checkpoint是将某些关键RDD的计算结果持久化到文件系统,当task错误恢复时,调度系统会从checkpoint过的RDD开始计算,而不会从头计算。 二者区别和联系: 缓存是临时性的,如果发生错误,重新恢复后缓存失效,而且在使用结束后,应该主动清楚缓存; checkpoint会将RDD相关数据和信息存储到文件系统,错误恢复时可以从文件系统将RDD重...
from .checkpoint import CheckpointHook 1. 3、装饰器函数作用 python装饰器函数,将类名和类添加到HOOKS._module_dict中,类似下面这种语法。 #通过装饰器方式 把key-value添加到字典中self._module_dict[name] = module_class @HOOKS.register_module() class CheckpointHook(Hook): #这里需要注意,所有的这些子类...
result= s.request(method=method,url=ip+url,headers=headers,json=body) r=json.loads(result.text)assertcheckpointinr['message'] logging.info("pass"+casename +""+url)
@@ -69,7 +69,7 @@ clean: ## remove all build, testing, and static documentation file @find . -name '.ipynb_checkpoints' -exec rm -rf {} +@echo "=> Source cleaned successfully"deep-clean: clean destroy-venv destroy-node_modules ## Clean everything up ...
Describe the bug when running pytest ./tests/unit/checkpoint/test_lr_scheduler.py It fails with ___ TestLRSchedulerCheckpoint.test_checkpoint_lr_scheduler[0-False] ___...
from mindnlp._legacy.engine.callbacks import CheckpointCallback, BestModelCallback from mindnlp._legacy.metrics import Accuracy 2.3 报错信息 /home/mindspore/miniconda/envs/jupyter/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class...
checkpoint= bdata['checkpoint'] method= bdata['method'] casename= bdata['casename']ifbdata['datatype']=='json': body= json.loads(bdata['body']) result= s.request(method=method,url=ip+url,headers=headers,json=body) r=json.loads(result.text)assertcheckpointinr['message'] ...
# NOTE: when resuming from a checkpoint, if 'initial_lr' is not saved, # it will be set according to the optimizer params if isinstance(runner.optimizer, dict): self.base_lr = {} for k, optim in runner.optimizer.items(): for group in optim.param_groups: ...
/usr/bin/env python # -*- encoding: utf-8 -*- ''' @Author: 思文伟 ''' importjsonclass JSONCheckpoint(object): """JSON格式数据检查点,支持两个复杂JSON直接比较 java json 对比工具 json python 软件测试 JSON 转载 码农小哥 2023-08-30 07:59:14...
checkpoints mmdetection .eggs MSCOCO build configs demo dist docker mmcv mmdet.egg-info mmdet tests tools LICENSE README.md environment.yml pytest.ini requirements.txt results.txt run.sh setup.py splits.py script .gitattributes .gitignore Docker.md Dockerfile README.md arguments.py cls_models....