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  /external/tensorflow/tensorflow/contrib/recurrent/python/ops/
functional_rnn.py 179 def _ApplyLengthsToBatch(sequence_lengths, tf_output):
183 shape = array_ops.shape(tf_output)
190 math_ops.less(output_time, lengths), dtype=tf_output.dtype)
194 final_output = keep_mask * tf_output
264 tf_output = array_ops.transpose(output_from_state, [1, 0, 2])
265 tf_output.set_shape(
269 tf_output = _ApplyLengthsToBatch(inputs_lengths, tf_output)
271 return tf_output, tf_state
309 tf_output, tf_state = _PostProcessOutput
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  /external/tensorflow/tensorflow/python/framework/
c_api_util.py 174 def tf_output(c_op, index): function
175 """Returns a wrapped TF_Output with specified operation and index.
182 Wrapped TF_Output
184 ret = c_api.TF_Output()
ops.py 591 # also guarantees that a dictionary of tf_output objects will retain a
595 self._tf_output = c_api_util.tf_output(self.op._c_op, self.value_index)
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  /external/tensorflow/tensorflow/python/client/
tf_session.i 32 std::vector<TF_Output>* vec,
41 TF_Output* input_ptr;
44 *error_msg = "expected Python list of wrapped TF_Output objects. "
53 // Helper function to convert a TF_Output to a wrapped TF_Output Python object.
54 PyObject* CreateWrappedTFOutput(TF_Output tf_output) {
56 // generates by default for functions returning TF_Output).
57 TF_Output* tf_output_ptr = new TF_Output(tf_output)
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  /external/tensorflow/tensorflow/python/ops/parallel_for/
control_flow_ops_test.py 916 tf_output = rnn.dynamic_rnn(
921 return pfor_output, tf_output
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