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83 lines
2.8 KiB
83 lines
2.8 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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#pragma once
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#include <string.h>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/math/math_function.h"
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namespace paddle {
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namespace operators {
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using Tensor = framework::Tensor;
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using LoDTensor = framework::LoDTensor;
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template <typename DeviceContext, typename T>
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class CTCAlignKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const override {
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auto* input = ctx.Input<LoDTensor>("Input");
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auto* output = ctx.Output<LoDTensor>("Output");
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const size_t level = 0;
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auto input_lod = framework::ToAbsOffset(input->lod());
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// check input dims and lod
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auto input_dims = input->dims();
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PADDLE_ENFORCE_EQ(input_dims[0],
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static_cast<int64_t>(input_lod[level].back()),
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"The first dimension of Input(Input) should be equal to "
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"the sum of all sequences' lengths.");
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const size_t num_sequences = input_lod[level].size() - 1;
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size_t blank = static_cast<size_t>(ctx.Attr<int>("blank"));
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bool merge_repeated = ctx.Attr<bool>("merge_repeated");
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// merge repeated tokens and delete blank
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T* output_data = output->mutable_data<T>(ctx.GetPlace());
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size_t output_idx = 0;
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std::vector<size_t> output_lod0(1, 0);
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const T* input_data = input->data<T>();
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for (size_t seq_idx = 0; seq_idx < num_sequences; ++seq_idx) {
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T prev_token = -1;
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for (size_t i = input_lod[level][seq_idx];
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i < input_lod[level][seq_idx + 1]; ++i) {
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if ((unsigned)input_data[i] != blank &&
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!(merge_repeated && input_data[i] == prev_token)) {
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output_data[output_idx] = input_data[i];
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++output_idx;
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}
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prev_token = input_data[i];
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}
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output_lod0.push_back(output_idx);
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}
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// set output lod
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framework::LoD output_lod;
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output_lod.push_back(output_lod0);
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output->set_lod(output_lod);
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// resize output dims
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output->Resize({static_cast<int64_t>(output_lod0.back()), 1});
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// for empty sequence
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if (output_lod0.back() == 0) {
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output->Resize({1, 1});
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output_data = output->mutable_data<T>(ctx.GetPlace());
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output_data[0] = -1;
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}
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}
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};
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} // namespace operators
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} // namespace paddle
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