x, y):return x, y# 2 如果开启 AMP,则需要加入开启标志model.fp16_enabled = True# 3 配置 Fp16OptimizerHookoptimizer_config = Fp16OptimizerHook(**cfg.optimizer_config, **fp16_cfg, distributed=distributed)# 4 传递给 runnerrunner.register_training_hooks(cfg.lr_config, optimizer_config,cfg....
如果你之前使用 MMCV 开发自己的项目,会发现要想开启混合精度训练,需要同时配置多个模块,例如给模型设置 fp16_enabled 、启用 Fp16OptimizerHook,还需要给模型的各个接口加上类似 auto_fp16 的装饰器,少写一处都会无法顺利开启混合精度训练。 如果你是 MMGeneration、MMEditing 的用户,并且对 MMDetection 或 MMClassifica...
Runner 链接: https://mmcv.readthedocs.io/zh_CN/latest/understand_mmcv/runner.html EpochBasedRunner 链接: https://github.com/open-mmlab/mmcv/blob/master/mmcv/runner/epoch_based_runner.py IterBasedRunner 链接: https://github.com/open-mmlab/mmcv/blob/master/mmcv/runner/iter_based_runner.py ...
MMEngine 之 Runner 调用流程浅析 OpenMMLab 小助手:OpenMMLabwx 微信公众号同名 本文来自社区投稿,作者 @奔跑的日月 近期OpenMMLab 开源了一个新的库MMEngine,根据官方描述,新版MMCV保留了部分之前的算子(operators),并新增了一些变换(transf… mmcv中的混合精度训练@auto_fp16 ...
copying mmcv\runner\epoch_based_runner.py -> build\lib.win-amd64-3.8\mmcv\runner copying mmcv\runner\fp16_utils.py -> build\lib.win-amd64-3.8\mmcv\runner copying mmcv\runner\iter_based_runner.py -> build\lib.win-amd64-3.8\mmcv\runner copying mmcv\runner\log_buffer.py -> build\lib....
File "/root/nju/mmcv/mmcv/runner/fp16_utils.py", line 149, in new_func output = old_func(*new_args, **new_kwargs) File "/root/nju/mmdetection/mmdet/models/detectors/base.py", line 172, in forward return self.forward_train(img, img_metas, **kwargs) ...
core import auto_fp16 from mmdet.ops import ConvModule from ..builder import NECKS from .fpn import FPN 3 changes: 1 addition & 2 deletions 3 mmdet/models/utils/res_layer.py Original file line numberDiff line numberDiff line change @@ -1,7 +1,6 @@ from mmcv.cnn import build_conv...
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如果你之前使用 MMCV 开发自己的项目,会发现要想开启混合精度训练,需要同时配置多个模块,例如给模型设置 fp16_enabled 、启用 Fp16OptimizerHook,还需要给模型的各个接口加上类似 auto_fp16 的装饰器,少写一处都会无法顺利开启混合精度训练。 如果你是 MMGeneration、MMEditing 的用户,并且对 MMDetection 或 MMClassifica...
classEpochBasedRunner(BaseRunner):defrun(self,data_loaders,workflow,max_epochs=None,**kwargs):# 开始运行时调用self.call_hook('before_run')whileself.epoch<self._max_epochs:# 开始 epoch 迭代前调用self.call_hook('before_train_epoch')fori,data_batchinenumerate(self.train_dataloader):# 开始 ite...