Opinfo based testing of torch.bmm with Strided, COO, CSR, and CSC samples. #84572

pearu · 2022-09-06T15:35:56Z

Stack from ghstack (oldest at bottom):

…ples. [ghstack-poisoned]

facebook-github-bot · 2022-09-06T15:36:04Z

🔗 Helpful links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/84572
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✖️ C++ docs build was skipped
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❌ 10 New Failures

As of commit 3e85a6c (more details on the Dr. CI page):

Expand to see more

10/10 failures introduced in this PR

🕵️ 9 new failures recognized by patterns

The following CI failures do not appear to be due to upstream breakages

Lint / lintrunner (1/9)

Step: "Run lintrunner on all files" (full log | diagnosis details)

2022-09-06T15:44:22.3931798Z �[0m �[2m48...SparseCsr to SparseCsc is currently not supported:

2022-09-06T15:44:22.3928824Z         �[2m475�[0m  |            col_indices[batch_index] = b.col_indices()
2022-09-06T15:44:22.3928977Z 
2022-09-06T15:44:22.3929131Z   �[41m�[1mError�[0m (MYPY) �[4m[arg-type]�[0m
2022-09-06T15:44:22.3929396Z     Argument 1 to "map" has incompatible type "Type[List[Any]]"; expected
2022-09-06T15:44:22.3929644Z     "Callable[[range], List[_T]]"
2022-09-06T15:44:22.3929765Z 
2022-09-06T15:44:22.3930034Z         �[2m481�[0m  |        ccol_indices = torch.zeros((*batchsize, nrows + 1), dtype=index_dtype, device=device)
2022-09-06T15:44:22.3930468Z         �[2m482�[0m  |        row_indices = torch.zeros((*batchsize, nse), dtype=index_dtype, device=device)
2022-09-06T15:44:22.3930877Z         �[2m483�[0m  |        values = torch.zeros((*batchsize, nse), dtype=dtype, device=device)
2022-09-06T15:44:22.3931307Z     >>> �[2m484�[0m  |�[33m        for batch_index in itertools.product(*(map(list, map(range, batchsize)))):
2022-09-06T15:44:22.3931798Z �[0m        �[2m485�[0m  |            # workaround RuntimeError: Conversion from SparseCsr to SparseCsc is currently not supported:
2022-09-06T15:44:22.3932210Z         �[2m486�[0m  |            csr = input[batch_index].transpose(dim0, dim1)
2022-09-06T15:44:22.3932680Z         �[2m487�[0m  |            csr = torch.sparse_csc_tensor(csr.crow_indices(), csr.col_indices(), csr.values(), (nrows, ncols)).to_sparse_csr()
2022-09-06T15:44:22.3932897Z 
2022-09-06T15:44:22.3932902Z 
2022-09-06T15:44:22.3933120Z �[1m�[36mYou can reproduce these results locally by using `lintrunner`.�[0m
2022-09-06T15:44:22.3933551Z �[1m�[36mSee https://github.com/pytorch/pytorch/wiki/lintrunner for setup instructions.�[0m
2022-09-06T15:44:22.3945273Z ##[error]Process completed with exit code 1.
2022-09-06T15:44:22.3978887Z ##[group]Run # Use jq to massage the JSON lint output into GitHub Actions workflow commands.
2022-09-06T15:44:22.3979281Z �[36;1m# Use jq to massage the JSON lint output into GitHub Actions workflow commands.�[0m
2022-09-06T15:44:22.3979565Z �[36;1mjq --raw-output \�[0m

pull / linux-bionic-py3.7-clang9 / test (default, 1, 2, linux.2xlarge) (2/9)

Step: "Test" (full log | diagnosis details)

2022-09-06T16:02:26.1739224Z RuntimeError: test_sparse_csr failed!

2022-09-06T16:02:25.3356876Z 
2022-09-06T16:02:25.3356959Z Generating XML reports...
2022-09-06T16:02:25.5296995Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRCPU-20220906160159.xml
2022-09-06T16:02:25.5298134Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRSampler-20220906160159.xml
2022-09-06T16:02:25.7057440Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCompressedCPU-20220906160159.xml
2022-09-06T16:02:26.1733314Z Traceback (most recent call last):
2022-09-06T16:02:26.1733782Z   File "test/run_test.py", line 1104, in <module>
2022-09-06T16:02:26.1736389Z     main()
2022-09-06T16:02:26.1736734Z   File "test/run_test.py", line 1082, in main
2022-09-06T16:02:26.1738856Z     raise RuntimeError(err_message)
2022-09-06T16:02:26.1739224Z RuntimeError: test_sparse_csr failed!
2022-09-06T16:02:26.4880310Z 
2022-09-06T16:02:26.4880763Z real	5m13.688s
2022-09-06T16:02:26.4881149Z user	9m55.595s
2022-09-06T16:02:26.4881387Z sys	2m59.281s
2022-09-06T16:02:26.4919997Z ##[error]Process completed with exit code 1.
2022-09-06T16:02:26.4989940Z Prepare all required actions
2022-09-06T16:02:26.4990322Z Getting action download info
2022-09-06T16:02:26.7322824Z ##[group]Run ./.github/actions/get-workflow-job-id
2022-09-06T16:02:26.7323045Z with:
2022-09-06T16:02:26.7323389Z   github-token: ***

pull / linux-bionic-py3.7-clang9 / test (dynamo, 2, 2, linux.2xlarge) (3/9)

Step: "Test" (full log | diagnosis details)

2022-09-06T16:05:20.9254748Z AssertionError: unsafe constant torch.sparse_bsc

2022-09-06T16:05:20.8701059Z   test_invalid_input_SparseCSR_target_validate_sparse_compressed_tensor_args_cpu (__main__.TestSparseCompressedCPU) ... ok (0.058s)
2022-09-06T16:05:20.8737565Z   test_layout_SparseBSC_cpu (__main__.TestSparseCompressedCPU) ... ok (0.003s)
2022-09-06T16:05:20.8750193Z   test_layout_SparseBSR_cpu (__main__.TestSparseCompressedCPU) ... ok (0.001s)
2022-09-06T16:05:20.8761885Z   test_layout_SparseCSC_cpu (__main__.TestSparseCompressedCPU) ... ok (0.001s)
2022-09-06T16:05:20.8773261Z   test_layout_SparseCSR_cpu (__main__.TestSparseCompressedCPU) ... ok (0.001s)
2022-09-06T16:05:20.9252866Z   test_print_SparseBSC_cpu (__main__.TestSparseCompressedCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_print test_sparse_csr.py line 441 
2022-09-06T16:05:20.9253399Z due to: 
2022-09-06T16:05:20.9253748Z Traceback (most recent call last):
2022-09-06T16:05:20.9254176Z   File "/var/lib/jenkins/torchdynamo/torchdynamo/codegen.py", line 238, in create_load_const
2022-09-06T16:05:20.9254486Z     assert is_safe_constant(value), f"unsafe constant {value}"
2022-09-06T16:05:20.9254748Z AssertionError: unsafe constant torch.sparse_bsc
2022-09-06T16:05:20.9254898Z 
2022-09-06T16:05:20.9255037Z Set torchdynamo.config.verbose=True for more information
2022-09-06T16:05:20.9255259Z ==========
2022-09-06T16:05:21.0326306Z ok (0.155s)
2022-09-06T16:05:21.1412273Z   test_print_SparseBSR_cpu (__main__.TestSparseCompressedCPU) ... ok (0.108s)
2022-09-06T16:05:21.1749965Z   test_print_SparseCSC_cpu (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2022-09-06T16:05:21.2084604Z   test_print_SparseCSR_cpu (__main__.TestSparseCompressedCPU) ... ok (0.033s)
2022-09-06T16:05:21.2141042Z   test_sparse_compressed_constructor_____from_list_SparseBSC_cpu_bfloat16 (__main__.TestSparseCompressedCPU) ... torchdynamo.convert_frame: [ERROR] WON'T CONVERT test_sparse_compressed_constructor test_sparse_csr.py line 339 
2022-09-06T16:05:21.2141636Z due to: 
2022-09-06T16:05:21.2141848Z Traceback (most recent call last):

pull / linux-focal-py3.7-clang7-asan / test (default, 5, 5, linux.2xlarge) (4/9)

Step: "Test" (full log | diagnosis details)

2022-09-06T16:00:11.9327799Z RuntimeError: test_sparse_csr failed!

2022-09-06T16:00:10.6476030Z 
2022-09-06T16:00:10.6476113Z Generating XML reports...
2022-09-06T16:00:10.8816154Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRCPU-20220906155856.xml
2022-09-06T16:00:10.8818213Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRSampler-20220906155856.xml
2022-09-06T16:00:11.0837807Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCompressedCPU-20220906155856.xml
2022-09-06T16:00:11.9319470Z Traceback (most recent call last):
2022-09-06T16:00:11.9319754Z   File "test/run_test.py", line 1104, in <module>
2022-09-06T16:00:11.9323506Z     main()
2022-09-06T16:00:11.9323711Z   File "test/run_test.py", line 1082, in main
2022-09-06T16:00:11.9327498Z     raise RuntimeError(err_message)
2022-09-06T16:00:11.9327799Z RuntimeError: test_sparse_csr failed!
2022-09-06T16:00:12.6049964Z 
2022-09-06T16:00:12.6050405Z real	1m26.435s
2022-09-06T16:00:12.6050779Z user	1m21.747s
2022-09-06T16:00:12.6051043Z sys	0m4.066s
2022-09-06T16:00:12.6089297Z ##[error]Process completed with exit code 1.
2022-09-06T16:00:12.6135595Z Prepare all required actions
2022-09-06T16:00:12.6135903Z Getting action download info
2022-09-06T16:00:12.8152562Z ##[group]Run ./.github/actions/get-workflow-job-id
2022-09-06T16:00:12.8152789Z with:
2022-09-06T16:00:12.8153128Z   github-token: ***

pull / linux-bionic-cuda11.6-py3.10-gcc7 / test (default, 2, 4, linux.4xlarge.nvidia.gpu) (5/9)

Step: "Test" (full log | diagnosis details)

2022-09-06T16:47:21.3864249Z RuntimeError: test_sparse_csr failed!

2022-09-06T16:47:20.2410408Z 
2022-09-06T16:47:20.2410539Z Generating XML reports...
2022-09-06T16:47:20.4884480Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRCUDA-20220906164626.xml
2022-09-06T16:47:20.4887148Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRSampler-20220906164626.xml
2022-09-06T16:47:20.7149840Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCompressedCUDA-20220906164626.xml
2022-09-06T16:47:21.3858088Z Traceback (most recent call last):
2022-09-06T16:47:21.3858946Z   File "/var/lib/jenkins/workspace/test/run_test.py", line 1104, in <module>
2022-09-06T16:47:21.3859558Z     main()
2022-09-06T16:47:21.3860184Z   File "/var/lib/jenkins/workspace/test/run_test.py", line 1082, in main
2022-09-06T16:47:21.3863610Z     raise RuntimeError(err_message)
2022-09-06T16:47:21.3864249Z RuntimeError: test_sparse_csr failed!
2022-09-06T16:47:21.6788559Z 
2022-09-06T16:47:21.6789178Z real	36m12.566s
2022-09-06T16:47:21.6789750Z user	35m4.697s
2022-09-06T16:47:21.6790040Z sys	1m17.125s
2022-09-06T16:47:21.6845212Z ##[error]Process completed with exit code 1.
2022-09-06T16:47:21.6889103Z Prepare all required actions
2022-09-06T16:47:21.6889543Z Getting action download info
2022-09-06T16:47:21.9083539Z ##[group]Run ./.github/actions/get-workflow-job-id
2022-09-06T16:47:21.9083857Z with:
2022-09-06T16:47:21.9084351Z   github-token: ***

pull / win-vs2019-cpu-py3 / test (default, 2, 2, windows.4xlarge) (6/9)

Step: "Test" (full log | diagnosis details)

2022-09-06T17:06:34.3156250Z RuntimeError: test_sparse_csr failed!

2022-09-06T17:06:33.3607311Z 
2022-09-06T17:06:33.3607404Z Generating XML reports...
2022-09-06T17:06:33.4875783Z Generated XML report: test-reports\python-unittest\test_sparse_csr\TEST-TestSparseCSRCPU-20220906170610.xml
2022-09-06T17:06:33.4890817Z Generated XML report: test-reports\python-unittest\test_sparse_csr\TEST-TestSparseCSRSampler-20220906170610.xml
2022-09-06T17:06:33.8030430Z Generated XML report: test-reports\python-unittest\test_sparse_csr\TEST-TestSparseCompressedCPU-20220906170610.xml
2022-09-06T17:06:34.3133653Z Traceback (most recent call last):
2022-09-06T17:06:34.3134087Z   File "C:\actions-runner\_work\pytorch\pytorch\test\run_test.py", line 1104, in <module>
2022-09-06T17:06:34.3151455Z     main()
2022-09-06T17:06:34.3151781Z   File "C:\actions-runner\_work\pytorch\pytorch\test\run_test.py", line 1082, in main
2022-09-06T17:06:34.3155991Z     raise RuntimeError(err_message)
2022-09-06T17:06:34.3156250Z RuntimeError: test_sparse_csr failed!
2022-09-06T17:06:34.6077831Z 
2022-09-06T17:06:34.6078561Z (base) C:\actions-runner\_work\pytorch\pytorch\test>if ERRORLEVEL 1 goto fail 
2022-09-06T17:06:34.6081382Z 
2022-09-06T17:06:34.6081743Z (base) C:\actions-runner\_work\pytorch\pytorch\test>exit /b 1 
2022-09-06T17:06:34.6153309Z ##[error]Process completed with exit code 1.
2022-09-06T17:06:34.6315993Z Prepare all required actions
2022-09-06T17:06:34.6316616Z Getting action download info
2022-09-06T17:06:34.7997410Z Download action repository 'nick-fields/retry@7d4a37704547a311dbb66ebdf5b23ec19374a767' (SHA:7d4a37704547a311dbb66ebdf5b23ec19374a767)
2022-09-06T17:06:35.1318866Z ##[group]Run ./.github/actions/get-workflow-job-id
2022-09-06T17:06:35.1319096Z with:

pull / linux-focal-py3.7-gcc7 / test (default, 1, 2, linux.2xlarge) (7/9)

Step: "Test" (full log | diagnosis details)

2022-09-06T16:05:37.2007089Z RuntimeError: test_sparse_csr failed!

2022-09-06T16:05:36.3180144Z 
2022-09-06T16:05:36.3180274Z Generating XML reports...
2022-09-06T16:05:36.5191104Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRCPU-20220906160508.xml
2022-09-06T16:05:36.5192837Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRSampler-20220906160508.xml
2022-09-06T16:05:36.6940730Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCompressedCPU-20220906160508.xml
2022-09-06T16:05:37.2003200Z Traceback (most recent call last):
2022-09-06T16:05:37.2003471Z   File "test/run_test.py", line 1104, in <module>
2022-09-06T16:05:37.2004655Z     main()
2022-09-06T16:05:37.2004924Z   File "test/run_test.py", line 1082, in main
2022-09-06T16:05:37.2006830Z     raise RuntimeError(err_message)
2022-09-06T16:05:37.2007089Z RuntimeError: test_sparse_csr failed!
2022-09-06T16:05:37.5357617Z 
2022-09-06T16:05:37.5357992Z real	9m26.933s
2022-09-06T16:05:37.5358367Z user	13m22.179s
2022-09-06T16:05:37.5358685Z sys	0m3.437s
2022-09-06T16:05:37.5397641Z ##[error]Process completed with exit code 1.
2022-09-06T16:05:37.5451113Z Prepare all required actions
2022-09-06T16:05:37.5451433Z Getting action download info
2022-09-06T16:05:37.7373492Z ##[group]Run ./.github/actions/get-workflow-job-id
2022-09-06T16:05:37.7373811Z with:
2022-09-06T16:05:37.7374142Z   github-token: ***

pull / linux-bionic-cuda11.6-py3.10-gcc7 / test (default, 1, 4, linux.4xlarge.nvidia.gpu) (8/9)

Step: "Test" (full log | diagnosis details)

2022-09-06T16:11:29.3821425Z FAIL [0.095s]: tes..._sparse_csr_bmm_cuda_float64 (__main__.TestMMCUDA)

2022-09-06T16:11:29.3816843Z     result = test(self, **param_kwargs)
2022-09-06T16:11:29.3817199Z   File "/var/lib/jenkins/workspace/test/test_mm.py", line 217, in wrap
2022-09-06T16:11:29.3817593Z     test(self, layout, device, dtype, op, sample_inputs_generator())
2022-09-06T16:11:29.3818185Z   File "/opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 815, in test_wrapper
2022-09-06T16:11:29.3818572Z     return test(*args, **kwargs)
2022-09-06T16:11:29.3818943Z   File "/var/lib/jenkins/workspace/test/test_mm.py", line 253, in test_reference_and_support
2022-09-06T16:11:29.3819367Z     with self.assertRaisesRegex(exc_type, exc_message):
2022-09-06T16:11:29.3820227Z AssertionError: "false INTERNAL ASSERT FAILED at "../aten/src/ATen/cuda/CUDASparseDescriptors.cpp":187, please report a bug to PyTorch. Support for batched CSR indices and values is not implemented." does not match "false INTERNAL ASSERT FAILED at "/var/lib/jenkins/workspace/aten/src/ATen/cuda/CUDASparseDescriptors.cpp":189, please report a bug to PyTorch. Support for batched CSR indices and values is not implemented."
2022-09-06T16:11:29.3820921Z 
2022-09-06T16:11:29.3821045Z ======================================================================
2022-09-06T16:11:29.3821425Z FAIL [0.095s]: test_reference_and_support_sparse_csr_bmm_cuda_float64 (__main__.TestMMCUDA)
2022-09-06T16:11:29.3821857Z Compare op results against reference implementation. In the case of
2022-09-06T16:11:29.3822350Z ----------------------------------------------------------------------
2022-09-06T16:11:29.3823026Z RuntimeError: false INTERNAL ASSERT FAILED at "/var/lib/jenkins/workspace/aten/src/ATen/cuda/CUDASparseDescriptors.cpp":189, please report a bug to PyTorch. Support for batched CSR indices and values is not implemented.
2022-09-06T16:11:29.3823464Z 
2022-09-06T16:11:29.3823665Z During handling of the above exception, another exception occurred:
2022-09-06T16:11:29.3823899Z 
2022-09-06T16:11:29.3824039Z Traceback (most recent call last):
2022-09-06T16:11:29.3824572Z   File "/opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1940, in wrapper
2022-09-06T16:11:29.3824942Z     method(*args, **kwargs)
2022-09-06T16:11:29.3825486Z   File "/opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 378, in instantiated_test

pull / linux-bionic-py3.7-clang9 / test (crossref, 1, 2, linux.2xlarge) (9/9)

Step: "Test" (full log | diagnosis details)

2022-09-06T16:25:01.0222006Z RuntimeError: test_sparse_csr failed!

2022-09-06T16:25:00.1783165Z 
2022-09-06T16:25:00.1783252Z Generating XML reports...
2022-09-06T16:25:00.3725494Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRCPU-20220906162424.xml
2022-09-06T16:25:00.3728247Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRSampler-20220906162424.xml
2022-09-06T16:25:00.5467259Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCompressedCPU-20220906162424.xml
2022-09-06T16:25:01.0216631Z Traceback (most recent call last):
2022-09-06T16:25:01.0216925Z   File "test/run_test.py", line 1104, in <module>
2022-09-06T16:25:01.0219327Z     main()
2022-09-06T16:25:01.0219546Z   File "test/run_test.py", line 1082, in main
2022-09-06T16:25:01.0221761Z     raise RuntimeError(err_message)
2022-09-06T16:25:01.0222006Z RuntimeError: test_sparse_csr failed!
2022-09-06T16:25:01.3424695Z 
2022-09-06T16:25:01.3425153Z real	27m37.060s
2022-09-06T16:25:01.3425486Z user	62m28.020s
2022-09-06T16:25:01.3425708Z sys	1m40.300s
2022-09-06T16:25:01.3467749Z ##[error]Process completed with exit code 1.
2022-09-06T16:25:01.3508111Z Prepare all required actions
2022-09-06T16:25:01.3508424Z Getting action download info
2022-09-06T16:25:01.6046112Z ##[group]Run ./.github/actions/get-workflow-job-id
2022-09-06T16:25:01.6046339Z with:
2022-09-06T16:25:01.6046681Z   github-token: ***

🕵️‍♀️ 1 failure not recognized by patterns:

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…ples. ghstack-source-id: ba3551fff0a10ea3cf14d77212956c27d94db098 Pull Request resolved: #84572

mruberry · 2022-09-08T17:51:51Z

test/test_mm.py

+Test bmm operation on tensors with various layouts.
+"""
+
+import torch


testing changes look OK. @cpuhrsch is probably the best principal reviewer for this, but I'm not sure we want to add a new test file, especially not one with such a generic name

cpuhrsch · 2022-09-08T19:47:00Z

There should be existing tests for mm. My hope was that we could extend those with additional sparse inputs. @pearu is that feasible?

…and CSC samples." [ghstack-poisoned]

pytorch-bot · 2022-09-11T22:04:43Z

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❌ 2 Failures

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…and CSC samples." [ghstack-poisoned]

…ples. ghstack-source-id: 16e41eff278bb4b2fd3566ce1cf58375668cf4c0 Pull Request resolved: #84572

…and CSC samples." [ghstack-poisoned]

…ples. ghstack-source-id: 2ef5f2ff9d7c587ebe5fb754869d8def58c7c70e Pull Request resolved: #84572

…and CSC samples." [ghstack-poisoned]

…ples. ghstack-source-id: b247e93df1986671f0d851265b8ed2501140d336 Pull Request resolved: #84572

facebook-github-bot · 2022-10-04T00:26:56Z

/easycla

As part of the transition to the PyTorch Foundation, this project now requires contributions be covered under the new CLA. See #85559 for additional details.

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linux-foundation-easycla · 2022-10-04T00:27:03Z

❌ - login: @pearu / name: Pearu Peterson . The commit (3e85a6c, 2ede0ce, c2c4553, bcb3433, 4e3a36c, d45fa0f, 2363e23) is not authorized under a signed CLA. Please click here to be authorized. For further assistance with EasyCLA, please submit a support request ticket.

github-actions · 2022-12-03T03:34:36Z

Looks like this PR hasn't been updated in a while so we're going to go ahead and mark this as Stale.
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Opinfo based testing of torch.bmm with Strided, COO, CSR, and CSC sam…

3e85a6c

…ples. [ghstack-poisoned]

pearu requested review from mruberry and ngimel as code owners September 6, 2022 15:35

pytorch-bot bot added the release notes: sparse release notes category label Sep 6, 2022

facebook-github-bot added the cla signed label Sep 6, 2022

pearu added a commit that referenced this pull request Sep 6, 2022

Opinfo based testing of torch.bmm with Strided, COO, CSR, and CSC sam…

1e3947e

…ples. ghstack-source-id: ba3551fff0a10ea3cf14d77212956c27d94db098 Pull Request resolved: #84572

pearu requested a review from cpuhrsch September 6, 2022 15:36

pytorchbot added the open source label Sep 6, 2022

mruberry reviewed Sep 8, 2022

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Update on "Opinfo based testing of torch.bmm with Strided, COO, CSR, …

2ede0ce

…and CSC samples." [ghstack-poisoned]

pearu mentioned this pull request Sep 11, 2022

Support different NSE in batches of CSR and CSC tensors #84843

Draft

Update on "Opinfo based testing of torch.bmm with Strided, COO, CSR, …

c2c4553

…and CSC samples." [ghstack-poisoned]

pearu added a commit that referenced this pull request Sep 11, 2022

Opinfo based testing of torch.bmm with Strided, COO, CSR, and CSC sam…

554d62a

…ples. ghstack-source-id: 16e41eff278bb4b2fd3566ce1cf58375668cf4c0 Pull Request resolved: #84572

Update on "Opinfo based testing of torch.bmm with Strided, COO, CSR, …

bcb3433

…and CSC samples." [ghstack-poisoned]

Update on "Opinfo based testing of torch.bmm with Strided, COO, CSR, …

4e3a36c

…and CSC samples." [ghstack-poisoned]

pearu added a commit that referenced this pull request Sep 12, 2022

Opinfo based testing of torch.bmm with Strided, COO, CSR, and CSC sam…

f0dfbfb

…ples. ghstack-source-id: 2ef5f2ff9d7c587ebe5fb754869d8def58c7c70e Pull Request resolved: #84572

Update on "Opinfo based testing of torch.bmm with Strided, COO, CSR, …

d45fa0f

…and CSC samples." [ghstack-poisoned]

Update on "Opinfo based testing of torch.bmm with Strided, COO, CSR, …

2363e23

…and CSC samples." [ghstack-poisoned]

pearu added a commit that referenced this pull request Sep 12, 2022

Opinfo based testing of torch.bmm with Strided, COO, CSR, and CSC sam…

ee53f49

…ples. ghstack-source-id: b247e93df1986671f0d851265b8ed2501140d336 Pull Request resolved: #84572

github-actions bot added the Stale label Dec 3, 2022

github-actions bot closed this Jan 2, 2023

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Opinfo based testing of torch.bmm with Strided, COO, CSR, and CSC samples. #84572

Opinfo based testing of torch.bmm with Strided, COO, CSR, and CSC samples. #84572

pearu commented Sep 6, 2022 •

edited

facebook-github-bot commented Sep 6, 2022 •

edited

🕵️ 9 new failures recognized by patterns

Lint / lintrunner (1/9)

pull / linux-bionic-py3.7-clang9 / test (default, 1, 2, linux.2xlarge) (2/9)

pull / linux-bionic-py3.7-clang9 / test (dynamo, 2, 2, linux.2xlarge) (3/9)

pull / linux-focal-py3.7-clang7-asan / test (default, 5, 5, linux.2xlarge) (4/9)

pull / linux-bionic-cuda11.6-py3.10-gcc7 / test (default, 2, 4, linux.4xlarge.nvidia.gpu) (5/9)

pull / win-vs2019-cpu-py3 / test (default, 2, 2, windows.4xlarge) (6/9)

pull / linux-focal-py3.7-gcc7 / test (default, 1, 2, linux.2xlarge) (7/9)

pull / linux-bionic-cuda11.6-py3.10-gcc7 / test (default, 1, 4, linux.4xlarge.nvidia.gpu) (8/9)

pull / linux-bionic-py3.7-clang9 / test (crossref, 1, 2, linux.2xlarge) (9/9)

🕵️‍♀️ 1 failure not recognized by patterns:

mruberry Sep 8, 2022

cpuhrsch commented Sep 8, 2022

pytorch-bot bot commented Sep 11, 2022 •

edited

facebook-github-bot commented Oct 4, 2022

linux-foundation-easycla bot commented Oct 4, 2022

github-actions bot commented Dec 3, 2022

Opinfo based testing of torch.bmm with Strided, COO, CSR, and CSC samples. #84572

Opinfo based testing of torch.bmm with Strided, COO, CSR, and CSC samples. #84572

Conversation

pearu commented Sep 6, 2022 • edited

facebook-github-bot commented Sep 6, 2022 • edited

🔗 Helpful links

❌ 10 New Failures

🕵️ 9 new failures recognized by patterns

Lint / lintrunner (1/9)

pull / linux-bionic-py3.7-clang9 / test (default, 1, 2, linux.2xlarge) (2/9)

pull / linux-bionic-py3.7-clang9 / test (dynamo, 2, 2, linux.2xlarge) (3/9)

pull / linux-focal-py3.7-clang7-asan / test (default, 5, 5, linux.2xlarge) (4/9)

pull / linux-bionic-cuda11.6-py3.10-gcc7 / test (default, 2, 4, linux.4xlarge.nvidia.gpu) (5/9)

pull / win-vs2019-cpu-py3 / test (default, 2, 2, windows.4xlarge) (6/9)

pull / linux-focal-py3.7-gcc7 / test (default, 1, 2, linux.2xlarge) (7/9)

pull / linux-bionic-cuda11.6-py3.10-gcc7 / test (default, 1, 4, linux.4xlarge.nvidia.gpu) (8/9)

pull / linux-bionic-py3.7-clang9 / test (crossref, 1, 2, linux.2xlarge) (9/9)

🕵️‍♀️ 1 failure not recognized by patterns:

mruberry Sep 8, 2022

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pytorch-bot bot commented Sep 11, 2022 • edited

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/84572

❌ 2 Failures

facebook-github-bot commented Oct 4, 2022

linux-foundation-easycla bot commented Oct 4, 2022

github-actions bot commented Dec 3, 2022

pearu commented Sep 6, 2022 •

edited

facebook-github-bot commented Sep 6, 2022 •

edited

pytorch-bot bot commented Sep 11, 2022 •

edited