wehub-resource-sync
97 lines
3.3 KiB
Plaintext
97 lines
3.3 KiB
Plaintext
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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/phi/kernels/gather_tree_kernel.h"
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#include <algorithm>
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#include "paddle/phi/core/enforce.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T>
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__global__ void GatherTree(const T *ids_data,
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const T *parents_data,
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T *out_data,
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const int64_t max_length,
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const int64_t batch_size,
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const int64_t beam_size) {
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CUDA_KERNEL_LOOP(i, batch_size * beam_size) {
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int batch = i / beam_size;
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int beam = i % beam_size;
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auto idx =
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(max_length - 1) * batch_size * beam_size + 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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PADDLE_ENFORCE((parent < beam_size),
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"The parents must be less than beam size, but received "
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"parents %ld is greater than or equal to beam size %ld. ",
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parent,
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beam_size);
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PADDLE_ENFORCE(
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(parent >= 0),
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"The parents must be greater than or equal to 0, but received "
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"parents %ld is less than 0. ",
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parent);
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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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template <typename T, typename Context>
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void GatherTreeKernel(const Context &dev_ctx,
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const DenseTensor &ids,
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const DenseTensor &parents,
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DenseTensor *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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T *out_data = dev_ctx.template Alloc<T>(out);
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if (out && out->numel() == 0) {
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return;
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}
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PADDLE_ENFORCE_NOT_NULL(ids_data,
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common::errors::InvalidArgument(
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"Input(Ids) of gather_tree should not be null."));
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PADDLE_ENFORCE_NOT_NULL(
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parents_data,
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common::errors::InvalidArgument(
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"Input(Parents) of gather_tree should not be null."));
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auto &ids_dims = ids.dims();
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int64_t max_length = ids_dims[0];
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int64_t batch_size = ids_dims[1];
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int64_t beam_size = ids_dims[2];
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const int block = 512;
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int max_threads =
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std::min(static_cast<int64_t>(dev_ctx.GetMaxPhysicalThreadCount()),
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batch_size * beam_size);
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const int grid = std::max(max_threads / block, 1);
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GatherTree<<<grid, block>>>(
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ids_data, parents_data, out_data, max_length, batch_size, beam_size);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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gather_tree, GPU, ALL_LAYOUT, phi::GatherTreeKernel, int, int64_t) {}
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