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8286ce1e3a
Summary: Closes https://github.com/caffe2/caffe2/pull/1260 Differential Revision: D5906739 Pulled By: Yangqing fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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##############################################################################
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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 numpy as np
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from caffe2.python import core, workspace
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from caffe2.python.test_util import TestCase
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class TestDuplicateOperands(TestCase):
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def test_duplicate_operands(self):
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net = core.Net('net')
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shape = (2, 4)
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x_in = np.random.uniform(size=shape)
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x = net.GivenTensorFill([], 'X', shape=shape,
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values=x_in.flatten().tolist())
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xsq = net.Mul([x, x])
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y = net.DotProduct([xsq, xsq])
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net.AddGradientOperators([y])
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workspace.RunNetOnce(net)
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self.assertTrue(np.allclose(workspace.FetchBlob('X_grad'),
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4 * x_in**3))
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if __name__ == "__main__":
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import unittest
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unittest.main()
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