Files
FastDeploy/fastdeploy/cache_manager/cache_metrics.py
kevin 8aab4e367f [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>
2025-10-27 17:39:51 +08:00

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