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Enable UFMT on test/test_cuda*.py (#124352)

Browse Source 
Part of: #123062

Ran lintrunner on:

- test/test_cuda.py
- test/test_cuda_expandable_segments.py
- test/test_cuda_multigpu.py
- test/test_cuda_nvml_based_avail.py
- test/test_cuda_primary_ctx.py
- test/test_cuda_sanitizer.py
- test/test_cuda_trace.py

Detail:

```bash
$ lintrunner -a --take UFMT --all-files
ok No lint issues.
Successfully applied all patches.
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/124352
Approved by: https://github.com/ezyang
This commit is contained in:
Yuanhao Ji
2024-04-25 18:31:03 +00:00
committed by PyTorch MergeBot
parent 977dc5593a
commit d5182bb75b
8 changed files with 1612 additions and 786 deletions
Download Patch File Download Diff File Expand all files Collapse all files

41
test/test_cuda_primary_ctx.py
View File

@ -1,15 +1,21 @@
# Owner(s): ["module: cuda"]
import torch
from torch.testing._internal.common_utils import TestCase, run_tests, skipIfRocmVersionLessThan, NoTest
from torch.testing._internal.common_cuda import TEST_CUDA, TEST_MULTIGPU
import sys
import unittest
import torch
from torch.testing._internal.common_cuda import TEST_CUDA, TEST_MULTIGPU
from torch.testing._internal.common_utils import (
NoTest,
run_tests,
skipIfRocmVersionLessThan,
TestCase,
)
# NOTE: this needs to be run in a brand new process
if not TEST_CUDA:
print('CUDA not available, skipping tests', file=sys.stderr)
print("CUDA not available, skipping tests", file=sys.stderr)
TestCase = NoTest # noqa: F811
@ -18,17 +24,21 @@ class TestCudaPrimaryCtx(TestCase):
CTX_ALREADY_CREATED_ERR_MSG = (
"Tests defined in test_cuda_primary_ctx.py must be run in a process "
"where CUDA contexts are never created. Use either run_test.py or add "
"--subprocess to run each test in a different subprocess.")
"--subprocess to run each test in a different subprocess."
)
@skipIfRocmVersionLessThan((4, 4, 21504))
def setUp(self):
for device in range(torch.cuda.device_count()):
# Ensure context has not been created beforehand
self.assertFalse(torch._C._cuda_hasPrimaryContext(device), TestCudaPrimaryCtx.CTX_ALREADY_CREATED_ERR_MSG)
self.assertFalse(
torch._C._cuda_hasPrimaryContext(device),
TestCudaPrimaryCtx.CTX_ALREADY_CREATED_ERR_MSG,
)
@unittest.skipIf(not TEST_MULTIGPU, "only one GPU detected")
def test_str_repr(self):
x = torch.randn(1, device='cuda:1')
x = torch.randn(1, device="cuda:1")
# We should have only created context on 'cuda:1'
self.assertFalse(torch._C._cuda_hasPrimaryContext(0))
@ -43,13 +53,13 @@ class TestCudaPrimaryCtx(TestCase):
@unittest.skipIf(not TEST_MULTIGPU, "only one GPU detected")
def test_copy(self):
x = torch.randn(1, device='cuda:1')
x = torch.randn(1, device="cuda:1")
# We should have only created context on 'cuda:1'
self.assertFalse(torch._C._cuda_hasPrimaryContext(0))
self.assertTrue(torch._C._cuda_hasPrimaryContext(1))
y = torch.randn(1, device='cpu')
y = torch.randn(1, device="cpu")
y.copy_(x)
# We should still have only created context on 'cuda:1'
@ -58,7 +68,7 @@ class TestCudaPrimaryCtx(TestCase):
@unittest.skipIf(not TEST_MULTIGPU, "only one GPU detected")
def test_pin_memory(self):
x = torch.randn(1, device='cuda:1')
x = torch.randn(1, device="cuda:1")
# We should have only created context on 'cuda:1'
self.assertFalse(torch._C._cuda_hasPrimaryContext(0))
@ -70,7 +80,7 @@ class TestCudaPrimaryCtx(TestCase):
self.assertFalse(torch._C._cuda_hasPrimaryContext(0))
self.assertTrue(torch._C._cuda_hasPrimaryContext(1))
x = torch.randn(3, device='cpu').pin_memory()
x = torch.randn(3, device="cpu").pin_memory()
# We should still have only created context on 'cuda:1'
self.assertFalse(torch._C._cuda_hasPrimaryContext(0))
@ -82,19 +92,19 @@ class TestCudaPrimaryCtx(TestCase):
self.assertFalse(torch._C._cuda_hasPrimaryContext(0))
self.assertTrue(torch._C._cuda_hasPrimaryContext(1))
x = torch.randn(3, device='cpu', pin_memory=True)
x = torch.randn(3, device="cpu", pin_memory=True)
# We should still have only created context on 'cuda:1'
self.assertFalse(torch._C._cuda_hasPrimaryContext(0))
self.assertTrue(torch._C._cuda_hasPrimaryContext(1))
x = torch.zeros(3, device='cpu', pin_memory=True)
x = torch.zeros(3, device="cpu", pin_memory=True)
# We should still have only created context on 'cuda:1'
self.assertFalse(torch._C._cuda_hasPrimaryContext(0))
self.assertTrue(torch._C._cuda_hasPrimaryContext(1))
x = torch.empty(3, device='cpu', pin_memory=True)
x = torch.empty(3, device="cpu", pin_memory=True)
# We should still have only created context on 'cuda:1'
self.assertFalse(torch._C._cuda_hasPrimaryContext(0))
@ -106,5 +116,6 @@ class TestCudaPrimaryCtx(TestCase):
self.assertFalse(torch._C._cuda_hasPrimaryContext(0))
self.assertTrue(torch._C._cuda_hasPrimaryContext(1))
if __name__ == '__main__':
if __name__ == "__main__":
run_tests()