[LLM] First commit the llm deployment code

This commit is contained in:
jiangjiajun
2025-06-09 19:20:15 +08:00
parent 980c0a1d2c
commit 684703fd72
11814 changed files with 127294 additions and 1293102 deletions

View File

@@ -0,0 +1,146 @@
// 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 "helper.h" // NOLINT
template <int THREADBLOCK_SIZE>
__global__ void speculate_update(int *seq_lens_encoder,
int *seq_lens_decoder,
bool *not_need_stop,
int64_t *draft_tokens,
int *actual_draft_token_nums,
const int64_t *accept_tokens,
const int *accept_num,
const bool *stop_flags,
const int *seq_lens_this_time,
const bool *is_block_step,
const int real_bsz,
const int max_draft_tokens) {
const int bid = threadIdx.x;
const int accept_num_now = accept_num[bid];
int stop_flag_now_int = 0;
if (!(is_block_step[bid] || bid >= real_bsz)) {
if (stop_flags[bid]) {
stop_flag_now_int = 1;
}
if (seq_lens_encoder[bid] == 0) {
seq_lens_decoder[bid] += accept_num_now;
}
if (seq_lens_this_time[bid] > 1 &&
seq_lens_encoder[bid] ==
0) { // 对于append模式需要根据接收与否确定是否要降低下次draft
// token的数量
auto current_actual_draft_token_num = actual_draft_token_nums[bid];
if (accept_num_now - 1 == current_actual_draft_token_num) {
if (current_actual_draft_token_num + 2 <=
max_draft_tokens - 1) {
actual_draft_token_nums[bid] =
current_actual_draft_token_num + 2;
} else if (current_actual_draft_token_num + 1 <=
max_draft_tokens - 1) {
actual_draft_token_nums[bid] =
current_actual_draft_token_num + 1;
} else {
actual_draft_token_nums[bid] = max_draft_tokens - 1;
}
} else {
actual_draft_token_nums[bid] =
actual_draft_token_nums[bid] - 1 >= 1
? actual_draft_token_nums[bid] - 1
: 1;
}
}
if (seq_lens_encoder[bid] != 0) {
seq_lens_decoder[bid] += seq_lens_encoder[bid];
seq_lens_encoder[bid] = 0;
}
draft_tokens[bid * max_draft_tokens] =
accept_tokens[bid * max_draft_tokens + accept_num_now - 1];
if (stop_flag_now_int) {
seq_lens_decoder[bid] = 0;
}
}
__syncthreads();
typedef cub::BlockReduce<int64_t, THREADBLOCK_SIZE> BlockReduce;
__shared__ typename BlockReduce::TempStorage temp_storage;
// printf("stop_flag_now_int %d \n", stop_flag_now_int);
int64_t stop_sum = BlockReduce(temp_storage).Sum(stop_flag_now_int);
if (threadIdx.x == 0) {
// printf("stop_sum %d \n", stop_sum);
not_need_stop[0] = stop_sum < real_bsz;
}
}
void SpeculateUpdateV2(const paddle::Tensor &seq_lens_encoder,
const paddle::Tensor &seq_lens_decoder,
const paddle::Tensor &not_need_stop,
const paddle::Tensor &draft_tokens,
const paddle::Tensor &actual_draft_token_nums,
const paddle::Tensor &accept_tokens,
const paddle::Tensor &accept_num,
const paddle::Tensor &stop_flags,
const paddle::Tensor &seq_lens_this_time,
const paddle::Tensor &is_block_step) {
int real_bsz = seq_lens_this_time.shape()[0];
auto max_draft_tokens = draft_tokens.shape()[1];
constexpr int BlockSize = 512;
auto not_need_stop_gpu = not_need_stop.copy_to(stop_flags.place(), false);
speculate_update<BlockSize><<<1, BlockSize, 0, accept_tokens.stream()>>>(
const_cast<int *>(seq_lens_encoder.data<int>()),
const_cast<int *>(seq_lens_decoder.data<int>()),
const_cast<bool *>(not_need_stop_gpu.data<bool>()),
const_cast<int64_t *>(draft_tokens.data<int64_t>()),
const_cast<int *>(actual_draft_token_nums.data<int>()),
accept_tokens.data<int64_t>(),
accept_num.data<int>(),
stop_flags.data<bool>(),
seq_lens_this_time.data<int>(),
is_block_step.data<bool>(),
real_bsz,
max_draft_tokens);
auto not_need_stop_cpu =
not_need_stop_gpu.copy_to(not_need_stop.place(), true);
bool *not_need_stop_data = const_cast<bool *>(not_need_stop.data<bool>());
not_need_stop_data[0] = not_need_stop_cpu.data<bool>()[0];
}
PD_BUILD_STATIC_OP(speculate_update_v2)
.Inputs({"seq_lens_encoder",
"seq_lens_decoder",
"not_need_stop",
"draft_tokens",
"actual_draft_token_nums",
"accept_tokens",
"accept_num",
"stop_flags",
"seq_lens_this_time",
"is_block_step"})
.Outputs({"seq_lens_encoder_out",
"seq_lens_decoder_out",
"not_need_stop_out",
"draft_tokens_out",
"actual_draft_token_nums_out"})
.SetInplaceMap({{"seq_lens_encoder", "seq_lens_encoder_out"},
{"seq_lens_decoder", "seq_lens_decoder_out"},
{"not_need_stop", "not_need_stop_out"},
{"draft_tokens", "draft_tokens_out"},
{"actual_draft_token_nums", "actual_draft_token_nums_out"}})
.SetKernelFn(PD_KERNEL(SpeculateUpdateV2));