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90 lines
3.7 KiB
Plaintext
90 lines
3.7 KiB
Plaintext
// Copyright (c) 2024 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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#include "helper.h"
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#ifndef PD_BUILD_STATIC_OP
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#define PD_BUILD_STATIC_OP(name) PD_BUILD_OP(static_op_##name)
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#endif
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__global__ void set_value_by_flag_and_id(const bool *stop_flags,
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int64_t *pre_ids_all,
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const int64_t *input_ids,
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const int *seq_lens_encoder,
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const int *seq_lens_decoder,
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const int64_t *step_idx,
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int bs,
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int length,
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int length_input_ids) {
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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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const int64_t *input_ids_now = input_ids + tid * length_input_ids;
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const int seq_len_dec = seq_lens_decoder[tid];
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const int seq_len_enc = seq_lens_encoder[tid];
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if (seq_len_dec == 0 && seq_len_enc == 0) return; // stoped
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if (step_idx[tid] >= 0) {
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if (seq_len_enc > 0) { // encoder, get last token accord to seq_lens_encoder
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pre_ids_all_now[step_idx[tid]] = input_ids_now[seq_len_enc - 1];
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} else { // decoedr, get first token
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pre_ids_all_now[step_idx[tid]] = input_ids_now[0];
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}
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}
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}
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}
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void SetValueByFlagsAndIdx(const paddle::Tensor &pre_ids_all,
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const paddle::Tensor &input_ids,
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const paddle::Tensor &seq_lens_this_time,
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const paddle::Tensor &seq_lens_encoder,
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const paddle::Tensor &seq_lens_decoder,
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const paddle::Tensor &step_idx,
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const paddle::Tensor &stop_flags) {
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#ifdef PADDLE_WITH_CUSTOM_DEVICE
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auto dev_ctx = static_cast<const phi::CustomContext*>(paddle::experimental::DeviceContextPool::Instance().Get(stop_flags.place()));
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auto cu_stream = dev_ctx->stream();
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#else
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auto cu_stream = stop_flags.stream();
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#endif
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std::vector<int64_t> pre_ids_all_shape = pre_ids_all.shape();
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int bs = seq_lens_this_time.shape()[0];
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int length = pre_ids_all_shape[1];
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int length_input_ids = input_ids.shape()[1];
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int block_size = (bs + WARP_SIZE - 1) / WARP_SIZE * WARP_SIZE;
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set_value_by_flag_and_id<<<1, block_size, 0, cu_stream>>>(
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stop_flags.data<bool>(),
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const_cast<int64_t *>(pre_ids_all.data<int64_t>()),
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input_ids.data<int64_t>(),
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seq_lens_encoder.data<int>(),
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seq_lens_decoder.data<int>(),
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step_idx.data<int64_t>(),
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bs,
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length,
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length_input_ids);
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}
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PD_BUILD_STATIC_OP(set_value_by_flags_and_idx)
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.Inputs({"pre_ids_all",
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"input_ids",
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"seq_lens_this_time",
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"seq_lens_encoder",
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"seq_lens_decoder",
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"step_idx",
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"stop_flags"})
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.Outputs({"pre_ids_all_out"})
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.SetInplaceMap({{"pre_ids_all", "pre_ids_all_out"}})
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.SetKernelFn(PD_KERNEL(SetValueByFlagsAndIdx));
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