warnings.warn(‘Failed to build CUDA kernels for bias_act. Falling back to slow reference implementat

报错

Setting up PyTorch plugin "bias_act_plugin"... D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py:274: UserWarning: Error checking compiler version for cl: '**utf-8**' codec can't decode byte 0xd3 in position 0: invalid continuation byte
  warnings.warn('Error checking compiler version for {}: {}'.format(compiler, error))
Failed!
E:\Scatteering_imaging\MAT-main\torch_utils\ops\bias_act.py:50: UserWarning: **Failed to build CUDA kernels for bias_act.** Falling back to slow reference implementation. Details:

Traceback (most recent call last):
  File "E:\Scatteering_imaging\MAT-main\torch_utils\ops\bias_act.py", line 48, in _init
    _plugin = custom_ops.get_plugin('bias_act_plugin', sources=sources, extra_cuda_cflags=['--use_fast_math'])
  File "E:\Scatteering_imaging\MAT-main\torch_utils\**custom_ops**.py", line 110, in get_plugin
    torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 980, in load
    keep_intermediates=keep_intermediates)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1185, in _jit_compile
    with_cuda=with_cuda)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1276, in _write_ninja_file_and_build_library
    with_cuda=with_cuda)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1588, in _write_ninja_file_to_build_library
    from distutils.spawn import _nt_quote_args  # type: ignore
ImportError: cannot import name '_nt_quote_args' from 'distutils.spawn' (D:\Anaconda\envs\MAT\lib\site-packages\setuptools\_distutils\spawn.py)

  warnings.warn('Failed to build CUDA kernels for bias_act. Falling back to slow reference implementation. Details:\n\n' + traceback.format_exc())
Setting up PyTorch plugin "upfirdn2d_plugin"... D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py:274: UserWarning: Error checking compiler version for cl: 'utf-8' codec can't decode byte 0xd3 in position 0: invalid continuation byte
  warnings.warn('Error checking compiler version for {}: {}'.format(compiler, error))
Failed!
E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py:34: UserWarning: Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:

Traceback (most recent call last):
  File "E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py", line 32, in _init
    _plugin = custom_ops.get_plugin('upfirdn2d_plugin', sources=sources, extra_cuda_cflags=['--use_fast_math'])
  File "E:\Scatteering_imaging\MAT-main\torch_utils\custom_ops.py", line 110, in get_plugin
    torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 980, in load
    keep_intermediates=keep_intermediates)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1185, in _jit_compile
    with_cuda=with_cuda)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1276, in _write_ninja_file_and_build_library
    with_cuda=with_cuda)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1588, in _write_ninja_file_to_build_library
    from distutils.spawn import _nt_quote_args  # type: ignore
ImportError: cannot import name '_nt_quote_args' from 'distutils.spawn' (D:\Anaconda\envs\MAT\lib\site-packages\setuptools\_distutils\spawn.py)

  warnings.warn('Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:\n\n' + traceback.format_exc())
Setting up PyTorch plugin "upfirdn2d_plugin"... Failed!
E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py:34: UserWarning: Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:

Traceback (most recent call last):
  File "E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py", line 32, in _init
    _plugin = custom_ops.get_plugin('upfirdn2d_plugin', sources=sources, extra_cuda_cflags=['--use_fast_math'])
  File "E:\Scatteering_imaging\MAT-main\torch_utils\custom_ops.py", line 110, in get_plugin
    torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 980, in load
    keep_intermediates=keep_intermediates)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1196, in _jit_compile
    return _import_module_from_library(name, build_directory, is_python_module)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1543, in _import_module_from_library
    file, path, description = imp.find_module(module_name, [path])
  File "D:\Anaconda\envs\MAT\lib\imp.py", line 296, in find_module
    raise ImportError(_ERR_MSG.format(name), name=name)
ImportError: No module named 'upfirdn2d_plugin'

  warnings.warn('Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:\n\n' + traceback.format_exc())
Setting up PyTorch plugin "upfirdn2d_plugin"... Failed!
E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py:34: UserWarning: Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:

Traceback (most recent call last):
  File "E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py", line 32, in _init
    _plugin = custom_ops.get_plugin('upfirdn2d_plugin', sources=sources, extra_cuda_cflags=['--use_fast_math'])
  File "E:\Scatteering_imaging\MAT-main\torch_utils\custom_ops.py", line 110, in get_plugin
    torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 980, in load
    keep_intermediates=keep_intermediates)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1196, in _jit_compile
    return _import_module_from_library(name, build_directory, is_python_module)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1543, in _import_module_from_library
    file, path, description = imp.find_module(module_name, [path])
  File "D:\Anaconda\envs\MAT\lib\imp.py", line 296, in find_module
    raise ImportError(_ERR_MSG.format(name), name=name)
ImportError: No module named 'upfirdn2d_plugin'

  warnings.warn('Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:\n\n' + traceback.format_exc())
Setting up PyTorch plugin "upfirdn2d_plugin"... Failed!
E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py:34: UserWarning: Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:

Traceback (most recent call last):
  File "E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py", line 32, in _init
    _plugin = custom_ops.get_plugin('upfirdn2d_plugin', sources=sources, extra_cuda_cflags=['--use_fast_math'])
  File "E:\Scatteering_imaging\MAT-main\torch_utils\custom_ops.py", line 110, in get_plugin
    torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 980, in load
    keep_intermediates=keep_intermediates)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1196, in _jit_compile
    return _import_module_from_library(name, build_directory, is_python_module)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1543, in _import_module_from_library
    file, path, description = imp.find_module(module_name, [path])
  File "D:\Anaconda\envs\MAT\lib\imp.py", line 296, in find_module
    raise ImportError(_ERR_MSG.format(name), name=name)
ImportError: No module named 'upfirdn2d_plugin'

  warnings.warn('Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:\n\n' + traceback.format_exc())
Setting up PyTorch plugin "upfirdn2d_plugin"... Failed!
E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py:34: UserWarning: Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:

Traceback (most recent call last):
  File "E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py", line 32, in _init
    _plugin = custom_ops.get_plugin('upfirdn2d_plugin', sources=sources, extra_cuda_cflags=['--use_fast_math'])
  File "E:\Scatteering_imaging\MAT-main\torch_utils\custom_ops.py", line 110, in get_plugin
    torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 980, in load
    keep_intermediates=keep_intermediates)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1196, in _jit_compile
    return _import_module_from_library(name, build_directory, is_python_module)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1543, in _import_module_from_library
    file, path, description = imp.find_module(module_name, [path])
  File "D:\Anaconda\envs\MAT\lib\imp.py", line 296, in find_module
    raise ImportError(_ERR_MSG.format(name), name=name)
ImportError: No module named 'upfirdn2d_plugin'

  warnings.warn('Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:\n\n' + traceback.format_exc())
Setting up PyTorch plugin "upfirdn2d_plugin"... Failed!
E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py:34: UserWarning: Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:

Traceback (most recent call last):
  File "E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py", line 32, in _init
    _plugin = custom_ops.get_plugin('upfirdn2d_plugin', sources=sources, extra_cuda_cflags=['--use_fast_math'])
  File "E:\Scatteering_imaging\MAT-main\torch_utils\custom_ops.py", line 110, in get_plugin
    torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 980, in load
    keep_intermediates=keep_intermediates)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1196, in _jit_compile
    return _import_module_from_library(name, build_directory, is_python_module)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1543, in _import_module_from_library
    file, path, description = imp.find_module(module_name, [path])
  File "D:\Anaconda\envs\MAT\lib\imp.py", line 296, in find_module
    raise ImportError(_ERR_MSG.format(name), name=name)
ImportError: No module named 'upfirdn2d_plugin'

  warnings.warn('Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:\n\n' + traceback.format_exc())
Setting up PyTorch plugin "upfirdn2d_plugin"... Failed!
E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py:34: UserWarning: Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:

Traceback (most recent call last):
  File "E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py", line 32, in _init
    _plugin = custom_ops.get_plugin('upfirdn2d_plugin', sources=sources, extra_cuda_cflags=['--use_fast_math'])
  File "E:\Scatteering_imaging\MAT-main\torch_utils\custom_ops.py", line 110, in get_plugin
    torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 980, in load
    keep_intermediates=keep_intermediates)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1196, in _jit_compile
    return _import_module_from_library(name, build_directory, is_python_module)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1543, in _import_module_from_library
    file, path, description = imp.find_module(module_name, [path])
  File "D:\Anaconda\envs\MAT\lib\imp.py", line 296, in find_module
    raise ImportError(_ERR_MSG.format(name), name=name)
ImportError: No module named 'upfirdn2d_plugin'

  warnings.warn('Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:\n\n' + traceback.format_exc())
Setting up PyTorch plugin "upfirdn2d_plugin"... Failed!
E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py:34: UserWarning: Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:

Traceback (most recent call last):
  File "E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py", line 32, in _init
    _plugin = custom_ops.get_plugin('upfirdn2d_plugin', sources=sources, extra_cuda_cflags=['--use_fast_math'])
  File "E:\Scatteering_imaging\MAT-main\torch_utils\custom_ops.py", line 110, in get_plugin
    torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 980, in load
    keep_intermediates=keep_intermediates)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1196, in _jit_compile
    return _import_module_from_library(name, build_directory, is_python_module)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1543, in _import_module_from_library
    file, path, description = imp.find_module(module_name, [path])
  File "D:\Anaconda\envs\MAT\lib\imp.py", line 296, in find_module
    raise ImportError(_ERR_MSG.format(name), name=name)
ImportError: No module named 'upfirdn2d_plugin'

  warnings.warn('Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:\n\n' + traceback.format_exc())
Setting up PyTorch plugin "upfirdn2d_plugin"... Failed!
E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py:34: UserWarning: Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:

Traceback (most recent call last):
  File "E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py", line 32, in _init
    _plugin = custom_ops.get_plugin('upfirdn2d_plugin', sources=sources, extra_cuda_cflags=['--use_fast_math'])
  File "E:\Scatteering_imaging\MAT-main\torch_utils\custom_ops.py", line 110, in get_plugin
    torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 980, in load
    keep_intermediates=keep_intermediates)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1196, in _jit_compile
    return _import_module_from_library(name, build_directory, is_python_module)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1543, in _import_module_from_library
    file, path, description = imp.find_module(module_name, [path])
  File "D:\Anaconda\envs\MAT\lib\imp.py", line 296, in find_module
    raise ImportError(_ERR_MSG.format(name), name=name)
ImportError: No module named 'upfirdn2d_plugin'

  warnings.warn('Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:\n\n' + traceback.format_exc())
Setting up PyTorch plugin "upfirdn2d_plugin"... Failed!
E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py:34: UserWarning: Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:

Traceback (most recent call last):
  File "E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py", line 32, in _init
    _plugin = custom_ops.get_plugin('upfirdn2d_plugin', sources=sources, extra_cuda_cflags=['--use_fast_math'])
  File "E:\Scatteering_imaging\MAT-main\torch_utils\custom_ops.py", line 110, in get_plugin
    torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 980, in load
    keep_intermediates=keep_intermediates)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1196, in _jit_compile
    return _import_module_from_library(name, build_directory, is_python_module)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1543, in _import_module_from_library
    file, path, description = imp.find_module(module_name, [path])
  File "D:\Anaconda\envs\MAT\lib\imp.py", line 296, in find_module
    raise ImportError(_ERR_MSG.format(name), name=name)
ImportError: No module named 'upfirdn2d_plugin'

  warnings.warn('Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:\n\n' + traceback.format_exc())
Setting up PyTorch plugin "upfirdn2d_plugin"... Failed!
E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py:34: UserWarning: Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:

Traceback (most recent call last):
  File "E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py", line 32, in _init
    _plugin = custom_ops.get_plugin('upfirdn2d_plugin', sources=sources, extra_cuda_cflags=['--use_fast_math'])
  File "E:\Scatteering_imaging\MAT-main\torch_utils\custom_ops.py", line 110, in get_plugin
    torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 980, in load
    keep_intermediates=keep_intermediates)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1196, in _jit_compile
    return _import_module_from_library(name, build_directory, is_python_module)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1543, in _import_module_from_library
    file, path, description = imp.find_module(module_name, [path])
  File "D:\Anaconda\envs\MAT\lib\imp.py", line 296, in find_module
    raise ImportError(_ERR_MSG.format(name), name=name)
ImportError: No module named 'upfirdn2d_plugin'

  warnings.warn('Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:\n\n' + traceback.format_exc())
Setting up PyTorch plugin "upfirdn2d_plugin"... Failed!
E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py:34: UserWarning: Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:

Traceback (most recent call last):
  File "E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py", line 32, in _init
    _plugin = custom_ops.get_plugin('upfirdn2d_plugin', sources=sources, extra_cuda_cflags=['--use_fast_math'])
  File "E:\Scatteering_imaging\MAT-main\torch_utils\custom_ops.py", line 110, in get_plugin
    torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 980, in load
    keep_intermediates=keep_intermediates)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1196, in _jit_compile
    return _import_module_from_library(name, build_directory, is_python_module)
  File "D:\Anaconda\envs\MAT\lib\site-packages\torch\utils\cpp_extension.py", line 1543, in _import_module_from_library
    file, path, description = imp.find_module(module_name, [path])
  File "D:\Anaconda\envs\MAT\lib\imp.py", line 296, in find_module
    raise ImportError(_ERR_MSG.format(name), name=name)
ImportError: No module named 'upfirdn2d_plugin'

  warnings.warn('Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:\n\n' + traceback.format_exc())
Setting up PyTorch plugin "upfirdn2d_plugin"... Failed!
E:\Scatteering_imaging\MAT-main\torch_utils\ops\upfirdn2d.py:34: UserWarning: Failed to build CUDA kernels for upfirdn2d. Falling back to slow reference implementation. Details:

Traceback (most recent call last):
  File "E:\Scatteering_imaging\MAT-main\
<think>好的,我现在需要解决用户提到的Python警告问题:“Failed to add <class 'mmengine.visualization.vis_backend.LocalVisBackend'>, please provide the `save_dir` argument”。用户希望了解如何解决这个由warnings.warn引发的错误。让我一步步分析这个问题。 首先,用户提供的引用信息中有提到,这个警告是因为没有提供`save_dir`参数导致的。根据引用[1],错误信息明确指出了缺少`save_dir`,所以直接想到的解决方案就是在创建`LocalVisBackend`实例时添加这个参数。例如,设置`save_dir='./vis_backend'`之类的路径。 接下来,我需要确认是否正确安装了相关库。用户引用了安装Lagent和AgentLego的步骤[^5],可能是在配置某个机器学习或深度学习环境时出现的问题。这时候需要检查mmengine的版本是否正确,或者是否存在依赖冲突。可能需要使用conda或pip更新mmengine到最新版本,或者安装与当前环境兼容的版本。 另外,用户提到可以通过设置环境变量`KMP_DUPLICATE_LIB_OK`来忽略某些错误[^4]。不过这个警告是来自mmengine库,可能和库的重复加载无关,但尝试设置这个环境变量也许能避免其他潜在问题,可以作为辅助解决方案。 用户还引用了关于warnings模块的控制方法[^3],比如暂时禁止警告。如果用户不希望看到这个警告,可以使用`warnings.filterwarnings('ignore')`来忽略特定类别的警告。不过这种方法只是隐藏警告,并未真正解决问题,建议优先解决根本原因。 总结可能的解决方案: 1. 在初始化`LocalVisBackend`时添加`save_dir`参数。 2. 检查mmengine的安装情况,确保版本正确。 3. 设置环境变量`KMP_DUPLICATE_LIB_OK`(虽然可能不相关,但可尝试)。 4. 使用warnings模块过滤该警告(临时措施)。 需要进一步验证这些步骤是否有效。例如,查看mmengine的文档,确认`LocalVisBackend`是否需要`save_dir`参数,或者是否有其他必需参数。如果用户没有显式初始化这个类,可能需要检查代码中是否调用了相关功能而没有正确配置。 最后,生成相关问题帮助用户深入理解,比如如何控制Python中的警告,如何配置可视化后端等。</think>针对Python中出现的$warnings.warn$报错"Failed to add vis_backend.__class__"问题,以下是分步骤解决方案: ### 解决方法 1. **添加必需参数** 在初始化$LocalVisBackend$时显式指定$save_dir$参数: ```python from mmengine.visualization import LocalVisBackend # 指定可视化结果保存路径 vis_backend = LocalVisBackend(save_dir='./vis_results') ``` 该路径需确保有写入权限,建议使用相对路径或绝对路径[^1] 2. **验证库安装** 执行以下命令检查$mmengine$版本: ```bash pip show mmengine ``` 推荐使用最新稳定版: ```bash pip install -U mmengine ``` 3. **环境变量设置(可选)** 在代码开头添加: ```python import os os.environ['KMP_DUPLICATE_LIB_OK'] = 'True' # 解决部分动态库冲突 ``` 4. **过滤警告(临时方案)** ```python import warnings warnings.filterwarnings('ignore', category=UserWarning, module='mmengine.visualization') ``` ### 原理解析 该警告由$mmengine$的可视化模块触发,当$LocalVisBackend$未接收到$save_dir$参数时,无法确定可视化数据的存储位置。框架通过$warnings.warn_explicit()$发出用户级别警告[^2][^3],属于非阻断性提示,不影响主要功能运行。 ### 验证方案 ```python # test_vis_backend.py from mmengine.visualization import LocalVisBackend def test_init(): try: backend = LocalVisBackend(save_dir='./test_vis') print("初始化成功,保存路径:", backend.save_dir) except Exception as e: print("初始化失败:", str(e)) ```
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值