[release/2.5] Skipped some inductor tests for no hipcc rocm environments #1697
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ROCm Repo Management API / Tests / Tests / Test PyTorch / Run pytorch_test2
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Dec 18, 2024 in 0s
failed: 3, skipped: 4106, passed: 29601
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Details
TestNNDeviceTypeCUDA.test_batchnorm_eval_mixed_cuda_bfloat16
RuntimeError: miopenStatusNotImplemented. This error may appear if you passed in a non-contiguous input.
To execute this test, run the following from the base repo dir:
PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNNDeviceTypeCUDA.test_batchnorm_eval_mixed_cuda_bfloat16
This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
Stack trace
Traceback (most recent call last):
File "/var/lib/jenkins/pytorch/test/test_nn.py", line 11020, in test_batchnorm_eval_mixed
self._test_batchnorm_eval(3, device, dtype, torch.float)
File "/var/lib/jenkins/pytorch/test/test_nn.py", line 10966, in _test_batchnorm_eval
res1 = module(data)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py", line 193, in forward
return F.batch_norm(
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 2812, in batch_norm
return torch.batch_norm(
RuntimeError: miopenStatusNotImplemented. This error may appear if you passed in a non-contiguous input.
To execute this test, run the following from the base repo dir:
PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNNDeviceTypeCUDA.test_batchnorm_eval_mixed_cuda_bfloat16
This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
TestNNDeviceTypeCUDA.test_batchnorm_eval_mixed_cuda_bfloat16
RuntimeError: miopenStatusNotImplemented. This error may appear if you passed in a non-contiguous input.
To execute this test, run the following from the base repo dir:
PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNNDeviceTypeCUDA.test_batchnorm_eval_mixed_cuda_bfloat16
This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
Stack trace
Traceback (most recent call last):
File "/var/lib/jenkins/pytorch/test/test_nn.py", line 11020, in test_batchnorm_eval_mixed
self._test_batchnorm_eval(3, device, dtype, torch.float)
File "/var/lib/jenkins/pytorch/test/test_nn.py", line 10966, in _test_batchnorm_eval
res1 = module(data)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py", line 193, in forward
return F.batch_norm(
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 2812, in batch_norm
return torch.batch_norm(
RuntimeError: miopenStatusNotImplemented. This error may appear if you passed in a non-contiguous input.
To execute this test, run the following from the base repo dir:
PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNNDeviceTypeCUDA.test_batchnorm_eval_mixed_cuda_bfloat16
This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
TestNNDeviceTypeCUDA.test_batchnorm_eval_mixed_cuda_bfloat16
RuntimeError: miopenStatusNotImplemented. This error may appear if you passed in a non-contiguous input.
To execute this test, run the following from the base repo dir:
PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNNDeviceTypeCUDA.test_batchnorm_eval_mixed_cuda_bfloat16
This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
Stack trace
Traceback (most recent call last):
File "/var/lib/jenkins/pytorch/test/test_nn.py", line 11020, in test_batchnorm_eval_mixed
self._test_batchnorm_eval(3, device, dtype, torch.float)
File "/var/lib/jenkins/pytorch/test/test_nn.py", line 10966, in _test_batchnorm_eval
res1 = module(data)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py", line 193, in forward
return F.batch_norm(
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 2812, in batch_norm
return torch.batch_norm(
RuntimeError: miopenStatusNotImplemented. This error may appear if you passed in a non-contiguous input.
To execute this test, run the following from the base repo dir:
PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNNDeviceTypeCUDA.test_batchnorm_eval_mixed_cuda_bfloat16
This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
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