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[Feature] mm support prefix cache (#4134)
* support mm prefix caching * update code * fix mm_hashes * support encoder cache * add encoder cache * update code * update encoder cache * fix features bug * fix worker bug * support processor cache, need to optimize yet * refactor multimodal data cache * update code * update code * update v1 scheduler * update code * update code * update codestyle * support turn off processor cache and encoder cache * update pre-commit * fix code * solve review * update code * update code * update test case * set processor cache in GiB * update test case * support mm prefix caching for qwen model * fix code style check * update pre-commit * fix unit test * fix unit test * add ci test case * fix rescheduled bug * change text_after_process to prompt_tokens * fix unit test * fix chat template * change model path * [EP] fix adapter bugs (#4572) * Update expert_service.py * Update common_engine.py * Update expert_service.py * fix v1 hang bug (#4573) * fix import image_ops error on some platforms (#4559) * [CLI]Update parameters in bench latecy cli tool and fix collect-env cli tool (#4558) * add collect-env * del files * [Graph Optimization] Add dy_runnable and introduce cudagraph_switch_threshold for cudagraph mode switching (#4578) * add new branch for sot * reorder * fix batch bug * [XPU]Moe uses a new operator (#4585) * [XPU]Moe uses a new operator * [XPU]Moe uses a new operator * update response * [Feature] Support Paddle-OCR (#4396) * init * update code * fix code style & disable thinking * adapt for common_engine.update_mm_requests_chunk_size * use 3d rope * use flash_attn_unpadded * opt siglip * update to be compatible with the latest codebase * fix typo * optim OCR performance * fix bug * fix bug * fix bug * fix bug * normlize name * modify xpu rope * revert logger * fix bug * fix bug * fix bug * support default_v1 * optim performance * fix bug --------- Co-authored-by: root <root@szzj-acg-tge1-fdda9.szzj.baidu.com> Co-authored-by: zhangyue66 <zhangyue66@baidu.com> * [DataProcessor] add reasoning_tokens into usage info (#4520) * add reasoning_tokens into usage info initial commit * add unit tests * modify unit test * modify and add unit tests * fix unit test * move steam usage to processor * modify processor * modify test_logprobs * modify test_logprobs.py * modify stream reasoning tokens accumulation * fix unit test * perf: Optimize task queue communication from engine to worker (#4531) * perf: Optimize task queue communication from engine to worker * perf: get_tasks to numpy * perf: get_tasks remove to_numpy * fix: request & replace ENV * remove test_e2w_perf.py * fix code style --------- Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com> * Clean up ports after processing results (#4587) * [CI] Add /re-run command in PR comments to restart failed CI workflows (#4593) * [Others] api server exits when worker process is dead (#3271) * [fix] fix terminal hangs when worker process is dead * [chore] change sleep time of monitor * [chore] remove redundant comments * update docs --------- Co-authored-by: ApplEOFDiscord <wwy640130@163.com> Co-authored-by: ApplEOFDiscord <31272106+ApplEOFDiscord@users.noreply.github.com> Co-authored-by: ltd0924 <32387785+ltd0924@users.noreply.github.com> Co-authored-by: yinwei <yinwei_hust@163.com> Co-authored-by: JYChen <zoooo0820@qq.com> Co-authored-by: qwes5s5 <45442318+qwes5s5@users.noreply.github.com> Co-authored-by: Ryan <zihaohuang@aliyun.com> Co-authored-by: yyssys <atyangshuang@foxmail.com> Co-authored-by: ming1753 <61511741+ming1753@users.noreply.github.com> Co-authored-by: root <root@szzj-acg-tge1-fdda9.szzj.baidu.com> Co-authored-by: zhangyue66 <zhangyue66@baidu.com> Co-authored-by: kxz2002 <115912648+kxz2002@users.noreply.github.com> Co-authored-by: SunLei <sunlei5788@gmail.com> Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com> Co-authored-by: Zhang Yulong <35552275+ZhangYulongg@users.noreply.github.com> Co-authored-by: YuBaoku <49938469+EmmonsCurse@users.noreply.github.com> Co-authored-by: 李泳桦 <39643373+liyonghua0910@users.noreply.github.com>
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@@ -18,10 +18,9 @@ import threading
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import time
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from typing import Dict, List, Optional, Tuple
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from fastdeploy import envs
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from fastdeploy.engine.request import Request, RequestOutput
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from fastdeploy.scheduler.data import ScheduledRequest, ScheduledResponse
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from fastdeploy.utils import scheduler_logger
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from fastdeploy.utils import envs, scheduler_logger
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class LocalScheduler:
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@@ -247,35 +246,40 @@ class LocalScheduler:
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self.wait_request_timeout,
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)
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required_total_blocks = 0
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current_prefill_tokens = 0
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requests: List[Request] = []
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long_partial_requests, short_partial_requests = 0, 0
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for request_id in batch_ids:
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request = self.requests[request_id]
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required_input_blocks = self.calc_required_blocks(request.prompt_tokens_ids_len, block_size)
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current_prefill_tokens += request.prompt_tokens_ids_len
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required_total_blocks += required_input_blocks + reserved_output_blocks
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if required_total_blocks > available_blocks:
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break
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if not envs.ENABLE_V1_KVCACHE_SCHEDULER:
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required_total_blocks = 0
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current_prefill_tokens = 0
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long_partial_requests, short_partial_requests = 0, 0
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for request_id in batch_ids:
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request = self.requests[request_id]
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required_input_blocks = self.calc_required_blocks(request.prompt_tokens_ids_len, block_size)
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current_prefill_tokens += request.prompt_tokens_ids_len
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required_total_blocks += required_input_blocks + reserved_output_blocks
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if required_total_blocks > available_blocks:
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break
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if not envs.FD_ENABLE_MAX_PREFILL:
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if self.enable_chunked_prefill:
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if request.prompt_tokens_ids_len > self.long_prefill_token_threshold:
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# 长请求
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long_partial_requests += 1
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if long_partial_requests > self.max_long_partial_prefills:
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if not envs.FD_ENABLE_MAX_PREFILL:
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if self.enable_chunked_prefill:
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if request.prompt_tokens_ids_len > self.long_prefill_token_threshold:
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# 长请求
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long_partial_requests += 1
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if long_partial_requests > self.max_long_partial_prefills:
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break
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else:
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short_partial_requests += 1
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if short_partial_requests + long_partial_requests > self.max_num_partial_prefills:
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break
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else:
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short_partial_requests += 1
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if current_prefill_tokens > max_num_batched_tokens:
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break
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requests.append(request.raw)
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else:
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for request_id in batch_ids:
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request = self.requests[request_id]
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requests.append(request.raw)
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if short_partial_requests + long_partial_requests > self.max_num_partial_prefills:
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break
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else:
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if current_prefill_tokens > max_num_batched_tokens:
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break
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requests.append(request.raw)
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self.ids_read_cursor += len(requests)
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if len(batch_ids) > 0 and len(requests) == 0:
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