65 lines
2.3 KiB
Python
65 lines
2.3 KiB
Python
|
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
|
||
|
|
#
|
||
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
||
|
|
# you may not use this file except in compliance with the License.
|
||
|
|
# You may obtain a copy of the License at
|
||
|
|
#
|
||
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
||
|
|
#
|
||
|
|
# Unless required by applicable law or agreed to in writing, software
|
||
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
||
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||
|
|
# See the License for the specific language governing permissions and
|
||
|
|
# limitations under the License.
|
||
|
|
# ==============================================================================
|
||
|
|
"""A typed list in Python."""
|
||
|
|
|
||
|
|
from tensorflow.python.framework import ops
|
||
|
|
from tensorflow.python.ops import list_ops
|
||
|
|
from tensorflow.python.ops import tensor_array_ops
|
||
|
|
|
||
|
|
|
||
|
|
def dynamic_list_append(target, element):
|
||
|
|
"""Converts a list append call inline."""
|
||
|
|
if isinstance(target, tensor_array_ops.TensorArray):
|
||
|
|
return target.write(target.size(), element)
|
||
|
|
# TODO(mdan): What's the right way to check this?
|
||
|
|
# TODO(mdan): We may not need this branch.
|
||
|
|
# It may be possible to use TensorList alone if the loop body will not
|
||
|
|
# require wrapping it, although we'd have to think about an autoboxing
|
||
|
|
# mechanism for lists received as parameter.
|
||
|
|
if isinstance(target, ops.Tensor):
|
||
|
|
return list_ops.tensor_list_push_back(target, element)
|
||
|
|
|
||
|
|
# Python targets (including TensorList): fallback to their original append.
|
||
|
|
target.append(element)
|
||
|
|
return target
|
||
|
|
|
||
|
|
|
||
|
|
class TensorList(object):
|
||
|
|
"""Tensor list wrapper API-compatible with Python built-in list."""
|
||
|
|
|
||
|
|
def __init__(self, shape, dtype):
|
||
|
|
self.dtype = dtype
|
||
|
|
self.shape = shape
|
||
|
|
self.clear()
|
||
|
|
|
||
|
|
def append(self, value):
|
||
|
|
self.list_ = list_ops.tensor_list_push_back(self.list_, value)
|
||
|
|
|
||
|
|
def pop(self):
|
||
|
|
self.list_, value = list_ops.tensor_list_pop_back(self.list_, self.dtype)
|
||
|
|
return value
|
||
|
|
|
||
|
|
def clear(self):
|
||
|
|
self.list_ = list_ops.empty_tensor_list(self.shape, self.dtype)
|
||
|
|
|
||
|
|
def count(self):
|
||
|
|
return list_ops.tensor_list_length(self.list_)
|
||
|
|
|
||
|
|
def __getitem__(self, key):
|
||
|
|
return list_ops.tensor_list_get_item(self.list_, key, self.dtype)
|
||
|
|
|
||
|
|
def __setitem__(self, key, value):
|
||
|
|
self.list_ = list_ops.tensor_list_set_item(self.list_, key, value)
|