mirror of
https://github.com/zebrajr/pytorch.git
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dbab9b73b6
Summary: 1. Remove avx2 support in mkldnn 2. Seperate mkl, mklml, and mkldnn 3. Fix convfusion test case Pull Request resolved: https://github.com/pytorch/pytorch/pull/12170 Reviewed By: yinghai Differential Revision: D10207126 Pulled By: orionr fbshipit-source-id: 1e62eb47943f426a89d57e2d2606439f2b04fd51
36 lines
1021 B
Python
36 lines
1021 B
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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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.ideep_test_util as mu
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@unittest.skipIf(not workspace.C.use_mkldnn, "No MKLDNN support.")
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class ReluTest(hu.HypothesisTestCase):
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@given(X=hu.tensor(),
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inplace=st.booleans(),
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**mu.gcs)
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def test_relu(self, X, inplace, gc, dc):
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op = core.CreateOperator(
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"Relu",
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["X"],
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["Y"] if not inplace else ["X"],
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)
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# go away from the origin point to avoid kink problems
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X += 0.02 * np.sign(X)
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X[X == 0.0] += 0.02
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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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