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91 lines
3.3 KiB
91 lines
3.3 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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/fluid/operators/sequence_erase_op.h"
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namespace paddle {
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namespace operators {
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class SequenceEraseOp : 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 SequenceEraseOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of SequenceEraseOp should not be null.");
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auto x_dims = ctx->GetInputDim("X");
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PADDLE_ENFORCE(x_dims.size() == 2 && x_dims[1] == 1,
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"Input(X) of SequenceEraseOp should be a 2-D LoDTensor "
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"with the 2nd dimension equal to 1.");
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ctx->SetOutputDim("Out", x_dims);
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}
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};
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class SequenceEraseOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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SequenceEraseOpMaker(OpProto* proto, OpAttrChecker* op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X",
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"(2-D LoDTensor with the 2nd dim. equal to 1) "
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"Input LoDTensor of SequenceEraseOp.");
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AddOutput("Out",
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"(2-D LoDTensor with the 2nd dim. equal to 1) "
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"Output LoDTensor of SequenceEraseOp.");
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AddAttr<std::vector<int>>("tokens",
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"(vector<int>) Tokens need to be erased from "
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"input sequences.");
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AddComment(R"DOC(
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Sequence Erase Operator.
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Sequence erase operator erases tokens specified by Attr(tokens) from the input
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sequences Input(X), and outputs the remaining data and modifies the LoD
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information at the same time. For example, given a 2-D LoDTensor
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X = [[2, 2, 6, 1, 3, 9, 6, 1, 0, 1]]^T
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with lod = [[0, 3, 6, 10]], there are three sequences in the input:
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X1 = [[2, 2, 6]]^T, X2 = [[1, 3, 9]]^T and X3 = [[6, 1, 0, 1]]^T.
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If the tokens to be erased are Attr(tokens) = [2, 3, 5], after the erasing
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operation, the three sequences become
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X1' = [[6]]^T, X2' = [[1, 9]]^T and X3' = [[6, 1, 0, 1]]^T.
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Hence the LoDTensor Output(Out) should be
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Out = [[6, 1, 9, 6, 1, 0, 1]]^T,
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with lod = [[0, 1, 3, 7]].
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An example usage for this operator is to remove the special tokens when
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computing the edit distance between two strings, such as blank, start token,
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and end token.
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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_WITHOUT_GRADIENT(sequence_erase, ops::SequenceEraseOp,
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ops::SequenceEraseOpMaker);
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REGISTER_OP_CPU_KERNEL(
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sequence_erase,
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ops::SequenceEraseKernel<paddle::platform::CPUDeviceContext, int32_t>,
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ops::SequenceEraseKernel<paddle::platform::CPUDeviceContext, int64_t>);
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