is_module_wrapper 是mmcv.parallel 模块中的一个函数,用于检查给定的模块是否是一个模块包装器。在 MMCV(OpenMMLab 计算机视觉工具箱)中,DataParallel、DistributedDataParallel 和MMDistributedDataParallel(已弃用版本)被视为模块包装器。这个功能在并行处理或分布式训练场景中非常有用,因为它允许你根据模块的类型来调整行为...
MMDistributedDataParallel不需要model.module自动识别 DistributedDataParallelWrapper需要module 猜想:如果不用optimizer hook,自己写,那么返回必定有一个loss,这样会导致问题。 为什么不用optimizer.hook,而是自己写? 因为有些时候需要对fea计算不同的loss,这些loss是我们自己定义的。 3. RuntimeErrorRuntimeError: :`initia...
Fix is_module_wrapper (#1900) Fix the problem that the instance cannot be reused when overwriting the file client (#1747) Documentations Replace markdownlint with mdformat for avoiding installing ruby (#1936) Fix failed links in docs/zh_cn/faq.md (#1964) Fix docstrings in EvalHook (#1978...
from ..parallel import is_module_wrapper File "C:\Users\hongzheng.conda\envs\opencd\lib\site-packages\mmcv\parallel_init_.py", line 5, in from .distributed import MMDistributedDataParallel File "C:\Users\hongzheng.conda\envs\opencd\lib\site-packages\mmcv\parallel\distributed.py", line 10...
def wrapper(*args, **kargs): # 定义装饰器新增的函数功能 return func(*args, **kargs) return wrapper 1.2 装饰器的用法 装饰器可以传参也可以不传参,自身不传入参数的装饰器一般可以使用双层函数定义装饰器,而自身传入参数的装饰器一般使用三层函数定义装饰器。
if is_rocm_pytorch: define_macros += [('MMCV_WITH_HIP', None)] define_macros += [('MMCV_WITH_CUDA', None)] cuda_args = os.getenv('MMCV_CUDA_ARGS') extra_compile_args['nvcc'] = [cuda_args] if cuda_args else [] ...
except (ModuleNotFoundError, AttributeError): cpu_use = 4 os.environ.setdefault('MAX_JOBS', str(cpu_use)) define_macros = [] # Before PyTorch1.8.0, when compiling CUDA code, `cxx` is a # required key passed to PyTorch. Even if there is no flag passed # to cxx, users ...
mmcv: lite, without CUDA ops but all other features, similar to mmcv<1.0.0. It is useful when you do not need those CUDA ops. Note: Do not install both versions in the same environment, otherwise you may encounter errors likeModuleNotFound. You need to uninstall one before installing the...
[Bug] error: #error C++17 or later compatible compiler is required to use ATen.#2916 Open 2 tasks Copy link maxpaincommentedAug 31, 2023 I'm trying to build using this Dockerfike: FROMnvidia/cuda:12.1.0-cudnn8-devel-ubuntu22.04 AS mmcv-builderENVFORCE_CUDA 1ENVMMCV_WITH_OPS 1RUNapt ...
CUDA 9.2+ (If you build PyTorch from source, CUDA 9.0 is also compatible) GCC 5+ MMCV 安装之前,如果你自己装过没有成功,这里建议你删除原环境,再重新安装一个,避免麻烦。如果在原环境安装,先要删除mmcv和mmcv-full,不然会报错ModuleNotFoundError. ...