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cdead5ace1
Summary: Changes in this PR: 1. Intermediate Docker image is shared from build stage to test stage through ECR, in order to fix the Caffe2 flaky CUDA tests. 2. There are ~7 Caffe2 operator tests that are only flaky in `caffe2_py2_gcc4_8_ubuntu14_04_test` on CPU. Disabling those tests on that config only, which is okay to do because we are still running those tests in other test jobs. After this PR is merged, CircleCI will be running on master automatically, and will be running on PRs if the author rebased their PR onto the newest master (which we will ask all the authors to do when we switch off Jenkins for Linux). Pull Request resolved: https://github.com/pytorch/pytorch/pull/12389 Differential Revision: D10224267 Pulled By: yf225 fbshipit-source-id: dd1a90a425c3d13b870d3d328cb301eee2e6e2cd
56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
import argparse
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import os.path
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import tempfile
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import unittest
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import torch
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from torch import ops
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from model import Model, get_custom_op_library_path
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class TestCustomOperators(unittest.TestCase):
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def setUp(self):
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self.library_path = get_custom_op_library_path()
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ops.load_library(self.library_path)
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def test_custom_library_is_loaded(self):
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self.assertIn(self.library_path, ops.loaded_libraries)
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def test_calling_custom_op(self):
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output = ops.custom.op(torch.ones(5), 2.0, 3)
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self.assertEqual(type(output), list)
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self.assertEqual(len(output), 3)
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for tensor in output:
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self.assertTrue(tensor.allclose(torch.ones(5) * 2))
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output = ops.custom.op_with_defaults(torch.ones(5))
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self.assertEqual(type(output), list)
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self.assertEqual(len(output), 1)
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self.assertTrue(output[0].allclose(torch.ones(5)))
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def test_calling_custom_op_inside_script_module(self):
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model = Model()
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output = model.forward(torch.ones(5))
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self.assertTrue(output.allclose(torch.ones(5) + 1))
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def test_saving_and_loading_script_module_with_custom_op(self):
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model = Model()
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# Ideally we would like to not have to manually delete the file, but NamedTemporaryFile
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# opens the file, and it cannot be opened multiple times in Windows. To support Windows,
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# close the file after creation and try to remove it manually.
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file = tempfile.NamedTemporaryFile(delete=False)
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try:
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file.close()
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model.save(file.name)
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loaded = torch.jit.load(file.name)
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finally:
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os.unlink(file.name)
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output = loaded.forward(torch.ones(5))
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self.assertTrue(output.allclose(torch.ones(5) + 1))
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if __name__ == "__main__":
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unittest.main()
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