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70 lines
2.4 KiB
70 lines
2.4 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/gather_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 GatherOp : public framework::OperatorWithKernel {
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protected:
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void InferShape(const framework::InferShapeContext &ctx) const override {
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PADDLE_ENFORCE(ctx.InputSize() == 2, "");
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PADDLE_ENFORCE(ctx.OutputSize() == 1, "");
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PADDLE_ENFORCE_NOT_NULL(ctx.InputVar(0),
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"Inputs of GatherOp must all be set");
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int batch_size = ctx.Input<Tensor>(1)->dims()[0];
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PADDLE_ENFORCE(batch_size > 0);
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paddle::framework::DDim output_dims(ctx.Input<Tensor>(0)->dims());
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output_dims[0] = batch_size;
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ctx.Output<Tensor>(0)->Resize(output_dims);
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}
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};
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class GatherOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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GatherOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X", "The source input of gather op");
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AddInput("Index", "The index input of gather op");
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AddOutput("Y", "The output of add op");
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AddComment(R"DOC(
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Gather Operator by selecting from the first axis,
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Y = X[Index]
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)DOC");
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}
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};
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class GatherGradOp : public framework::OperatorWithKernel {
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protected:
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void InferShape(const framework::InferShapeContext &ctx) const override {
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ctx.Output<Tensor>("X" + framework::kGradVarSuffix)
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->Resize(ctx.Input<Tensor>("X")->dims());
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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(gather, ops::GatherOp, ops::GatherOpMaker);
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REGISTER_OP_CPU_KERNEL(gather,
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ops::GatherOpKernel<paddle::platform::CPUPlace, float>);
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REGISTER_GRADIENT_OP(gather, gather_grad, ops::GatherGradOp);
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REGISTER_OP_CPU_KERNEL(
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gather_grad,
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ops::GatherGradientOpKernel<paddle::platform::CPUPlace, float>);
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