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120 lines
4.5 KiB
120 lines
4.5 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/lod_reset_op.h"
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namespace paddle {
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namespace operators {
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class LoDResetOp : 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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// input check
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PADDLE_ENFORCE(ctx->HasInput("X"),
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"Input(X) of LoDResetOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of LoDResetOp should not be null.");
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// If target LoD is not set form Input(), then it must be set from Attr().
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if (!ctx->HasInput("TargetLoD")) {
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auto level0 = ctx->Attrs().Get<std::vector<int>>("target_lod");
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PADDLE_ENFORCE(level0.size() > 1,
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"Target LoD is not found, should be set to be a valid one "
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"through Input() or Attr().");
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}
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ctx->SetOutputDim("Out", ctx->GetInputDim("X"));
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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<framework::LoDTensor>("X")->type()),
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ctx.device_context());
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}
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};
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class LoDResetOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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LoDResetOpMaker(OpProto *proto, OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X", "(LoDTensor) The input tensor of lod_reset operator.");
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AddInput("TargetLoD",
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"(Tensor, optional) The target level 0 LoD from Input().")
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.AsDispensable();
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AddOutput("Out", "(LoDTensor) The output tensor of lod_reset operator.");
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AddAttr<std::vector<int>>("target_lod",
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"The target level 0 LoD from Attr().")
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.SetDefault(std::vector<int>{});
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AddComment(R"DOC(LoDReset operator
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Reset LoD of Input(X) into a new one specified by Input(TargetLoD) or
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Attr(target_lod), or set LoD for Input(X) if it doesn't have one.
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Currently the lod_reset operator only supports the reset of level 0 LoD.
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At least one of Input(TargetLoD) and Attr(target_lod) must be set,
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and if both of them are set, Input(TargetLoD) will be chosen as the
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target LoD.
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An example:
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Given a float LoDTensor X with shape (6, 1), its transpose form represents
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[1.0, 2.0, 3.0, 4.0, 5.0, 6.0],
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with LoD = [[0, 2, 5, 6]] and the three (transposed) sequences look like
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[1.0, 2.0], [3.0, 4.0, 5.0], [6.0].
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If target LoD = [0, 4, 6], the lod_reset operator will reset the LoD and
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the sequences that the LoDTensor Output(Out) contains becomes:
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[1.0, 2.0, 3.0, 4.0], [5.0, 6.0].
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)DOC");
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}
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};
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class LoDResetGradOp : 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("X"), "Input(X) shouldn't be null.");
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PADDLE_ENFORCE(ctx->HasInput(framework::GradVarName("Out")),
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"Input(Out@GRAD) shouldn't be null.");
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ctx->SetOutputDim(framework::GradVarName("X"), ctx->GetInputDim("X"));
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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<framework::LoDTensor>("X")->type()),
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ctx.device_context());
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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(lod_reset, ops::LoDResetOp, ops::LoDResetOpMaker, lod_reset_grad,
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ops::LoDResetGradOp);
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REGISTER_OP_CPU_KERNEL(lod_reset,
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ops::LoDResetKernel<paddle::platform::CPUPlace, float>,
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ops::LoDResetKernel<paddle::platform::CPUPlace, double>);
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REGISTER_OP_CPU_KERNEL(
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lod_reset_grad, ops::LoDResetGradKernel<paddle::platform::CPUPlace, float>,
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ops::LoDResetGradKernel<paddle::platform::CPUPlace, double>);
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