Hi, there, I am facing on a problem for missing one library. I checked the mmcv and found there is no sync_bn.py. Please let me know how to handle this. Thank you very much! Best, Mike Contributor Luca-WiehecommentedNov 23, 2024• ...
from mmcv.utils import Registry # create a registry for converters CONVERTERS = Registry('converter') # create a build function def build_converter(cfg, *args, **kwargs): cfg_ = cfg.copy() converter_type = cfg_.pop('type') if converter_type not in CONVERTERS: raise KeyError(f'Unrecogni...
copying mmcv\utils\config.py -> build\lib.win-amd64-3.7\mmcv\utils copying mmcv\utils\env.py -> build\lib.win-amd64-3.7\mmcv\utils copying mmcv\utils\ext_loader.py -> build\lib.win-amd64-3.7\mmcv\utils copying mmcv\utils\logging.py -> build\lib.win-amd64-3.7\mmcv\utils copying m...
AI代码解释 # https://github.com/open-mmlab/mmcv/blob/master/mmcv/runner/hooks/checkpoint.pyclassCheckpointHook(Hook):"""保存 checkpoint"""def__init__(self,interval=-1,by_epoch=True,save_optimizer=True,out_dir=None,max_keep_ckpts=-1,save_last=True,sync_buffer=False,file_client_args=None...
-- cnn: 不同层define、registry、build -- bricks: 基础层(conv、relu、bn、padding..etc) ./mmcv.cnn.bricks.registry.py from mmcv.utils import Registry # 给每个层定义一个容器,相当于归类管理方便 CONV_LAYERS = Registry('conv layer') NORM_LAYERS = Registry('norm layer') ACTIVATION_LAYERS = ...
copying mmcv/cnn/bricks/depthwise_separable_conv_module.py -> build/lib.linux-x86_64-3.8/mmcv/cnn/bricks creating build/lib.linux-x86_64-3.8/mmcv/cnn/utils copying mmcv/cnn/utils/weight_init.py -> build/lib.linux-x86_64-3.8/mmcv/cnn/utils ...
-- cnn: 不同层define、registry、build -- bricks: 基础层(conv、relu、bn、padding..etc) ./mmcv.cnn.bricks.registry.py from mmcv.utils import Registry # 给每个层定义一个容器,相当于归类管理方便 CONV_LAYERS = Registry('conv layer') NORM_LAYERS = Registry('norm layer') ACTIVATION_LAYERS = ...
注意: 包含文件: C:\ProgramData\Anaconda3\envs\xyy_mmd2_15\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/utils/convert_parameters.h 注意: 包含文件: C:\ProgramData\Anaconda3\envs\xyy_mmd2_15\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim.h 注意: 包含...
cnn.utils import initialize class FooNet(nn.Module): def __init__(self): super().__init__() self.feat = nn.Conv1d(3, 1, 3) self.reg = nn.Conv2d(3, 3, 3) self.cls = nn.Linear(1,2) model = FooNet() init_cfg = [dict(type='Constant', layer='Conv1d', val=1), ...
3.286 copying mmcv/cnn/rfsearch/operator.py -> build/lib.linux-aarch64-3.11/mmcv/cnn/rfsearch 3.286 creating build/lib.linux-aarch64-3.11/mmcv/cnn/utils 3.286 copying mmcv/cnn/utils/init.py -> build/lib.linux-aarch64-3.11/mmcv/cnn/utils 3.286 copying mmcv/cnn/utils/fuse_conv_bn.py ...