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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
1.1 KiB
Python
46 lines
1.1 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
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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(
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not workspace.C.has_mkldnn, "Skipping as we do not have mkldnn."
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)
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class MKLConcatTest(hu.HypothesisTestCase):
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@given(
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batch_size=st.integers(1, 10),
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channel_splits=st.lists(st.integers(1, 10), min_size=1, max_size=3),
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height=st.integers(1, 10),
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width=st.integers(1, 10),
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**mu.gcs
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)
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def test_mkl_concat(
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self, batch_size, channel_splits, height, width, gc, dc
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):
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Xs = [
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np.random.rand(batch_size, channel,
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height, width).astype(np.float32)
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for channel in channel_splits
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]
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op = core.CreateOperator(
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"Concat",
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["X_{}".format(i) for i in range(len(Xs))],
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["concat_result", "split_info"],
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order="NCHW",
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)
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self.assertDeviceChecks(dc, op, Xs, [0])
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if __name__ == "__main__":
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import unittest
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unittest.main()
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