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51 lines
2.1 KiB
Python
51 lines
2.1 KiB
Python
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Graph-only versions of a few op functions, for internal use only."""
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# Must be separate from array_ops to avoid a cyclic dependency.
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from tensorflow.core.framework import attr_value_pb2
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from tensorflow.python.framework import ops
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def graph_zeros_like(tensor):
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"""Graph-only version of tf.zeros_like(), for internal use only."""
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g = ops._get_graph_from_inputs([tensor]) # pylint: disable=protected-access
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with g.as_default(), ops.name_scope(None, "zeros_like", [tensor]) as name:
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tensor = ops.convert_to_tensor(tensor, name="tensor")
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dtype = tensor.dtype.base_dtype.as_datatype_enum
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dtype_value = attr_value_pb2.AttrValue(type=dtype)
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op = g.create_op("ZerosLike", [tensor], [dtype], input_types=[dtype],
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attrs={"T": dtype_value}, name=name)
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result, = op.outputs
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return result
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def graph_placeholder(dtype, shape, name=None):
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"""Graph-only version of tf.placeholder(), for internal use only."""
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dtype = dtype.base_dtype.as_datatype_enum
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dtype_value = attr_value_pb2.AttrValue(type=dtype)
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shape = attr_value_pb2.AttrValue(shape=shape.as_proto())
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g = ops.get_default_graph()
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with ops.name_scope(name, "placeholder", []) as name:
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op = g.create_op("Placeholder", [], [dtype], input_types=[],
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attrs={"dtype": dtype_value, "shape": shape}, name=name)
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result, = op.outputs
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return result
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