0a11eaffc9
Adds a test in the variant_op_copy_test. Modifies the base GPUDevice to use this registry if it sees a singleton variant. Modifies the rendezvous manager to do the same. PiperOrigin-RevId: 170908757
87 lines
2.7 KiB
C++
87 lines
2.7 KiB
C++
/* Copyright 2016 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.
|
|
==============================================================================*/
|
|
|
|
#include "tensorflow/cc/ops/const_op.h"
|
|
#include "tensorflow/core/framework/types.h"
|
|
|
|
namespace tensorflow {
|
|
namespace ops {
|
|
|
|
namespace {
|
|
template <typename T>
|
|
Output ConstHelper(const Scope& scope, const T& value, DataType dtype) {
|
|
if (!scope.ok()) return Output();
|
|
|
|
Node* ret;
|
|
Graph* graph = scope.graph();
|
|
const string unique_name = scope.GetUniqueNameForOp("Const");
|
|
auto builder = NodeBuilder(unique_name, "Const")
|
|
.Attr("value", value)
|
|
.Attr("dtype", dtype);
|
|
scope.UpdateBuilder(&builder);
|
|
scope.UpdateStatus(builder.Finalize(graph, &ret));
|
|
if (!scope.ok()) return Output();
|
|
|
|
scope.UpdateStatus(scope.DoShapeInference(ret));
|
|
if (!scope.ok()) return Output();
|
|
|
|
return Output(ret);
|
|
}
|
|
} // namespace
|
|
|
|
Output Const(const Scope& scope, const Input::Initializer& val) {
|
|
if (!val.status.ok()) {
|
|
scope.UpdateStatus(val.status);
|
|
return Output();
|
|
}
|
|
return ConstHelper(scope, val.tensor, val.tensor.dtype());
|
|
}
|
|
|
|
Output ConstFromProto(const Scope& scope, const TensorProto& proto) {
|
|
return ConstHelper(scope, proto, proto.dtype());
|
|
}
|
|
|
|
NodeBuilder::NodeOut AsNodeOut(const Scope& scope, const Input& inp) {
|
|
if (!inp.status().ok()) {
|
|
scope.UpdateStatus(inp.status());
|
|
return NodeBuilder::NodeOut(inp.node(), inp.index());
|
|
}
|
|
if (inp.node()) {
|
|
return NodeBuilder::NodeOut(inp.node(), inp.index());
|
|
}
|
|
if (!inp.node_name().empty()) {
|
|
return NodeBuilder::NodeOut(inp.node_name(), inp.index(), inp.data_type());
|
|
}
|
|
auto transformed = Input{
|
|
Const(scope.NewSubScope("Const"), Input::Initializer(inp.tensor()))};
|
|
return NodeBuilder::NodeOut{transformed.node(), transformed.index()};
|
|
}
|
|
|
|
std::vector<NodeBuilder::NodeOut> AsNodeOutList(const Scope& scope,
|
|
const InputList& inp) {
|
|
std::vector<NodeBuilder::NodeOut> out;
|
|
for (const auto& i : inp) {
|
|
const auto node_out = AsNodeOut(scope, i);
|
|
if (!scope.ok()) {
|
|
return {};
|
|
}
|
|
out.push_back(node_out);
|
|
}
|
|
return out;
|
|
}
|
|
|
|
} // namespace ops
|
|
} // namespace tensorflow
|