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FastDeploy/custom_ops/gpu_ops/stop_generation_multi_stop_seqs.cu
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2025-07-07 16:53:14 +08:00

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// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include <fcntl.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <sys/mman.h>
#include <sys/stat.h>
#include <sys/types.h>
#include <unistd.h>
#include "paddle/extension.h"
#include "helper.h"
#ifndef PD_BUILD_STATIC_OP
#define PD_BUILD_STATIC_OP(name) PD_BUILD_OP(static_op_##name)
#endif
__global__ void set_value_by_stop_seqs(bool *stop_flags,
int64_t *topk_ids,
const int64_t *pre_ids,
const int64_t *step_idx,
const int64_t *stop_seqs,
const int *stop_seqs_len,
const int *seq_lens,
const int64_t *end_ids,
const int bs,
const int stop_seqs_bs,
const int stop_seqs_max_len,
const int pre_ids_len) {
const int bid = blockIdx.x;
const int tid = threadIdx.x;
if (tid >= stop_seqs_bs) return;
const int stop_seq_len = stop_seqs_len[tid];
if (stop_seq_len <= 0) return;
const int64_t *stop_seq_now = stop_seqs + tid * stop_seqs_max_len;
const int64_t *pre_ids_now = pre_ids + bid * pre_ids_len;
const int64_t step_idx_now = step_idx[bid];
if (bid < bs) {
if (stop_flags[bid]) { // 长度超限,当前位置置为2
topk_ids[bid] = end_ids[0];
if (seq_lens[bid] == 0) { // 已终止,当前位置置为-1
topk_ids[bid] = -1;
}
return;
}
bool is_end = true;
int count = 1;
if (topk_ids[bid] == end_ids[0]) {
if (tid == 0) {
stop_flags[bid] = true;
}
return;
}
for (int i = stop_seq_len - 1; i >= 0; --i) {
if ((step_idx_now - count) < 0 ||
pre_ids_now[step_idx_now - count++] != stop_seq_now[i]) {
is_end = false;
break;
}
}
if (is_end) {
topk_ids[bid] = end_ids[0];
stop_flags[bid] = true;
}
}
}
void GetStopFlagsMultiSeqs(const paddle::Tensor &topk_ids,
const paddle::Tensor &pre_ids,
const paddle::Tensor &step_idx,
const paddle::Tensor &stop_flags,
const paddle::Tensor &seq_lens,
const paddle::Tensor &stop_seqs,
const paddle::Tensor &stop_seqs_len,
const paddle::Tensor &end_ids) {
PD_CHECK(topk_ids.dtype() == paddle::DataType::INT64);
PD_CHECK(stop_flags.dtype() == paddle::DataType::BOOL);
#ifdef PADDLE_WITH_CUSTOM_DEVICE
auto dev_ctx = static_cast<const phi::CustomContext*>(paddle::experimental::DeviceContextPool::Instance().Get(topk_ids.place()));
auto cu_stream = dev_ctx->stream();
#else
auto cu_stream = topk_ids.stream();
#endif
std::vector<int64_t> shape = topk_ids.shape();
std::vector<int64_t> stop_seqs_shape = stop_seqs.shape();
int bs_now = shape[0];
int stop_seqs_bs = stop_seqs_shape[0];
int stop_seqs_max_len = stop_seqs_shape[1];
int pre_ids_len = pre_ids.shape()[1];
int block_size = (stop_seqs_bs + WARP_SIZE - 1) / WARP_SIZE * WARP_SIZE;
set_value_by_stop_seqs<<<bs_now, block_size, 0, cu_stream>>>(
const_cast<bool *>(stop_flags.data<bool>()),
const_cast<int64_t *>(topk_ids.data<int64_t>()),
pre_ids.data<int64_t>(),
step_idx.data<int64_t>(),
stop_seqs.data<int64_t>(),
stop_seqs_len.data<int>(),
seq_lens.data<int>(),
end_ids.data<int64_t>(),
bs_now,
stop_seqs_bs,
stop_seqs_max_len,
pre_ids_len);
}
PD_BUILD_STATIC_OP(set_stop_value_multi_seqs)
.Inputs({"topk_ids",
"pre_ids",
"step_idx",
"stop_flags",
"seq_lens",
"stop_seqs",
"stop_seqs_len",
"end_ids"})
.Outputs({"topk_ids_out", "stop_flags_out"})
.SetInplaceMap({{"topk_ids", "topk_ids_out"},
{"stop_flags", "stop_flags_out"}})
.SetKernelFn(PD_KERNEL(GetStopFlagsMultiSeqs));