Remove CUDA 9.2 and older references from our cmake #65065

janeyx99 · 2021-09-15T15:51:31Z

Removes old CUDA references in our cuda.cmake

pytorch-probot · 2021-09-15T15:51:36Z

CI Flow Status

⚛️ CI Flow

Ruleset - Version: v1
Ruleset - File: https://github.com/janeyx99/pytorch/blob/61bc59389297792c08d6c222b1e9b1fd25e04ee2/.github/generated-ciflow-ruleset.json
PR ciflow labels: ciflow/default,ciflow/cuda

Workflows	Labels (bold enabled)	Status
Triggered Workflows
libtorch-linux-xenial-cuda10.2-py3.6-gcc7	`ciflow/all`, `ciflow/cuda`, `ciflow/libtorch`, `ciflow/linux`	✅ triggered
libtorch-linux-xenial-cuda11.3-py3.6-gcc7	`ciflow/all`, `ciflow/cuda`, `ciflow/libtorch`, `ciflow/linux`	✅ triggered
linux-bionic-cuda10.2-py3.9-gcc7	`ciflow/all`, `ciflow/cuda`, `ciflow/linux`, `ciflow/slow`	✅ triggered
linux-bionic-py3.6-clang9	`ciflow/all`, `ciflow/cpu`, `ciflow/default`, `ciflow/linux`, `ciflow/noarch`, `ciflow/xla`	✅ triggered
linux-bionic-py3.8-gcc9-coverage	`ciflow/all`, `ciflow/coverage`, `ciflow/cpu`, `ciflow/default`, `ciflow/linux`	✅ triggered
linux-xenial-cuda10.2-py3.6-gcc7	`ciflow/all`, `ciflow/cuda`, `ciflow/linux`, `ciflow/slow`	✅ triggered
linux-xenial-cuda11.3-py3.6-gcc7	`ciflow/all`, `ciflow/cuda`, `ciflow/default`, `ciflow/linux`	✅ triggered
linux-xenial-py3.6-gcc5.4	`ciflow/all`, `ciflow/cpu`, `ciflow/default`, `ciflow/linux`	✅ triggered
linux-xenial-py3.6-gcc7-bazel-test	`ciflow/all`, `ciflow/bazel`, `ciflow/cpu`, `ciflow/default`, `ciflow/linux`	✅ triggered
periodic-libtorch-linux-xenial-cuda11.1-py3.6-gcc7	`ciflow/all`, `ciflow/cuda`, `ciflow/libtorch`, `ciflow/linux`, `ciflow/scheduled`	✅ triggered
periodic-linux-xenial-cuda11.1-py3.6-gcc7	`ciflow/all`, `ciflow/cuda`, `ciflow/linux`, `ciflow/scheduled`	✅ triggered
periodic-win-vs2019-cuda11.1-py3	`ciflow/all`, `ciflow/cuda`, `ciflow/scheduled`, `ciflow/win`	✅ triggered
win-vs2019-cpu-py3	`ciflow/all`, `ciflow/cpu`, `ciflow/default`, `ciflow/win`	✅ triggered
win-vs2019-cuda10.2-py3	`ciflow/all`, `ciflow/cuda`, `ciflow/win`	✅ triggered
win-vs2019-cuda11.3-py3	`ciflow/all`, `ciflow/cuda`, `ciflow/default`, `ciflow/win`	✅ triggered
Skipped Workflows
parallelnative-linux-xenial-py3.6-gcc5.4	`ciflow/all`, `ciflow/cpu`, `ciflow/linux`	🚫 skipped
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puretorch-linux-xenial-py3.6-gcc5.4	`ciflow/all`, `ciflow/cpu`, `ciflow/linux`	🚫 skipped

You can add a comment to the PR and tag @pytorchbot with the following commands:

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facebook-github-bot · 2021-09-15T15:51:37Z

🔗 Helpful links

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💊 CI failures summary and remediations

As of commit 61bc593 (more details on the Dr. CI page):

6/6 failures introduced in this PR

🕵️ 6 new failures recognized by patterns

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

linux-bionic-cuda10.2-py3.9-gcc7 / test (distributed, 1, 1, linux.8xlarge.nvidia.gpu) (1/6)

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

2021-09-16T15:54:17.7149669Z RuntimeError: CUDA error: invalid device ordinal

2021-09-16T15:54:17.7139833Z   File "/opt/conda/lib/python3.9/site-packages/torch/distributed/rpc/internal.py", line 204, in _run_function
2021-09-16T15:54:17.7140793Z     result = python_udf.func(*python_udf.args, **python_udf.kwargs)
2021-09-16T15:54:17.7141993Z   File "/opt/conda/lib/python3.9/site-packages/torch/distributed/nn/api/remote_module.py", line 87, in _create_module
2021-09-16T15:54:17.7142866Z     module.to(device)
2021-09-16T15:54:17.7143774Z   File "/opt/conda/lib/python3.9/site-packages/torch/nn/modules/module.py", line 899, in to
2021-09-16T15:54:17.7144530Z     return self._apply(convert)
2021-09-16T15:54:17.7145879Z   File "/opt/conda/lib/python3.9/site-packages/torch/nn/modules/module.py", line 593, in _apply
2021-09-16T15:54:17.7146659Z     param_applied = fn(param)
2021-09-16T15:54:17.7147608Z   File "/opt/conda/lib/python3.9/site-packages/torch/nn/modules/module.py", line 897, in convert
2021-09-16T15:54:17.7148836Z     return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
2021-09-16T15:54:17.7149669Z RuntimeError: CUDA error: invalid device ordinal
2021-09-16T15:54:17.7150637Z CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
2021-09-16T15:54:17.7152081Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
2021-09-16T15:54:17.7152535Z 
2021-09-16T15:54:17.7152782Z 
2021-09-16T15:54:17.8870162Z ok (1.612s)
2021-09-16T15:54:21.4016578Z   test_valid_device (__main__.TensorPipeCudaRemoteModuleTest) ... ok (3.514s)
2021-09-16T15:54:28.6308177Z   test_profiler_remote_cuda (__main__.TensorPipeCudaRpcTest) ... ok (7.229s)
2021-09-16T15:54:30.0414777Z   test_basic_gloo_ckpt_always (__main__.TensorPipePipeWithDDPTest) ... skip (1.410s)
2021-09-16T15:54:31.4521644Z   test_basic_gloo_ckpt_except_last (__main__.TensorPipePipeWithDDPTest) ... skip (1.410s)
2021-09-16T15:54:32.8624144Z   test_basic_gloo_ckpt_never (__main__.TensorPipePipeWithDDPTest) ... skip (1.410s)

linux-xenial-py3.6-gcc5.4 / test (default, 1, 2, linux.2xlarge) (2/6)

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

2021-09-16T15:58:03.8311509Z CONTINUE_THROUGH_ERROR: false

  "cla signed",
  "ciflow/default",
  "ciflow/cuda"
]
2021-09-16T15:58:03.8308476Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3.6-gcc5.4:74e757e8b0cf750d2f91db6aa4c29640abce32ea
2021-09-16T15:58:03.8309628Z   JOB_BASE_NAME: linux-xenial-py3.6-gcc5.4-test
2021-09-16T15:58:03.8310126Z   TEST_CONFIG: default
2021-09-16T15:58:03.8310437Z   SHARD_NUMBER: 1
2021-09-16T15:58:03.8310741Z   NUM_TEST_SHARDS: 2
2021-09-16T15:58:03.8311102Z   PYTORCH_IGNORE_DISABLED_ISSUES: 
2021-09-16T15:58:03.8311509Z   CONTINUE_THROUGH_ERROR: false
2021-09-16T15:58:03.8311847Z   SHM_SIZE: 1g
2021-09-16T15:58:03.8312120Z   PR_NUMBER: 65065
2021-09-16T15:58:03.8312426Z ##[endgroup]
2021-09-16T15:58:17.0078756Z Processing ./dist/torch-1.10.0a0+git8a72595-cp36-cp36m-linux_x86_64.whl
2021-09-16T15:58:17.0354355Z Requirement already satisfied: dataclasses in /opt/conda/lib/python3.6/site-packages (from torch==1.10.0a0+git8a72595) (0.8)
2021-09-16T15:58:17.0358090Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.6/site-packages (from torch==1.10.0a0+git8a72595) (3.10.0.0)
2021-09-16T15:58:17.3121937Z Installing collected packages: torch
2021-09-16T15:58:22.2332101Z Successfully installed torch-1.10.0a0+git8a72595
2021-09-16T15:58:22.3066164Z ++++ dirname .jenkins/pytorch/common.sh
2021-09-16T15:58:22.3072840Z +++ cd .jenkins/pytorch

linux-xenial-cuda11.3-py3.6-gcc7 / test (distributed, 1, 1, linux.8xlarge.nvidia.gpu) (3/6)

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

2021-09-16T16:09:54.8048811Z RuntimeError: Expe...e, but found at least two devices, cuda:0 and cpu!

2021-09-16T16:09:54.7957314Z     return x.cpu() + y.cuda()
2021-09-16T16:09:54.7958098Z RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
2021-09-16T16:09:54.7958705Z 
2021-09-16T16:09:54.8041944Z On WorkerInfo(id=2, name=worker2):
2021-09-16T16:09:54.8043145Z RuntimeError('Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!',)
2021-09-16T16:09:54.8043971Z Traceback (most recent call last):
2021-09-16T16:09:54.8044994Z   File "/opt/conda/lib/python3.6/site-packages/torch/distributed/rpc/internal.py", line 204, in _run_function
2021-09-16T16:09:54.8045949Z     result = python_udf.func(*python_udf.args, **python_udf.kwargs)
2021-09-16T16:09:54.8047167Z   File "/opt/conda/lib/python3.6/site-packages/torch/testing/_internal/distributed/rpc/rpc_test.py", line 5879, in _gpu_add_wrong_gpus
2021-09-16T16:09:54.8048024Z     return x.cpu() + y.cuda()
2021-09-16T16:09:54.8048811Z RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
2021-09-16T16:09:54.8049416Z 
2021-09-16T16:09:55.3977469Z ok (6.227s)
2021-09-16T16:09:57.0170524Z   test_devices_option_mismatch (__main__.TensorPipeTensorPipeAgentCudaRpcTest) ... ok (1.619s)
2021-09-16T16:09:58.6359952Z   test_devices_option_mismatch_reverse (__main__.TensorPipeTensorPipeAgentCudaRpcTest) ... ok (1.619s)
2021-09-16T16:10:05.6621108Z   test_owner_rref_forward_synchronization1 (__main__.TensorPipeTensorPipeAgentCudaRpcTest) ... ok (7.026s)
2021-09-16T16:10:14.8924536Z   test_owner_rref_forward_synchronization2 (__main__.TensorPipeTensorPipeAgentCudaRpcTest) ... ok (9.230s)
2021-09-16T16:10:23.8217400Z   test_owner_rref_forward_synchronization3 (__main__.TensorPipeTensorPipeAgentCudaRpcTest) ... ok (8.929s)
2021-09-16T16:10:30.7505210Z   test_owner_rref_forward_synchronization4 (__main__.TensorPipeTensorPipeAgentCudaRpcTest) ... ok (6.929s)
2021-09-16T16:10:46.9922111Z   test_rref_as_arg_synchronization1 (__main__.TensorPipeTensorPipeAgentCudaRpcTest) ... ok (16.242s)
2021-09-16T16:11:06.5469450Z   test_rref_as_arg_synchronization2 (__main__.TensorPipeTensorPipeAgentCudaRpcTest) ... ok (19.555s)

linux-bionic-cuda10.2-py3.9-gcc7 / test (default, 1, 2, linux.8xlarge.nvidia.gpu) (4/6)

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

2021-09-16T16:25:57.5527679Z AssertionError: can only test a child process

2021-09-16T16:25:57.5510879Z     assert self._parent_pid == os.getpid(), 'can only test a child process'
2021-09-16T16:25:57.5511617Z AssertionError: can only test a child process
2021-09-16T16:25:57.5517382Z Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f9eb86b9700>
2021-09-16T16:25:57.5518358Z Traceback (most recent call last):
2021-09-16T16:25:57.5519416Z   File "/opt/conda/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1328, in __del__
2021-09-16T16:25:57.5522177Z     self._shutdown_workers()
2021-09-16T16:25:57.5523610Z   File "/opt/conda/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1320, in _shutdown_workers
2021-09-16T16:25:57.5524801Z     if w.is_alive():
2021-09-16T16:25:57.5525787Z   File "/opt/conda/lib/python3.9/multiprocessing/process.py", line 160, in is_alive
2021-09-16T16:25:57.5526921Z     assert self._parent_pid == os.getpid(), 'can only test a child process'
2021-09-16T16:25:57.5527679Z AssertionError: can only test a child process
2021-09-16T16:25:59.6019169Z ok (2.227s)
2021-09-16T16:26:02.9170510Z   test_multiprocessing_contexts (__main__.TestDataLoaderPersistentWorkers) ... [W CudaIPCTypes.cpp:15] Producer process has been terminated before all shared CUDA tensors released. See Note [Sharing CUDA tensors]
2021-09-16T16:26:02.9172473Z [W CudaIPCTypes.cpp:15] Producer process has been terminated before all shared CUDA tensors released. See Note [Sharing CUDA tensors]
2021-09-16T16:26:02.9194519Z [W CudaIPCTypes.cpp:15] Producer process has been terminated before all shared CUDA tensors released. See Note [Sharing CUDA tensors]
2021-09-16T16:26:06.2986296Z [W CudaIPCTypes.cpp:15] Producer process has been terminated before all shared CUDA tensors released. See Note [Sharing CUDA tensors]
2021-09-16T16:26:06.2987814Z [W CudaIPCTypes.cpp:15] Producer process has been terminated before all shared CUDA tensors released. See Note [Sharing CUDA tensors]
2021-09-16T16:26:06.2997508Z [W CudaIPCTypes.cpp:15] Producer process has been terminated before all shared CUDA tensors released. See Note [Sharing CUDA tensors]
2021-09-16T16:26:12.9224705Z ok (13.320s)
2021-09-16T16:26:14.0196469Z   test_no_segfault (__main__.TestDataLoaderPersistentWorkers) ... ok (1.097s)
2021-09-16T16:26:14.0226163Z   test_numpy (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s)

linux-xenial-cuda10.2-py3.6-gcc7 / test (default, 1, 2, linux.8xlarge.nvidia.gpu) (5/6)

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

2021-09-16T15:50:25.3460372Z CONTINUE_THROUGH_ERROR: false

  "cla signed",
  "ciflow/default",
  "ciflow/cuda"
]
2021-09-16T15:50:25.3455846Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7:74e757e8b0cf750d2f91db6aa4c29640abce32ea
2021-09-16T15:50:25.3457687Z   JOB_BASE_NAME: linux-xenial-cuda10.2-py3.6-gcc7-test
2021-09-16T15:50:25.3458468Z   TEST_CONFIG: default
2021-09-16T15:50:25.3458898Z   SHARD_NUMBER: 1
2021-09-16T15:50:25.3459328Z   NUM_TEST_SHARDS: 2
2021-09-16T15:50:25.3459836Z   PYTORCH_IGNORE_DISABLED_ISSUES: 
2021-09-16T15:50:25.3460372Z   CONTINUE_THROUGH_ERROR: false
2021-09-16T15:50:25.3460874Z   GPU_FLAG: --gpus all
2021-09-16T15:50:25.3461274Z   SHM_SIZE: 2g
2021-09-16T15:50:25.3461678Z   PR_NUMBER: 65065
2021-09-16T15:50:25.3462084Z ##[endgroup]
2021-09-16T15:50:51.6730210Z Processing ./dist/torch-1.10.0a0+git8a72595-cp36-cp36m-linux_x86_64.whl
2021-09-16T15:50:51.7113552Z Requirement already satisfied: dataclasses in /opt/conda/lib/python3.6/site-packages (from torch==1.10.0a0+git8a72595) (0.8)
2021-09-16T15:50:51.7119189Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.6/site-packages (from torch==1.10.0a0+git8a72595) (3.10.0.0)
2021-09-16T15:50:52.1214788Z Installing collected packages: torch
2021-09-16T15:51:01.8534353Z Successfully installed torch-1.10.0a0+git8a72595
2021-09-16T15:51:01.9559833Z ++++ dirname .jenkins/pytorch/common.sh

linux-xenial-cuda10.2-py3.6-gcc7 / test (multigpu, 1, 1, linux.16xlarge.nvidia.gpu) (6/6)

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

2021-09-16T16:04:47.7298674Z RuntimeError: CUDA error: invalid device ordinal

2021-09-16T16:04:47.7289643Z   File "/opt/conda/lib/python3.6/site-packages/torch/distributed/rpc/internal.py", line 204, in _run_function
2021-09-16T16:04:47.7290598Z     result = python_udf.func(*python_udf.args, **python_udf.kwargs)
2021-09-16T16:04:47.7291776Z   File "/opt/conda/lib/python3.6/site-packages/torch/distributed/nn/api/remote_module.py", line 87, in _create_module
2021-09-16T16:04:47.7292605Z     module.to(device)
2021-09-16T16:04:47.7293474Z   File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 899, in to
2021-09-16T16:04:47.7294230Z     return self._apply(convert)
2021-09-16T16:04:47.7295145Z   File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 593, in _apply
2021-09-16T16:04:47.7295900Z     param_applied = fn(param)
2021-09-16T16:04:47.7296824Z   File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 897, in convert
2021-09-16T16:04:47.7297758Z     return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
2021-09-16T16:04:47.7298674Z RuntimeError: CUDA error: invalid device ordinal
2021-09-16T16:04:47.7299638Z CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
2021-09-16T16:04:47.7300639Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
2021-09-16T16:04:47.7301092Z 
2021-09-16T16:04:47.7301319Z 
2021-09-16T16:04:47.9099223Z ok (1.816s)
2021-09-16T16:04:51.7315158Z   test_valid_device (__main__.TensorPipeCudaRemoteModuleTest) ... ok (3.822s)
2021-09-16T16:04:59.5705089Z   test_profiler_remote_cuda (__main__.TensorPipeCudaRpcTest) ... ok (7.839s)
2021-09-16T16:05:06.7148909Z   test_basic_gloo_ckpt_always (__main__.TensorPipePipeWithDDPTest) ... [W logger.cpp:305] Warning: Cuda time stats are not collected for multi-device modules. (function operator())
2021-09-16T16:05:06.7150833Z [W logger.cpp:305] Warning: Cuda time stats are not collected for multi-device modules. (function operator())
2021-09-16T16:05:07.5005898Z ok (7.930s)

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zhouzhuojie · 2021-09-15T17:11:44Z

@pytorchbot ciflow rerun -l ciflow/cuda

zhouzhuojie · 2021-09-15T17:13:16Z

@janeyx99 I'm trying out cilflow from reviewers' view, adding ciflow/cuda btw

codecov · 2021-09-15T19:11:31Z

Codecov Report

Merging #65065 (61bc593) into master (8800a8b) will increase coverage by 0.00%.
The diff coverage is n/a.

@@           Coverage Diff           @@
##           master   #65065   +/-   ##
=======================================
  Coverage   66.37%   66.38%           
=======================================
  Files         727      727           
  Lines       93571    93571           
=======================================
+ Hits        62109    62116    +7     
+ Misses      31462    31455    -7

facebook-github-bot · 2021-09-16T15:10:28Z

@janeyx99 has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

facebook-github-bot · 2021-09-16T19:56:17Z

@janeyx99 merged this pull request in 9af6fe9.

janeyx99 added the ciflow/win label Sep 15, 2021

pytorch-probot bot added the ciflow/default label Sep 15, 2021

pytorch-probot bot assigned pytorchbot and unassigned pytorchbot Sep 15, 2021

facebook-github-bot added the cla signed label Sep 15, 2021

janeyx99 requested a review from a team September 15, 2021 16:23

pytorch-probot bot added ciflow/cuda and removed ciflow/win labels Sep 15, 2021

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janeyx99 mentioned this pull request Sep 15, 2021

Remove references to CUDA 9.2 #64650

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Remove CUDA 9.2 and older references from our cmake

61bc593

janeyx99 force-pushed the remove-9.2-cmake branch from 71dff33 to 61bc593 Compare September 16, 2021 15:10

pytorch-probot bot assigned pytorchbot and unassigned pytorchbot Sep 16, 2021

malfet approved these changes Sep 16, 2021

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facebook-github-bot closed this in 9af6fe9 Sep 16, 2021

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Remove CUDA 9.2 and older references from our cmake #65065

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💊 CI failures summary and remediations

🕵️ 6 new failures recognized by patterns

linux-bionic-cuda10.2-py3.9-gcc7 / test (distributed, 1, 1, linux.8xlarge.nvidia.gpu) (1/6)

linux-xenial-py3.6-gcc5.4 / test (default, 1, 2, linux.2xlarge) (2/6)

linux-xenial-cuda11.3-py3.6-gcc7 / test (distributed, 1, 1, linux.8xlarge.nvidia.gpu) (3/6)

linux-bionic-cuda10.2-py3.9-gcc7 / test (default, 1, 2, linux.8xlarge.nvidia.gpu) (4/6)

linux-xenial-cuda10.2-py3.6-gcc7 / test (default, 1, 2, linux.8xlarge.nvidia.gpu) (5/6)

linux-xenial-cuda10.2-py3.6-gcc7 / test (multigpu, 1, 1, linux.16xlarge.nvidia.gpu) (6/6)

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