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198 lines
8.1 KiB
Plaintext
198 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 update_inputs_kernel_v1(bool* not_need_stop,
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int* seq_lens_this_time,
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int* seq_lens_encoder,
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int* seq_lens_decoder,
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int* step_seq_lens_decoder,
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int64_t* prompt_lens,
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int64_t* topk_ids,
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int64_t* input_ids,
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int* block_tables,
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const int64_t* stop_nums,
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bool* stop_flags,
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bool* is_block_step,
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const int64_t* next_tokens,
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const int bsz,
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const int max_bsz,
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const int input_ids_stride,
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const int block_num_per_seq,
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const int block_size,
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bool prefill_one_step_stop) {
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int thread_idx = threadIdx.x;
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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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bool stop_flag_now = false;
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int64_t stop_flag_now_int = 0;
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if (thread_idx < max_bsz) {
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if (thread_idx < bsz) {
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stop_flag_now = stop_flags[thread_idx];
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stop_flag_now_int = static_cast<int64_t>(stop_flag_now);
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} else {
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stop_flag_now_int = 1;
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}
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}
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if (thread_idx < bsz) {
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if (stop_flag_now) {
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seq_lens_this_time[thread_idx] = 0; // stop at next step
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seq_lens_decoder[thread_idx] = 0;
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seq_lens_encoder[thread_idx] = 0;
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} else {
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if (seq_lens_this_time[thread_idx] + seq_lens_decoder[thread_idx] >=
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prompt_lens[thread_idx]) {
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if (prefill_one_step_stop) {
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// prefill done, stop
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stop_flags[thread_idx] = true;
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seq_lens_this_time[thread_idx] = 0;
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seq_lens_decoder[thread_idx] = 0;
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seq_lens_encoder[thread_idx] = 0;
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stop_flag_now_int = 1;
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} else {
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// decoding
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seq_lens_decoder[thread_idx] += seq_lens_this_time[thread_idx];
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seq_lens_this_time[thread_idx] = 1;
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seq_lens_encoder[thread_idx] = 0;
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int64_t* input_ids_now = input_ids + thread_idx * input_ids_stride;
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input_ids_now[0] = next_tokens[thread_idx];
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// to judge whether block is not enough
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int* block_table_now = block_tables + thread_idx * block_num_per_seq;
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if (seq_lens_this_time[thread_idx] != 0 &&
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block_table_now[seq_lens_decoder[thread_idx] / block_size] ==
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-1) {
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// should be scheduled by server
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is_block_step[thread_idx] = true;
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seq_lens_this_time[thread_idx] = 0;
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stop_flags[thread_idx] = true;
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step_seq_lens_decoder[thread_idx] = seq_lens_decoder[thread_idx];
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seq_lens_decoder[thread_idx] = 0;
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stop_flag_now_int = 1;
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}
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}
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} else {
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stop_flags[thread_idx] = true;
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seq_lens_this_time[thread_idx] = 0;
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seq_lens_decoder[thread_idx] = 0;
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seq_lens_encoder[thread_idx] = 0;
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topk_ids[thread_idx] = -1;
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stop_flag_now_int = 1;
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}
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}
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}
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__syncthreads();
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int64_t stop_sum = BlockReduce(temp_storage).Sum(stop_flag_now_int);
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if (thread_idx == 0) {
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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 UpdateInputsV1(const paddle::Tensor& stop_flags,
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const paddle::Tensor& not_need_stop, // only on cpu
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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_seq_lens_decoder,
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const paddle::Tensor& prompt_lens,
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const paddle::Tensor& topk_ids,
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const paddle::Tensor& input_ids,
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const paddle::Tensor& block_tables,
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const paddle::Tensor& stop_nums,
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const paddle::Tensor& next_tokens,
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const paddle::Tensor& is_block_step,
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const int block_size) {
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#ifdef PADDLE_WITH_CUSTOM_DEVICE
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auto dev_ctx = static_cast<const phi::CustomContext*>(
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paddle::experimental::DeviceContextPool::Instance().Get(
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input_ids.place()));
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auto cu_stream = dev_ctx->stream();
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#else
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auto cu_stream = input_ids.stream();
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#endif
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bool prefill_one_step_stop = false;
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if (const char* env_p = std::getenv("PREFILL_NODE_ONE_STEP_STOP_V1")) {
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if (env_p[0] == '1') {
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prefill_one_step_stop = true;
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}
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}
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const int max_bsz = stop_flags.shape()[0];
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const int now_bsz = seq_lens_this_time.shape()[0];
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const int input_ids_stride = input_ids.shape()[1];
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const int block_num_per_seq = block_tables.shape()[1];
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auto not_need_stop_gpu = not_need_stop.copy_to(stop_flags.place(), false);
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update_inputs_kernel_v1<1024><<<1, 1024, 0, cu_stream>>>(
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const_cast<bool*>(not_need_stop_gpu.data<bool>()),
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const_cast<int*>(seq_lens_this_time.data<int>()),
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const_cast<int*>(seq_lens_encoder.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*>(prompt_lens.data<int64_t>()),
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const_cast<int64_t*>(topk_ids.data<int64_t>()),
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const_cast<int64_t*>(input_ids.data<int64_t>()),
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const_cast<int*>(block_tables.data<int>()),
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stop_nums.data<int64_t>(),
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const_cast<bool*>(stop_flags.data<bool>()),
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const_cast<bool*>(is_block_step.data<bool>()),
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next_tokens.data<int64_t>(),
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now_bsz,
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max_bsz,
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input_ids_stride,
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block_num_per_seq,
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block_size,
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prefill_one_step_stop);
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auto not_need_stop_cpu =
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not_need_stop_gpu.copy_to(not_need_stop.place(), false);
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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(update_inputs_v1)
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.Inputs({"stop_flags",
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"not_need_stop",
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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_seq_lens_decoder",
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"prompt_lens",
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"topk_ids",
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"input_ids",
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"block_tables",
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"stop_nums",
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"next_tokens",
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"is_block_step"})
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.Attrs({"block_size: int"})
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.Outputs({"not_need_stop_out",
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"seq_lens_this_time_out",
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"seq_lens_encoder_out",
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"seq_lens_decoder_out",
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"step_seq_lens_decoder_out",
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"topk_ids_out",
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"input_ids_out",
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"stop_flags_out",
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"is_block_step_out"})
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.SetInplaceMap({{"not_need_stop", "not_need_stop_out"},
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{"seq_lens_this_time", "seq_lens_this_time_out"},
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{"seq_lens_encoder", "seq_lens_encoder_out"},
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{"seq_lens_decoder", "seq_lens_decoder_out"},
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{"topk_ids", "topk_ids_out"},
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{"input_ids", "input_ids_out"},
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{"stop_flags", "stop_flags_out"},
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{"step_seq_lens_decoder", "step_seq_lens_decoder_out"},
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{"is_block_step", "is_block_step_out"}})
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.SetKernelFn(PD_KERNEL(UpdateInputsV1));
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