mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-12-24 13:28:13 +08:00
* 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>
123 lines
4.5 KiB
Python
123 lines
4.5 KiB
Python
"""
|
|
# Copyright (c) 2025 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.
|
|
"""
|
|
|
|
from fastdeploy.metrics.metrics import main_process_metrics
|
|
from fastdeploy.utils import get_logger
|
|
|
|
logger = get_logger("prefix_cache_manager", "cache_manager.log")
|
|
|
|
|
|
class CacheMetrics:
|
|
"""
|
|
Cache Metrics used to record the cache hit time, token num, request num, etc.
|
|
"""
|
|
|
|
def __init__(self):
|
|
self.total_match_time = 0.0
|
|
self.avg_match_time = 0.0
|
|
self.min_match_time = 1e9
|
|
self.max_match_time = 0.0
|
|
|
|
# request level
|
|
self.req_count = 0
|
|
self.hit_req_count = 0
|
|
self.hit_req_ratio = 0.0
|
|
|
|
# token level
|
|
self.total_gpu_matched_token_num = 0
|
|
self.total_cpu_matched_token_num = 0
|
|
|
|
self.matched_token_num = 0
|
|
self.total_token_num = 0
|
|
self.hit_token_ratio = 0.0
|
|
self.cpu_hit_token_ratio = 0.0
|
|
self.gpu_hit_token_ratio = 0.0
|
|
|
|
def _update_history_hit_metrics(self):
|
|
"""
|
|
update hit ratio
|
|
"""
|
|
self.hit_req_ratio = self.hit_req_count / self.req_count
|
|
self.hit_token_ratio = self.matched_token_num / self.total_token_num
|
|
self.cpu_hit_token_ratio = self.total_cpu_matched_token_num / self.total_token_num
|
|
self.gpu_hit_token_ratio = self.total_gpu_matched_token_num / self.total_token_num
|
|
|
|
main_process_metrics.hit_req_rate.set(self.hit_req_ratio)
|
|
main_process_metrics.hit_token_rate.set(self.hit_token_ratio)
|
|
main_process_metrics.cpu_hit_token_rate.set(self.cpu_hit_token_ratio)
|
|
main_process_metrics.gpu_hit_token_rate.set(self.gpu_hit_token_ratio)
|
|
|
|
logger.info(
|
|
f"Metrics for all requests: req_count {self.req_count} hit_req_count {self.hit_req_count}"
|
|
+ f" hit_req_ratio {self.hit_req_ratio:.2f} hit_token_ratio {self.hit_token_ratio:.2f}"
|
|
+ f" gpu_hit_token_ratio {self.gpu_hit_token_ratio:.2f}"
|
|
+ f" cpu_hit_token_ratio {self.cpu_hit_token_ratio:.2f}"
|
|
+ f" total_gpu_matched_token_num {self.total_gpu_matched_token_num}"
|
|
+ f" total_cpu_matched_token_num {self.total_cpu_matched_token_num}"
|
|
+ f" total_matched_token_num {self.matched_token_num}"
|
|
+ f" total_token_num {self.total_token_num}"
|
|
)
|
|
|
|
def calculate_hit_metrics(
|
|
self,
|
|
req_id,
|
|
current_query_cpu_match_token_num,
|
|
current_query_gpu_match_token_num,
|
|
current_query_token_num,
|
|
):
|
|
"""
|
|
calculate hit metrics for current query
|
|
"""
|
|
|
|
cpu_cache_match_ratio = current_query_cpu_match_token_num / current_query_token_num
|
|
gpu_cache_match_ratio = current_query_gpu_match_token_num / current_query_token_num
|
|
|
|
total_match_ratio = cpu_cache_match_ratio + gpu_cache_match_ratio
|
|
|
|
self.total_cpu_matched_token_num += current_query_cpu_match_token_num
|
|
self.total_gpu_matched_token_num += current_query_gpu_match_token_num
|
|
|
|
self.matched_token_num += current_query_cpu_match_token_num + current_query_gpu_match_token_num
|
|
self.total_token_num += current_query_token_num
|
|
logger.info(
|
|
f"Metrics for req_id {req_id}: token_num {current_query_token_num}"
|
|
+ f" cpu_cache_match_ratio {cpu_cache_match_ratio}"
|
|
+ f" gpu_cache_match_ratio {gpu_cache_match_ratio}"
|
|
+ f" total_match_ratio {total_match_ratio}"
|
|
)
|
|
|
|
def reset_metrics(self):
|
|
"""
|
|
reset metrics
|
|
"""
|
|
self.total_match_time = 0.0
|
|
self.avg_match_time = 0.0
|
|
self.min_match_time = 1e9
|
|
self.max_match_time = 0.0
|
|
|
|
self.req_count = 0
|
|
self.hit_req_count = 0
|
|
self.hit_req_ratio = 0.0
|
|
|
|
self.total_gpu_matched_token_num = 0
|
|
self.total_cpu_matched_token_num = 0
|
|
|
|
self.matched_token_num = 0
|
|
self.total_token_num = 0
|
|
self.hit_token_ratio = 0.0
|
|
self.cpu_hit_token_ratio = 0.0
|
|
self.gpu_hit_token_ratio = 0.0
|