[BUG] DistutilsPlatformError: Microsoft Visual C++ 14.0 or greater is required.

setuptools version

setuptools=68.0.0

Python version

Python 3.10.11

OS

Windows 11

Additional environment information

No response

Description

It keeps saying that despite the fact that I have installed MSVC v143 buildtool and Windows 11 SDK.

DistutilsPlatformError: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/

Expected behavior

I am trying to run a code that was written based on StyleGan2 https://github.com/NVlabs/stylegan3/blob/main/training/networks_stylegan2.py

How to Reproduce

It is really hard to reproduce given the codes involved in multiple codes. Unless download the full package.

Output

The full output of the error can be found here.

---------------------------------------------------------------------------
CalledProcessError                        Traceback (most recent call last)
File [e:\Anaconda\envs\face_landmark\lib\site-packages\setuptools\msvc.py:173](file:///E:/Anaconda/envs/face_landmark/lib/site-packages/setuptools/msvc.py:173), in _msvc14_get_vc_env(plat_spec)
    172 try:
--> 173     out = subprocess.check_output(
    174         'cmd /u /c "{}" {} && set'.format(vcvarsall, plat_spec),
    175         stderr=subprocess.STDOUT,
    176     ).decode('utf-16le', errors='replace')
    177 except subprocess.CalledProcessError as exc:

File [e:\Anaconda\envs\face_landmark\lib\subprocess.py:421](file:///E:/Anaconda/envs/face_landmark/lib/subprocess.py:421), in check_output(timeout, *popenargs, **kwargs)
    419     kwargs['input'] = empty
--> 421 return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,
    422            **kwargs).stdout

File [e:\Anaconda\envs\face_landmark\lib\subprocess.py:526](file:///E:/Anaconda/envs/face_landmark/lib/subprocess.py:526), in run(input, capture_output, timeout, check, *popenargs, **kwargs)
    525     if check and retcode:
--> 526         raise CalledProcessError(retcode, process.args,
    527                                  output=stdout, stderr=stderr)
    528 return CompletedProcess(process.args, retcode, stdout, stderr)

CalledProcessError: Command 'cmd /u /c "C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\VC\Auxiliary\Build\vcvarsall.bat" x86_amd64 && set' returned non-zero exit status 255.

The above exception was the direct cause of the following exception:

DistutilsPlatformError                    Traceback (most recent call last)
Cell In[2], line 20
     16 with torch.no_grad():
     18     x = 0; y = 0; z = 0 # z is not used
---> 20     img_rendered, _, _ = render_face(0, yaw, 0, x, y, z, code_info)
     22     # plot
     23     plt.subplot(1,7,i+1)

Cell In[1], line 112, in render_face(pitch, yaw, roll, x, y, z, code)
    108 cam_info = gen_cam(pitch, yaw, roll)
    110 cam_info["batch_Tvecs"][0,2,0] -= 0.5
--> 112 ret = decoder(mode='test', batch_xy=batch_xy, batch_uv=batch_uv, code=code, update_emas=False, **cam_info)
    113 fmap = ret['coarse_dict']['merge_fmap'].permute(0,2,3,1).detach().cpu().numpy()
    114 depth = ret['coarse_dict']['depth'].permute(0,2,3,1).detach().cpu().numpy()

File [e:\Anaconda\envs\face_landmark\lib\site-packages\torch\nn\modules\module.py:1501](file:///E:/Anaconda/envs/face_landmark/lib/site-packages/torch/nn/modules/module.py:1501), in Module._call_impl(self, *args, **kwargs)
   1496 # If we don't have any hooks, we want to skip the rest of the logic in
   1497 # this function, and just call forward.
   1498 if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
   1499         or _global_backward_pre_hooks or _global_backward_hooks
   1500         or _global_forward_hooks or _global_forward_pre_hooks):
-> 1501     return forward_call(*args, **kwargs)
   1502 # Do not call functions when jit is used
   1503 full_backward_hooks, non_full_backward_hooks = [], []

File [d:\A\OneDrive](file:///D:/A/OneDrive) - UBC\Projects\3D_HEAD\Experiment\methods\style5.0\./modules\StyleMorpheus.py:356, in StyleMorpheusNet.forward(self, mode, batch_xy, batch_uv, code, update_emas, batch_Rmats, batch_Tvecs, batch_inv_inmats, dist_expr, **kwargs)
    351 """
    352 code: enhanced 3dmm codes
    353 """
    355 # mapping: 3dmm space --> style space
--> 356 style_code = self.mapping_nets(code, update_emas)
    358 shape_code = torch.cat([style_code['id'],  style_code['exp']], 1)
    359 appea_code = torch.cat([style_code['tex'], style_code['ill']], 1)

File [e:\Anaconda\envs\face_landmark\lib\site-packages\torch\nn\modules\module.py:1501](file:///E:/Anaconda/envs/face_landmark/lib/site-packages/torch/nn/modules/module.py:1501), in Module._call_impl(self, *args, **kwargs)
   1496 # If we don't have any hooks, we want to skip the rest of the logic in
   1497 # this function, and just call forward.
   1498 if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
   1499         or _global_backward_pre_hooks or _global_backward_hooks
   1500         or _global_forward_hooks or _global_forward_pre_hooks):
-> 1501     return forward_call(*args, **kwargs)
   1502 # Do not call functions when jit is used
   1503 full_backward_hooks, non_full_backward_hooks = [], []

File [d:\A\OneDrive](file:///D:/A/OneDrive) - UBC\Projects\3D_HEAD\Experiment\methods\style5.0\./modules\StyleMorpheus.py:69, in DisentangledMappingNet.forward(self, z_codes, update_emas)
     67 w_codes = {}
     68 for key in self.code_dims:
---> 69     w_codes[key] = self.mapping_nets[key](z=z_codes[key], c=None, update_emas=update_emas)[:,0,:]
     70 return w_codes

File [e:\Anaconda\envs\face_landmark\lib\site-packages\torch\nn\modules\module.py:1501](file:///E:/Anaconda/envs/face_landmark/lib/site-packages/torch/nn/modules/module.py:1501), in Module._call_impl(self, *args, **kwargs)
   1496 # If we don't have any hooks, we want to skip the rest of the logic in
   1497 # this function, and just call forward.
   1498 if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
   1499         or _global_backward_pre_hooks or _global_backward_hooks
   1500         or _global_forward_hooks or _global_forward_pre_hooks):
-> 1501     return forward_call(*args, **kwargs)
   1502 # Do not call functions when jit is used
   1503 full_backward_hooks, non_full_backward_hooks = [], []

File [d:\A\OneDrive](file:///D:/A/OneDrive) - UBC\Projects\3D_HEAD\Experiment\methods\style5.0\modules\stylegan\training\networks_stylegan2.py:246, in MappingNetwork.forward(self, z, c, truncation_psi, truncation_cutoff, update_emas)
    244 for idx in range(self.num_layers):
    245     layer = getattr(self, f'fc{idx}')
--> 246     x = layer(x)
    248 # Update moving average of W.
    249 if update_emas and self.w_avg_beta is not None:

File [e:\Anaconda\envs\face_landmark\lib\site-packages\torch\nn\modules\module.py:1501](file:///E:/Anaconda/envs/face_landmark/lib/site-packages/torch/nn/modules/module.py:1501), in Module._call_impl(self, *args, **kwargs)
   1496 # If we don't have any hooks, we want to skip the rest of the logic in
   1497 # this function, and just call forward.
   1498 if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
   1499         or _global_backward_pre_hooks or _global_backward_hooks
   1500         or _global_forward_hooks or _global_forward_pre_hooks):
-> 1501     return forward_call(*args, **kwargs)
   1502 # Do not call functions when jit is used
   1503 full_backward_hooks, non_full_backward_hooks = [], []

File [d:\A\OneDrive](file:///D:/A/OneDrive) - UBC\Projects\3D_HEAD\Experiment\methods\style5.0\modules\stylegan\training\networks_stylegan2.py:124, in FullyConnectedLayer.forward(self, x)
    122 else:
    123     x = x.matmul(w.t())
--> 124     x = bias_act.bias_act(x, b, act=self.activation)
    125 return x

File [d:\A\OneDrive](file:///D:/A/OneDrive) - UBC\Projects\3D_HEAD\Experiment\methods\style5.0\./modules/stylegan\torch_utils\ops\bias_act.py:84, in bias_act(x, b, dim, act, alpha, gain, clamp, impl)
     82 assert isinstance(x, torch.Tensor)
     83 assert impl in ['ref', 'cuda']
---> 84 if impl == 'cuda' and x.device.type == 'cuda' and _init():
     85     return _bias_act_cuda(dim=dim, act=act, alpha=alpha, gain=gain, clamp=clamp).apply(x, b)
     86 return _bias_act_ref(x=x, b=b, dim=dim, act=act, alpha=alpha, gain=gain, clamp=clamp)

File [d:\A\OneDrive](file:///D:/A/OneDrive) - UBC\Projects\3D_HEAD\Experiment\methods\style5.0\./modules/stylegan\torch_utils\ops\bias_act.py:41, in _init()
     39 global _plugin
     40 if _plugin is None:
---> 41     _plugin = custom_ops.get_plugin(
     42         module_name='bias_act_plugin',
     43         sources=['bias_act.cpp', 'bias_act.cu'],
     44         headers=['bias_act.h'],
     45         source_dir=os.path.dirname(__file__),
     46         extra_cuda_cflags=['--use_fast_math', '--allow-unsupported-compiler'],
     47     )
     48 return True

File [d:\A\OneDrive](file:///D:/A/OneDrive) - UBC\Projects\3D_HEAD\Experiment\methods\style5.0\./modules/stylegan\torch_utils\custom_ops.py:136, in get_plugin(module_name, sources, headers, source_dir, **build_kwargs)
    134     # Compile.
    135     cached_sources = [os.path.join(cached_build_dir, os.path.basename(fname)) for fname in sources]
--> 136     torch.utils.cpp_extension.load(name=module_name, build_directory=cached_build_dir,
    137         verbose=verbose_build, sources=cached_sources, **build_kwargs)
    138 else:
    139     torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs)

File [e:\Anaconda\envs\face_landmark\lib\site-packages\torch\utils\cpp_extension.py:1284](file:///E:/Anaconda/envs/face_landmark/lib/site-packages/torch/utils/cpp_extension.py:1284), in load(name, sources, extra_cflags, extra_cuda_cflags, extra_ldflags, extra_include_paths, build_directory, verbose, with_cuda, is_python_module, is_standalone, keep_intermediates)
   1192 def load(name,
   1193          sources: Union[str, List[str]],
   1194          extra_cflags=None,
   (...)
   1202          is_standalone=False,
   1203          keep_intermediates=True):
   1204     r'''
   1205     Loads a PyTorch C++ extension just-in-time (JIT).
   1206 
   (...)
   1282         ...     verbose=True)
   1283     '''
-> 1284     return _jit_compile(
   1285         name,
   1286         [sources] if isinstance(sources, str) else sources,
   1287         extra_cflags,
   1288         extra_cuda_cflags,
   1289         extra_ldflags,
   1290         extra_include_paths,
   1291         build_directory or _get_build_directory(name, verbose),
   1292         verbose,
   1293         with_cuda,
   1294         is_python_module,
   1295         is_standalone,
   1296         keep_intermediates=keep_intermediates)

File [e:\Anaconda\envs\face_landmark\lib\site-packages\torch\utils\cpp_extension.py:1509](file:///E:/Anaconda/envs/face_landmark/lib/site-packages/torch/utils/cpp_extension.py:1509), in _jit_compile(name, sources, extra_cflags, extra_cuda_cflags, extra_ldflags, extra_include_paths, build_directory, verbose, with_cuda, is_python_module, is_standalone, keep_intermediates)
   1505                 hipified_sources.add(hipify_result[s_abs]["hipified_path"] if s_abs in hipify_result else s_abs)
   1507             sources = list(hipified_sources)
-> 1509         _write_ninja_file_and_build_library(
   1510             name=name,
   1511             sources=sources,
   1512             extra_cflags=extra_cflags or [],
   1513             extra_cuda_cflags=extra_cuda_cflags or [],
   1514             extra_ldflags=extra_ldflags or [],
   1515             extra_include_paths=extra_include_paths or [],
   1516             build_directory=build_directory,
   1517             verbose=verbose,
   1518             with_cuda=with_cuda,
   1519             is_standalone=is_standalone)
   1520 finally:
   1521     baton.release()

File [e:\Anaconda\envs\face_landmark\lib\site-packages\torch\utils\cpp_extension.py:1624](file:///E:/Anaconda/envs/face_landmark/lib/site-packages/torch/utils/cpp_extension.py:1624), in _write_ninja_file_and_build_library(name, sources, extra_cflags, extra_cuda_cflags, extra_ldflags, extra_include_paths, build_directory, verbose, with_cuda, is_standalone)
   1622 if verbose:
   1623     print(f'Building extension module {name}...', file=sys.stderr)
-> 1624 _run_ninja_build(
   1625     build_directory,
   1626     verbose,
   1627     error_prefix=f"Error building extension '{name}'")

File [e:\Anaconda\envs\face_landmark\lib\site-packages\torch\utils\cpp_extension.py:1870](file:///E:/Anaconda/envs/face_landmark/lib/site-packages/torch/utils/cpp_extension.py:1870), in _run_ninja_build(build_directory, verbose, error_prefix)
   1867 plat_name = distutils.util.get_platform()
   1868 plat_spec = PLAT_TO_VCVARS[plat_name]
-> 1870 vc_env = distutils._msvccompiler._get_vc_env(plat_spec)
   1871 vc_env = {k.upper(): v for k, v in vc_env.items()}
   1872 for k, v in env.items():

File [e:\Anaconda\envs\face_landmark\lib\site-packages\setuptools\msvc.py:214](file:///E:/Anaconda/envs/face_landmark/lib/site-packages/setuptools/msvc.py:214), in msvc14_get_vc_env(plat_spec)
    212 # Always use backport from CPython 3.8
    213 try:
--> 214     return _msvc14_get_vc_env(plat_spec)
    215 except distutils.errors.DistutilsPlatformError as exc:
    216     _augment_exception(exc, 14.0)

File [e:\Anaconda\envs\face_landmark\lib\site-packages\setuptools\msvc.py:178](file:///E:/Anaconda/envs/face_landmark/lib/site-packages/setuptools/msvc.py:178), in _msvc14_get_vc_env(plat_spec)
    173     out = subprocess.check_output(
    174         'cmd /u /c "{}" {} && set'.format(vcvarsall, plat_spec),
    175         stderr=subprocess.STDOUT,
    176     ).decode('utf-16le', errors='replace')
    177 except subprocess.CalledProcessError as exc:
--> 178     raise distutils.errors.DistutilsPlatformError(
    179         "Error executing {}".format(exc.cmd)
    180     ) from exc
    182 env = {
    183     key.lower(): value
    184     for key, _, value in
    185     (line.partition('=') for line in out.splitlines())
    186     if key and value
    187 }
    189 if vcruntime:

DistutilsPlatformError: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/

Start with setuptools/msvc.py at _msvc14_get_vc_env, especially the vcvarsall.bat command and failure shown in the traceback. Reproduce the command in a Windows environment with the reported MSVC v143 Build Tools setup, then add a focused test or diagnostic that establishes the expected behavior when the compiler environment is installed but initialization exits with status 255.