47 lines
2.0 KiB
Python
47 lines
2.0 KiB
Python
# Copyright 2017 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.
|
|
# ==============================================================================
|
|
"""Graph-only versions of a few op functions, for internal use only."""
|
|
|
|
# Must be separate from array_ops to avoid a cyclic dependency.
|
|
|
|
from tensorflow.core.framework import attr_value_pb2
|
|
from tensorflow.python.framework import op_callbacks
|
|
from tensorflow.python.framework import ops
|
|
from tensorflow.python.framework import tensor_shape
|
|
|
|
|
|
def graph_placeholder(dtype, shape, name=None):
|
|
"""Graph-only version of tf.compat.v1.placeholder(), for internal use only."""
|
|
dtype = dtype.base_dtype
|
|
dtype_value = attr_value_pb2.AttrValue(type=dtype.as_datatype_enum)
|
|
if isinstance(shape, (list, tuple)):
|
|
shape = tensor_shape.TensorShape(shape)
|
|
shape = attr_value_pb2.AttrValue(shape=shape.as_proto())
|
|
g = ops.get_default_graph()
|
|
attrs = {"dtype": dtype_value, "shape": shape}
|
|
op = g._create_op_internal( # pylint: disable=protected-access
|
|
"Placeholder", [], [dtype], input_types=[],
|
|
attrs=attrs, name=name)
|
|
result, = op.outputs
|
|
if op_callbacks.should_invoke_op_callbacks():
|
|
# TODO(b/147670703): Once the special-op creation code paths
|
|
# are unified. Remove this `if` block.
|
|
callback_outputs = op_callbacks.invoke_op_callbacks(
|
|
"Placeholder", tuple(), attrs, tuple(op.outputs),
|
|
op_name=name, graph=g)
|
|
if callback_outputs is not None:
|
|
result, = callback_outputs
|
|
return result
|