mirror of
https://github.com/saymrwulf/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
42 lines
1.4 KiB
Python
42 lines
1.4 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
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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 ElementwiseSumTest(hu.HypothesisTestCase):
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@given(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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inputs=st.integers(2, 7),
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inplace=st.booleans(),
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**mu.gcs)
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def test_elementwise_sum(self,
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size,
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input_channels,
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batch_size,
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inputs,
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inplace,
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gc,
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dc):
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op = core.CreateOperator(
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"Sum",
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["X_{}".format(i) for i in range(inputs)],
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["X_0" if inplace else "Y"],
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)
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Xs = [np.random.rand(batch_size, input_channels, size, size).astype(
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np.float32) for _ in range(inputs)]
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self.assertDeviceChecks(dc, op, Xs, [0])
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if __name__ == "__main__":
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unittest.main()
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