mirror of
https://github.com/saymrwulf/pytorch.git
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8286ce1e3a
Summary: Closes https://github.com/caffe2/caffe2/pull/1260 Differential Revision: D5906739 Pulled By: Yangqing fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
85 lines
2.6 KiB
Python
85 lines
2.6 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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from caffe2.python.models.seq2seq import seq2seq_model_helper
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from caffe2.python import scope, test_util
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class Seq2SeqModelHelperTest(test_util.TestCase):
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def testConstuctor(self):
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model_name = 'TestModel'
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m = seq2seq_model_helper.Seq2SeqModelHelper(name=model_name)
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self.assertEqual(m.name, model_name)
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self.assertEqual(m.init_params, True)
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self.assertEqual(m.arg_scope, {
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'use_cudnn': True,
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'cudnn_exhaustive_search': False,
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'order': 'NHWC'
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})
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def testAddParam(self):
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m = seq2seq_model_helper.Seq2SeqModelHelper()
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param_name = 'test_param'
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param = m.AddParam(param_name, init_value=1)
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self.assertEqual(str(param), param_name)
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def testGetNonTrainableParams(self):
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m = seq2seq_model_helper.Seq2SeqModelHelper()
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m.AddParam('test_param1', init_value=1, trainable=True)
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p2 = m.AddParam('test_param2', init_value=2, trainable=False)
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self.assertEqual(
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m.GetNonTrainableParams(),
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[p2]
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)
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with scope.NameScope('A', reset=True):
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p3 = m.AddParam('test_param3', init_value=3, trainable=False)
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self.assertEqual(
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m.GetNonTrainableParams(),
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[p3]
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)
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self.assertEqual(
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m.GetNonTrainableParams(),
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[p2, p3]
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)
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def testGetAllParams(self):
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m = seq2seq_model_helper.Seq2SeqModelHelper()
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p1 = m.AddParam('test_param1', init_value=1, trainable=True)
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p2 = m.AddParam('test_param2', init_value=2, trainable=False)
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self.assertEqual(
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m.GetAllParams(),
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[p1, p2]
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)
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if __name__ == "__main__":
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import unittest
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import random
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random.seed(2221)
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unittest.main()
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