8ff9774650
- The Placeholder ops created for input args to tf.functions use a separate code path from the one currently covered by op_callbacks. The code path is in graph_only_ops.py. This CL adds the op_callbacks invocation in that module. - Unit tests are added. - Some existing unit tests are to accommodate the newly-tracked Placeholder ops. PiperOrigin-RevId: 290661147 Change-Id: I6352134a42473392e08258c215ae9db91812b604
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 op_callbacks
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from tensorflow.python.framework import ops
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from tensorflow.python.framework import tensor_shape
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def graph_placeholder(dtype, shape, name=None):
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"""Graph-only version of tf.compat.v1.placeholder(), for internal use only."""
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dtype = dtype.base_dtype
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dtype_value = attr_value_pb2.AttrValue(type=dtype.as_datatype_enum)
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if isinstance(shape, (list, tuple)):
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shape = tensor_shape.TensorShape(shape)
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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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attrs = {"dtype": dtype_value, "shape": shape}
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op = g._create_op_internal( # pylint: disable=protected-access
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"Placeholder", [], [dtype], input_types=[],
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attrs=attrs, name=name)
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result, = op.outputs
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if op_callbacks.should_invoke_op_callbacks():
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# TODO(b/147670703): Once the special-op creation code paths
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# are unified. Remove this `if` block.
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callback_outputs = op_callbacks.invoke_op_callbacks(
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"Placeholder", tuple(), attrs, tuple(op.outputs),
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op_name=name, graph=g)
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if callback_outputs is not None:
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result, = callback_outputs
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return result
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