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https://github.com/zebrajr/pytorch.git
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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
1.2 KiB
Python
46 lines
1.2 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, 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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@settings(deadline=10000)
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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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