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2f473ba966
* qk norm for speculate decode C16 * support mtp in v1_scheduler mode * support mtp rope_3d * support mtp features * add unit test && del some log --------- Co-authored-by: yuanxiaolan <yuanxiaolan01@baidu.com> Co-authored-by: xiaoxiaohehe001 <hiteezsf@163.com>
177 lines
8.1 KiB
Plaintext
177 lines
8.1 KiB
Plaintext
// Copyright (c) 2025 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 "helper.h"
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template <int THREADBLOCK_SIZE>
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__global__ void speculate_schedula_cache(
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const int64_t *draft_tokens,
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int *block_tables,
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bool *stop_flags,
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int *seq_lens_this_time,
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int *seq_lens_decoder,
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int *step_seq_lens_decoder,
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int64_t *step_draft_tokens,
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int *step_seq_lens_this_time,
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int *accept_num,
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int64_t *accept_tokens,
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bool *is_block_step,
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bool *not_need_stop,
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const int64_t *stop_nums,
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const int real_bsz,
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const int max_bsz,
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const int max_next_step_tokens,
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const int draft_tokens_len,
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const int accept_tokens_len,
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const int block_size,
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const int block_num_per_seq) {
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const int bid = threadIdx.x;
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int stop_flag_now_int = 0;
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if (bid < real_bsz) {
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if (!stop_flags[bid]) {
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const int64_t *draft_tokens_now = draft_tokens + bid * draft_tokens_len;
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int64_t *step_draft_tokens_now = step_draft_tokens + bid * draft_tokens_len;
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int *block_table_now = block_tables + bid * block_num_per_seq;
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int64_t *accept_tokens_now = accept_tokens + bid * accept_tokens_len;
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const int max_possible_block_idx = (seq_lens_decoder[bid] + max_next_step_tokens) / block_size;
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if (max_possible_block_idx < block_num_per_seq && block_table_now[max_possible_block_idx] == -1) {
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is_block_step[bid] = true;
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step_seq_lens_this_time[bid] = seq_lens_this_time[bid];
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seq_lens_this_time[bid] = 0;
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stop_flags[bid] = true;
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stop_flag_now_int = 1;
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step_seq_lens_decoder[bid] = seq_lens_decoder[bid];
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seq_lens_decoder[bid] = 0;
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accept_num[bid] = 0;
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for (int i = 0; i < accept_tokens_len; i++) {
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accept_tokens_now[i] = -1;
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}
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for (int i = 0; i < draft_tokens_len; i++) {
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step_draft_tokens_now[i] = draft_tokens_now[i];
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}
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}
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} else {
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stop_flag_now_int = 1;
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}
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} else if (bid >= real_bsz && bid < max_bsz) {
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stop_flag_now_int = 1;
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}
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__syncthreads();
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typedef cub::BlockReduce<int64_t, THREADBLOCK_SIZE> BlockReduce;
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__shared__ typename BlockReduce::TempStorage temp_storage;
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// printf("stop_flag_now_int %d \n", stop_flag_now_int);
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int64_t stop_sum = BlockReduce(temp_storage).Sum(stop_flag_now_int);
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if (threadIdx.x == 0) {
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// printf("stop_sum %d \n", stop_sum);
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not_need_stop[0] = stop_sum < stop_nums[0];
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}
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}
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void SpeculateScheduleCache(const paddle::Tensor &draft_tokens,
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const paddle::Tensor &block_tables,
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const paddle::Tensor &stop_flags,
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const paddle::Tensor &seq_lens_this_time,
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const paddle::Tensor &seq_lens_decoder,
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const paddle::Tensor &step_seq_lens_decoder,
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const paddle::Tensor &step_draft_tokens,
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const paddle::Tensor &step_seq_lens_this_time,
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const paddle::Tensor &accept_num,
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const paddle::Tensor &accept_tokens,
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const paddle::Tensor &is_block_step,
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const paddle::Tensor ¬_need_stop,
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const paddle::Tensor &stop_nums,
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const int block_size,
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const int max_draft_tokens) {
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const int real_bsz = seq_lens_this_time.shape()[0];
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const int max_bsz = stop_flags.shape()[0];
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const int accept_tokens_len = accept_tokens.shape()[1];
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const int draft_token_len = draft_tokens.shape()[1];
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const int block_num_per_seq = block_tables.shape()[1];
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constexpr int BlockSize = 512;
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const int max_next_step_tokens = 2 * max_draft_tokens + 2;
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auto not_need_stop_gpu = not_need_stop.copy_to(stop_flags.place(), false);
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speculate_schedula_cache<BlockSize><<<1, BlockSize, 0, seq_lens_this_time.stream()>>>(
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draft_tokens.data<int64_t>(),
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const_cast<int *>(block_tables.data<int>()),
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const_cast<bool *>(stop_flags.data<bool>()),
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const_cast<int *>(seq_lens_this_time.data<int>()),
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const_cast<int *>(seq_lens_decoder.data<int>()),
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const_cast<int *>(step_seq_lens_decoder.data<int>()),
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const_cast<int64_t *>(step_draft_tokens.data<int64_t>()),
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const_cast<int *>(step_seq_lens_this_time.data<int>()),
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const_cast<int *>(accept_num.data<int>()),
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const_cast<int64_t *>(accept_tokens.data<int64_t>()),
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const_cast<bool *>(is_block_step.data<bool>()),
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const_cast<bool *>(not_need_stop_gpu.data<bool>()),
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stop_nums.data<int64_t>(),
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real_bsz,
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max_bsz,
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max_next_step_tokens,
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draft_token_len,
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accept_tokens_len,
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block_size,
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block_num_per_seq
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);
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auto not_need_stop_cpu =
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not_need_stop_gpu.copy_to(not_need_stop.place(), true);
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bool *not_need_stop_data = const_cast<bool *>(not_need_stop.data<bool>());
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not_need_stop_data[0] = not_need_stop_cpu.data<bool>()[0];
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}
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PD_BUILD_STATIC_OP(speculate_schedule_cache)
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.Inputs({"draft_tokens",
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"block_tables",
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"stop_flags",
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"seq_lens_this_time",
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"seq_lens_decoder",
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"step_seq_lens_decoder",
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"step_draft_tokens",
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"step_seq_lens_this_time",
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"accept_num",
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"accept_tokens",
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"is_block_step",
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"not_need_stop",
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"stop_nums"})
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.Attrs({"block_size: int", "max_draft_tokens: int"})
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.Outputs({"draft_tokens_out",
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"block_tables_out",
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"stop_flags_out",
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"seq_lens_this_time_out",
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"seq_lens_decoder_out",
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"step_seq_lens_decoder_out",
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"step_draft_tokens_out",
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"step_seq_lens_this_time_out",
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"accept_num_out",
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"accept_tokens_out",
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"is_block_step_out",
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"not_need_stop_out"})
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.SetInplaceMap({{"draft_tokens", "draft_tokens_out"},
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{"block_tables", "block_tables_out"},
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{"stop_flags", "stop_flags_out"},
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{"seq_lens_this_time", "seq_lens_this_time_out"},
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{"seq_lens_decoder", "seq_lens_decoder_out"},
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{"step_seq_lens_decoder", "step_seq_lens_decoder_out"},
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{"step_draft_tokens", "step_draft_tokens_out"},
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{"step_seq_lens_this_time", "step_seq_lens_this_time_out"},
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{"accept_num", "accept_num_out"},
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{"accept_tokens", "accept_tokens_out"},
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{"is_block_step", "is_block_step_out"},
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{"not_need_stop", "not_need_stop_out"},})
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.SetKernelFn(PD_KERNEL(SpeculateScheduleCache));
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