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77 lines
2.7 KiB
77 lines
2.7 KiB
// Copyright (c) 2018 PaddlePaddle 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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#include "paddle/fluid/operators/assign_value_op.h"
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#include <string>
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#include <vector>
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namespace paddle {
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namespace operators {
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class AssignValueOp : public framework::OperatorWithKernel {
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public:
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AssignValueOp(const std::string &type,
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const framework::VariableNameMap &inputs,
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const framework::VariableNameMap &outputs,
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const framework::AttributeMap &attrs)
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: OperatorWithKernel(type, inputs, outputs, attrs) {}
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void InferShape(framework::InferShapeContext *ctx) const override {
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of AssignValueOp should not be null.");
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auto shape = ctx->Attrs().Get<std::vector<int>>("shape");
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ctx->SetOutputDim("Out", framework::make_ddim(shape));
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}
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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext &ctx) const override {
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return framework::OpKernelType(
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framework::proto::VarType::Type(ctx.Attr<int>("dtype")),
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ctx.GetPlace());
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}
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};
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class AssignValueOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddOutput("Out", "(Tensor) Output tensor of assign_value operator.");
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AddAttr<std::vector<int>>("shape",
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"(vector<int>) "
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"Shape of values.");
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AddAttr<int>("dtype", "data type of values")
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.InEnum({framework::proto::VarType::INT32,
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framework::proto::VarType::FP32});
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AddAttr<std::vector<float>>("fp32_values", "store the float values")
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.SetDefault({});
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AddAttr<std::vector<int>>("int32_values", "store the int values")
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.SetDefault({});
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AddComment(R"DOC(
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AssignValue operator
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$$Out = values$$
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)DOC");
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(assign_value, ops::AssignValueOp, ops::AssignValueOpMaker,
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paddle::framework::EmptyGradOpMaker);
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REGISTER_OP_CPU_KERNEL(assign_value, ops::AssignValueKernel<int>,
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ops::AssignValueKernel<float>);
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