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b11d5cd584
This PR fixed all the inductor UT failures for XPU backend on Windows we found in local machine(Due to resource constraints, we have not yet set up a Windows CI pipeline online.) Pull Request resolved: https://github.com/pytorch/pytorch/pull/146481 Approved by: https://github.com/jansel, https://github.com/EikanWang ghstack dependencies: #147347
60 lines
1.5 KiB
Python
60 lines
1.5 KiB
Python
# Owner(s): ["module: inductor"]
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import importlib
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import os
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import sys
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import torch
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importlib.import_module("filelock")
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pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
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sys.path.append(pytorch_test_dir)
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from inductor.test_torchinductor import ( # @manual=fbcode//caffe2/test/inductor:test_inductor-library
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check_model_gpu,
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TestCase,
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)
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# TODO: Remove this file.
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# This is a temporary test case to test the base functionality of first Intel GPU Inductor integration.
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# We are working on reuse and pass the test cases in test/inductor/* step by step.
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# Will remove this file when pass full test in test/inductor/*.
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class XpuBasicTests(TestCase):
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common = check_model_gpu
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device = "xpu"
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def test_add(self):
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def fn(a, b):
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return a + b
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self.common(fn, (torch.rand(2, 3, 16, 16), torch.rand(2, 3, 16, 16)))
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def test_sub(self):
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def fn(a, b):
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return a - b
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self.common(fn, (torch.rand(2, 3, 16, 16), torch.rand(2, 3, 16, 16)))
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def test_mul(self):
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def fn(a, b):
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return a * b
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self.common(fn, (torch.rand(2, 3, 16, 16), torch.rand(2, 3, 16, 16)))
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def test_div(self):
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def fn(a, b):
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return a / b
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self.common(fn, (torch.rand(2, 3, 16, 16), torch.rand(2, 3, 16, 16)))
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if __name__ == "__main__":
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from torch._dynamo.test_case import run_tests
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from torch.testing._internal.inductor_utils import HAS_XPU
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if HAS_XPU:
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run_tests(needs="filelock")
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