mirror of
https://github.com/zebrajr/pytorch.git
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ee3baa2ed4
Summary: As titled. Reviewed By: kittipatv Differential Revision: D6145747 fbshipit-source-id: 39a212bb6bebbbf3164cade2f95db22ddb2d2c87
137 lines
5.5 KiB
Python
137 lines
5.5 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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from caffe2.python import scope
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from caffe2.python.modeling.parameter_sharing import (
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ParameterSharing,
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)
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from caffe2.python.layer_test_util import LayersTestCase
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class ParameterSharingTest(LayersTestCase):
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def test_layer_parameter_name(self):
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output_dims = 2
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with scope.NameScope('global_scope'):
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fc1_output = self.model.FC(
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self.model.input_feature_schema.float_features,
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output_dims
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)
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self.assertEquals(self.model.layers[-1].w, 'global_scope/fc/w')
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self.assertEquals(fc1_output(), 'global_scope/fc/output')
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with scope.NameScope('nested_scope'):
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fc2_output = self.model.FC(
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fc1_output,
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output_dims
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)
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self.assertEquals(self.model.layers[-1].w,
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'global_scope/nested_scope/fc/w')
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self.assertEquals(fc2_output(),
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'global_scope/nested_scope/fc/output')
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fc3_output = self.model.FC(
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fc1_output,
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output_dims
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)
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self.assertEquals(self.model.layers[-1].w,
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'global_scope/nested_scope/fc_auto_0/w')
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self.assertEquals(fc3_output(),
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'global_scope/nested_scope/fc_auto_0/output')
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def test_layer_shared_parameter_name_different_namescopes(self):
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output_dims = 2
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with scope.NameScope('global_scope'):
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with ParameterSharing({'scope_1': 'scope_0'}):
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with scope.NameScope('scope_0'):
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fc1_output = self.model.FC(
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self.model.input_feature_schema.float_features,
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output_dims
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)
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self.assertEquals(self.model.layers[-1].w,
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'global_scope/scope_0/fc/w')
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self.assertEquals(fc1_output(),
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'global_scope/scope_0/fc/output')
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with scope.NameScope('scope_1'):
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fc2_output = self.model.FC(
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self.model.input_feature_schema.float_features,
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output_dims
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)
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self.assertEquals(self.model.layers[-1].w,
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'global_scope/scope_0/fc/w')
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self.assertEquals(fc2_output(),
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'global_scope/scope_1/fc/output')
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def test_layer_shared_parameter_name_within_same_namescope(self):
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output_dims = 2
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with scope.NameScope('global_scope'):
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with ParameterSharing({'fc_auto_0': 'fc'}):
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self.model.FC(
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self.model.input_feature_schema.float_features,
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output_dims
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)
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self.assertEquals(self.model.layers[-1].w,
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'global_scope/fc/w')
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self.model.FC(
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self.model.input_feature_schema.float_features,
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output_dims
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)
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self.assertEquals(self.model.layers[-1].w,
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'global_scope/fc/w')
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def test_layer_shared_parameter_name_within_same_namescope_customized_name(self):
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output_dims = 2
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with scope.NameScope('global_scope'):
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with ParameterSharing({'new_fc': 'shared_fc'}):
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self.model.FC(
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self.model.input_feature_schema.float_features,
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output_dims,
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name='shared_fc'
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)
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self.assertEquals(self.model.layers[-1].w,
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'global_scope/shared_fc/w')
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self.model.FC(
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self.model.input_feature_schema.float_features,
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output_dims,
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name='new_fc'
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)
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self.assertEquals(self.model.layers[-1].w,
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'global_scope/shared_fc/w')
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def test_layer_shared_parameter_name_different_shapes(self):
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output_dims = 2
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with scope.NameScope('global_scope'):
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with ParameterSharing({'fc_auto_0': 'fc'}):
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self.model.FC(
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self.model.input_feature_schema.float_features,
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output_dims
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)
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self.assertEquals(self.model.layers[-1].w,
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'global_scope/fc/w')
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with self.assertRaisesRegexp(ValueError, 'Got inconsistent shapes .*'):
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self.model.FC(
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self.model.input_feature_schema.float_features,
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output_dims + 1
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)
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