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社区首页 >问答首页 >在Windows10上导入torchsparse (PyTorch)不起作用

问在Windows10上导入torchsparse (PyTorch)不起作用
EN

Stack Overflow用户
提问于 2021-09-20 17:26:22
回答 1查看 307关注 0票数 1

在Windows 10上。我正在测试某人的代码，该代码具有以下导入：

代码语言：javascript
运行
复制
import torch.nn as nn
import torchsparse.nn as spnn
from torchsparse.point_tensor import PointTensor

因此在我的机器上，我成功地安装了

代码语言：javascript
运行
复制
pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-1.9.0+cu111.html

因为我有CUDA 11.1。然而，正如上面的导入所提供的那样，似乎存在语法差异：

代码语言：javascript
运行
复制
    import torchsparse.nn as spnn
ModuleNotFoundError: No module named 'torchsparse'

我发现当我在Python中时，我可以做以下事情：

代码语言：javascript
运行
复制
>>> import torchsparse
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'torchsparse'
>>> import torchsparse.nn
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'torchsparse'
>>> import torch_sparse
>>> import torch_sparse.nn
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'torch_sparse.nn'
>>>

所以我只能使用import torch_sparse。有谁知道我怎样才能获得等价的导入来测试我伙伴的代码？非常感谢。

--编辑

尝试Ivan的答案，我得到了以下结果：

代码语言：javascript
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pip install --upgrade git+https://github.com/mit-han-lab/torchsparse.git@v1.4.0
WARNING: Ignoring invalid distribution -ip (c:\python39\lib\site-packages)
WARNING: Ignoring invalid distribution -ip (c:\python39\lib\site-packages)
Collecting git+https://github.com/mit-han-lab/torchsparse.git@v1.4.0
  Cloning https://github.com/mit-han-lab/torchsparse.git (to revision v1.4.0) to c:\users\iijds\appdata\local\temp\pip-req-build-gvmcjx1m
  Running command git clone -q https://github.com/mit-han-lab/torchsparse.git 'C:\Users\iiJDS\AppData\Local\Temp\pip-req-build-gvmcjx1m'
  Running command git checkout -q 74099d10a51c71c14318bce63d6421f698b24f24
  Resolved https://github.com/mit-han-lab/torchsparse.git to commit 74099d10a51c71c14318bce63d6421f698b24f24
Building wheels for collected packages: torchsparse
  Building wheel for torchsparse (setup.py) ... error
  ERROR: Command errored out with exit status 1:
   command: 'c:\python39\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\iiJDS\\AppData\\Local\\Temp\\pip-req-build-gvmcjx1m\\setup.py'"'"'; __file__='"'"'C:\\Users\\iiJDS\\AppData\\Local\\Temp\\pip-req-build-gvmcjx1m\\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d 'C:\Users\iiJDS\AppData\Local\Temp\pip-wheel-rz9wo9lc'
       cwd: C:\Users\iiJDS\AppData\Local\Temp\pip-req-build-gvmcjx1m\
  Complete output (53 lines):
  running bdist_wheel
  c:\python39\lib\site-packages\torch\utils\cpp_extension.py:370: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend.
    warnings.warn(msg.format('we could not find ninja.'))
  running build
  running build_py
  creating build
  creating build\lib.win-amd64-3.9
  creating build\lib.win-amd64-3.9\torchsparse
  copying torchsparse\operators.py -> build\lib.win-amd64-3.9\torchsparse
  copying torchsparse\tensor.py -> build\lib.win-amd64-3.9\torchsparse
  copying torchsparse\version.py -> build\lib.win-amd64-3.9\torchsparse
  copying torchsparse\__init__.py -> build\lib.win-amd64-3.9\torchsparse
  creating build\lib.win-amd64-3.9\torchsparse\nn
  copying torchsparse\nn\__init__.py -> build\lib.win-amd64-3.9\torchsparse\nn
  creating build\lib.win-amd64-3.9\torchsparse\utils
  copying torchsparse\utils\collate.py -> build\lib.win-amd64-3.9\torchsparse\utils
  copying torchsparse\utils\quantize.py -> build\lib.win-amd64-3.9\torchsparse\utils
  copying torchsparse\utils\utils.py -> build\lib.win-amd64-3.9\torchsparse\utils
  copying torchsparse\utils\__init__.py -> build\lib.win-amd64-3.9\torchsparse\utils
  creating build\lib.win-amd64-3.9\torchsparse\nn\functional
  copying torchsparse\nn\functional\activation.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
  copying torchsparse\nn\functional\conv.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
  copying torchsparse\nn\functional\count.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
  copying torchsparse\nn\functional\crop.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
  copying torchsparse\nn\functional\devoxelize.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
  copying torchsparse\nn\functional\downsample.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
  copying torchsparse\nn\functional\hash.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
  copying torchsparse\nn\functional\pooling.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
  copying torchsparse\nn\functional\query.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
  copying torchsparse\nn\functional\voxelize.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
  copying torchsparse\nn\functional\__init__.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
  creating build\lib.win-amd64-3.9\torchsparse\nn\modules
  copying torchsparse\nn\modules\activation.py -> build\lib.win-amd64-3.9\torchsparse\nn\modules
  copying torchsparse\nn\modules\bev.py -> build\lib.win-amd64-3.9\torchsparse\nn\modules
  copying torchsparse\nn\modules\conv.py -> build\lib.win-amd64-3.9\torchsparse\nn\modules
  copying torchsparse\nn\modules\crop.py -> build\lib.win-amd64-3.9\torchsparse\nn\modules
  copying torchsparse\nn\modules\norm.py -> build\lib.win-amd64-3.9\torchsparse\nn\modules
  copying torchsparse\nn\modules\pooling.py -> build\lib.win-amd64-3.9\torchsparse\nn\modules
  copying torchsparse\nn\modules\__init__.py -> build\lib.win-amd64-3.9\torchsparse\nn\modules
  creating build\lib.win-amd64-3.9\torchsparse\nn\utils
  copying torchsparse\nn\utils\apply.py -> build\lib.win-amd64-3.9\torchsparse\nn\utils
  copying torchsparse\nn\utils\kernel.py -> build\lib.win-amd64-3.9\torchsparse\nn\utils
  copying torchsparse\nn\utils\__init__.py -> build\lib.win-amd64-3.9\torchsparse\nn\utils
  running build_ext
  c:\python39\lib\site-packages\torch\utils\cpp_extension.py:305: UserWarning: Error checking compiler version for cl: [WinError 2] The system cannot find the file specified
    warnings.warn(f'Error checking compiler version for {compiler}: {error}')
  building 'torchsparse.backend' extension
  error: Microsoft Visual C++ 14.0 is required. Get it with "Build Tools for Visual Studio": https://visualstudio.microsoft.com/downloads/
  Error in atexit._run_exitfuncs:
  Traceback (most recent call last):
    File "c:\python39\lib\site-packages\colorama\ansitowin32.py", line 59, in closed
      return stream.closed
  ValueError: underlying buffer has been detached
  ----------------------------------------
  ERROR: Failed building wheel for torchsparse
  Running setup.py clean for torchsparse
Failed to build torchsparse
WARNING: Ignoring invalid distribution -ip (c:\python39\lib\site-packages)
Installing collected packages: torchsparse
    Running setup.py install for torchsparse ... error
    ERROR: Command errored out with exit status 1:
     command: 'c:\python39\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\iiJDS\\AppData\\Local\\Temp\\pip-req-build-gvmcjx1m\\setup.py'"'"'; __file__='"'"'C:\\Users\\iiJDS\\AppData\\Local\\Temp\\pip-req-build-gvmcjx1m\\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record 'C:\Users\iiJDS\AppData\Local\Temp\pip-record-p7zn1m6h\install-record.txt' --single-version-externally-managed --compile --install-headers 'c:\python39\Include\torchsparse'
         cwd: C:\Users\iiJDS\AppData\Local\Temp\pip-req-build-gvmcjx1m\
    Complete output (53 lines):
    running install
    running build
    running build_py
    creating build
    creating build\lib.win-amd64-3.9
    creating build\lib.win-amd64-3.9\torchsparse
    copying torchsparse\operators.py -> build\lib.win-amd64-3.9\torchsparse
    copying torchsparse\tensor.py -> build\lib.win-amd64-3.9\torchsparse
    copying torchsparse\version.py -> build\lib.win-amd64-3.9\torchsparse
    copying torchsparse\__init__.py -> build\lib.win-amd64-3.9\torchsparse
    creating build\lib.win-amd64-3.9\torchsparse\nn
    copying torchsparse\nn\__init__.py -> build\lib.win-amd64-3.9\torchsparse\nn
    creating build\lib.win-amd64-3.9\torchsparse\utils
    copying torchsparse\utils\collate.py -> build\lib.win-amd64-3.9\torchsparse\utils
    copying torchsparse\utils\quantize.py -> build\lib.win-amd64-3.9\torchsparse\utils
    copying torchsparse\utils\utils.py -> build\lib.win-amd64-3.9\torchsparse\utils
    copying torchsparse\utils\__init__.py -> build\lib.win-amd64-3.9\torchsparse\utils
    creating build\lib.win-amd64-3.9\torchsparse\nn\functional
    copying torchsparse\nn\functional\activation.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
    copying torchsparse\nn\functional\conv.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
    copying torchsparse\nn\functional\count.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
    copying torchsparse\nn\functional\crop.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
    copying torchsparse\nn\functional\devoxelize.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
    copying torchsparse\nn\functional\downsample.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
    copying torchsparse\nn\functional\hash.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
    copying torchsparse\nn\functional\pooling.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
    copying torchsparse\nn\functional\query.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
    copying torchsparse\nn\functional\voxelize.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
    copying torchsparse\nn\functional\__init__.py -> build\lib.win-amd64-3.9\torchsparse\nn\functional
    creating build\lib.win-amd64-3.9\torchsparse\nn\modules
    copying torchsparse\nn\modules\activation.py -> build\lib.win-amd64-3.9\torchsparse\nn\modules
    copying torchsparse\nn\modules\bev.py -> build\lib.win-amd64-3.9\torchsparse\nn\modules
    copying torchsparse\nn\modules\conv.py -> build\lib.win-amd64-3.9\torchsparse\nn\modules
    copying torchsparse\nn\modules\crop.py -> build\lib.win-amd64-3.9\torchsparse\nn\modules
    copying torchsparse\nn\modules\norm.py -> build\lib.win-amd64-3.9\torchsparse\nn\modules
    copying torchsparse\nn\modules\pooling.py -> build\lib.win-amd64-3.9\torchsparse\nn\modules
    copying torchsparse\nn\modules\__init__.py -> build\lib.win-amd64-3.9\torchsparse\nn\modules
    creating build\lib.win-amd64-3.9\torchsparse\nn\utils
    copying torchsparse\nn\utils\apply.py -> build\lib.win-amd64-3.9\torchsparse\nn\utils
    copying torchsparse\nn\utils\kernel.py -> build\lib.win-amd64-3.9\torchsparse\nn\utils
    copying torchsparse\nn\utils\__init__.py -> build\lib.win-amd64-3.9\torchsparse\nn\utils
    running build_ext
    c:\python39\lib\site-packages\torch\utils\cpp_extension.py:370: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend.
      warnings.warn(msg.format('we could not find ninja.'))
    c:\python39\lib\site-packages\torch\utils\cpp_extension.py:305: UserWarning: Error checking compiler version for cl: [WinError 2] The system cannot find the file specified
      warnings.warn(f'Error checking compiler version for {compiler}: {error}')
    building 'torchsparse.backend' extension
    error: Microsoft Visual C++ 14.0 is required. Get it with "Build Tools for Visual Studio": https://visualstudio.microsoft.com/downloads/
    Error in atexit._run_exitfuncs:
    Traceback (most recent call last):
      File "c:\python39\lib\site-packages\colorama\ansitowin32.py", line 59, in closed
        return stream.closed
    ValueError: underlying buffer has been detached
    ----------------------------------------
ERROR: Command errored out with exit status 1: 'c:\python39\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\iiJDS\\AppData\\Local\\Temp\\pip-req-build-gvmcjx1m\\setup.py'"'"'; __file__='"'"'C:\\Users\\iiJDS\\AppData\\Local\\Temp\\pip-req-build-gvmcjx1m\\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record 'C:\Users\iiJDS\AppData\Local\Temp\pip-record-p7zn1m6h\install-record.txt' --single-version-externally-managed --compile --install-headers 'c:\python39\Include\torchsparse' Check the logs for full command output.
pytorch
python
import
EN

回答 1

Stack Overflow用户

发布于 2021-09-20 18:01:11

您尝试导入的包似乎来自此Github repo，它与您尝试使用的安装包torch-sparse不同。你应该试着这样做：

代码语言：javascript
运行
复制
pip install --upgrade git+https://github.com/mit-han-lab/torchsparse.git@v1.4.0

此外，您还可以使用以下命令卸载另一个：

代码语言：javascript
运行
复制
pip uninstall torch-sparse
票数 2
EN
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：

https://stackoverflow.com/questions/69258565

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