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https://github.com/saymrwulf/pytorch.git
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27c7158166
Summary: There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports: ```2to3 -f future -w caffe2``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033 Reviewed By: seemethere Differential Revision: D23808648 Pulled By: bugra fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38
47 lines
1.3 KiB
Python
47 lines
1.3 KiB
Python
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import unittest
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import hypothesis.strategies as st
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from hypothesis import given, settings, assume
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import numpy as np
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from caffe2.python import core, workspace
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import caffe2.python.hypothesis_test_util as hu
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import caffe2.python.mkl_test_util as mu
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@unittest.skipIf(not workspace.C.has_mkldnn,
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"Skipping as we do not have mkldnn.")
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class MKLPoolTest(hu.HypothesisTestCase):
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@given(stride=st.integers(1, 3),
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pad=st.integers(0, 3),
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kernel=st.integers(3, 5),
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size=st.integers(7, 9),
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input_channels=st.integers(1, 3),
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batch_size=st.integers(1, 3),
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method=st.sampled_from(["MaxPool", "AveragePool"]),
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**mu.gcs)
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@settings(max_examples=2, deadline=100)
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def test_mkl_pooling(self, stride, pad, kernel, size,
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input_channels, batch_size,
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method, gc, dc):
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assume(pad < kernel)
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op = core.CreateOperator(
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method,
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["X"],
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["Y"],
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stride=stride,
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pad=pad,
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kernel=kernel,
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)
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X = np.random.rand(
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batch_size, input_channels, size, size).astype(np.float32)
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self.assertDeviceChecks(dc, op, [X], [0])
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if __name__ == "__main__":
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import unittest
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unittest.main()
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