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59 lines
1.9 KiB
59 lines
1.9 KiB
5 years ago
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/* Copyright (c) 2019 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 "paddle/fluid/framework/eigen.h"
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#include "paddle/fluid/framework/op_registry.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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template <typename T>
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class GatherTreeOpKernel : 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 *ids = ctx.Input<Tensor>("Ids");
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auto *parents = ctx.Input<Tensor>("Parents");
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auto *out = ctx.Output<Tensor>("Out");
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const auto *ids_data = ids->data<T>();
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const auto *parents_data = parents->data<T>();
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auto *out_data = out->mutable_data<T>(ctx.GetPlace());
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auto &ids_dims = ids->dims();
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auto max_length = ids_dims[0];
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auto batch_size = ids_dims[1];
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auto beam_size = ids_dims[2];
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for (int batch = 0; batch < batch_size; batch++) {
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for (int beam = 0; beam < beam_size; beam++) {
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auto idx = (max_length - 1) * batch_size * beam_size +
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batch * beam_size + beam;
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out_data[idx] = ids_data[idx];
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auto parent = parents_data[idx];
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for (int step = max_length - 2; step >= 0; step--) {
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idx = step * batch_size * beam_size + batch * beam_size;
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out_data[idx + beam] = ids_data[idx + parent];
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parent = parents_data[idx + parent];
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}
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}
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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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