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93 lines
3.0 KiB
93 lines
3.0 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/ctc_align_op.h"
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namespace paddle {
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namespace operators {
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class CTCAlignOp : 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("Input"),
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"Input of CTCAlignOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Output"),
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"Output of CTCAlignOp should not be null.");
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auto input_dims = ctx->GetInputDim("Input");
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// TODO(wanghaoshuang): it is tricky to set the wrong dimension here.
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ctx->SetOutputDim("Output", input_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>("Input")->type()),
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ctx.device_context());
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}
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};
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class CTCAlignOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("Input",
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"(LodTensor, default: LoDTensor<int>), Its shape is "
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"[Lp, 1], where Lp is the sum of all input sequences' length.");
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AddOutput("Output", "(Tensor, default: Tensor<int>), The align result.");
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AddAttr<int>("blank",
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"(int, default: 0), the blank label setted in Connectionist "
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"Temporal Classification (CTC) op.")
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.SetDefault(0);
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AddAttr<bool>("merge_repeated",
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"(bool, default: true), whether to "
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"merge repeated elements between two blanks. ")
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.SetDefault(true);
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AddComment(R"DOC(
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CTCAlign op is used to merge repeated elements between two blanks
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and then delete all blanks in sequence.
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Given:
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Input.data = [0, 1, 2, 2, 0, 4, 0, 4, 5, 0, 6,
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6, 0, 0, 7, 7, 7, 0]
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Input.dims = {18, 1}
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Input.LoD = [[0, 11, 18]]
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And:
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blank = 0
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merge_repeated = True
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Then:
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Output.data = [1, 2, 4, 4, 5, 6,
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6, 7]
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Output.dims = {8, 1}
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Output.LoD = [[0, 6, 8]]
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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_OPERATOR(ctc_align, ops::CTCAlignOp, ops::CTCAlignOpMaker,
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paddle::framework::EmptyGradOpMaker);
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REGISTER_OP_CPU_KERNEL(
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ctc_align, ops::CTCAlignKernel<paddle::platform::CPUDeviceContext, int>,
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ops::CTCAlignKernel<paddle::platform::CPUDeviceContext, int64_t>);
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