RuntimeError: cuda runtime error (1) : invalid argument at C:/w/b/windows/pytorch/aten/src\THC/generic/THCTensorMath.cu:29

[ChengXuanhao]

hello，McFredward，I encountered a problem, as shown in the following sentences：
Two windows will appear and then flash back.
How to solve this problem？
D:\python\miniconda\envs\ganspace\python.exe E:/新电脑文件/论文/图纸生成/生成多角度二维图/gan-space/ganspace-master-ada/ganspace/interactive.py
StyleGAN2: Optimized CUDA op FusedLeakyReLU not available, using native PyTorch fallback.
StyleGAN2: Optimized CUDA op UpFirDn2d not available, using native PyTorch fallback.
No layer 'g_mapping' in StyleGAN2-ada. Assuming you meant 'mapping'
No layer 'g_mapping' in StyleGAN2-ada. Assuming you meant 'mapping'
1.8.0+cu111
Setting up PyTorch plugin "bias_act_plugin"... D:\python\miniconda\envs\ganspace\lib\site-packages\torch\utils\cpp_extension.py:304: UserWarning: Error checking compiler version for cl: 'utf-8' codec can't decode byte 0xd3 in position 0: invalid continuation byte
warnings.warn(f'Error checking compiler version for {compiler}: {error}')
Done.
Setting up PyTorch plugin "upfirdn2d_plugin"... D:\python\miniconda\envs\ganspace\lib\site-packages\torch\utils\cpp_extension.py:304: UserWarning: Error checking compiler version for cl: 'utf-8' codec can't decode byte 0xd3 in position 0: invalid continuation byte
warnings.warn(f'Error checking compiler version for {compiler}: {error}')
Done.
Loaded components for ffhq from E:\新电脑文件\论文\图纸生成\生成多角度二维图\gan-space\ganspace-master-ada\ganspace\cache\components\stylegan2-ada-ffhq_mapping_ipca_c80_n300000.npz
Seed: 1928965846
Using GPU 0
THCudaCheck FAIL file=C:/w/b/windows/pytorch/aten/src\THC/generic/THCTensorMath.cu line=29 error=1 : invalid argument
Traceback (most recent call last):
File "E:/新电脑文件/论文/图纸生成/生成多角度二维图/gan-space/ganspace-master-ada/ganspace/interactive.py", line 655, in
on_draw()
File "E:/新电脑文件/论文/图纸生成/生成多角度二维图/gan-space/ganspace-master-ada/ganspace/interactive.py", line 475, in on_draw
img = model.forward(z_final).clamp(0.0, 1.0)
File "E:\新电脑文件\论文\图纸生成\生成多角度二维图\gan-space\ganspace-master-ada\ganspace\models\wrappers.py", line 203, in forward
img = self.model.synthesis.forward(x, noise_mode='const',force_fp32= self.device.type == 'cpu')
File "E:\新电脑文件\论文\图纸生成\生成多角度二维图\gan-space\ganspace-master-ada\ganspace\models\stylegan2_ada\stylegan2-ada-pytorch\training\networks.py", line 471, in forward
x, img = block(x, img, cur_ws, **block_kwargs)
File "D:\python\miniconda\envs\ganspace\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "E:\新电脑文件\论文\图纸生成\生成多角度二维图\gan-space\ganspace-master-ada\ganspace\models\stylegan2_ada\stylegan2-ada-pytorch\training\networks.py", line 398, in forward
x = self.conv1(x, next(w_iter), fused_modconv=fused_modconv, **layer_kwargs)
File "D:\python\miniconda\envs\ganspace\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "E:\新电脑文件\论文\图纸生成\生成多角度二维图\gan-space\ganspace-master-ada\ganspace\models\stylegan2_ada\stylegan2-ada-pytorch\training\networks.py", line 300, in forward
padding=self.padding, resample_filter=self.resample_filter, flip_weight=flip_weight, fused_modconv=fused_modconv)
File "E:\新电脑文件\论文\图纸生成\生成多角度二维图\gan-space\ganspace-master-ada\ganspace\models\stylegan2_ada\stylegan2-ada-pytorch\torch_utils\misc.py", line 101, in decorator
return fn(*args, **kwargs)
File "E:\新电脑文件\论文\图纸生成\生成多角度二维图\gan-space\ganspace-master-ada\ganspace\models\stylegan2_ada\stylegan2-ada-pytorch\training\networks.py", line 80, in modulated_conv2d
x = conv2d_resample.conv2d_resample(x=x, w=w.to(x.dtype), f=resample_filter, up=up, down=down, padding=padding, groups=batch_size, flip_weight=flip_weight)
File "E:\新电脑文件\论文\图纸生成\生成多角度二维图\gan-space\ganspace-master-ada\ganspace\models\stylegan2_ada\stylegan2-ada-pytorch\torch_utils\misc.py", line 101, in decorator
return fn(*args, **kwargs)
File "E:\新电脑文件\论文\图纸生成\生成多角度二维图\gan-space\ganspace-master-ada\ganspace\models\stylegan2_ada\stylegan2-ada-pytorch\torch_utils\ops\conv2d_resample.py", line 147, in conv2d_resample
return _conv2d_wrapper(x=x, w=w, padding=[py0,px0], groups=groups, flip_weight=flip_weight)
File "E:\新电脑文件\论文\图纸生成\生成多角度二维图\gan-space\ganspace-master-ada\ganspace\models\stylegan2_ada\stylegan2-ada-pytorch\torch_utils\ops\conv2d_resample.py", line 54, in _conv2d_wrapper
return op(x, w, stride=stride, padding=padding, groups=groups)
File "E:\新电脑文件\论文\图纸生成\生成多角度二维图\gan-space\ganspace-master-ada\ganspace\models\stylegan2_ada\stylegan2-ada-pytorch\torch_utils\ops\conv2d_gradfix.py", line 38, in conv2d
return torch.nn.functional.conv2d(input=input, weight=weight, bias=bias, stride=stride, padding=padding, dilation=dilation, groups=groups)
RuntimeError: cuda runtime error (1) : invalid argument at C:/w/b/windows/pytorch/aten/src\THC/generic/THCTensorMath.cu:29

Process finished with exit code 1