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
46 lines
1.3 KiB
Python
46 lines
1.3 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 LRNTest(hu.HypothesisTestCase):
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@given(input_channels=st.integers(1, 3),
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batch_size=st.integers(1, 3),
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im_size=st.integers(1, 10),
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order=st.sampled_from(["NCHW"]),
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**mu.gcs)
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def test_LRN(self, input_channels,
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batch_size, im_size, order,
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gc, dc):
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op = core.CreateOperator(
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"LRN",
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["X"],
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["Y", "Y_scale"],
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size=5,
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alpha=0.001,
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beta=0.75,
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bias=2.0,
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order=order,
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)
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X = np.random.rand(
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batch_size, input_channels, im_size, im_size).astype(np.float32)
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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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