temporarily duplicating the stack from #75819 by bdhirsh · Pull Request #75835 · pytorch/pytorch

bdhirsh · 2022-04-14T21:20:38Z

Stack from ghstack:

-> temporarily duplicating the stack from #75819 #75835

and exporting it to fbcode
(not actually landing tis)

and exporting it to fbcode (not actually landing tis) [ghstack-poisoned]

facebook-github-bot · 2022-04-14T21:20:44Z

🔗 Helpful links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/75835
📄 Preview Python docs built from this PR
📄 Preview C++ docs built from this PR
↩️ [fb-only] Re-run with SSH instructions
❓Need help or want to give feedback on the CI? Visit our office hours

💊 CI failures summary and remediations

As of commit cd97d0f (more details on the Dr. CI page):

11/11 failures introduced in this PR

🕵️ 10 new failures recognized by patterns

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

pull / linux-bionic-py3.7-clang9 / test (default, 2, 2, linux.2xlarge) (1/10)

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

2022-04-14T21:42:57.4578741Z FAIL [0.003s]: test_everything (__main__.TestFunctionalization)

2022-04-14T21:42:57.4508009Z   tmp = torch.ones(2)
2022-04-14T21:42:57.4524376Z ok (0.003s)
2022-04-14T21:42:57.4536302Z   test_tensor_list_composite (__main__.TestFunctionalization) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:1254: UserWarning: Note: the functionalization pass encountered an operator (zero_) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterFunctionalization_2.cpp:4344.)
2022-04-14T21:42:57.4538098Z   return torch._C._VariableFunctions.block_diag(tensors)  # type: ignore[attr-defined]
2022-04-14T21:42:57.4553739Z ok (0.003s)
2022-04-14T21:42:57.4565173Z   test_view_inplace (__main__.TestFunctionalization) ... test_functionalization.py:237: UserWarning: Note: the functionalization pass encountered an operator (fill_.Scalar) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterFunctionalization_2.cpp:2391.)
2022-04-14T21:42:57.4566599Z   tmp = torch.ones(4)
2022-04-14T21:42:57.4577656Z ok (0.002s)
2022-04-14T21:42:57.4578044Z 
2022-04-14T21:42:57.4578205Z ======================================================================
2022-04-14T21:42:57.4578741Z FAIL [0.003s]: test_everything (__main__.TestFunctionalization)
2022-04-14T21:42:57.4579290Z ----------------------------------------------------------------------
2022-04-14T21:42:57.4580024Z Traceback (most recent call last):
2022-04-14T21:42:57.4580522Z   File "test_functionalization.py", line 297, in test_everything
2022-04-14T21:42:57.4580982Z     self.assert_functionalization(f, torch.ones(4, 2))
2022-04-14T21:42:57.4581262Z   File "test_functionalization.py", line 92, in assert_functionalization
2022-04-14T21:42:57.4581653Z     self.assertEqual(inpt, torch._from_functional_tensor(input_functional))  # input mutations should still occur
2022-04-14T21:42:57.4582175Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py", line 2193, in assertEqual
2022-04-14T21:42:57.4582449Z     msg=msg,
2022-04-14T21:42:57.4582786Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py", line 1074, in assert_equal
2022-04-14T21:42:57.4583107Z     raise error_metas[0].to_error()

pull / linux-xenial-py3.7-gcc5.4 / test (default, 1, 2, linux.2xlarge) (2/10)

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

2022-04-14T21:34:55.6476714Z FAIL [0.003s]: test_everything (__main__.TestFunctionalization)

2022-04-14T21:34:55.6410857Z   tmp = torch.ones(2)
2022-04-14T21:34:55.6427010Z ok (0.003s)
2022-04-14T21:34:55.6437027Z   test_tensor_list_composite (__main__.TestFunctionalization) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:1254: UserWarning: Note: the functionalization pass encountered an operator (zero_) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterFunctionalization_2.cpp:4344.)
2022-04-14T21:34:55.6437921Z   return torch._C._VariableFunctions.block_diag(tensors)  # type: ignore[attr-defined]
2022-04-14T21:34:55.6453337Z ok (0.003s)
2022-04-14T21:34:55.6463529Z   test_view_inplace (__main__.TestFunctionalization) ... test_functionalization.py:237: UserWarning: Note: the functionalization pass encountered an operator (fill_.Scalar) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterFunctionalization_2.cpp:2391.)
2022-04-14T21:34:55.6464244Z   tmp = torch.ones(4)
2022-04-14T21:34:55.6475587Z ok (0.002s)
2022-04-14T21:34:55.6475786Z 
2022-04-14T21:34:55.6476359Z ======================================================================
2022-04-14T21:34:55.6476714Z FAIL [0.003s]: test_everything (__main__.TestFunctionalization)
2022-04-14T21:34:55.6477291Z ----------------------------------------------------------------------
2022-04-14T21:34:55.6477581Z Traceback (most recent call last):
2022-04-14T21:34:55.6477831Z   File "test_functionalization.py", line 297, in test_everything
2022-04-14T21:34:55.6478235Z     self.assert_functionalization(f, torch.ones(4, 2))
2022-04-14T21:34:55.6478678Z   File "test_functionalization.py", line 92, in assert_functionalization
2022-04-14T21:34:55.6479255Z     self.assertEqual(inpt, torch._from_functional_tensor(input_functional))  # input mutations should still occur
2022-04-14T21:34:55.6479907Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py", line 2193, in assertEqual
2022-04-14T21:34:55.6480184Z     msg=msg,
2022-04-14T21:34:55.6480538Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py", line 1074, in assert_equal
2022-04-14T21:34:55.6480809Z     raise error_metas[0].to_error()

pull / win-vs2019-cpu-py3 / test (default, 2, 2, windows.4xlarge) (3/10)

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

2022-04-14T22:32:40.4025081Z FAIL [0.004s]: test_everything (__main__.TestFunctionalization)

2022-04-14T22:32:40.3947553Z   tmp = torch.ones(2)
2022-04-14T22:32:40.3947731Z ok (0.000s)
2022-04-14T22:32:40.3988070Z   test_tensor_list_composite (__main__.TestFunctionalization) ... C:\actions-runner\_work\pytorch\pytorch\build\win_tmp\build\torch\functional.py:1254: UserWarning: Note: the functionalization pass encountered an operator (zero_) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  C:\actions-runner\_work\pytorch\pytorch\build\aten\src\ATen\RegisterFunctionalization_2.cpp:4344.)
2022-04-14T22:32:40.3989056Z   return torch._C._VariableFunctions.block_diag(tensors)  # type: ignore[attr-defined]
2022-04-14T22:32:40.3989321Z ok (0.000s)
2022-04-14T22:32:40.4023412Z   test_view_inplace (__main__.TestFunctionalization) ... test_functionalization.py:237: UserWarning: Note: the functionalization pass encountered an operator (fill_.Scalar) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  C:\actions-runner\_work\pytorch\pytorch\build\aten\src\ATen\RegisterFunctionalization_2.cpp:2391.)
2022-04-14T22:32:40.4024301Z   tmp = torch.ones(4)
2022-04-14T22:32:40.4024609Z ok (0.016s)
2022-04-14T22:32:40.4024715Z 
2022-04-14T22:32:40.4024818Z ======================================================================
2022-04-14T22:32:40.4025081Z FAIL [0.004s]: test_everything (__main__.TestFunctionalization)
2022-04-14T22:32:40.4025384Z ----------------------------------------------------------------------
2022-04-14T22:32:40.4025653Z Traceback (most recent call last):
2022-04-14T22:32:40.4026302Z   File "test_functionalization.py", line 297, in test_everything
2022-04-14T22:32:40.4026597Z     self.assert_functionalization(f, torch.ones(4, 2))
2022-04-14T22:32:40.4026945Z   File "test_functionalization.py", line 92, in assert_functionalization
2022-04-14T22:32:40.4027331Z     self.assertEqual(inpt, torch._from_functional_tensor(input_functional))  # input mutations should still occur
2022-04-14T22:32:40.4027828Z   File "C:\actions-runner\_work\pytorch\pytorch\build\win_tmp\build\torch\testing\_internal\common_utils.py", line 2160, in assertEqual
2022-04-14T22:32:40.4028168Z     assert_equal(
2022-04-14T22:32:40.4029549Z   File "C:\actions-runner\_work\pytorch\pytorch\build\win_tmp\build\torch\testing\_comparison.py", line 1074, in assert_equal
2022-04-14T22:32:40.4029924Z     raise error_metas[0].to_error()

pull / linux-xenial-py3.7-gcc7 / test (default, 2, 2, linux.2xlarge) (4/10)

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

2022-04-14T21:35:00.6250568Z FAIL [0.003s]: test_everything (__main__.TestFunctionalization)

2022-04-14T21:35:00.6182857Z   tmp = torch.ones(2)
2022-04-14T21:35:00.6198850Z ok (0.003s)
2022-04-14T21:35:00.6209732Z   test_tensor_list_composite (__main__.TestFunctionalization) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:1254: UserWarning: Note: the functionalization pass encountered an operator (zero_) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterFunctionalization_2.cpp:4344.)
2022-04-14T21:35:00.6211289Z   return torch._C._VariableFunctions.block_diag(tensors)  # type: ignore[attr-defined]
2022-04-14T21:35:00.6226176Z ok (0.003s)
2022-04-14T21:35:00.6237509Z   test_view_inplace (__main__.TestFunctionalization) ... test_functionalization.py:237: UserWarning: Note: the functionalization pass encountered an operator (fill_.Scalar) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterFunctionalization_2.cpp:2391.)
2022-04-14T21:35:00.6238756Z   tmp = torch.ones(4)
2022-04-14T21:35:00.6249678Z ok (0.002s)
2022-04-14T21:35:00.6249840Z 
2022-04-14T21:35:00.6250126Z ======================================================================
2022-04-14T21:35:00.6250568Z FAIL [0.003s]: test_everything (__main__.TestFunctionalization)
2022-04-14T21:35:00.6251385Z ----------------------------------------------------------------------
2022-04-14T21:35:00.6251847Z Traceback (most recent call last):
2022-04-14T21:35:00.6255257Z   File "test_functionalization.py", line 297, in test_everything
2022-04-14T21:35:00.6255722Z     self.assert_functionalization(f, torch.ones(4, 2))
2022-04-14T21:35:00.6256223Z   File "test_functionalization.py", line 92, in assert_functionalization
2022-04-14T21:35:00.6256845Z     self.assertEqual(inpt, torch._from_functional_tensor(input_functional))  # input mutations should still occur
2022-04-14T21:35:00.6257340Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py", line 2193, in assertEqual
2022-04-14T21:35:00.6257612Z     msg=msg,
2022-04-14T21:35:00.6257963Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py", line 1074, in assert_equal
2022-04-14T21:35:00.6258251Z     raise error_metas[0].to_error()

pull / linux-bionic-py3.7-clang9 / test (noarch, 1, 1, linux.2xlarge) (5/10)

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

2022-04-14T21:36:36.9548417Z FAIL [0.003s]: test_everything (__main__.TestFunctionalization)

2022-04-14T21:36:36.9475145Z   tmp = torch.ones(2)
2022-04-14T21:36:36.9492019Z ok (0.003s)
2022-04-14T21:36:36.9503646Z   test_tensor_list_composite (__main__.TestFunctionalization) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:1254: UserWarning: Note: the functionalization pass encountered an operator (zero_) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterFunctionalization_2.cpp:4344.)
2022-04-14T21:36:36.9505449Z   return torch._C._VariableFunctions.block_diag(tensors)  # type: ignore[attr-defined]
2022-04-14T21:36:36.9520869Z ok (0.003s)
2022-04-14T21:36:36.9534559Z   test_view_inplace (__main__.TestFunctionalization) ... test_functionalization.py:237: UserWarning: Note: the functionalization pass encountered an operator (fill_.Scalar) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterFunctionalization_2.cpp:2391.)
2022-04-14T21:36:36.9536106Z   tmp = torch.ones(4)
2022-04-14T21:36:36.9547692Z ok (0.003s)
2022-04-14T21:36:36.9547898Z 
2022-04-14T21:36:36.9548041Z ======================================================================
2022-04-14T21:36:36.9548417Z FAIL [0.003s]: test_everything (__main__.TestFunctionalization)
2022-04-14T21:36:36.9548855Z ----------------------------------------------------------------------
2022-04-14T21:36:36.9549128Z Traceback (most recent call last):
2022-04-14T21:36:36.9549531Z   File "test_functionalization.py", line 297, in test_everything
2022-04-14T21:36:36.9550048Z     self.assert_functionalization(f, torch.ones(4, 2))
2022-04-14T21:36:36.9550376Z   File "test_functionalization.py", line 92, in assert_functionalization
2022-04-14T21:36:36.9550744Z     self.assertEqual(inpt, torch._from_functional_tensor(input_functional))  # input mutations should still occur
2022-04-14T21:36:36.9551214Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py", line 2193, in assertEqual
2022-04-14T21:36:36.9551487Z     msg=msg,
2022-04-14T21:36:36.9551835Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py", line 1074, in assert_equal
2022-04-14T21:36:36.9552106Z     raise error_metas[0].to_error()

pull / win-vs2019-cuda11.3-py3 / test (default, 2, 2, windows.8xlarge.nvidia.gpu) (6/10)

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

2022-04-15T01:57:52.0795217Z FAIL [0.005s]: test_everything (__main__.TestFunctionalization)

2022-04-15T01:57:52.0710470Z   tmp = torch.ones(2)
2022-04-15T01:57:52.0710670Z ok (0.000s)
2022-04-15T01:57:52.0755594Z   test_tensor_list_composite (__main__.TestFunctionalization) ... C:\actions-runner\_work\pytorch\pytorch\build\win_tmp\build\torch\functional.py:1254: UserWarning: Note: the functionalization pass encountered an operator (zero_) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  C:\actions-runner\_work\pytorch\pytorch\build\aten\src\ATen\RegisterFunctionalization_2.cpp:4344.)
2022-04-15T01:57:52.0756826Z   return torch._C._VariableFunctions.block_diag(tensors)  # type: ignore[attr-defined]
2022-04-15T01:57:52.0757151Z ok (0.016s)
2022-04-15T01:57:52.0792766Z   test_view_inplace (__main__.TestFunctionalization) ... test_functionalization.py:237: UserWarning: Note: the functionalization pass encountered an operator (fill_.Scalar) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  C:\actions-runner\_work\pytorch\pytorch\build\aten\src\ATen\RegisterFunctionalization_2.cpp:2391.)
2022-04-15T01:57:52.0793984Z   tmp = torch.ones(4)
2022-04-15T01:57:52.0794306Z ok (0.000s)
2022-04-15T01:57:52.0794506Z 
2022-04-15T01:57:52.0794699Z ======================================================================
2022-04-15T01:57:52.0795217Z FAIL [0.005s]: test_everything (__main__.TestFunctionalization)
2022-04-15T01:57:52.0795620Z ----------------------------------------------------------------------
2022-04-15T01:57:52.0795939Z Traceback (most recent call last):
2022-04-15T01:57:52.0806088Z   File "test_functionalization.py", line 297, in test_everything
2022-04-15T01:57:52.0806535Z     self.assert_functionalization(f, torch.ones(4, 2))
2022-04-15T01:57:52.0806975Z   File "test_functionalization.py", line 92, in assert_functionalization
2022-04-15T01:57:52.0807447Z     self.assertEqual(inpt, torch._from_functional_tensor(input_functional))  # input mutations should still occur
2022-04-15T01:57:52.0808075Z   File "C:\actions-runner\_work\pytorch\pytorch\build\win_tmp\build\torch\testing\_internal\common_utils.py", line 2160, in assertEqual
2022-04-15T01:57:52.0808687Z     assert_equal(
2022-04-15T01:57:52.0809145Z   File "C:\actions-runner\_work\pytorch\pytorch\build\win_tmp\build\torch\testing\_comparison.py", line 1074, in assert_equal
2022-04-15T01:57:52.0809594Z     raise error_metas[0].to_error()

pull / win-vs2019-cuda11.3-py3 / test (force_on_cpu, 1, 1, windows.4xlarge) (7/10)

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

2022-04-14T23:03:09.2081328Z FAIL [0.004s]: test_everything (__main__.TestFunctionalization)

2022-04-14T23:03:09.2017741Z   tmp = torch.ones(2)
2022-04-14T23:03:09.2017912Z ok (0.000s)
2022-04-14T23:03:09.2051506Z   test_tensor_list_composite (__main__.TestFunctionalization) ... C:\actions-runner\_work\pytorch\pytorch\build\win_tmp\build\torch\functional.py:1254: UserWarning: Note: the functionalization pass encountered an operator (zero_) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  C:\actions-runner\_work\pytorch\pytorch\build\aten\src\ATen\RegisterFunctionalization_2.cpp:4344.)
2022-04-14T23:03:09.2052422Z   return torch._C._VariableFunctions.block_diag(tensors)  # type: ignore[attr-defined]
2022-04-14T23:03:09.2052681Z ok (0.016s)
2022-04-14T23:03:09.2079888Z   test_view_inplace (__main__.TestFunctionalization) ... test_functionalization.py:237: UserWarning: Note: the functionalization pass encountered an operator (fill_.Scalar) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  C:\actions-runner\_work\pytorch\pytorch\build\aten\src\ATen\RegisterFunctionalization_2.cpp:2391.)
2022-04-14T23:03:09.2080687Z   tmp = torch.ones(4)
2022-04-14T23:03:09.2080878Z ok (0.000s)
2022-04-14T23:03:09.2080978Z 
2022-04-14T23:03:09.2081078Z ======================================================================
2022-04-14T23:03:09.2081328Z FAIL [0.004s]: test_everything (__main__.TestFunctionalization)
2022-04-14T23:03:09.2081615Z ----------------------------------------------------------------------
2022-04-14T23:03:09.2081879Z Traceback (most recent call last):
2022-04-14T23:03:09.2082374Z   File "test_functionalization.py", line 297, in test_everything
2022-04-14T23:03:09.2082676Z     self.assert_functionalization(f, torch.ones(4, 2))
2022-04-14T23:03:09.2082993Z   File "test_functionalization.py", line 92, in assert_functionalization
2022-04-14T23:03:09.2083359Z     self.assertEqual(inpt, torch._from_functional_tensor(input_functional))  # input mutations should still occur
2022-04-14T23:03:09.2083833Z   File "C:\actions-runner\_work\pytorch\pytorch\build\win_tmp\build\torch\testing\_internal\common_utils.py", line 2160, in assertEqual
2022-04-14T23:03:09.2084149Z     assert_equal(
2022-04-14T23:03:09.2085139Z   File "C:\actions-runner\_work\pytorch\pytorch\build\win_tmp\build\torch\testing\_comparison.py", line 1074, in assert_equal
2022-04-14T23:03:09.2085498Z     raise error_metas[0].to_error()

pull / linux-bionic-rocm5.0-py3.7 / test (default, 1, 2, linux.rocm.gpu) (8/10)

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

2022-04-14T23:19:32.1440521Z FAIL [0.003s]: test_everything (__main__.TestFunctionalization)

2022-04-14T23:19:32.1366835Z   tmp = torch.ones(2)
2022-04-14T23:19:32.1387118Z ok (0.003s)
2022-04-14T23:19:32.1397067Z   test_tensor_list_composite (__main__.TestFunctionalization) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:1254: UserWarning: Note: the functionalization pass encountered an operator (zero_) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterFunctionalization_2.cpp:4344.)
2022-04-14T23:19:32.1399480Z   return torch._C._VariableFunctions.block_diag(tensors)  # type: ignore[attr-defined]
2022-04-14T23:19:32.1414592Z ok (0.003s)
2022-04-14T23:19:32.1425850Z   test_view_inplace (__main__.TestFunctionalization) ... test_functionalization.py:237: UserWarning: Note: the functionalization pass encountered an operator (fill_.Scalar) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterFunctionalization_2.cpp:2391.)
2022-04-14T23:19:32.1427728Z   tmp = torch.ones(4)
2022-04-14T23:19:32.1438829Z ok (0.002s)
2022-04-14T23:19:32.1439278Z 
2022-04-14T23:19:32.1439612Z ======================================================================
2022-04-14T23:19:32.1440521Z FAIL [0.003s]: test_everything (__main__.TestFunctionalization)
2022-04-14T23:19:32.1441860Z ----------------------------------------------------------------------
2022-04-14T23:19:32.1442824Z Traceback (most recent call last):
2022-04-14T23:19:32.1443730Z   File "test_functionalization.py", line 297, in test_everything
2022-04-14T23:19:32.1444578Z     self.assert_functionalization(f, torch.ones(4, 2))
2022-04-14T23:19:32.1445332Z   File "test_functionalization.py", line 92, in assert_functionalization
2022-04-14T23:19:32.1446449Z     self.assertEqual(inpt, torch._from_functional_tensor(input_functional))  # input mutations should still occur
2022-04-14T23:19:32.1447827Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py", line 2193, in assertEqual
2022-04-14T23:19:32.1448549Z     msg=msg,
2022-04-14T23:19:32.1449515Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py", line 1074, in assert_equal
2022-04-14T23:19:32.1450374Z     raise error_metas[0].to_error()

pull / linux-xenial-cuda11.3-py3.7-gcc7 / test (default, 2, 2, linux.4xlarge.nvidia.gpu) (9/10)

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

2022-04-14T22:14:22.5870991Z FAIL [0.004s]: test_everything (__main__.TestFunctionalization)

2022-04-14T22:14:22.5770002Z   tmp = torch.ones(2)
2022-04-14T22:14:22.5797181Z ok (0.004s)
2022-04-14T22:14:22.5810793Z   test_tensor_list_composite (__main__.TestFunctionalization) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:1254: UserWarning: Note: the functionalization pass encountered an operator (zero_) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterFunctionalization_2.cpp:4344.)
2022-04-14T22:14:22.5811971Z   return torch._C._VariableFunctions.block_diag(tensors)  # type: ignore[attr-defined]
2022-04-14T22:14:22.5837803Z ok (0.004s)
2022-04-14T22:14:22.5850989Z   test_view_inplace (__main__.TestFunctionalization) ... test_functionalization.py:237: UserWarning: Note: the functionalization pass encountered an operator (fill_.Scalar) that it could not functionalize, because it couldn't find an out-of-place equivalent of the operator to call. Instead, it's calling the inplace/view operator directly. If this causes problems in your program, consider upstreaming the out-of-place op to PyTorch. (Triggered internally at  /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterFunctionalization_2.cpp:2391.)
2022-04-14T22:14:22.5851930Z   tmp = torch.ones(4)
2022-04-14T22:14:22.5870196Z ok (0.003s)
2022-04-14T22:14:22.5870361Z 
2022-04-14T22:14:22.5870501Z ======================================================================
2022-04-14T22:14:22.5870991Z FAIL [0.004s]: test_everything (__main__.TestFunctionalization)
2022-04-14T22:14:22.5871766Z ----------------------------------------------------------------------
2022-04-14T22:14:22.5872117Z Traceback (most recent call last):
2022-04-14T22:14:22.5872460Z   File "test_functionalization.py", line 297, in test_everything
2022-04-14T22:14:22.5872939Z     self.assert_functionalization(f, torch.ones(4, 2))
2022-04-14T22:14:22.5873313Z   File "test_functionalization.py", line 92, in assert_functionalization
2022-04-14T22:14:22.5873782Z     self.assertEqual(inpt, torch._from_functional_tensor(input_functional))  # input mutations should still occur
2022-04-14T22:14:22.5874418Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py", line 2193, in assertEqual
2022-04-14T22:14:22.5877673Z     msg=msg,
2022-04-14T22:14:22.5878304Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py", line 1074, in assert_equal
2022-04-14T22:14:22.5878702Z     raise error_metas[0].to_error()

pull / pytorch-xla-linux-bionic-py3.7-clang8 / test (xla, 1, 1, linux.2xlarge) (10/10)

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

2022-04-14T22:23:23.8385617Z RuntimeError: Erro... 3), stride=(125, 25, 5, 1, 125), storage_offset=0

2022-04-14T22:23:23.8382671Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_device_type.py", line 780, in test_wrapper
2022-04-14T22:23:23.8382969Z     return test(*args, **kwargs)
2022-04-14T22:23:23.8383236Z   File "/var/lib/jenkins/workspace/xla/test/test_ops.py", line 411, in test_reference_eager
2022-04-14T22:23:23.8383536Z     self.compare_with_eager_reference(op, sample_input)
2022-04-14T22:23:23.8383831Z   File "/var/lib/jenkins/workspace/xla/test/test_ops.py", line 402, in compare_with_eager_reference
2022-04-14T22:23:23.8384162Z     self.assertEqual(actual, expected, exact_dtype=True, exact_device=False)
2022-04-14T22:23:23.8384483Z   File "/var/lib/jenkins/workspace/xla/test/pytorch_test_base.py", line 626, in assertEqual
2022-04-14T22:23:23.8384743Z     x, y = self.prepare_for_compare(x, y)
2022-04-14T22:23:23.8385033Z   File "/var/lib/jenkins/workspace/xla/test/pytorch_test_base.py", line 569, in prepare_for_compare
2022-04-14T22:23:23.8385327Z     x = tx.to(device='cpu')
2022-04-14T22:23:23.8385617Z RuntimeError: Error while lowering: [] aten::as_strided, size=(3, 5, 5, 5, 3), stride=(125, 25, 5, 1, 125), storage_offset=0
2022-04-14T22:23:23.8386114Z Error: /var/lib/jenkins/workspace/xla/torch_xla/csrc/ops/as_strided.cpp:26 : Check failed: storage_offset + slice_size <= input_element_count (1125 vs. 625)
2022-04-14T22:23:23.8386429Z *** Begin stack trace ***
2022-04-14T22:23:23.8386651Z 	tensorflow::CurrentStackTrace[abi:cxx11]()
2022-04-14T22:23:23.8386922Z 	torch_xla::ir::ops::AsStrided::Lower(torch_xla::ir::LoweringContext*) const
2022-04-14T22:23:23.8387227Z 	torch_xla::ir::LoweringContext::LowerNode(torch::lazy::Node const*)
2022-04-14T22:23:23.8387860Z 	torch_xla::ir::LoweringContext::LoweringContext(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch_xla::Device, absl::lts_20211102::Span<torch::lazy::Node const* const>, std::unordered_map<torch::lazy::Node const*, torch::lazy::Util::EmitStatus, std::hash<torch::lazy::Node const*>, std::equal_to<torch::lazy::Node const*>, std::allocator<std::pair<torch::lazy::Node const* const, torch::lazy::Util::EmitStatus> > >)
2022-04-14T22:23:23.8388727Z 	torch_xla::XLATensor::Compile(std::vector<torch_xla::XLATensor, std::allocator<torch_xla::XLATensor> > const&, absl::lts_20211102::Span<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const>, torch_xla::XLATensor::SyncTensorCollection const&, torch_xla::XLATensor::PostOrderData*)
2022-04-14T22:23:23.8389515Z 	torch_xla::XLATensor::SyncTensorsGraphInternal(std::vector<torch_xla::XLATensor, std::allocator<torch_xla::XLATensor> >*, absl::lts_20211102::Span<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const>, torch_xla::XLATensor::SyncTensorsConfig const&)
2022-04-14T22:23:23.8390155Z 	torch_xla::XLATensor::SyncTensorsGraph(std::vector<torch_xla::XLATensor, std::allocator<torch_xla::XLATensor> >*, absl::lts_20211102::Span<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const>, bool, bool)
2022-04-14T22:23:23.8390565Z 	torch_xla::XLATensor::ApplyPendingGraph()

🕵️‍♀️ 1 failure not recognized by patterns:

The following CI failures may be due to changes from the PR

Job	Step	Action
^{Lint / lintrunner}	^{Run lintrunner on PR files}	🔁 rerun

This comment was automatically generated by Dr. CI (expand for details).

Please report bugs/suggestions to the (internal) Dr. CI Users group.

Click here to manually regenerate this comment.

and exporting it to fbcode (not actually landing tis) ghstack-source-id: b486c57 Pull Request resolved: #75835

github-actions · 2022-06-17T15:37:51Z

Looks like this PR hasn't been updated in a while so we're going to go ahead and mark this as Stale.
Feel free to remove the Stale label if you feel this was a mistake.
If you are unable to remove the Stale label please contact a maintainer in order to do so.
If you want the bot to never mark this PR stale again, add the no-stale label.
Stale pull requests will automatically be closed after 30 days of inactivity.

temporarily duplicating the stack from #75819

cd97d0f

and exporting it to fbcode (not actually landing tis) [ghstack-poisoned]

bdhirsh requested review from albanD and soulitzer as code owners April 14, 2022 21:20

facebook-github-bot added the cla signed label Apr 14, 2022

bdhirsh added a commit that referenced this pull request Apr 14, 2022

temporarily duplicating the stack from #75819

da1a25d

and exporting it to fbcode (not actually landing tis) ghstack-source-id: b486c57 Pull Request resolved: #75835

bdhirsh added a commit that referenced this pull request Apr 14, 2022

temporarily duplicating the stack from #75819

a2b50b9

and exporting it to fbcode (not actually landing tis) ghstack-source-id: b486c57 Pull Request resolved: #75835

albanD removed their request for review April 18, 2022 14:52

github-actions bot added the Stale label Jun 17, 2022

github-actions bot closed this Jul 17, 2022

facebook-github-bot deleted the gh/bdhirsh/207/head branch August 17, 2022 14:18

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

temporarily duplicating the stack from #75819#75835

temporarily duplicating the stack from #75819#75835
bdhirsh wants to merge 1 commit intogh/bdhirsh/207/basefrom
gh/bdhirsh/207/head

bdhirsh commented Apr 14, 2022 •

edited

Loading

Uh oh!

facebook-github-bot commented Apr 14, 2022 •

edited

Loading

pull / linux-bionic-py3.7-clang9 / test (default, 2, 2, linux.2xlarge) (1/10)

pull / linux-xenial-py3.7-gcc5.4 / test (default, 1, 2, linux.2xlarge) (2/10)

pull / win-vs2019-cpu-py3 / test (default, 2, 2, windows.4xlarge) (3/10)

pull / linux-xenial-py3.7-gcc7 / test (default, 2, 2, linux.2xlarge) (4/10)

pull / linux-bionic-py3.7-clang9 / test (noarch, 1, 1, linux.2xlarge) (5/10)

pull / win-vs2019-cuda11.3-py3 / test (default, 2, 2, windows.8xlarge.nvidia.gpu) (6/10)

pull / win-vs2019-cuda11.3-py3 / test (force_on_cpu, 1, 1, windows.4xlarge) (7/10)

pull / linux-bionic-rocm5.0-py3.7 / test (default, 1, 2, linux.rocm.gpu) (8/10)

pull / linux-xenial-cuda11.3-py3.7-gcc7 / test (default, 2, 2, linux.4xlarge.nvidia.gpu) (9/10)

pull / pytorch-xla-linux-bionic-py3.7-clang8 / test (xla, 1, 1, linux.2xlarge) (10/10)

Uh oh!

github-actions bot commented Jun 17, 2022

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

2 participants

Conversation

bdhirsh commented Apr 14, 2022 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Uh oh!

facebook-github-bot commented Apr 14, 2022 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

🔗 Helpful links

💊 CI failures summary and remediations

🕵️ 10 new failures recognized by patterns

pull / linux-bionic-py3.7-clang9 / test (default, 2, 2, linux.2xlarge) (1/10)

pull / linux-xenial-py3.7-gcc5.4 / test (default, 1, 2, linux.2xlarge) (2/10)

pull / win-vs2019-cpu-py3 / test (default, 2, 2, windows.4xlarge) (3/10)

pull / linux-xenial-py3.7-gcc7 / test (default, 2, 2, linux.2xlarge) (4/10)

pull / linux-bionic-py3.7-clang9 / test (noarch, 1, 1, linux.2xlarge) (5/10)

pull / win-vs2019-cuda11.3-py3 / test (default, 2, 2, windows.8xlarge.nvidia.gpu) (6/10)

pull / win-vs2019-cuda11.3-py3 / test (force_on_cpu, 1, 1, windows.4xlarge) (7/10)

pull / linux-bionic-rocm5.0-py3.7 / test (default, 1, 2, linux.rocm.gpu) (8/10)

pull / linux-xenial-cuda11.3-py3.7-gcc7 / test (default, 2, 2, linux.4xlarge.nvidia.gpu) (9/10)

pull / pytorch-xla-linux-bionic-py3.7-clang8 / test (xla, 1, 1, linux.2xlarge) (10/10)

🕵️‍♀️ 1 failure not recognized by patterns:

Uh oh!

github-actions bot commented Jun 17, 2022

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

2 participants

bdhirsh commented Apr 14, 2022 •

edited

Loading

facebook-github-bot commented Apr 14, 2022 •

edited

Loading