1# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7#     http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ==============================================================================
15"""Graph-only versions of a few op functions, for internal use only."""
16
17# Must be separate from array_ops to avoid a cyclic dependency.
18
19from __future__ import absolute_import
20from __future__ import division
21from __future__ import print_function
22
23from tensorflow.core.framework import attr_value_pb2
24from tensorflow.python.framework import ops
25from tensorflow.python.framework import tensor_shape
26
27
28def graph_zeros_like(tensor):
29  """Graph-only version of tf.zeros_like(), for internal use only."""
30  g = ops._get_graph_from_inputs([tensor])  # pylint: disable=protected-access
31  with g.as_default(), ops.name_scope(None, "zeros_like", [tensor]) as name:
32    tensor = ops.convert_to_tensor(tensor, name="tensor")
33    dtype = tensor.dtype.base_dtype
34    dtype_value = attr_value_pb2.AttrValue(type=dtype.as_datatype_enum)
35    op = g.create_op("ZerosLike", [tensor], [dtype], input_types=[dtype],
36                     attrs={"T": dtype_value}, name=name)
37  result, = op.outputs
38  return result
39
40
41def graph_placeholder(dtype, shape, name=None):
42  """Graph-only version of tf.placeholder(), for internal use only."""
43  dtype = dtype.base_dtype
44  dtype_value = attr_value_pb2.AttrValue(type=dtype.as_datatype_enum)
45  if isinstance(shape, (list, tuple)):
46    shape = tensor_shape.TensorShape(shape)
47  shape = attr_value_pb2.AttrValue(shape=shape.as_proto())
48  g = ops.get_default_graph()
49  with ops.name_scope(name, "placeholder", []) as name:
50    op = g.create_op("Placeholder", [], [dtype], input_types=[],
51                     attrs={"dtype": dtype_value, "shape": shape}, name=name)
52  result, = op.outputs
53  return result
54