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110 lines
3.9 KiB
110 lines
3.9 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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#include "paddle/operators/scatter_op.h"
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#include "paddle/framework/ddim.h"
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namespace paddle {
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namespace operators {
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class ScatterOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext* ctx) const override {
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PADDLE_ENFORCE(ctx->HasInput("Ref"),
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"Input(Ref) of ScatterOp should not be null.");
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PADDLE_ENFORCE(ctx->HasInput("Index"),
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"Input(Index) of ScatterOp should not be null.");
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PADDLE_ENFORCE(ctx->HasInput("Updates"),
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"Input(Updates) of ScatterOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of ScatterOp should not be null.");
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auto updates_dims = ctx->GetInputDim("Updates");
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auto ref_dims = ctx->GetInputDim("Ref");
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PADDLE_ENFORCE_EQ(ctx->GetInputDim("Index").size(), 1,
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"Update Index should be 1-D.");
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PADDLE_ENFORCE_EQ(ref_dims.size(), updates_dims.size(),
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"Reference and Updates should have the same shape size");
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PADDLE_ENFORCE_EQ(ctx->GetInputDim("Updates")[0],
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ctx->GetInputDim("Index")[0],
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"Updates and Index should have same batch-size.");
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framework::DDim data_dim(updates_dims);
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for (int i = 1; i < data_dim.size(); ++i) {
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PADDLE_ENFORCE_EQ(data_dim[i], updates_dims[i]);
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}
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ctx->SetOutputDim("Out", ref_dims);
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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::ToDataType(ctx.Input<Tensor>("Ref")->type()),
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ctx.device_context());
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}
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};
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class ScatterGradOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext* ctx) const override {
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ctx->SetOutputDim(framework::GradVarName("Updates"),
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ctx->GetInputDim("Updates"));
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ctx->SetOutputDim(framework::GradVarName("Ref"), ctx->GetInputDim("Ref"));
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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::ToDataType(ctx.Input<Tensor>("Ref")->type()),
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ctx.device_context());
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}
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};
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class ScatterOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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ScatterOpMaker(OpProto* proto, OpAttrChecker* op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("Ref", "The source input of scatter op");
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AddInput("Index",
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"The index input of scatter op where Ref will be updated");
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AddInput("Updates", "The updated value of updates op");
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AddOutput("Out", "The output of add op");
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AddComment(R"DOC(
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Scatter Operator.
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This operator obtains output by updating the input on selected indices on the first axis:
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$$
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Out = Ref \\
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Out[Index] = Ref[Index] + Updates
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$$
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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_OP(scatter, ops::ScatterOp, ops::ScatterOpMaker, scatter_grad,
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ops::ScatterGradOp);
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REGISTER_OP_CPU_KERNEL(scatter, ops::ScatterOpKernel<float>);
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REGISTER_OP_CPU_KERNEL(scatter_grad, ops::ScatterGradientOpKernel<float>);
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