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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
37 lines
1.1 KiB
Python
37 lines
1.1 KiB
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, 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 FcTest(hu.HypothesisTestCase):
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@given(n=st.integers(1, 5), m=st.integers(1, 5),
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k=st.integers(1, 5), **mu.gcs)
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def test_fc(self,n, m, k, gc, dc):
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X = np.random.rand(m, k).astype(np.float32) - 0.5
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W = np.random.rand(n, k).astype(np.float32) - 0.5
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b = np.random.rand(n).astype(np.float32) - 0.5
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op = core.CreateOperator(
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'FC',
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['X', 'W', 'b'],
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["Y"]
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)
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self.assertDeviceChecks(dc, op, [X, W, b], [0])
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for i in range(3):
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self.assertGradientChecks(gc, op, [X, W, b], i, [0])
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if __name__ == "__main__":
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unittest.main()
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