wehub-resource-sync
57 lines
2.9 KiB
Plaintext
57 lines
2.9 KiB
Plaintext
// Copyright (c) 2023 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/extension.h"
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__global__ void set_value_by_flag_and_id(const bool *stop_flags, int64_t *pre_ids_all, const int64_t *pre_ids, const int64_t *step_idx, int bs, int length) {
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int tid = threadIdx.x;
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if (tid < bs && !stop_flags[tid]) {
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int64_t *pre_ids_all_now = pre_ids_all + tid * length;
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if (step_idx[tid] >= 0) {
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pre_ids_all_now[step_idx[tid]] = pre_ids[tid];
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}
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}
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}
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std::vector<paddle::Tensor> SetValueByFlagsAndIdx(const paddle::Tensor& pre_ids_all, const paddle::Tensor& pre_ids_now, const paddle::Tensor& step_idx, const paddle::Tensor& stop_flags) {
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auto cu_stream = stop_flags.stream();
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std::vector<int64_t> pre_ids_all_shape = pre_ids_all.shape();
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auto stop_flags_out = stop_flags.copy_to(stop_flags.place(), false); // gpu -> gpu
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int bs = stop_flags.shape()[0];
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int length = pre_ids_all_shape[1];
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int block_size = (bs + 32 - 1) / 32 * 32;
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set_value_by_flag_and_id<<<1, block_size, 0, cu_stream>>>(stop_flags.data<bool>(), const_cast<int64_t*>(pre_ids_all.data<int64_t>()), pre_ids_now.data<int64_t>(), step_idx.data<int64_t>(), bs, length);
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return {stop_flags_out};
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}
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std::vector<std::vector<int64_t>> SetValueByFlagsAndIdxInferShape(const std::vector<int64_t>& pre_ids_all_shape, const std::vector<int64_t>& pre_ids_now_shape,
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const std::vector<int64_t>& step_idx_shape, const std::vector<int64_t>& stop_flags_shape) {
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return {stop_flags_shape};
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}
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std::vector<paddle::DataType> SetValueByFlagsAndIdxInferDtype(const paddle::DataType& pre_ids_all_dtype,
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const paddle::DataType& pre_ids_now_dtype,
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const paddle::DataType& step_idx_dtype,
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const paddle::DataType& stop_flags_dtype) {
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return {stop_flags_dtype};
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}
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PD_BUILD_OP(set_value_by_flags_and_idx)
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.Inputs({"pre_ids_all", "pre_ids_now", "step_idx", "stop_flags"})
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.Outputs({"stop_flags_out"})
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.SetKernelFn(PD_KERNEL(SetValueByFlagsAndIdx))
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.SetInferShapeFn(PD_INFER_SHAPE(SetValueByFlagsAndIdxInferShape))
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.SetInferDtypeFn(PD_INFER_DTYPE(SetValueByFlagsAndIdxInferDtype));
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