mirror of
https://github.com/saymrwulf/pytorch.git
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2255911f8a
This is skipping all the failing tests and add a new master job to test on M1 Pull Request resolved: https://github.com/pytorch/pytorch/pull/82213 Approved by: https://github.com/seemethere, https://github.com/soulitzer, https://github.com/malfet
104 lines
3.2 KiB
Python
104 lines
3.2 KiB
Python
# Owner(s): ["module: cpp-extensions"]
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import os
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import shutil
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import sys
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import unittest
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import torch.testing._internal.common_utils as common
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from torch.testing._internal.common_utils import IS_ARM64
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import torch
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import torch.utils.cpp_extension
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from torch.utils.cpp_extension import CUDA_HOME, ROCM_HOME
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TEST_CUDA = torch.cuda.is_available() and CUDA_HOME is not None
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TEST_CUDNN = False
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TEST_ROCM = torch.cuda.is_available() and torch.version.hip is not None and ROCM_HOME is not None
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if TEST_CUDA and torch.version.cuda is not None: # the skip CUDNN test for ROCm
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CUDNN_HEADER_EXISTS = os.path.isfile(os.path.join(CUDA_HOME, "include/cudnn.h"))
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TEST_CUDNN = (
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TEST_CUDA and CUDNN_HEADER_EXISTS and torch.backends.cudnn.is_available()
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)
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def remove_build_path():
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if sys.platform == "win32":
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# Not wiping extensions build folder because Windows
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return
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default_build_root = torch.utils.cpp_extension.get_default_build_root()
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if os.path.exists(default_build_root):
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shutil.rmtree(default_build_root, ignore_errors=True)
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class TestCppExtensionOpenRgistration(common.TestCase):
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"""Tests Open Device Registration with C++ extensions.
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"""
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def setUp(self):
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super().setUp()
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# cpp extensions use relative paths. Those paths are relative to
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# this file, so we'll change the working directory temporarily
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self.old_working_dir = os.getcwd()
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os.chdir(os.path.dirname(os.path.abspath(__file__)))
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def tearDown(self):
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super().tearDown()
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# return the working directory (see setUp)
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os.chdir(self.old_working_dir)
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@classmethod
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def setUpClass(cls):
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remove_build_path()
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@classmethod
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def tearDownClass(cls):
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remove_build_path()
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@unittest.skipIf(IS_ARM64, "Does not work on arm")
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def test_open_device_registration(self):
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module = torch.utils.cpp_extension.load(
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name="custom_device_extension",
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sources=[
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"cpp_extensions/open_registration_extension.cpp",
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],
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extra_include_paths=["cpp_extensions"],
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extra_cflags=["-g"],
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verbose=True,
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)
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self.assertFalse(module.custom_add_called())
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# create a tensor using our custom device object.
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device = module.custom_device()
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x = torch.empty(4, 4, device=device)
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y = torch.empty(4, 4, device=device)
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# Check that our device is correct.
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self.assertTrue(x.device == device)
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self.assertFalse(x.is_cpu)
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self.assertFalse(module.custom_add_called())
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# calls out custom add kernel, registered to the dispatcher
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z = x + y
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# check that it was called
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self.assertTrue(module.custom_add_called())
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z_cpu = z.to(device='cpu')
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# Check that our cross-device copy correctly copied the data to cpu
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self.assertTrue(z_cpu.is_cpu)
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self.assertFalse(z.is_cpu)
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self.assertTrue(z.device == device)
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self.assertEqual(z, z_cpu)
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z2 = z_cpu + z_cpu
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# None of our CPU operations should call the custom add function.
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self.assertFalse(module.custom_add_called())
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if __name__ == "__main__":
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common.run_tests()
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