Searched refs:sequence_input (Results 1 – 4 of 4) sorted by relevance
/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
D | dynamic_rnn_estimator.py | 122 def _concatenate_context_input(sequence_input, context_input): argument 143 sequence_input, 146 data=[array_ops.shape(sequence_input)]) 148 sequence_input, 151 sequence_input.dtype)) 164 padded_length = array_ops.shape(sequence_input)[1] 168 return array_ops.concat([sequence_input, tiled_context_input], 2) 198 sequence_input = layers.sequence_input_from_feature_columns( 209 sequence_input = _concatenate_context_input(sequence_input, context_input) 210 return sequence_input [all …]
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D | dynamic_rnn_estimator_test.py | 155 sequence_input = dynamic_rnn_estimator.build_sequence_input( 161 sequence_input_val = sess.run(sequence_input) 171 sequence_input = dynamic_rnn_estimator.build_sequence_input( 175 initial_state, sequence_input, self.rnn_cell,
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/external/tensorflow/tensorflow/python/feature_column/ |
D | sequence_feature_column.py | 151 def concatenate_context_input(context_input, sequence_input): argument 172 sequence_input, 175 data=[array_ops.shape(sequence_input)]) 177 sequence_input, 180 sequence_input.dtype)) 193 padded_length = array_ops.shape(sequence_input)[1] 197 return array_ops.concat([sequence_input, tiled_context_input], 2)
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/external/tensorflow/tensorflow/contrib/feature_column/python/feature_column/ |
D | sequence_feature_column.py | 137 def concatenate_context_input(context_input, sequence_input): argument 158 sequence_input, 161 data=[array_ops.shape(sequence_input)]) 163 sequence_input, 166 sequence_input.dtype)) 179 padded_length = array_ops.shape(sequence_input)[1] 183 return array_ops.concat([sequence_input, tiled_context_input], 2)
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