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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
46 lines
1.3 KiB
Python
46 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
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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.ideep_test_util as mu
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@unittest.skipIf(not workspace.C.use_mkldnn, "No MKLDNN support.")
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class ChannelShuffleTest(hu.HypothesisTestCase):
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@given(size=st.integers(8, 10),
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input_channels=st.integers(1, 3),
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batch_size=st.integers(1, 32),
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group=st.integers(2, 4),
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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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**mu.gcs)
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@settings(max_examples=10, deadline=None)
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def test_channel_shuffle(self, size, input_channels, batch_size, group, stride, pad, kernel, gc, dc):
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op = core.CreateOperator(
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"ChannelShuffle",
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["X"],
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["Y"],
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group=group,
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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 * group, size, size).astype(np.float32) - 0.5
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self.assertDeviceChecks(dc, op, [X], [0])
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self.assertGradientChecks(gc, op, [X], 0, [0])
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if __name__ == "__main__":
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unittest.main()
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