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132 lines
4.7 KiB
132 lines
4.7 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/sequence_slice_op.h"
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namespace paddle {
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namespace operators {
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class SequenceSliceOp : 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"),
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"Input(X) of SequenceSliceOp should not be null.");
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PADDLE_ENFORCE(ctx->HasInput("Offset"),
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"Input(Offset) of SequenceSliceOp should not be null.");
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PADDLE_ENFORCE(ctx->HasInput("Length"),
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"Input(Length) of SequenceSliceOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of SequenceSliceOp should not be null.");
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auto input_dims = ctx->GetInputDim("X");
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auto offset_dim = ctx->GetInputDim("Offset");
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auto length_dim = ctx->GetInputDim("Length");
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PADDLE_ENFORCE_EQ(
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offset_dim.size(), 2UL,
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"Only support one level sequence now, The rank of offset must be 2.");
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PADDLE_ENFORCE_EQ(
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length_dim.size(), 2UL,
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"Only support one level sequence now, The rank of Length must be 2.");
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// Initialize the output's dims to maximum,
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// and re-set to real dims by the value of Offset and Length at kernel
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ctx->SetOutputDim("Out", input_dims);
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}
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protected:
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framework::OpKernelType GetKernelType(
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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 SequenceSliceGradOp : 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(framework::GradVarName("Out")),
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"The gradient of Out should not be null.");
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PADDLE_ENFORCE(ctx->HasOutputs(framework::GradVarName("X")),
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"The gradient of X should not be null.");
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ctx->SetOutputsDim(framework::GradVarName("X"), ctx->GetInputsDim("X"));
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}
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protected:
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framework::OpKernelType GetKernelType(
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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 SequenceSliceOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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SequenceSliceOpMaker(framework::OpProto* proto,
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framework::OpAttrChecker* op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X",
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"(LoDTensor), "
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"the input of SequenceSliceOp.");
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AddInput("Offset",
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"(Tensor), "
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"a vector<int> to describe the offset of every input sequence for "
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"sub sequence item.");
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AddInput("Length",
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"(Tensor), "
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"a vector<int> to describe the length of every input sequence for "
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"sub sequence item.");
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AddOutput("Out", "(LoDTensor), the output of SequenceSliceOp.");
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AddComment(R"DOC(
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Sequence slice operator
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The operator crops a subsequence from given sequence with given start offset and subsequence length.
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It only supports sequence (LoD Tensor with level number is 1).
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- Case:
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X = [[a1, a2;
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b1, b2;
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c1, c2]
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[d1, d2;
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e1, e2]]
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LoD(X) = {{0, 3, 5}}; Dims(X) = (5, 2)
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Offset = [[0], [1]]; Length = [[2], [1]]
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Out = [[a1, a2;
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b1, b2]
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[e1, e2]]
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LoD(Out) = {{0, 2, 3}}; Dims(Out) = (3, 2)
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NOTE: The first dimension size of input, the size of offset and Length, should be equal. The offset start from 0.
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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(sequence_slice, ops::SequenceSliceOp, ops::SequenceSliceOpMaker,
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sequence_slice_grad, ops::SequenceSliceGradOp);
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REGISTER_OP_CPU_KERNEL(
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sequence_slice,
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ops::SequenceSliceOpKernel<paddle::platform::CPUPlace, float>);
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REGISTER_OP_CPU_KERNEL(
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sequence_slice_grad,
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ops::SequenceSliceGradOpKernel<paddle::platform::CPUPlace, float>);
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