Searched refs:flat_sequence (Results 1 – 14 of 14) sorted by relevance
/external/tensorflow/tensorflow/python/data/util/ |
D | nest.py | 157 def pack_sequence_as(structure, flat_sequence): argument 175 if not (is_sequence(flat_sequence) or isinstance(flat_sequence, list)): 179 if len(flat_sequence) != 1: 181 % len(flat_sequence)) 182 return flat_sequence[0] 185 if len(flat_structure) != len(flat_sequence): 189 % (len(flat_structure), len(flat_sequence), structure, flat_sequence)) 191 _, packed = _packed_nest_with_indices(structure, flat_sequence, 0) 472 return pack_sequence_as(structure=shallow_tree, flat_sequence=results)
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/external/tensorflow/tensorflow/python/util/ |
D | nest.py | 431 def _pack_sequence_as(structure, flat_sequence, expand_composites, argument 440 if not is_seq(flat_sequence): 444 .format(truncate(flat_sequence, 100), type(flat_sequence))) 447 if len(flat_sequence) != 1: 452 type(structure), truncate(structure, 100), type(flat_sequence), 453 len(flat_sequence), truncate(flat_sequence, 100))) 454 return flat_sequence[0] 457 final_index, packed = _packed_nest_with_indices(structure, flat_sequence, 459 if final_index < len(flat_sequence): 463 if len(flat_structure) != len(flat_sequence): [all …]
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/external/tensorflow/tensorflow/python/ops/ |
D | rnn.py | 311 structure=zero_output, flat_sequence=final_output) 313 structure=state, flat_sequence=final_state) 354 nest.pack_sequence_as(structure=input_, flat_sequence=flat_result) 698 inputs = nest.pack_sequence_as(structure=inputs, flat_sequence=flat_input) 802 structure=cell.output_size, flat_sequence=flat_zero_output) 865 input_t = nest.pack_sequence_as(structure=inputs, flat_sequence=input_t) 931 structure=cell.output_size, flat_sequence=final_outputs) 1148 state = nest.pack_sequence_as(structure=state, flat_sequence=flat_state) 1175 structure=emit_structure, flat_sequence=flat_emit_ta) 1181 structure=emit_structure, flat_sequence=flat_zero_emit) [all …]
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D | custom_gradient.py | 402 structure=result, flat_sequence=all_tensors[:flat_result_len])
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D | ctc_ops.py | 1319 pack_elems = lambda x: nest.pack_sequence_as(structure=elems, flat_sequence=x) 1321 pack = lambda x: nest.pack_sequence_as(structure=initial, flat_sequence=x)
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D | control_flow_ops.py | 1291 structure=orig_res_t, flat_sequence=merges, expand_composites=True) 2155 flat_sequence=merge_vars_with_tensor_arrays, 2170 flat_sequence=vars_for_body_with_tensor_arrays, 2259 flat_sequence=exit_vars_with_tensor_arrays,
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/external/tensorflow/tensorflow/python/framework/ |
D | func_graph.py | 1084 flat_sequence = nest.flatten(sequence, expand_composites=True) 1087 for item in flat_sequence] 1091 def pack_sequence_as(structure, flat_sequence): argument 1105 flat_sequence = list(flat_sequence) 1107 if len(flattened_structure) != len(flat_sequence): 1109 for i in range(len(flat_sequence)): 1111 flat_sequence[i] = tensor_array_ops.build_ta_with_new_flow( 1112 old_ta=flattened_structure[i], flow=flat_sequence[i]) 1113 return nest.pack_sequence_as(structure, flat_sequence, expand_composites=True)
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.nest.pbtxt | 21 …argspec: "args=[\'structure\', \'flat_sequence\', \'expand_composites\'], varargs=None, keywords=N…
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.nest.pbtxt | 21 …argspec: "args=[\'structure\', \'flat_sequence\', \'expand_composites\'], varargs=None, keywords=N…
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/external/tensorflow/tensorflow/python/compiler/xla/ |
D | xla.py | 355 structure=inputs, flat_sequence=flat_inputs) 404 structure=outputs, flat_sequence=output_tensors)
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/external/tensorflow/tensorflow/lite/experimental/examples/lstm/ |
D | rnn.py | 257 inputs = nest.pack_sequence_as(structure=inputs, flat_sequence=flat_input)
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/external/tensorflow/tensorflow/python/keras/saving/ |
D | saving_utils.py | 97 flat_sequence=flat_input_specs)
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/external/tensorflow/tensorflow/python/tpu/ |
D | tpu.py | 1170 flat_sequence=flat_replicated_inputs[:flat_input_arity])
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/external/tensorflow/tensorflow/python/eager/ |
D | function.py | 2254 structure=inputs, flat_sequence=flat_inputs, expand_composites=False) 2304 flat_sequence=flatten_inputs,
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