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`ndarray.max()` does not call CUB in some conditions
See original GitHub issueAs mentioned in #4232, a daily test fails where ndarray.max() does not call cupy.core._routines_statistics.cub.device_segmented_reduce for some reasons.
https://jenkins.preferred.jp/job/chainer/job/daily_master_cupy-shuffled/378/ID=20,label=mn1-p100/
The following shows the condition of the daily shuffle test.
11:22:17 + ./run_cupy_combination_test.py --id 20
11:22:17 --- Shuffle Parameters ---
11:22:17 cuda_libs: ('cuda90', 'cudnn73-cuda9', 'nccl2.4-cuda9', 'none')
11:22:17 scipy: None
11:22:17 base: ubuntu16_py35
11:22:17 numpy: 1.18
11:22:17 --- Configuration ---
11:22:17 nccl: nccl2.4-cuda9
11:22:17 cutensor: none
11:22:17 cudnn: cudnn73-cuda9
11:22:17 base: ubuntu16_py35
11:22:17 cuda: cuda90
11:22:17 requires: ['numpy<1.19']
11:23:55 sha256:28646ab8950d2c4793c87a7631006aa0a7c063fd6ba98cfeef674f1c0dff3798
Issue Analytics
- State:
- Created 3 years ago
- Reactions:2
- Comments:7 (7 by maintainers)
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Looks good to skip the mock tests for CUDA 9.0 (than to vary the range of
dtype). Yes, your PR is welcome.Now
test_cub_maxandtest_cub_minreport the same error.