpu_topk_test PASSED in 6.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_vectorization_test PASSED in 7.2s //tensorflow/compiler/xla/service/cpu/tests:cpu_while_test PASSED in 6.6s //tensorflow/compiler/xla/service/cpu/tests:tree_reduction_rewriter_test PASSED in 6.0s //tensorflow/compiler/xla/service/gpu:alias_passthrough_params_test PASSED in 0.7s //tensorflow/compiler/xla/service/gpu:all_reduce_blueconnect_test PASSED in 0.7s //tensorflow/compiler/xla/service/gpu:autotuner_util_test PASSED in 0.3s //tensorflow/compiler/xla/service/gpu:backend_configs_test PASSED in 0.7s //tensorflow/compiler/xla/service/gpu:copy_fusion_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:cublas_pad_for_gemms_test PASSED in 1.6s //tensorflow/compiler/xla/service/gpu:cudnn_pad_for_convolutions_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu:cudnn_simplify_padding_test PASSED in 1.4s //tensorflow/compiler/xla/service/gpu:cudnn_support_utils_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu:cudnn_vectorize_convolutions_test PASSED in 0.6s //tensorflow/compiler/xla/service/gpu:fusion_wrapper_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:gemm_rewriter_triton_test PASSED in 2.6s //tensorflow/compiler/xla/service/gpu:gpu_async_collective_annotator_test PASSED in 3.3s //tensorflow/compiler/xla/service/gpu:gpu_conv_padding_legalization_test PASSED in 0.8s //tensorflow/compiler/xla/service/gpu:gpu_conv_rewriter_test PASSED in 0.7s //tensorflow/compiler/xla/service/gpu:gpu_convert_async_collectives_to_sync_test PASSED in 1.5s //tensorflow/compiler/xla/service/gpu:gpu_cost_model_stats_collection_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:gpu_fusible_test PASSED in 1.7s //tensorflow/compiler/xla/service/gpu:gpu_hlo_cost_analysis_test PASSED in 0.7s //tensorflow/compiler/xla/service/gpu:gpu_performance_model_test PASSED in 1.1s //tensorflow/compiler/xla/service/gpu:gpu_sanitize_constant_names_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu:hlo_algorithm_denylist_test PASSED in 0.1s //tensorflow/compiler/xla/service/gpu:hlo_fusion_stats_test PASSED in 0.7s //tensorflow/compiler/xla/service/gpu:hlo_traversal_test PASSED in 0.6s //tensorflow/compiler/xla/service/gpu:instruction_fusion_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:ir_emission_utils_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu:matmul_utils_test PASSED in 0.9s //tensorflow/compiler/xla/service/gpu:move_copy_to_users_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu:multi_output_fusion_test PASSED in 2.4s //tensorflow/compiler/xla/service/gpu:non_atomically_upgradeable_rw_lock_test PASSED in 0.2s //tensorflow/compiler/xla/service/gpu:priority_fusion_test PASSED in 2.2s //tensorflow/compiler/xla/service/gpu:reduction_splitter_test PASSED in 1.4s //tensorflow/compiler/xla/service/gpu:scatter_slice_simplifier_test PASSED in 0.8s //tensorflow/compiler/xla/service/gpu:softmax_rewriter_triton_test PASSED in 4.4s //tensorflow/compiler/xla/service/gpu:target_util_test PASSED in 0.4s //tensorflow/compiler/xla/service/gpu:topk_splitter_test PASSED in 30.7s //tensorflow/compiler/xla/service/gpu:variadic_op_splitter_test PASSED in 1.9s //tensorflow/compiler/xla/service/gpu:while_transformer_test PASSED in 1.3s //tensorflow/compiler/xla/service/gpu/llvm_gpu_backend:utils_test PASSED in 0.3s //tensorflow/compiler/xla/service/gpu/tests:gpu_reduce_scatter_creator_test PASSED in 0.8s //tensorflow/compiler/xla/service/gpu/tests:reduction_degenerate_dim_remover_test PASSED in 1.2s //tensorflow/compiler/xla/service/gpu/tests:reduction_dimension_grouper_test PASSED in 1.2s //tensorflow/compiler/xla/service/gpu/tests:tree_reduction_rewriter_test PASSED in 1.2s //tensorflow/compiler/xla/service/graphcycles:graphcycles_test PASSED in 0.9s //tensorflow/compiler/xla/service/graphcycles:ordered_set_test PASSED in 0.2s //tensorflow/compiler/xla/service/llvm_ir:alias_analysis_test PASSED in 5.9s //tensorflow/compiler/xla/service/llvm_ir:ir_array_test PASSED in 0.5s //tensorflow/compiler/xla/service/spmd:canonicalize_all_gather_for_cse_test PASSED in 0.6s //tensorflow/compiler/xla/service/spmd:collective_permute_motion_test PASSED in 0.7s //tensorflow/compiler/xla/service/spmd:partition_assignment_test PASSED in 0.6s //tensorflow/compiler/xla/service/spmd:schedule_aware_collective_ops_cse_test PASSED in 1.4s //tensorflow/compiler/xla/service/spmd:spmd_partitioner_test PASSED in 11.2s //tensorflow/compiler/xla/service/spmd:spmd_prepare_test PASSED in 0.7s //tensorflow/compiler/xla/service/spmd:stateful_rng_spmd_partitioner_test PASSED in 0.8s //tensorflow/compiler/xla/service/spmd:whole_graph_manual_pass_test PASSED in 0.6s //tensorflow/compiler/xla/stream_executor:dnn_test PASSED in 0.4s //tensorflow/compiler/xla/stream_executor:stream_test PASSED in 0.1s //tensorflow/compiler/xla/stream_executor/host:host_stream_test PASSED in 0.2s //tensorflow/compiler/xla/stream_executor/tpu:c_api_conversions_test PASSED in 0.3s //tensorflow/compiler/xla/tests:all_reduce_test_cpu PASSED in 8.2s //tensorflow/compiler/xla/tests:axpy_simple_test_cpu PASSED in 7.3s //tensorflow/compiler/xla/tests:bad_rng_shape_validation_test_cpu PASSED in 6.4s //tensorflow/compiler/xla/tests:binop_scaling_test_cpu PASSED in 6.3s //tensorflow/compiler/xla/tests:bitcast_convert_test_cpu PASSED in 11.9s //tensorflow/compiler/xla/tests:broadcast_simple_test_cpu PASSED in 7.0s //tensorflow/compiler/xla/tests:broadcast_test_cpu PASSED in 9.1s //tensorflow/compiler/xla/tests:buffer_donation_test_cpu PASSED in 7.2s //tensorflow/compiler/xla/tests:call_test_cpu PASSED in 6.0s //tensorflow/compiler/xla/tests:check_execution_arity_test_cpu PASSED in 7.6s //tensorflow/compiler/xla/tests:cholesky_test_cpu PASSED in 15.5s //tensorflow/compiler/xla/tests:client_test_cpu PASSED in 6.9s //tensorflow/compiler/xla/tests:collective_ops_test_cpu PASSED in 22.9s //tensorflow/compiler/xla/tests:collective_pipeliner_execution_test_cpu PASSED in 16.7s //tensorflow/compiler/xla/tests:compilation_cache_test_cpu PASSED in 5.5s //tensorflow/compiler/xla/tests:compute_constant_test_cpu PASSED in 6.6s //tensorflow/compiler/xla/tests:concat_test_cpu PASSED in 10.1s //tensorflow/compiler/xla/tests:constant_reduction_function_test_cpu PASSED in 6.7s //tensorflow/compiler/xla/tests:constants_test_cpu PASSED in 7.7s //tensorflow/compiler/xla/tests:convert_test_cpu PASSED in 12.9s //tensorflow/compiler/xla/tests:copy_test_cpu PASSED in 7.6s //tensorflow/compiler/xla/tests:cpu_gpu_fusion_test_cpu PASSED in 18.0s //tensorflow/compiler/xla/tests:custom_call_test_cpu PASSED in 14.4s //tensorflow/compiler/xla/tests:deallocation_test_cpu PASSED in 9.1s //tensorflow/compiler/xla/tests:deconstruct_tuple_test_cpu PASSED in 7.8s //tensorflow/compiler/xla/tests:deep_graph_test_cpu PASSED in 6.0s //tensorflow/compiler/xla/tests:fft_test_cpu PASSED in 6.6s //tensorflow/compiler/xla/tests:float8_test_cpu PASSED in 7.2s //tensorflow/compiler/xla/tests:floor_ceil_test_cpu PASSED in 7.0s //tensorflow/compiler/xla/tests:fmax_fmin_test_cpu PASSED in 8.2s //tensorflow/compiler/xla/tests:gather_operation_test_cpu PASSED in 9.6s //tensorflow/compiler/xla/tests:get_dimension_size_test_cpu PASSED in 6.0s //tensorflow/compiler/xla/tests:half_test_cpu PASSED in 10.7s //tensorflow/compiler/xla/tests:hlo_metadata_test PASSED in 6.9s //tensorflow/compiler/xla/tests:literal_test_util_test PASSED in 5.9s //tensorflow/compiler/xla/tests:local_client_allocation_test_cpu PASSED in 6.9s //tensorflow/compiler/xla/tests:local_client_aot_test PASSED in 0.0s //tensorflow/compiler/xla/tests:log_test_cpu PASSED in 9.2s //tensorflow/compiler/xla/tests:map_test_cpu PASSED in 8.5s //tensorflow/compiler/xla/tests:matrix_ops_simple_test_cpu PASSED in 15.3s //tensorflow/compiler/xla/tests:multidimensional_slice_test_cpu PASSED in 7.4s //tensorflow/compiler/xla/tests:multiple_devices_on_host_test PASSED in 6.7s //tensorflow/compiler/xla/tests:multithreaded_compilation_test_cpu PASSED in 8.0s //tensorflow/compiler/xla/tests:onednn_matmul_test_cpu PASSED in 7.8s //tensorflow/compiler/xla/tests:outfeed_in_nested_computation_test_cpu PASSED in 6.2s //tensorflow/compiler/xla/tests:pad_test_cpu PASSED in 6.3s //tensorflow/compiler/xla/tests:pred_test_cpu PASSED in 7.1s //tensorflow/compiler/xla/tests:query_inferred_shape_test_cpu PASSED in 6.0s //tensorflow/compiler/xla/tests:reduce_hlo_test_cpu PASSED in 10.8s //tensorflow/compiler/xla/tests:reduce_precision_test_cpu PASSED in 8.5s //tensorflow/compiler/xla/tests:replay_test_cpu PASSED in 8.1s //tensorflow/compiler/xla/tests:reshape_motion_test_cpu PASSED in 6.5s //tensorflow/compiler/xla/tests:reverse_test_cpu PASSED in 6.1s //tensorflow/compiler/xla/tests:round_trip_packed_literal_test_cpu PASSED in 5.8s //tensorflow/compiler/xla/tests:round_trip_transfer_test_cpu PASSED in 6.4s //tensorflow/compiler/xla/tests:sample_text_test_cpu PASSED in 7.4s //tensorflow/compiler/xla/tests:scatter_test_cpu PASSED in 9.5s //tensorflow/compiler/xla/tests:select_test_cpu PASSED in 6.8s //tensorflow/compiler/xla/tests:test_utils_test_cpu PASSED in 40.8s //tensorflow/compiler/xla/tests:tile_assignment_test PASSED in 0.1s //tensorflow/compiler/xla/tests:token_hlo_test_cpu PASSED in 7.9s //tensorflow/compiler/xla/tests:topk_test_cpu PASSED in 6.7s //tensorflow/compiler/xla/tests:transfer_manager_test_cpu PASSED in 12.3s //tensorflow/compiler/xla/tests:transpose_test_cpu PASSED in 7.7s //tensorflow/compiler/xla/tests:tuple_test_cpu PASSED in 7.7s //tensorflow/compiler/xla/tests:unary_op_test_cpu PASSED in 8.0s //tensorflow/compiler/xla/tests:value_inference_test_cpu PASSED in 5.8s //tensorflow/compiler/xla/tests:vector_ops_reduce_test_cpu PASSED in 7.0s //tensorflow/compiler/xla/tests:vector_ops_simple_test_cpu PASSED in 7.4s //tensorflow/compiler/xla/tests:while_test_cpu PASSED in 7.4s //tensorflow/compiler/xla/tests/fuzz:rand_000000_cpu PASSED in 6.5s //tensorflow/compiler/xla/tests/fuzz:rand_000003_cpu PASSED in 7.7s //tensorflow/compiler/xla/tests/fuzz:rand_000005_cpu PASSED in 6.3s //tensorflow/compiler/xla/tests/fuzz:rand_000006_cpu PASSED in 8.9s //tensorflow/compiler/xla/tests/fuzz:rand_000007_cpu PASSED in 5.5s //tensorflow/compiler/xla/tests/fuzz:rand_000008_cpu PASSED in 7.2s //tensorflow/compiler/xla/tests/fuzz:rand_000009_cpu PASSED in 6.9s //tensorflow/compiler/xla/tests/fuzz:rand_000013_cpu PASSED in 7.9s //tensorflow/compiler/xla/tests/fuzz:rand_000015_cpu PASSED in 7.3s //tensorflow/compiler/xla/tests/fuzz:rand_000016_cpu PASSED in 8.4s //tensorflow/compiler/xla/tests/fuzz:rand_000017_cpu PASSED in 6.6s //tensorflow/compiler/xla/tests/fuzz:rand_000018_cpu PASSED in 7.0s //tensorflow/compiler/xla/tests/fuzz:rand_000019_cpu PASSED in 6.3s //tensorflow/compiler/xla/tests/fuzz:rand_000020_cpu PASSED in 13.4s //tensorflow/compiler/xla/tests/fuzz:rand_000022_cpu PASSED in 6.6s //tensorflow/compiler/xla/tests/fuzz:rand_000024_cpu PASSED in 6.4s //tensorflow/compiler/xla/tests/fuzz:rand_000025_cpu PASSED in 6.4s //tensorflow/compiler/xla/tests/fuzz:rand_000026_cpu PASSED in 6.5s //tensorflow/compiler/xla/tests/fuzz:rand_000030_cpu PASSED in 7.9s //tensorflow/compiler/xla/tests/fuzz:rand_000031_cpu PASSED in 10.9s //tensorflow/compiler/xla/tests/fuzz:rand_000032_cpu PASSED in 6.3s //tensorflow/compiler/xla/tests/fuzz:rand_000033_cpu PASSED in 6.3s //tensorflow/compiler/xla/tests/fuzz:rand_000034_cpu PASSED in 7.1s //tensorflow/compiler/xla/tests/fuzz:rand_000035_cpu PASSED in 7.9s //tensorflow/compiler/xla/tests/fuzz:rand_000036_cpu PASSED in 7.0s //tensorflow/compiler/xla/tests/fuzz:rand_000039_cpu PASSED in 6.3s //tensorflow/compiler/xla/tests/fuzz:rand_000040_cpu PASSED in 6.5s //tensorflow/compiler/xla/tests/fuzz:rand_000041_cpu PASSED in 6.7s //tensorflow/compiler/xla/tests/fuzz:rand_000043_cpu PASSED in 6.1s //tensorflow/compiler/xla/tests/fuzz:rand_000049_cpu PASSED in 6.1s //tensorflow/compiler/xla/tests/fuzz:rand_000053_cpu PASSED in 6.2s //tensorflow/compiler/xla/tests/fuzz:rand_000056_cpu PASSED in 7.8s //tensorflow/compiler/xla/tests/fuzz:rand_000059_cpu PASSED in 6.1s //tensorflow/compiler/xla/tests/fuzz:rand_000061_cpu PASSED in 6.5s //tensorflow/compiler/xla/tests/fuzz:rand_000062_cpu PASSED in 19.7s //tensorflow/compiler/xla/tests/fuzz:rand_000064_cpu PASSED in 6.4s //tensorflow/compiler/xla/tests/fuzz:rand_000066_cpu PASSED in 6.2s //tensorflow/compiler/xla/tests/fuzz:rand_000069_cpu PASSED in 6.8s //tensorflow/compiler/xla/tests/fuzz:rand_000071_cpu PASSED in 6.6s //tensorflow/compiler/xla/tests/fuzz:rand_000077_cpu PASSED in 6.0s //tensorflow/compiler/xla/tests/fuzz:rand_000078_cpu PASSED in 6.9s //tensorflow/compiler/xla/tests/fuzz:rand_000079_cpu PASSED in 10.5s //tensorflow/compiler/xla/tests/fuzz:rand_000081_cpu PASSED in 6.6s //tensorflow/compiler/xla/tests/fuzz:rand_000084_cpu PASSED in 6.4s //tensorflow/compiler/xla/tests/fuzz:rand_000085_cpu PASSED in 7.0s //tensorflow/compiler/xla/tests/fuzz:rand_000086_cpu PASSED in 6.4s //tensorflow/compiler/xla/tests/fuzz:rand_000088_cpu PASSED in 6.2s //tensorflow/compiler/xla/tests/fuzz:rand_000089_cpu PASSED in 7.5s //tensorflow/compiler/xla/tests/fuzz:rand_000090_cpu PASSED in 6.1s //tensorflow/compiler/xla/tests/fuzz:rand_000092_cpu PASSED in 7.0s //tensorflow/compiler/xla/tests/fuzz:rand_000094_cpu PASSED in 6.6s //tensorflow/compiler/xla/tests/fuzz:rand_000095_cpu PASSED in 6.9s //tensorflow/compiler/xla/tools:hlo_control_flow_flattening_test PASSED in 1.0s //tensorflow/compiler/xla/tools:hlo_extractor_test PASSED in 0.9s //tensorflow/compiler/xla/tools:hlo_module_loader_test PASSED in 0.8s //tensorflow/compiler/xla/tools:hlo_slicer_test PASSED in 0.7s //tensorflow/compiler/xla/tools:interactive_graphviz_bin_test PASSED in 0.3s //tensorflow/compiler/xla/tools:run_hlo_module_bin_test PASSED in 0.8s //tensorflow/compiler/xla/tools/hlo_bisect:hlo_bisect_state_test PASSED in 0.8s //tensorflow/compiler/xla/translate/hlo_to_mhlo:hlo_utils_test PASSED in 1.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:bool_compare.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:case_conditional.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:dynamic_param.hlo.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:entry_computation_layout.hlotxt.test PASSED in 0.4s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:frontend_attributes.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fully_connected_reference_model.hlotxt.test PASSED in 0.7s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:fusion.hlotxt.test PASSED in 0.4s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:if_conditional.hlotxt.test PASSED in 0.5s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:import.hlotxt.test PASSED in 1.1s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:import_async.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:layouts_and_names.hlotxt.test PASSED in 1.0s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:location.hlotxt.test PASSED in 0.4s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:module_attributes.hlo.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:send_recv.hlotxt.test PASSED in 0.6s //tensorflow/compiler/xla/translate/hlo_to_mhlo/tests:simple.hlo.test PASSED in 1.6s 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in 21.1s //tensorflow/core/common_runtime/eager:kernel_and_device_test PASSED in 1.1s //tensorflow/core/common_runtime/eager:mkl_eager_op_rewrite_test PASSED in 11.1s //tensorflow/core/common_runtime/eager:placement_test PASSED in 9.6s //tensorflow/core/common_runtime/eager:placement_utils_test PASSED in 9.6s //tensorflow/core/common_runtime/eager:summary_optimizer_test PASSED in 0.1s //tensorflow/core/common_runtime/eager:tensor_handle_data_test PASSED in 8.3s //tensorflow/core/common_runtime/eager:tensor_handle_test PASSED in 7.7s //tensorflow/core/common_runtime/gpu:gpu_device_on_non_gpu_machine_test PASSED in 0.2s //tensorflow/core/common_runtime/gpu:gpu_serving_device_selector_test PASSED in 0.1s //tensorflow/core/common_runtime/next_pluggable_device/c:plugin_c_api_test PASSED in 21.9s //tensorflow/core/common_runtime/next_pluggable_device/c:tf_rendezvous_c_api_test PASSED in 0.3s //tensorflow/core/config:flags_py_test PASSED in 8.8s //tensorflow/core/config:flags_test PASSED in 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//tensorflow/core/kernels:quantized_bias_add_op_test PASSED in 0.6s //tensorflow/core/kernels:quantized_concat_op_test PASSED in 0.7s //tensorflow/core/kernels:quantized_conv_ops_test PASSED in 0.9s //tensorflow/core/kernels:quantized_instance_norm_test PASSED in 0.8s //tensorflow/core/kernels:quantized_matmul_op_test PASSED in 0.6s //tensorflow/core/kernels:quantized_mul_op_test PASSED in 1.6s //tensorflow/core/kernels:quantized_pooling_ops_test PASSED in 0.9s //tensorflow/core/kernels:quantized_reshape_op_test PASSED in 0.4s //tensorflow/core/kernels:quantized_resize_bilinear_op_test PASSED in 2.4s //tensorflow/core/kernels:ragged_fill_empty_rows_op_test PASSED in 0.4s //tensorflow/core/kernels:ragged_gather_op_test PASSED in 0.5s //tensorflow/core/kernels:ragged_range_op_test PASSED in 0.4s //tensorflow/core/kernels:ragged_tensor_from_variant_op_test PASSED in 0.5s //tensorflow/core/kernels:ragged_tensor_to_sparse_kernel_test PASSED in 0.7s //tensorflow/core/kernels:ragged_tensor_to_tensor_op_test PASSED in 0.7s //tensorflow/core/kernels:ragged_tensor_to_variant_op_test PASSED in 0.5s //tensorflow/core/kernels:random_binomial_op_test_cpu PASSED in 0.6s //tensorflow/core/kernels:random_index_shuffle_test PASSED in 0.6s //tensorflow/core/kernels:random_op_test_cpu PASSED in 0.5s //tensorflow/core/kernels:random_poisson_op_test_cpu PASSED in 0.5s //tensorflow/core/kernels:range_sampler_test PASSED in 0.1s //tensorflow/core/kernels:reduction_ops_test_cpu PASSED in 0.4s //tensorflow/core/kernels:regex_replace_op_test PASSED in 0.4s //tensorflow/core/kernels:requantization_range_op_test PASSED in 1.0s //tensorflow/core/kernels:requantize_op_test PASSED in 0.5s //tensorflow/core/kernels:resource_ops_test PASSED in 0.5s //tensorflow/core/kernels:restore_op_test PASSED in 1.3s //tensorflow/core/kernels:restore_v2_op_test PASSED in 0.7s //tensorflow/core/kernels:reverse_op_test PASSED in 0.6s //tensorflow/core/kernels:roll_op_test PASSED in 0.6s //tensorflow/core/kernels:save_op_test PASSED in 0.4s //tensorflow/core/kernels:save_v2_op_test PASSED in 1.4s //tensorflow/core/kernels:scan_ops_test_cpu PASSED in 0.4s //tensorflow/core/kernels:scatter_nd_op_test_cpu PASSED in 0.5s //tensorflow/core/kernels:scatter_op_test PASSED in 0.4s //tensorflow/core/kernels:scoped_allocator_ops_test_cpu PASSED in 7.8s //tensorflow/core/kernels:sdca_ops_test PASSED in 1.4s //tensorflow/core/kernels:segment_reduction_ops_test PASSED in 1.2s //tensorflow/core/kernels:sendrecv_ops_test PASSED in 0.4s //tensorflow/core/kernels:sequence_ops_test PASSED in 0.5s //tensorflow/core/kernels:shape_ops_test PASSED in 0.8s //tensorflow/core/kernels:slice_op_test PASSED in 0.5s //tensorflow/core/kernels:spacetobatch_benchmark_test_cpu PASSED in 0.8s //tensorflow/core/kernels:sparse_add_op_test PASSED in 0.6s //tensorflow/core/kernels:sparse_dense_binary_op_shared_test PASSED in 1.1s //tensorflow/core/kernels:sparse_fill_empty_rows_op_test_cpu PASSED in 0.8s //tensorflow/core/kernels:sparse_matmul_op_test_cpu PASSED in 0.5s //tensorflow/core/kernels:sparse_reduce_sum_op_test PASSED in 0.6s //tensorflow/core/kernels:sparse_tensor_dense_matmul_op_test_cpu PASSED in 0.4s //tensorflow/core/kernels:sparse_to_dense_op_test_cpu PASSED in 0.8s //tensorflow/core/kernels:sparse_utils_test PASSED in 0.4s //tensorflow/core/kernels:sparse_xent_op_test_cpu PASSED in 0.5s //tensorflow/core/kernels:spectrogram_op_test_cpu PASSED in 2.6s //tensorflow/core/kernels:spectrogram_test PASSED in 0.3s //tensorflow/core/kernels:split_op_test_cpu PASSED in 0.4s //tensorflow/core/kernels:split_v_op_test_cpu PASSED in 1.0s //tensorflow/core/kernels:strided_slice_op_test PASSED in 0.6s //tensorflow/core/kernels:string_format_op_test PASSED in 0.8s //tensorflow/core/kernels:string_ngrams_op_test PASSED in 0.5s //tensorflow/core/kernels:string_split_op_test PASSED in 0.4s //tensorflow/core/kernels:substr_op_test PASSED in 0.5s //tensorflow/core/kernels:summary_audio_op_test PASSED in 0.6s //tensorflow/core/kernels:summary_image_op_test PASSED in 0.6s //tensorflow/core/kernels:summary_op_test PASSED in 0.9s //tensorflow/core/kernels:summary_tensor_op_test PASSED in 0.8s //tensorflow/core/kernels:tensor_cord_test PASSED in 0.1s //tensorflow/core/kernels:tensor_flag_utils_test PASSED in 0.2s //tensorflow/core/kernels:tensor_map_test PASSED in 0.1s //tensorflow/core/kernels:training_ops_test PASSED in 0.4s //tensorflow/core/kernels:transpose_util_test PASSED in 0.4s //tensorflow/core/kernels:unary_ops_composition_test_cpu PASSED in 1.9s //tensorflow/core/kernels:unique_op_test PASSED in 0.4s //tensorflow/core/kernels:variable_ops_test PASSED in 1.8s //tensorflow/core/kernels:while_op_test PASSED in 0.8s //tensorflow/core/kernels:xent_op_test_cpu PASSED in 0.8s //tensorflow/core/kernels/batching_util:basic_batch_scheduler_test PASSED in 0.5s //tensorflow/core/kernels/batching_util:batch_input_task_test PASSED in 0.5s //tensorflow/core/kernels/batching_util:batch_resource_base_test PASSED in 0.1s //tensorflow/core/kernels/batching_util:batch_scheduler_test PASSED in 0.4s //tensorflow/core/kernels/batching_util:bounded_executor_test PASSED in 20.2s //tensorflow/core/kernels/batching_util:input_split_metadata_test PASSED in 0.2s //tensorflow/core/kernels/batching_util:periodic_function_test PASSED in 3.3s //tensorflow/core/kernels/batching_util:serial_device_batch_scheduler_test PASSED in 2.3s //tensorflow/core/kernels/batching_util:shared_batch_scheduler_test PASSED in 5.8s //tensorflow/core/kernels/batching_util:threadsafe_status_test PASSED in 0.4s //tensorflow/core/kernels/data:batch_dataset_op_test PASSED in 3.0s //tensorflow/core/kernels/data:cache_dataset_ops_test PASSED in 0.7s //tensorflow/core/kernels/data:concatenate_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:filter_dataset_op_test PASSED in 1.4s //tensorflow/core/kernels/data:finalize_dataset_op_test PASSED in 0.9s //tensorflow/core/kernels/data:fixed_length_record_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data:flat_map_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data:get_options_op_test PASSED in 0.5s //tensorflow/core/kernels/data:interleave_dataset_op_test PASSED in 2.9s //tensorflow/core/kernels/data:iterator_ops_test PASSED in 0.6s //tensorflow/core/kernels/data:map_dataset_op_test PASSED in 1.1s //tensorflow/core/kernels/data:map_defun_op_test PASSED in 0.5s //tensorflow/core/kernels/data:optimize_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:options_dataset_op_test PASSED in 1.0s //tensorflow/core/kernels/data:padded_batch_dataset_op_test PASSED in 1.3s //tensorflow/core/kernels/data:parallel_batch_dataset_op_test PASSED in 1.3s //tensorflow/core/kernels/data:parallel_filter_dataset_op_test PASSED in 1.2s //tensorflow/core/kernels/data:parallel_interleave_dataset_op_test PASSED in 1.5s //tensorflow/core/kernels/data:parallel_map_dataset_op_test PASSED in 0.9s //tensorflow/core/kernels/data:prefetch_autotuner_test PASSED in 0.5s //tensorflow/core/kernels/data:prefetch_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:range_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:reduce_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:repeat_dataset_op_test PASSED in 0.8s //tensorflow/core/kernels/data:rewrite_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data:shard_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data:shuffle_dataset_op_test PASSED in 1.0s //tensorflow/core/kernels/data:skip_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data:sparse_tensor_slice_dataset_op_test PASSED in 0.8s //tensorflow/core/kernels/data:take_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data:tensor_dataset_op_test PASSED in 0.5s //tensorflow/core/kernels/data:tensor_slice_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data:text_line_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:tf_record_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data:window_dataset_op_test PASSED in 1.0s //tensorflow/core/kernels/data:zip_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data/experimental:assert_next_dataset_op_test PASSED in 0.9s //tensorflow/core/kernels/data/experimental:assert_prev_dataset_op_test PASSED in 0.5s //tensorflow/core/kernels/data/experimental:auto_shard_dataset_op_test PASSED in 0.5s //tensorflow/core/kernels/data/experimental:directed_interleave_dataset_op_test PASSED in 0.5s //tensorflow/core/kernels/data/experimental:list_dataset_op_test PASSED in 1.0s //tensorflow/core/kernels/data/experimental:map_and_batch_dataset_op_test PASSED in 1.4s //tensorflow/core/kernels/data/experimental:parallel_interleave_dataset_op_test PASSED in 0.9s //tensorflow/core/kernels/data/experimental:random_dataset_op_test PASSED in 0.4s //tensorflow/core/kernels/data/experimental:sampling_dataset_op_test PASSED in 0.6s //tensorflow/core/kernels/data/experimental:save_dataset_op_test PASSED in 0.7s //tensorflow/core/kernels/data/experimental:unique_dataset_op_test PASSED in 0.4s //tensorflow/core/kernels/image:adjust_contrast_op_benchmark_test_cpu PASSED in 0.5s //tensorflow/core/kernels/image:adjust_contrast_op_test PASSED in 0.5s //tensorflow/core/kernels/image:colorspace_op_test PASSED in 0.5s //tensorflow/core/kernels/image:crop_and_resize_op_benchmark_test_cpu PASSED in 0.5s //tensorflow/core/kernels/image:crop_and_resize_op_test PASSED in 0.5s //tensorflow/core/kernels/image:encode_jpeg_op_test PASSED in 0.9s //tensorflow/core/kernels/image:mirror_pad_op_benchmark_test_cpu PASSED in 0.4s //tensorflow/core/kernels/image:mirror_pad_op_test PASSED in 0.7s //tensorflow/core/kernels/image:non_max_suppression_op_benchmark_test PASSED in 0.4s //tensorflow/core/kernels/image:non_max_suppression_op_test PASSED in 0.5s //tensorflow/core/kernels/image:resize_area_op_test PASSED in 2.2s //tensorflow/core/kernels/image:resize_benchmark_test_cpu PASSED in 0.4s //tensorflow/core/kernels/image:resize_ops_test_cpu PASSED in 2.0s //tensorflow/core/kernels/image:sampling_kernels_test PASSED in 0.4s //tensorflow/core/kernels/image:scale_and_translate_op_test PASSED in 2.0s //tensorflow/core/kernels/linalg:banded_triangular_solve_op_test_cpu PASSED in 1.0s //tensorflow/core/kernels/linalg:matrix_triangular_solve_op_test_cpu PASSED in 0.6s //tensorflow/core/kernels/mkl:mkl_conv_ops_test PASSED in 0.5s //tensorflow/core/kernels/mkl:mkl_dequantize_op_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_fused_batch_norm_op_test PASSED in 0.3s //tensorflow/core/kernels/mkl:mkl_fused_ops_test PASSED in 1.4s //tensorflow/core/kernels/mkl:mkl_matmul_op_benchmark PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_qmatmul_op_test PASSED in 0.2s //tensorflow/core/kernels/mkl:mkl_quantize_op_test PASSED in 0.7s //tensorflow/core/kernels/mkl:mkl_quantized_concat_op_test PASSED in 0.2s //tensorflow/core/kernels/mkl:mkl_quantized_conv_ops_perchannel_test PASSED in 0.3s //tensorflow/core/kernels/mkl:mkl_quantized_conv_ops_test PASSED in 0.2s //tensorflow/core/kernels/mkl:mkl_quantized_pooling_ops_test PASSED in 0.1s //tensorflow/core/kernels/mkl:mkl_relu_op_test PASSED in 0.3s //tensorflow/core/kernels/mkl:mkl_requantize_ops_test PASSED in 0.2s //tensorflow/core/kernels/mkl:mkl_swish_op_test PASSED in 0.4s //tensorflow/core/kernels/mkl:onednn_nn_ops_benchmark PASSED in 0.1s //tensorflow/core/kernels/sparse:kernels_test PASSED in 0.5s //tensorflow/core/kernels/uniform_quant_ops:math_utils_test PASSED in 0.1s //tensorflow/core/kernels/uniform_quant_ops:tensor_utils_test PASSED in 0.3s //tensorflow/core/kernels/uniform_quant_ops:uniform_dequantize_op_test PASSED in 1.1s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantize_op_test PASSED in 0.5s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_add_op_test PASSED in 0.8s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_clip_by_value_op_test PASSED in 0.5s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_convolution_ops_test PASSED in 0.5s //tensorflow/core/kernels/uniform_quant_ops:uniform_quantized_dot_ops_test PASSED in 0.8s //tensorflow/core/kernels/uniform_quant_ops:uniform_requantize_op_test PASSED in 1.4s //tensorflow/core/lib/db:sqlite_test PASSED in 0.7s //tensorflow/core/lib/gif:lib_gif_io_test PASSED in 3.7s //tensorflow/core/lib/jpeg:lib_jpeg_jpeg_mem_unittest PASSED in 0.7s //tensorflow/core/ops:cudnn_rnn_ops_test_cc PASSED in 0.4s //tensorflow/core/ops:ops_array_grad_test PASSED in 1.1s //tensorflow/core/ops:ops_math_grad_test PASSED in 7.5s //tensorflow/core/ops:ops_tests PASSED in 1.2s //tensorflow/core/ops/compat:backwards_compatibility_test PASSED in 0.4s //tensorflow/core/platform:__tensorflow_tsl_platform_profile_utils_cpu_utils_test PASSED in 0.1s //tensorflow/core/platform:enable_tf2_utils_test PASSED in 0.3s //tensorflow/core/platform:env_test PASSED in 2.2s //tensorflow/core/platform:fake_python_env_test PASSED in 0.1s //tensorflow/core/platform:file_system_test PASSED in 0.6s //tensorflow/core/platform:platform_strings_test PASSED in 0.1s //tensorflow/core/platform:ram_file_system_test PASSED in 33.6s //tensorflow/core/platform:resource_loader_test PASSED in 0.1s //tensorflow/core/platform:vmodule_benchmark_test PASSED in 0.1s //tensorflow/core/platform:vmodule_test PASSED in 0.4s //tensorflow/core/profiler/backends/cpu:host_tracer_test PASSED in 0.7s //tensorflow/core/profiler/convert:dcn_analysis_test PASSED in 0.3s //tensorflow/core/profiler/convert:dcn_utils_test PASSED in 0.1s //tensorflow/core/profiler/convert:hlo_proto_to_graph_view_test PASSED in 0.1s //tensorflow/core/profiler/convert:hlo_proto_to_memory_visualization_utils_test PASSED in 0.3s //tensorflow/core/profiler/convert:op_stats_to_pod_stats_test PASSED in 0.2s //tensorflow/core/profiler/convert:op_stats_to_pod_viewer_test PASSED in 1.0s //tensorflow/core/profiler/convert:op_stats_to_tf_stats_test PASSED in 0.1s //tensorflow/core/profiler/convert:repository_test PASSED in 0.1s //tensorflow/core/profiler/convert:xplane_to_dcn_collective_stats_test PASSED in 0.2s //tensorflow/core/profiler/convert:xplane_to_kernel_stats_db_test PASSED in 0.3s //tensorflow/core/profiler/convert:xplane_to_memory_profile_test PASSED in 0.1s //tensorflow/core/profiler/convert:xplane_to_op_metrics_db_test PASSED in 0.1s //tensorflow/core/profiler/convert:xplane_to_op_stats_test PASSED in 0.6s //tensorflow/core/profiler/convert:xplane_to_step_events_test PASSED in 0.4s //tensorflow/core/profiler/convert:xplane_to_tf_functions_test PASSED in 0.1s //tensorflow/core/profiler/convert:xplane_to_tool_names_test PASSED in 0.3s //tensorflow/core/profiler/convert/trace_viewer:trace_viewer_visibility_test PASSED in 0.2s //tensorflow/core/profiler/internal:tfprof_show_test PASSED in 0.8s //tensorflow/core/profiler/internal:tfprof_stats_test PASSED in 0.6s //tensorflow/core/profiler/internal:tfprof_tensor_test PASSED in 0.6s //tensorflow/core/profiler/internal:tfprof_timeline_test PASSED in 0.7s //tensorflow/core/profiler/internal/advisor:tfprof_advisor_test PASSED in 0.5s //tensorflow/core/profiler/lib:profiler_disabled_test PASSED in 0.1s //tensorflow/core/profiler/utils:derived_timeline_test PASSED in 0.1s //tensorflow/core/profiler/utils:kernel_stats_utils_test PASSED in 0.4s //tensorflow/core/profiler/utils:op_metrics_db_utils_test PASSED in 0.3s //tensorflow/core/profiler/utils:step_intersection_test PASSED in 0.6s //tensorflow/core/runtime_fallback/util:type_util_test PASSED in 0.1s //tensorflow/core/summary:schema_test PASSED in 0.1s //tensorflow/core/summary:summary_db_writer_test PASSED in 0.6s //tensorflow/core/summary:summary_file_writer_test PASSED in 0.3s //tensorflow/core/tfrt/common:pjrt_cpu_client_registration_test PASSED in 8.2s //tensorflow/core/tfrt/common:pjrt_state_test PASSED in 7.5s //tensorflow/core/tfrt/common:pjrt_util_test PASSED in 5.5s //tensorflow/core/tfrt/fallback:cost_recorder_test PASSED in 0.6s //tensorflow/core/tfrt/fallback:fallback_state_test PASSED in 0.7s //tensorflow/core/tfrt/graph_executor:config_test PASSED in 0.1s //tensorflow/core/tfrt/mlrt/attribute:attribute_test PASSED in 0.3s //tensorflow/core/tfrt/mlrt/bytecode:bytecode_test PASSED in 0.1s //tensorflow/core/tfrt/mlrt/bytecode:executable_test PASSED in 0.2s //tensorflow/core/tfrt/mlrt/bytecode:function_test PASSED in 0.1s //tensorflow/core/tfrt/mlrt/bytecode:kernel_test PASSED in 0.2s //tensorflow/core/tfrt/mlrt/bytecode:span_test PASSED in 0.1s //tensorflow/core/tfrt/mlrt/interpreter:context_test PASSED in 0.5s //tensorflow/core/tfrt/mlrt/interpreter:future_test PASSED in 0.2s //tensorflow/core/tfrt/mlrt/interpreter:interpreter_test PASSED in 0.6s //tensorflow/core/tfrt/mlrt/interpreter:register_span_test PASSED in 0.1s 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25.7s //tensorflow/tsl/platform:mutex_test PASSED in 0.5s //tensorflow/tsl/platform:net_test PASSED in 0.2s //tensorflow/tsl/platform:numbers_test PASSED in 0.1s //tensorflow/tsl/platform:path_test PASSED in 0.1s //tensorflow/tsl/platform:port_test PASSED in 8.6s //tensorflow/tsl/platform:random_test PASSED in 2.5s //tensorflow/tsl/platform:refcount_test PASSED in 0.2s //tensorflow/tsl/platform:retrying_file_system_test PASSED in 0.2s //tensorflow/tsl/platform:retrying_utils_test PASSED in 0.1s //tensorflow/tsl/platform:scanner_test PASSED in 0.1s //tensorflow/tsl/platform:setround_test PASSED in 0.1s //tensorflow/tsl/platform:stacktrace_handler_test PASSED in 1.8s //tensorflow/tsl/platform:stacktrace_test PASSED in 0.1s //tensorflow/tsl/platform:status_matchers_test PASSED in 0.5s //tensorflow/tsl/platform:status_test PASSED in 0.4s //tensorflow/tsl/platform:statusor_test PASSED in 1.7s //tensorflow/tsl/platform:str_util_test PASSED in 0.2s //tensorflow/tsl/platform:strcat_test PASSED in 0.4s //tensorflow/tsl/platform:stringpiece_test PASSED in 0.1s //tensorflow/tsl/platform:stringprintf_test PASSED in 0.1s //tensorflow/tsl/platform:subprocess_test PASSED in 0.1s //tensorflow/tsl/platform:tstring_test PASSED in 0.1s //tensorflow/tsl/platform:unbounded_work_queue_test PASSED in 0.3s //tensorflow/tsl/platform/cloud:compute_engine_metadata_client_test PASSED in 0.2s //tensorflow/tsl/platform/cloud:compute_engine_zone_provider_test PASSED in 0.1s //tensorflow/tsl/platform/cloud:curl_http_request_test PASSED in 10.2s //tensorflow/tsl/platform/cloud:expiring_lru_cache_test PASSED in 0.5s //tensorflow/tsl/platform/cloud:gcs_dns_cache_test PASSED in 0.2s //tensorflow/tsl/platform/cloud:gcs_file_system_test PASSED in 7.2s //tensorflow/tsl/platform/cloud:gcs_throttle_test PASSED in 0.2s //tensorflow/tsl/platform/cloud:google_auth_provider_test PASSED in 0.1s //tensorflow/tsl/platform/cloud:oauth_client_test PASSED in 0.1s //tensorflow/tsl/platform/cloud:ram_file_block_cache_test PASSED in 2.3s //tensorflow/tsl/platform/cloud:time_util_test PASSED in 0.2s //tensorflow/tsl/profiler/backends/cpu:traceme_recorder_test PASSED in 0.3s //tensorflow/tsl/profiler/convert:trace_container_test PASSED in 0.4s //tensorflow/tsl/profiler/convert:trace_events_to_json_test PASSED in 0.1s //tensorflow/tsl/profiler/convert:xla_op_utils_test PASSED in 0.1s //tensorflow/tsl/profiler/convert:xplane_to_trace_events_test PASSED in 0.1s //tensorflow/tsl/profiler/lib:profiler_factory_test PASSED in 0.1s //tensorflow/tsl/profiler/lib:profiler_lock_test PASSED in 0.1s //tensorflow/tsl/profiler/lib:scoped_annotation_test PASSED in 0.5s //tensorflow/tsl/profiler/lib:traceme_encode_test PASSED in 0.1s //tensorflow/tsl/profiler/rpc/client:profiler_client_test PASSED in 3.4s //tensorflow/tsl/profiler/rpc/client:remote_profiler_session_manager_test PASSED in 3.9s //tensorflow/tsl/profiler/utils:buffer_pool_test PASSED in 0.2s //tensorflow/tsl/profiler/utils:group_events_test PASSED in 0.2s //tensorflow/tsl/profiler/utils:parse_annotation_test PASSED in 0.8s //tensorflow/tsl/profiler/utils:preprocess_xplane_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:tf_op_utils_test PASSED in 0.2s //tensorflow/tsl/profiler/utils:timespan_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:tpu_xplane_utils_test PASSED in 0.1s //tensorflow/tsl/profiler/utils:xplane_builder_test PASSED in 0.2s //tensorflow/tsl/profiler/utils:xplane_utils_test PASSED in 0.3s //tensorflow/tsl/util:device_name_utils_test PASSED in 0.1s //tensorflow/tsl/util:stats_calculator_test PASSED in 0.2s //tensorflow/compiler/tests:complex_div_test_cpu PASSED in 8.8s Stats over 2 runs: max = 8.8s, min = 8.0s, avg = 8.4s, dev = 0.4s //tensorflow/compiler/tests:complex_div_test_cpu_mlir_bridge_test PASSED in 9.2s Stats over 2 runs: max = 9.2s, min = 8.7s, avg = 8.9s, dev = 0.3s //tensorflow/compiler/xla/tests:conditional_test_cpu PASSED in 7.8s Stats over 2 runs: max = 7.8s, min = 7.2s, avg = 7.5s, dev = 0.3s //tensorflow/python/data/experimental/kernel_tests/optimization:optimization_test PASSED in 25.7s Stats over 2 runs: max = 25.7s, min = 16.3s, avg = 21.0s, dev = 4.7s //tensorflow/python/data/experimental/kernel_tests/service:metadata_test PASSED in 24.6s Stats over 2 runs: max = 24.6s, min = 24.1s, avg = 24.3s, dev = 0.2s //tensorflow/python/data/kernel_tests:padded_batch_test PASSED in 26.2s Stats over 2 runs: max = 26.2s, min = 26.0s, avg = 26.1s, dev = 0.1s //tensorflow/python/data/kernel_tests:repeat_test PASSED in 65.0s Stats over 2 runs: max = 65.0s, min = 61.6s, avg = 63.3s, dev = 1.7s //tensorflow/python/data/kernel_tests:window_test PASSED in 44.9s Stats over 2 runs: max = 44.9s, min = 36.2s, avg = 40.6s, dev = 4.3s //tensorflow/python/kernel_tests/array_ops:scatter_nd_ops_test_cpu PASSED in 14.8s Stats over 2 runs: max = 14.8s, min = 14.0s, avg = 14.4s, dev = 0.4s //tensorflow/python/kernel_tests/control_flow:functional_ops_test_cpu PASSED in 15.1s Stats over 2 runs: max = 15.1s, min = 14.8s, avg = 15.0s, dev = 0.2s //tensorflow/python/kernel_tests/control_flow:map_fn_test_cpu PASSED in 10.6s Stats over 2 runs: max = 10.6s, min = 9.3s, avg = 10.0s, dev = 0.7s //tensorflow/python/kernel_tests/nn_ops:atrous_conv2d_test_cpu PASSED in 31.6s Stats over 2 runs: max = 31.6s, min = 18.2s, avg = 24.9s, dev = 6.7s //tensorflow/python/kernel_tests/nn_ops:bias_op_d9m_test_cpu PASSED in 98.0s Stats over 2 runs: max = 98.0s, min = 36.4s, avg = 67.2s, dev = 30.8s //tensorflow/python/kernel_tests/nn_ops:conv2d_backprop_filter_grad_test_cpu PASSED in 8.5s Stats over 2 runs: max = 8.5s, min = 8.5s, avg = 8.5s, dev = 0.0s //tensorflow/python/ops:control_flow_ops_test_cpu PASSED in 32.0s Stats over 2 runs: max = 32.0s, min = 26.4s, avg = 29.2s, dev = 2.8s //tensorflow/compiler/xla/hlo/experimental/auto_sharding:auto_sharding_test FLAKY, failed in 1 out of 2 in 3.7s Stats over 2 runs: max = 3.7s, min = 2.8s, avg = 3.2s, dev = 0.4s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/compiler/xla/hlo/experimental/auto_sharding/auto_sharding_test/test_attempts/attempt_1.log //tensorflow/compiler/tests:spacetobatch_op_test_cpu PASSED in 11.9s Stats over 3 runs: max = 11.9s, min = 11.3s, avg = 11.5s, dev = 0.3s //tensorflow/compiler/tests:spacetobatch_op_test_cpu_mlir_bridge_test PASSED in 13.7s Stats over 3 runs: max = 13.7s, min = 13.2s, avg = 13.4s, dev = 0.2s //tensorflow/compiler/xla/tests:triangular_solve_test_cpu PASSED in 135.1s Stats over 3 runs: max = 135.1s, min = 116.0s, avg = 126.3s, dev = 7.9s //tensorflow/core/data/service:thread_safe_buffer_test PASSED in 0.2s Stats over 3 runs: max = 0.2s, min = 0.2s, avg = 0.2s, dev = 0.0s //tensorflow/python/data/experimental/kernel_tests/service:multi_process_cluster_test PASSED in 24.2s Stats over 3 runs: max = 24.2s, min = 17.6s, avg = 21.5s, dev = 2.8s //tensorflow/python/data/kernel_tests:unique_test PASSED in 42.6s Stats over 3 runs: max = 42.6s, min = 36.5s, avg = 38.6s, dev = 2.8s //tensorflow/python/distribute/coordinator:metric_utils_test PASSED in 23.0s Stats over 3 runs: max = 23.0s, min = 18.3s, avg = 20.5s, dev = 1.9s //tensorflow/python/kernel_tests/array_ops:gather_op_test_cpu PASSED in 70.5s Stats over 3 runs: max = 70.5s, min = 39.6s, avg = 52.1s, dev = 13.3s //tensorflow/python/kernel_tests/array_ops:weights_broadcast_test PASSED in 10.0s Stats over 3 runs: max = 10.0s, min = 9.9s, avg = 9.9s, dev = 0.1s //tensorflow/python/kernel_tests/distributions:util_test_cpu PASSED in 20.1s Stats over 3 runs: max = 20.1s, min = 18.4s, avg = 19.3s, dev = 0.7s //tensorflow/python/kernel_tests/linalg:matrix_triangular_solve_op_test_cpu PASSED in 397.6s Stats over 3 runs: max = 397.6s, min = 8.7s, avg = 138.4s, dev = 183.3s //tensorflow/python/kernel_tests/random:multinomial_op_big_test_cpu PASSED in 13.5s Stats over 3 runs: max = 13.5s, min = 11.1s, avg = 12.2s, dev = 1.0s //tensorflow/python/ops:bincount_ops_test_cpu FAILED in 3 out of 3 in 11.3s Stats over 3 runs: max = 11.3s, min = 6.3s, avg = 8.1s, dev = 2.3s /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/ops/bincount_ops_test_cpu/test.log /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/ops/bincount_ops_test_cpu/test_attempts/attempt_1.log /home/buildslave/.cache/bazel/_bazel_buildslave/fbac33eb30dbfb6b11b15a7ff5ac830d/execroot/org_tensorflow/bazel-out/aarch64-opt/testlogs/tensorflow/python/ops/bincount_ops_test_cpu/test_attempts/attempt_2.log //tensorflow/compiler/xla/tests:dynamic_ops_test_cpu PASSED in 11.7s Stats over 4 runs: max = 11.7s, min = 8.8s, avg = 10.4s, dev = 1.1s //tensorflow/core/kernels:example_parsing_ops_test PASSED in 0.4s Stats over 4 runs: max = 0.4s, min = 0.4s, avg = 0.4s, dev = 0.0s //tensorflow/python/data/experimental/kernel_tests:auto_shard_dataset_test PASSED in 43.5s Stats over 4 runs: max = 43.5s, min = 19.4s, avg = 32.6s, dev = 9.3s //tensorflow/python/data/experimental/kernel_tests:map_and_batch_test PASSED in 37.4s Stats over 4 runs: max = 37.4s, min = 24.2s, avg = 28.6s, dev = 5.3s //tensorflow/python/data/experimental/kernel_tests:parse_example_dataset_test PASSED in 29.8s Stats over 4 runs: max = 29.8s, min = 15.6s, avg = 22.7s, dev = 6.9s //tensorflow/python/data/experimental/kernel_tests:rebatch_dataset_test PASSED in 20.3s Stats over 4 runs: max = 20.3s, min = 9.8s, avg = 13.7s, dev = 4.1s //tensorflow/python/data/experimental/kernel_tests:sql_dataset_test PASSED in 49.1s Stats over 4 runs: max = 49.1s, min = 24.9s, avg = 34.9s, dev = 10.3s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_ft_test PASSED in 9.4s Stats over 4 runs: max = 9.4s, min = 8.4s, avg = 8.9s, dev = 0.4s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_test PASSED in 46.0s Stats over 4 runs: max = 46.0s, min = 25.9s, avg = 36.1s, dev = 9.1s //tensorflow/python/data/kernel_tests:batch_test PASSED in 66.8s Stats over 4 runs: max = 66.8s, min = 45.9s, avg = 53.4s, dev = 8.0s //tensorflow/python/data/kernel_tests:fixed_length_record_dataset_test PASSED in 28.7s Stats over 4 runs: max = 28.7s, min = 14.6s, avg = 21.6s, dev = 6.2s //tensorflow/python/data/kernel_tests:from_generator_test PASSED in 24.5s Stats over 4 runs: max = 24.5s, min = 15.9s, avg = 20.0s, dev = 3.3s //tensorflow/python/data/kernel_tests:group_by_window_test PASSED in 29.1s Stats over 4 runs: max = 29.1s, min = 13.2s, avg = 19.8s, dev = 6.6s //tensorflow/python/data/kernel_tests:ragged_batch_test PASSED in 20.7s Stats over 4 runs: max = 20.7s, min = 18.5s, avg = 19.7s, dev = 0.9s //tensorflow/python/data/kernel_tests:skip_test PASSED in 22.5s Stats over 4 runs: max = 22.5s, min = 17.9s, avg = 20.2s, dev = 2.3s //tensorflow/python/data/kernel_tests:take_test PASSED in 32.1s Stats over 4 runs: max = 32.1s, min = 30.3s, avg = 31.4s, dev = 0.6s //tensorflow/python/data/kernel_tests:take_while_test PASSED in 31.0s Stats over 4 runs: max = 31.0s, min = 26.8s, avg = 28.6s, dev = 1.8s //tensorflow/python/data/kernel_tests:text_line_dataset_test PASSED in 34.2s Stats over 4 runs: max = 34.2s, min = 20.3s, avg = 27.2s, dev = 5.6s //tensorflow/python/data/kernel_tests:zip_test PASSED in 19.6s Stats over 4 runs: max = 19.6s, min = 14.6s, avg = 17.1s, dev = 2.1s //tensorflow/python/debug/lib:dumping_callback_test_cpu PASSED in 15.1s Stats over 4 runs: max = 15.1s, min = 13.9s, avg = 14.4s, dev = 0.4s //tensorflow/python/distribute:cross_device_ops_test_cpu PASSED in 34.3s Stats over 4 runs: max = 34.3s, min = 27.0s, avg = 29.8s, dev = 2.8s //tensorflow/python/framework:convert_to_constants_test PASSED in 34.1s Stats over 4 runs: max = 34.1s, min = 22.3s, avg = 28.1s, dev = 4.3s //tensorflow/python/kernel_tests:collective_ops_test_cpu PASSED in 36.5s Stats over 4 runs: max = 36.5s, min = 32.6s, avg = 35.0s, dev = 1.5s //tensorflow/python/kernel_tests/array_ops:concat_op_test_cpu PASSED in 19.4s Stats over 4 runs: max = 19.4s, min = 9.9s, avg = 13.7s, dev = 3.5s //tensorflow/python/kernel_tests/array_ops:init_ops_test_cpu PASSED in 72.8s Stats over 4 runs: max = 72.8s, min = 26.2s, avg = 47.7s, dev = 19.9s //tensorflow/python/kernel_tests/array_ops:split_op_test_cpu PASSED in 31.8s Stats over 4 runs: max = 31.8s, min = 9.8s, avg = 18.7s, dev = 9.2s //tensorflow/python/kernel_tests/linalg:einsum_op_test_cpu PASSED in 123.1s Stats over 4 runs: max = 123.1s, min = 17.4s, avg = 57.3s, dev = 42.6s //tensorflow/python/kernel_tests/linalg:linear_operator_lower_triangular_test_cpu PASSED in 56.9s Stats over 4 runs: max = 56.9s, min = 50.6s, avg = 53.0s, dev = 2.4s //tensorflow/python/kernel_tests/nn_ops:conv_ops_test_cpu PASSED in 41.3s Stats over 4 runs: max = 41.3s, min = 36.3s, avg = 39.2s, dev = 1.8s //tensorflow/python/kernel_tests/random:random_gamma_test_cpu PASSED in 98.3s Stats over 4 runs: max = 98.3s, min = 8.7s, avg = 48.3s, dev = 39.0s //tensorflow/python/kernel_tests/signal:window_ops_test_cpu PASSED in 21.3s Stats over 4 runs: max = 21.3s, min = 12.7s, avg = 15.2s, dev = 3.6s //tensorflow/python/ops:nn_batchnorm_test_cpu PASSED in 18.0s Stats over 4 runs: max = 18.0s, min = 14.5s, avg = 15.7s, dev = 1.4s //tensorflow/python/ops:nn_fused_batchnorm_d9m_test_cpu PASSED in 17.1s Stats over 4 runs: max = 17.1s, min = 16.6s, avg = 16.9s, dev = 0.2s //tensorflow/python/ops/ragged:ragged_gather_op_test PASSED in 74.9s Stats over 4 runs: max = 74.9s, min = 21.8s, avg = 45.3s, dev = 19.1s //tensorflow/python/ops/ragged:ragged_getitem_test PASSED in 67.9s Stats over 4 runs: max = 67.9s, min = 61.2s, avg = 65.1s, dev = 2.7s //tensorflow/compiler/tests:async_comp_test_cpu PASSED in 8.1s Stats over 5 runs: max = 8.1s, min = 7.7s, avg = 7.9s, dev = 0.1s //tensorflow/compiler/tests:conv3d_test_cpu PASSED in 20.9s Stats over 5 runs: max = 20.9s, min = 10.8s, avg = 15.6s, dev = 3.8s //tensorflow/compiler/tests:conv3d_test_cpu_mlir_bridge_test PASSED in 15.4s Stats over 5 runs: max = 15.4s, min = 10.4s, avg = 12.5s, dev = 2.1s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu PASSED in 18.5s Stats over 5 runs: max = 18.5s, min = 11.6s, avg = 14.2s, dev = 2.7s //tensorflow/compiler/tests:depthwise_conv_op_test_cpu_mlir_bridge_test PASSED in 15.8s Stats over 5 runs: max = 15.8s, min = 10.9s, avg = 12.9s, dev = 2.0s //tensorflow/compiler/tests:fused_batchnorm_test_cpu PASSED in 38.5s Stats over 5 runs: max = 38.5s, min = 37.5s, avg = 37.9s, dev = 0.4s //tensorflow/compiler/tests:fused_batchnorm_test_cpu_mlir_bridge_test PASSED in 15.7s Stats over 5 runs: max = 15.7s, min = 14.0s, avg = 14.6s, dev = 0.6s //tensorflow/compiler/tests:image_ops_jit_compile_test_cpu PASSED in 12.9s Stats over 5 runs: max = 12.9s, min = 10.9s, avg = 11.4s, dev = 0.8s //tensorflow/compiler/tests:reduce_ops_test_cpu PASSED in 11.1s Stats over 5 runs: max = 11.1s, min = 9.9s, avg = 10.7s, dev = 0.4s //tensorflow/compiler/tests:reduce_ops_test_cpu_mlir_bridge_test PASSED in 13.3s Stats over 5 runs: max = 13.3s, min = 11.8s, avg = 12.8s, dev = 0.6s //tensorflow/compiler/tests:repeat_op_test_cpu PASSED in 14.6s Stats over 5 runs: max = 14.6s, min = 11.4s, avg = 12.7s, dev = 1.1s //tensorflow/compiler/tests:repeat_op_test_cpu_mlir_bridge_test PASSED in 11.2s Stats over 5 runs: max = 11.2s, min = 9.6s, avg = 10.0s, dev = 0.6s //tensorflow/compiler/tests:special_math_test_cpu PASSED in 142.9s Stats over 5 runs: max = 142.9s, min = 25.1s, avg = 71.7s, dev = 40.2s //tensorflow/compiler/tests:special_math_test_cpu_mlir_bridge_test PASSED in 91.9s Stats over 5 runs: max = 91.9s, min = 16.7s, avg = 44.4s, dev = 25.8s //tensorflow/compiler/xla/client/lib:self_adjoint_eig_test_cpu PASSED in 31.8s Stats over 5 runs: max = 31.8s, min = 10.7s, avg = 21.4s, dev = 8.5s //tensorflow/core/grappler/optimizers:constant_folding_test PASSED in 3.5s Stats over 5 runs: max = 3.5s, min = 2.1s, avg = 2.8s, dev = 0.5s //tensorflow/dtensor/python/tests:layout_propagation_test_cpu PASSED in 12.3s Stats over 5 runs: max = 12.3s, min = 10.1s, avg = 11.3s, dev = 0.7s //tensorflow/dtensor/python/tests:multi_mesh_test_cpu PASSED in 12.3s Stats over 5 runs: max = 12.3s, min = 10.0s, avg = 11.2s, dev = 0.9s //tensorflow/python/distribute:mirrored_strategy_test_2gpu PASSED in 14.5s Stats over 5 runs: max = 14.5s, min = 13.0s, avg = 13.8s, dev = 0.6s //tensorflow/python/distribute:mirrored_strategy_test_cpu PASSED in 13.5s Stats over 5 runs: max = 13.5s, min = 11.3s, avg = 12.5s, dev = 0.8s //tensorflow/python/distribute:vars_test_2gpu PASSED in 18.0s Stats over 5 runs: max = 18.0s, min = 15.9s, avg = 17.3s, dev = 0.7s //tensorflow/python/distribute:vars_test_cpu PASSED in 20.2s Stats over 5 runs: max = 20.2s, min = 18.1s, avg = 19.2s, dev = 0.8s //tensorflow/python/eager:device_placement_test_cpu PASSED in 10.8s Stats over 5 runs: max = 10.8s, min = 10.2s, avg = 10.6s, dev = 0.2s //tensorflow/python/eager:forwardprop_test_cpu PASSED in 202.7s Stats over 5 runs: max = 202.7s, min = 22.2s, avg = 74.0s, dev = 65.4s //tensorflow/python/eager/polymorphic_function:gradients_test_cpu PASSED in 18.4s Stats over 5 runs: max = 18.4s, min = 10.2s, avg = 14.1s, dev = 3.5s //tensorflow/python/kernel_tests/linalg:cholesky_op_test_cpu PASSED in 66.4s Stats over 5 runs: max = 66.4s, min = 43.1s, avg = 57.0s, dev = 8.0s //tensorflow/python/kernel_tests/linalg:linear_operator_adjoint_test_cpu PASSED in 42.6s Stats over 5 runs: max = 42.6s, min = 38.8s, avg = 40.6s, dev = 1.4s //tensorflow/python/kernel_tests/linalg:linear_operator_composition_test_cpu PASSED in 48.0s Stats over 5 runs: max = 48.0s, min = 44.5s, avg = 45.7s, dev = 1.3s //tensorflow/python/kernel_tests/linalg:linear_operator_diag_test_cpu PASSED in 27.3s Stats over 5 runs: max = 27.3s, min = 25.2s, avg = 26.6s, dev = 0.7s //tensorflow/python/kernel_tests/linalg:linear_operator_full_matrix_test_cpu PASSED in 35.7s Stats over 5 runs: max = 35.7s, min = 32.9s, avg = 34.6s, dev = 1.0s //tensorflow/python/kernel_tests/linalg:linear_operator_householder_test_cpu PASSED in 31.2s Stats over 5 runs: max = 31.2s, min = 29.0s, avg = 29.9s, dev = 0.8s //tensorflow/python/kernel_tests/linalg:linear_operator_identity_test_cpu PASSED in 50.2s Stats over 5 runs: max = 50.2s, min = 40.7s, avg = 45.5s, dev = 3.9s //tensorflow/python/kernel_tests/linalg:linear_operator_inversion_test_cpu PASSED in 28.6s Stats over 5 runs: max = 28.6s, min = 27.9s, avg = 28.4s, dev = 0.2s //tensorflow/python/kernel_tests/linalg:linear_operator_permutation_test_cpu PASSED in 25.8s Stats over 5 runs: max = 25.8s, min = 23.8s, avg = 24.8s, dev = 0.7s //tensorflow/python/kernel_tests/linalg:linear_operator_toeplitz_test_cpu PASSED in 25.1s Stats over 5 runs: max = 25.1s, min = 22.9s, avg = 23.9s, dev = 0.9s //tensorflow/python/kernel_tests/linalg:linear_operator_tridiag_test_cpu PASSED in 131.5s Stats over 5 runs: max = 131.5s, min = 120.2s, avg = 124.2s, dev = 4.1s //tensorflow/python/kernel_tests/linalg:linear_operator_util_test_cpu PASSED in 16.3s Stats over 5 runs: max = 16.3s, min = 14.5s, avg = 15.4s, dev = 0.7s //tensorflow/python/kernel_tests/linalg:linear_operator_zeros_test_cpu PASSED in 41.6s Stats over 5 runs: max = 41.6s, min = 37.2s, avg = 38.4s, dev = 1.6s //tensorflow/python/kernel_tests/nn_ops:fractional_avg_pool_op_test PASSED in 13.8s Stats over 5 runs: max = 13.8s, min = 8.5s, avg = 9.9s, dev = 2.0s //tensorflow/python/kernel_tests/nn_ops:fractional_max_pool_op_test PASSED in 13.9s Stats over 5 runs: max = 13.9s, min = 6.8s, avg = 9.1s, dev = 2.5s //tensorflow/python/kernel_tests/sparse_ops:sparse_ops_test_cpu PASSED in 40.1s Stats over 5 runs: max = 40.1s, min = 8.0s, avg = 16.0s, dev = 12.1s //tensorflow/python/ops/parallel_for:math_test_cpu PASSED in 80.6s Stats over 5 runs: max = 80.6s, min = 29.0s, avg = 50.9s, dev = 18.3s //tensorflow/compiler/tests:scan_ops_test_cpu PASSED in 17.3s Stats over 6 runs: max = 17.3s, min = 13.3s, avg = 15.4s, dev = 1.3s //tensorflow/compiler/tests:scan_ops_test_cpu_mlir_bridge_test PASSED in 30.5s Stats over 6 runs: max = 30.5s, min = 20.8s, avg = 27.0s, dev = 3.3s //tensorflow/python/data/experimental/kernel_tests:make_batched_features_dataset_test PASSED in 59.3s Stats over 6 runs: max = 59.3s, min = 29.4s, avg = 44.1s, dev = 12.4s //tensorflow/python/kernel_tests/array_ops:diag_op_test_cpu PASSED in 61.0s Stats over 6 runs: max = 61.0s, min = 9.3s, avg = 20.8s, dev = 18.1s //tensorflow/python/kernel_tests/math_ops:reduction_ops_test_cpu PASSED in 49.2s Stats over 6 runs: max = 49.2s, min = 24.7s, avg = 35.5s, dev = 7.7s //tensorflow/python/ops:accumulate_n_benchmark_cpu PASSED in 8.7s Stats over 6 runs: max = 8.7s, min = 3.9s, avg = 6.3s, dev = 1.5s //tensorflow/python/distribute/experimental/rpc:rpc_ops_test PASSED in 13.8s Stats over 7 runs: max = 13.8s, min = 7.7s, avg = 10.1s, dev = 2.0s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu PASSED in 78.0s Stats over 8 runs: max = 78.0s, min = 8.0s, avg = 31.7s, dev = 23.8s //tensorflow/compiler/tests:matrix_diag_ops_test_cpu_mlir_bridge_test PASSED in 61.7s Stats over 8 runs: max = 61.7s, min = 7.5s, avg = 25.9s, dev = 18.7s //tensorflow/dtensor/python/tests:input_util_test PASSED in 22.5s Stats over 8 runs: max = 22.5s, min = 14.3s, avg = 19.2s, dev = 2.6s //tensorflow/python/data/experimental/kernel_tests:csv_dataset_test PASSED in 33.0s Stats over 8 runs: max = 33.0s, min = 7.8s, avg = 17.0s, dev = 8.7s //tensorflow/python/data/experimental/kernel_tests:parallel_interleave_test PASSED in 28.9s Stats over 8 runs: max = 28.9s, min = 15.8s, avg = 21.9s, dev = 4.7s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_ft_test PASSED in 41.1s Stats over 8 runs: max = 41.1s, min = 4.6s, avg = 21.4s, dev = 15.1s //tensorflow/python/data/experimental/kernel_tests/service:coordinated_read_test PASSED in 25.9s Stats over 8 runs: max = 25.9s, min = 5.9s, avg = 13.1s, dev = 7.2s //tensorflow/python/data/experimental/kernel_tests/service:cross_trainer_cache_test PASSED in 19.6s Stats over 8 runs: max = 19.6s, min = 9.5s, avg = 13.1s, dev = 3.7s //tensorflow/python/data/experimental/kernel_tests/service:fault_tolerance_test PASSED in 18.4s Stats over 8 runs: max = 18.4s, min = 9.2s, avg = 12.4s, dev = 2.9s //tensorflow/python/data/kernel_tests:filter_test PASSED in 17.0s Stats over 8 runs: max = 17.0s, min = 12.4s, avg = 15.3s, dev = 1.4s //tensorflow/python/data/kernel_tests:flat_map_test PASSED in 28.3s Stats over 8 runs: max = 28.3s, min = 17.1s, avg = 21.8s, dev = 4.4s //tensorflow/python/data/kernel_tests:shard_test PASSED in 30.4s Stats over 8 runs: max = 30.4s, min = 23.7s, avg = 27.5s, dev = 2.4s //tensorflow/python/data/kernel_tests:shuffle_test PASSED in 91.4s Stats over 8 runs: max = 91.4s, min = 52.9s, avg = 60.2s, dev = 11.9s //tensorflow/python/data/kernel_tests:tf_record_dataset_test PASSED in 27.7s Stats over 8 runs: max = 27.7s, min = 16.2s, avg = 20.9s, dev = 3.1s //tensorflow/python/distribute/failure_handling:failure_handler_test PASSED in 86.8s Stats over 8 runs: max = 86.8s, min = 25.8s, avg = 51.4s, dev = 20.1s //tensorflow/python/distribute/failure_handling:gce_failure_handler_test PASSED in 94.3s Stats over 8 runs: max = 94.3s, min = 13.8s, avg = 37.0s, dev = 32.9s //tensorflow/python/kernel_tests/linalg:linalg_ops_test_cpu PASSED in 51.2s Stats over 8 runs: max = 51.2s, min = 27.8s, avg = 41.0s, dev = 8.2s //tensorflow/python/kernel_tests/linalg:linear_operator_block_diag_test_cpu PASSED in 74.1s Stats over 8 runs: max = 74.1s, min = 56.4s, avg = 65.7s, dev = 6.3s //tensorflow/python/kernel_tests/linalg:linear_operator_block_lower_triangular_test_cpu PASSED in 63.1s Stats over 8 runs: max = 63.1s, min = 36.0s, avg = 49.8s, dev = 9.0s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_d9m_test_cpu PASSED in 57.2s Stats over 8 runs: max = 57.2s, min = 7.6s, avg = 16.4s, dev = 16.2s //tensorflow/python/kernel_tests/nn_ops:depthwise_conv_op_test_cpu PASSED in 8.8s Stats over 8 runs: max = 8.8s, min = 7.9s, avg = 8.3s, dev = 0.3s //tensorflow/python/ops/ragged:dynamic_ragged_shape_test PASSED in 48.1s Stats over 8 runs: max = 48.1s, min = 31.4s, avg = 38.7s, dev = 5.8s //tensorflow/python/ops/ragged:ragged_tensor_test PASSED in 28.4s Stats over 8 runs: max = 28.4s, min = 15.9s, avg = 20.3s, dev = 3.8s //tensorflow/compiler/tests:bincount_op_test_cpu PASSED in 8.6s Stats over 10 runs: max = 8.6s, min = 6.0s, avg = 7.9s, dev = 0.9s //tensorflow/compiler/tests:conv2d_test_cpu PASSED in 9.8s Stats over 10 runs: max = 9.8s, min = 9.1s, avg = 9.5s, dev = 0.2s //tensorflow/compiler/tests:conv2d_test_cpu_mlir_bridge_test PASSED in 10.1s Stats over 10 runs: max = 10.1s, min = 9.2s, avg = 9.8s, dev = 0.3s //tensorflow/compiler/tests:random_ops_test_cpu PASSED in 14.5s Stats over 10 runs: max = 14.5s, min = 6.5s, avg = 10.7s, dev = 2.6s //tensorflow/compiler/tests:random_ops_test_cpu_mlir_bridge_test PASSED in 18.0s Stats over 10 runs: max = 18.0s, min = 8.9s, avg = 13.8s, dev = 2.7s //tensorflow/compiler/tests:stateless_random_ops_test_cpu PASSED in 70.1s Stats over 10 runs: max = 70.1s, min = 37.7s, avg = 53.6s, dev = 10.5s //tensorflow/compiler/tests:stateless_random_ops_test_cpu_mlir_bridge_test PASSED in 93.2s Stats over 10 runs: max = 93.2s, min = 55.5s, avg = 73.6s, dev = 11.7s //tensorflow/compiler/xla/client/lib:svd_test_cpu PASSED in 28.9s Stats over 10 runs: max = 28.9s, min = 5.6s, avg = 12.7s, dev = 8.3s //tensorflow/compiler/xla/client/lib:tridiagonal_test_cpu PASSED in 6.7s Stats over 10 runs: max = 6.7s, min = 5.8s, avg = 6.1s, dev = 0.2s //tensorflow/compiler/xla/service/cpu:cpu_runtime_test PASSED in 9.7s Stats over 10 runs: max = 9.7s, min = 0.6s, avg = 3.6s, dev = 2.3s //tensorflow/python/data/kernel_tests:rejection_resample_test PASSED in 11.0s Stats over 10 runs: max = 11.0s, min = 3.6s, avg = 7.9s, dev = 2.6s //tensorflow/python/distribute:input_lib_type_spec_test_2gpu PASSED in 22.9s Stats over 10 runs: max = 22.9s, min = 12.3s, avg = 16.8s, dev = 3.7s //tensorflow/python/distribute:input_lib_type_spec_test_cpu PASSED in 21.2s Stats over 10 runs: max = 21.2s, min = 11.2s, avg = 15.5s, dev = 3.8s //tensorflow/python/framework:config_vgpu_test_2gpu PASSED in 9.0s Stats over 10 runs: max = 9.0s, min = 5.1s, avg = 7.3s, dev = 1.4s //tensorflow/python/framework:config_vgpu_test_cpu PASSED in 7.9s Stats over 10 runs: max = 7.9s, min = 3.1s, avg = 5.8s, dev = 1.9s //tensorflow/python/framework:function_test_cpu PASSED in 66.8s Stats over 10 runs: max = 66.8s, min = 9.2s, avg = 19.2s, dev = 16.9s //tensorflow/python/grappler:cluster_test_cpu PASSED in 9.6s Stats over 10 runs: max = 9.6s, min = 7.6s, avg = 8.7s, dev = 0.6s //tensorflow/python/kernel_tests/array_ops:array_ops_test_cpu PASSED in 15.4s Stats over 10 runs: max = 15.4s, min = 9.6s, avg = 11.7s, dev = 1.7s //tensorflow/python/kernel_tests/array_ops:inplace_ops_test_cpu PASSED in 9.5s Stats over 10 runs: max = 9.5s, min = 5.7s, avg = 7.6s, dev = 1.2s //tensorflow/python/kernel_tests/data_structures:tensor_array_ops_test_cpu PASSED in 12.8s Stats over 10 runs: max = 12.8s, min = 9.4s, avg = 10.6s, dev = 1.1s //tensorflow/python/kernel_tests/linalg:linear_operator_low_rank_update_test_cpu PASSED in 90.8s Stats over 10 runs: max = 90.8s, min = 82.6s, avg = 87.3s, dev = 2.6s //tensorflow/python/kernel_tests/linalg:tridiagonal_matmul_op_test_cpu PASSED in 118.1s Stats over 10 runs: max = 118.1s, min = 6.1s, avg = 18.7s, dev = 33.1s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_ops_test_cpu PASSED in 37.4s Stats over 10 runs: max = 37.4s, min = 6.4s, avg = 18.7s, dev = 8.8s //tensorflow/python/kernel_tests/math_ops:segment_reduction_ops_test_cpu PASSED in 41.9s Stats over 10 runs: max = 41.9s, min = 13.4s, avg = 23.3s, dev = 9.7s //tensorflow/python/kernel_tests/nn_ops:pooling_ops_test_cpu PASSED in 23.9s Stats over 10 runs: max = 23.9s, min = 8.1s, avg = 11.9s, dev = 5.3s //tensorflow/python/kernel_tests/nn_ops:rnn_test_cpu PASSED in 15.1s Stats over 10 runs: max = 15.1s, min = 12.6s, avg = 13.7s, dev = 0.8s //tensorflow/python/kernel_tests/random:random_index_shuffle_test PASSED in 11.6s Stats over 10 runs: max = 11.6s, min = 9.4s, avg = 10.8s, dev = 0.7s //tensorflow/python/kernel_tests/random:stateless_random_ops_test_cpu PASSED in 90.2s Stats over 10 runs: max = 90.2s, min = 19.1s, avg = 54.5s, dev = 33.9s //tensorflow/python/ops:special_math_ops_test_cpu PASSED in 53.5s Stats over 10 runs: max = 53.5s, min = 10.1s, avg = 17.4s, dev = 12.4s //tensorflow/python/ops:weak_tensor_special_math_ops_test_cpu PASSED in 11.2s Stats over 10 runs: max = 11.2s, min = 4.4s, avg = 7.0s, dev = 2.1s //tensorflow/python/ops/numpy_ops/tests:np_indexing_test PASSED in 96.5s Stats over 10 runs: max = 96.5s, min = 88.8s, avg = 92.5s, dev = 2.5s //tensorflow/python/ops/ragged:ragged_tensor_supported_values_test PASSED in 18.8s Stats over 10 runs: max = 18.8s, min = 15.8s, avg = 17.0s, dev = 0.9s //tensorflow/python/saved_model:load_test_cpu PASSED in 62.6s Stats over 10 runs: max = 62.6s, min = 38.3s, avg = 43.7s, dev = 6.9s //tensorflow/compiler/tests:fft_test_cpu PASSED in 21.0s Stats over 12 runs: max = 21.0s, min = 8.3s, avg = 14.6s, dev = 5.1s //tensorflow/compiler/xla/service:triangular_solve_expander_test PASSED in 4.4s Stats over 12 runs: max = 4.4s, min = 2.2s, avg = 3.1s, dev = 0.6s //tensorflow/python/data/experimental/kernel_tests:group_by_reducer_test PASSED in 17.9s Stats over 12 runs: max = 17.9s, min = 3.7s, avg = 10.8s, dev = 4.1s //tensorflow/python/data/kernel_tests:choose_from_datasets_test PASSED in 13.2s Stats over 12 runs: max = 13.2s, min = 6.1s, avg = 8.4s, dev = 2.0s //tensorflow/python/data/kernel_tests:memory_cleanup_test_cpu PASSED in 11.8s Stats over 12 runs: max = 11.8s, min = 8.7s, avg = 10.1s, dev = 1.0s //tensorflow/python/distribute:moving_averages_test_2gpu PASSED in 20.8s Stats over 12 runs: max = 20.8s, min = 14.7s, avg = 18.0s, dev = 1.7s //tensorflow/python/distribute:moving_averages_test_cpu PASSED in 30.3s Stats over 12 runs: max = 30.3s, min = 19.1s, avg = 25.3s, dev = 3.4s //tensorflow/python/distribute:multi_process_runner_test_2gpu PASSED in 229.5s Stats over 12 runs: max = 229.5s, min = 16.2s, avg = 54.3s, dev = 58.7s //tensorflow/python/distribute:multi_process_runner_test_cpu PASSED in 232.0s Stats over 12 runs: max = 232.0s, min = 17.2s, avg = 57.0s, dev = 59.0s //tensorflow/python/eager/polymorphic_function:polymorphic_function_test_cpu PASSED in 22.5s Stats over 15 runs: max = 22.5s, min = 11.0s, avg = 16.3s, dev = 3.8s //tensorflow/python/kernel_tests/nn_ops:rnn_cell_test_cpu PASSED in 58.0s Stats over 15 runs: max = 58.0s, min = 16.5s, avg = 22.6s, dev = 10.4s //tensorflow/compiler/tests:ftrl_test_cpu PASSED in 15.6s Stats over 16 runs: max = 15.6s, min = 7.2s, avg = 12.4s, dev = 2.7s //tensorflow/compiler/tests:ternary_ops_test_cpu PASSED in 15.0s Stats over 16 runs: max = 15.0s, min = 7.1s, avg = 9.5s, dev = 2.1s //tensorflow/compiler/tests:ternary_ops_test_cpu_mlir_bridge_test PASSED in 22.3s Stats over 16 runs: max = 22.3s, min = 6.2s, avg = 11.3s, dev = 3.7s //tensorflow/python/data/experimental/kernel_tests/service:dynamic_sharding_test PASSED in 14.5s Stats over 16 runs: max = 14.5s, min = 6.5s, avg = 10.3s, dev = 2.8s //tensorflow/python/data/kernel_tests:snapshot_test PASSED in 30.0s Stats over 16 runs: max = 30.0s, min = 12.9s, avg = 19.5s, dev = 5.1s //tensorflow/python/kernel_tests/control_flow:control_flow_ops_py_test_cpu PASSED in 33.9s Stats over 16 runs: max = 33.9s, min = 11.3s, avg = 14.0s, dev = 5.2s //tensorflow/python/kernel_tests/linalg:matrix_exponential_op_test PASSED in 11.7s Stats over 16 runs: max = 11.7s, min = 7.2s, avg = 8.5s, dev = 1.2s //tensorflow/python/kernel_tests/signal:dct_ops_test_cpu PASSED in 14.6s Stats over 16 runs: max = 14.6s, min = 8.8s, avg = 11.5s, dev = 1.9s //tensorflow/python/ops:image_ops_test_cpu PASSED in 20.4s Stats over 16 runs: max = 20.4s, min = 7.6s, avg = 13.2s, dev = 3.3s //tensorflow/python/data/experimental/kernel_tests/service:distributed_save_ft_test PASSED in 43.9s Stats over 17 runs: max = 43.9s, min = 4.4s, avg = 15.0s, dev = 14.1s //tensorflow/python/data/kernel_tests:map_test PASSED in 35.3s Stats over 19 runs: max = 35.3s, min = 8.7s, avg = 19.7s, dev = 5.4s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu PASSED in 9.7s Stats over 20 runs: max = 9.7s, min = 4.1s, avg = 7.6s, dev = 1.7s //tensorflow/compiler/tests:pooling_ops_3d_test_cpu_mlir_bridge_test PASSED in 15.3s Stats over 20 runs: max = 15.3s, min = 4.3s, avg = 6.3s, dev = 2.3s //tensorflow/compiler/tests:pooling_ops_test_cpu PASSED in 12.6s Stats over 20 runs: max = 12.6s, min = 3.5s, avg = 6.4s, dev = 2.5s //tensorflow/compiler/tests:pooling_ops_test_cpu_mlir_bridge_test PASSED in 13.2s Stats over 20 runs: max = 13.2s, min = 3.8s, avg = 7.4s, dev = 2.5s //tensorflow/compiler/tests:stochastic_cast_op_test_cpu PASSED in 13.5s Stats over 20 runs: max = 13.5s, min = 6.5s, avg = 8.5s, dev = 2.0s //tensorflow/compiler/xla/tests:convolution_dimension_numbers_test_cpu PASSED in 8.2s Stats over 20 runs: max = 8.2s, min = 6.3s, avg = 7.1s, dev = 0.5s //tensorflow/compiler/xla/tests:dot_operation_single_threaded_runtime_test_cpu PASSED in 13.1s Stats over 20 runs: max = 13.1s, min = 9.3s, avg = 10.5s, dev = 1.0s //tensorflow/compiler/xla/tests:dot_operation_test_cpu PASSED in 14.9s Stats over 20 runs: max = 14.9s, min = 10.5s, avg = 12.9s, dev = 1.2s //tensorflow/compiler/xla/tests:prng_test_cpu PASSED in 9.5s Stats over 20 runs: max = 9.5s, min = 6.8s, avg = 8.0s, dev = 0.8s //tensorflow/compiler/xla/tests:reduce_window_test_cpu PASSED in 35.0s Stats over 20 runs: max = 35.0s, min = 6.0s, avg = 14.6s, dev = 9.2s //tensorflow/python/autograph/tests:loop_control_flow_test PASSED in 25.9s Stats over 20 runs: max = 25.9s, min = 18.8s, avg = 21.7s, dev = 2.0s //tensorflow/python/kernel_tests:metrics_test PASSED in 43.2s Stats over 20 runs: max = 43.2s, min = 7.5s, avg = 20.0s, dev = 9.8s //tensorflow/python/kernel_tests/array_ops:matrix_band_part_op_test_cpu PASSED in 10.2s Stats over 20 runs: max = 10.2s, min = 3.7s, avg = 5.8s, dev = 1.6s //tensorflow/python/kernel_tests/data_structures:barrier_ops_test PASSED in 11.5s Stats over 20 runs: max = 11.5s, min = 3.4s, avg = 7.3s, dev = 2.3s //tensorflow/python/kernel_tests/linalg:eig_op_test PASSED in 43.8s Stats over 20 runs: max = 43.8s, min = 3.6s, avg = 14.0s, dev = 12.2s //tensorflow/python/kernel_tests/linalg:linalg_grad_test_cpu PASSED in 121.0s Stats over 20 runs: max = 121.0s, min = 37.1s, avg = 75.7s, dev = 25.2s //tensorflow/python/kernel_tests/linalg:norm_op_test_cpu PASSED in 11.2s Stats over 20 runs: max = 11.2s, min = 5.6s, avg = 7.9s, dev = 1.5s //tensorflow/python/kernel_tests/linalg:normalize_op_test_cpu PASSED in 15.3s Stats over 20 runs: max = 15.3s, min = 6.1s, avg = 10.8s, dev = 2.6s //tensorflow/python/kernel_tests/linalg:qr_op_test_cpu PASSED in 196.3s Stats over 20 runs: max = 196.3s, min = 35.6s, avg = 99.0s, dev = 48.1s //tensorflow/python/kernel_tests/linalg:self_adjoint_eig_op_test_cpu PASSED in 23.1s Stats over 20 runs: max = 23.1s, min = 4.8s, avg = 10.9s, dev = 4.9s //tensorflow/python/kernel_tests/math_ops:batch_matmul_op_test_cpu PASSED in 23.3s Stats over 20 runs: max = 23.3s, min = 6.3s, avg = 14.3s, dev = 4.3s //tensorflow/python/kernel_tests/math_ops:matmul_op_test_cpu PASSED in 17.9s Stats over 20 runs: max = 17.9s, min = 12.4s, avg = 15.2s, dev = 2.0s //tensorflow/python/kernel_tests/math_ops:tensordot_op_test_cpu PASSED in 69.3s Stats over 20 runs: max = 69.3s, min = 5.1s, avg = 27.5s, dev = 21.0s //tensorflow/python/kernel_tests/nn_ops:embedding_ops_test_cpu PASSED in 23.8s Stats over 20 runs: max = 23.8s, min = 11.2s, avg = 16.5s, dev = 2.9s //tensorflow/python/data/kernel_tests:interleave_test PASSED in 21.9s Stats over 24 runs: max = 21.9s, min = 7.3s, avg = 12.9s, dev = 3.9s //tensorflow/python/data/kernel_tests:sample_from_datasets_test PASSED in 19.1s Stats over 24 runs: max = 19.1s, min = 4.1s, avg = 9.2s, dev = 3.9s //tensorflow/compiler/xla/tests:array_elementwise_ops_test_cpu PASSED in 9.7s Stats over 25 runs: max = 9.7s, min = 6.4s, avg = 7.4s, dev = 0.7s //tensorflow/compiler/xla/tests:select_and_scatter_test_cpu PASSED in 33.1s Stats over 25 runs: max = 33.1s, min = 6.8s, avg = 11.1s, dev = 7.0s //tensorflow/compiler/xla/tests:convolution_variants_test_cpu PASSED in 8.6s Stats over 30 runs: max = 8.6s, min = 6.0s, avg = 7.2s, dev = 0.5s //tensorflow/compiler/xla/tests:iota_test_cpu PASSED in 18.3s Stats over 30 runs: max = 18.3s, min = 13.7s, avg = 16.4s, dev = 1.1s //tensorflow/compiler/xla/tests:params_test_cpu PASSED in 1451.1s Stats over 30 runs: max = 1451.1s, min = 6.8s, avg = 55.9s, dev = 259.1s //tensorflow/compiler/xla/tests:reshape_test_cpu PASSED in 8.5s Stats over 30 runs: max = 8.5s, min = 6.8s, avg = 7.6s, dev = 0.5s //tensorflow/python/kernel_tests/nn_ops:conv_ops_3d_test_cpu PASSED in 19.6s Stats over 30 runs: max = 19.6s, min = 4.4s, avg = 9.2s, dev = 3.1s //tensorflow/compiler/xla/tests:reduce_test_cpu PASSED in 13.5s Stats over 31 runs: max = 13.5s, min = 7.3s, avg = 9.1s, dev = 1.3s //tensorflow/compiler/xla/tests:scalar_computations_test_cpu PASSED in 9.3s Stats over 32 runs: max = 9.3s, min = 6.3s, avg = 7.0s, dev = 0.8s //tensorflow/python/data/experimental/kernel_tests/service:data_service_ops_test PASSED in 19.6s Stats over 32 runs: max = 19.6s, min = 4.0s, avg = 10.5s, dev = 3.5s //tensorflow/python/data/experimental/kernel_tests/service:worker_tags_test PASSED in 19.9s Stats over 32 runs: max = 19.9s, min = 4.6s, avg = 11.1s, dev = 4.5s //tensorflow/python/kernel_tests/linalg:linear_operator_circulant_test_cpu PASSED in 46.0s Stats over 32 runs: max = 46.0s, min = 34.5s, avg = 40.1s, dev = 3.0s //tensorflow/compiler/xla/tests:batch_normalization_test_cpu PASSED in 18.2s Stats over 40 runs: max = 18.2s, min = 7.0s, avg = 8.7s, dev = 2.0s //tensorflow/compiler/xla/tests:bfloat16_test_cpu PASSED in 11.5s Stats over 40 runs: max = 11.5s, min = 10.9s, avg = 11.2s, dev = 0.2s //tensorflow/compiler/xla/tests:conv_depthwise_backprop_filter_test_cpu PASSED in 18.8s Stats over 40 runs: max = 18.8s, min = 8.5s, avg = 11.9s, dev = 2.1s //tensorflow/compiler/xla/tests:slice_test_cpu PASSED in 10.1s Stats over 40 runs: max = 10.1s, min = 6.6s, avg = 8.5s, dev = 1.0s //tensorflow/core/kernels:stochastic_cast_op_test PASSED in 2.0s Stats over 48 runs: max = 2.0s, min = 0.4s, avg = 0.5s, dev = 0.3s //tensorflow/compiler/mlir/quantization/tensorflow/python:quantize_model_test PASSED in 64.9s Stats over 50 runs: max = 64.9s, min = 26.4s, avg = 44.0s, dev = 9.6s //tensorflow/compiler/tests:sort_ops_test_cpu PASSED in 15.8s Stats over 50 runs: max = 15.8s, min = 3.6s, avg = 8.7s, dev = 2.8s //tensorflow/compiler/tests:sort_ops_test_cpu_mlir_bridge_test PASSED in 23.3s Stats over 50 runs: max = 23.3s, min = 3.6s, avg = 12.5s, dev = 4.7s //tensorflow/compiler/tests:unary_ops_test_cpu PASSED in 19.4s Stats over 50 runs: max = 19.4s, min = 3.6s, avg = 6.3s, dev = 3.1s //tensorflow/compiler/tests:unary_ops_test_cpu_mlir_bridge_test PASSED in 33.6s Stats over 50 runs: max = 33.6s, min = 3.8s, avg = 9.2s, dev = 6.1s //tensorflow/compiler/xla/tests:conv_depthwise_test_cpu PASSED in 17.5s Stats over 50 runs: max = 17.5s, min = 5.9s, avg = 8.7s, dev = 2.4s //tensorflow/compiler/xla/tests:convolution_test_1d_no_vmodule_cpu PASSED in 17.5s Stats over 50 runs: max = 17.5s, min = 6.8s, avg = 13.4s, dev = 2.9s //tensorflow/compiler/xla/tests:convolution_test_cpu PASSED in 18.9s Stats over 50 runs: max = 18.9s, min = 9.1s, avg = 11.1s, dev = 1.4s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_dense_mat_mul_grad_test_cpu PASSED in 14.0s Stats over 50 runs: max = 14.0s, min = 4.7s, avg = 8.1s, dev = 2.4s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_grad_test_cpu PASSED in 9.3s Stats over 50 runs: max = 9.3s, min = 3.7s, avg = 5.4s, dev = 1.6s //tensorflow/python/kernel_tests/linalg/sparse:csr_sparse_matrix_sparse_mat_mul_grad_test_cpu PASSED in 8.8s Stats over 50 runs: max = 8.8s, min = 3.5s, avg = 5.2s, dev = 1.7s //tensorflow/python/kernel_tests/math_ops:cwise_ops_binary_test_cpu PASSED in 51.7s Stats over 50 runs: max = 51.7s, min = 9.6s, avg = 24.0s, dev = 10.4s //tensorflow/python/kernel_tests/math_ops:cwise_ops_test_cpu PASSED in 15.2s Stats over 50 runs: max = 15.2s, min = 3.6s, avg = 5.3s, dev = 2.0s //tensorflow/python/kernel_tests/math_ops:cwise_ops_unary_test_cpu PASSED in 15.3s Stats over 50 runs: max = 15.3s, min = 3.5s, avg = 6.6s, dev = 2.8s Executed 3934 out of 3934 tests: 3933 tests pass and 1 fails locally. There were tests whose specified size is too big. Use the --test_verbose_timeout_warnings command line option to see which ones these are.