88 lines
2.8 KiB
C++
88 lines
2.8 KiB
C++
/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#ifndef TENSORFLOW_CC_OPS_CONST_OP_H_
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#define TENSORFLOW_CC_OPS_CONST_OP_H_
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#include <vector>
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#include "tensorflow/cc/framework/ops.h"
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#include "tensorflow/cc/framework/scope.h"
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#include "tensorflow/core/graph/node_builder.h"
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namespace tensorflow {
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namespace ops {
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/// @defgroup const_op Const Op
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/// @{
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Output Const(const Scope& scope, const Input::Initializer& val);
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Output ConstFromProto(const Scope& scope, const TensorProto& proto);
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NodeBuilder::NodeOut AsNodeOut(const Scope& scope, const Input& inp);
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template <typename T>
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Output Const(const Scope& scope, const Input::Initializer& val) {
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auto orig_const_output = Const(scope, val);
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if (!scope.ok()) return Output();
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typedef typename Input::Initializer::RealType<T>::type DstT;
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if (val.tensor.dtype() == DataTypeToEnum<DstT>::v()) {
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return orig_const_output;
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}
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if (val.tensor.NumElements() == 0) {
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Tensor t(DataTypeToEnum<DstT>::v(), val.tensor.shape());
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return Const(scope, Input::Initializer(t));
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}
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// TODO(keveman): Refactor Cast op's kernel implementation such that the code
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// can be directly called here instead of adding the Cast op to the graph.
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auto orig_const = AsNodeOut(scope, orig_const_output);
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const auto cast_op_name = scope.GetUniqueNameForOp("Cast");
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auto cast_builder = NodeBuilder(cast_op_name, "Cast")
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.Input(orig_const)
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.Attr("DstT", DataTypeToEnum<DstT>::v());
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scope.UpdateBuilder(&cast_builder);
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Node* ret;
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scope.UpdateStatus(cast_builder.Finalize(scope.graph(), &ret));
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if (!scope.ok()) return Output();
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scope.UpdateStatus(scope.DoShapeInference(ret));
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return Output(ret, 0);
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}
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template <typename T>
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Output Const(const Scope& scope, const T& v, const TensorShape shape) {
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return Const(scope, Input::Initializer(v, shape));
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}
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template <typename T>
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Output Const(const Scope& scope, const std::initializer_list<T>& v,
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const TensorShape shape) {
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return Const(scope, Input::Initializer(v, shape));
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}
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std::vector<NodeBuilder::NodeOut> AsNodeOutList(const Scope& scope,
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const InputList& inp);
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/// }@
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} // namespace ops
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} // namespace tensorflow
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#endif // TENSORFLOW_CC_OPS_CONST_OP_H_
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