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85a78d695d
* Support FD block scheduler v1 * Support FD block scheduler v1 * Support FD block scheduler v1 * Fix according to copilot review * Fix according to review * Remove is_dummy * Fix bug when real_bsz=1 * Fix infer first token cost time --------- Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com>
92 lines
4.0 KiB
Plaintext
92 lines
4.0 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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__global__ void recover_decode_task(bool *stop_flags,
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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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int *block_tables,
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bool *is_block_step,
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const int bsz,
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const int block_num_per_seq,
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const int block_size) {
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int thread_idx = threadIdx.x;
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if (thread_idx < bsz) {
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if(is_block_step[thread_idx] == true) {
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int *block_table_now = block_tables + thread_idx * block_num_per_seq;
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if (block_table_now[step_seq_lens_decoder[thread_idx] / block_size] != -1) {
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// can be recovered for decoding
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is_block_step[thread_idx] = false;
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seq_lens_this_time[thread_idx]= 1;
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stop_flags[thread_idx] = false;
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seq_lens_encoder[thread_idx] = 0;
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seq_lens_decoder[thread_idx] = step_seq_lens_decoder[thread_idx];
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}
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}
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}
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}
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void RecoverDecodeTask(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_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 &block_tables,
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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*>(paddle::experimental::DeviceContextPool::Instance().Get(seq_lens_this_time.place()));
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auto cu_stream = dev_ctx->stream();
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#else
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auto cu_stream = seq_lens_this_time.stream();
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#endif
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const int bsz = seq_lens_this_time.shape()[0];
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const int block_num_per_seq = block_tables.shape()[1];
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recover_decode_task<<<1, 1024, 0, cu_stream>>>(
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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_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<int *>(block_tables.data<int>()),
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const_cast<bool *>(is_block_step.data<bool>()),
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bsz,
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block_num_per_seq,
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block_size);
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}
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PD_BUILD_STATIC_OP(recover_decode_task)
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.Inputs({"stop_flags",
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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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"block_tables",
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"is_block_step"})
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.Attrs({"block_size: int"})
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.Outputs({"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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"stop_flags_out",
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"is_block_step_out"})
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.SetInplaceMap({{"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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{"stop_flags", "stop_flags_out"},
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{"is_block_step", "is_block_step_out"}})
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.SetKernelFn(PD_KERNEL(RecoverDecodeTask));
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