with the following results. ( plz guide and advise )
(pifuhd) C:\Users\H\Downloads\pifuhd-main>python -m apps.simple_test
Resuming from ./checkpoints/pifuhd.pt
C:\ProgramData\Anaconda3\envs\pifuhd\lib\site-packages\torch\cuda__init__.py:81: UserWarning:
Found GPU0 GeForce GTX 880M which is of cuda capability 3.0.
PyTorch no longer supports this GPU because it is too old.
The minimum cuda capability that we support is 3.5.
warnings.warn(old_gpu_warn % (d, name, major, capability[1]))
Warning: opt is overwritten.
test data size: 1
initialize network with normal
initialize network with normal
generate mesh (test) ...
0%| | 0/1 [00:00<?, ?it/s]./results/pifuhd_final/recon/result_test_512.obj
0%| | 0/1 [00:00<?, ?it/s]
Traceback (most recent call last):
File "C:\ProgramData\Anaconda3\envs\pifuhd\lib\runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\ProgramData\Anaconda3\envs\pifuhd\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "C:\Users\H\Downloads\pifuhd-main\apps\simple_test.py", line 30, in
reconWrapper(cmd, args.use_rect)
File "C:\Users\H\Downloads\pifuhd-main\apps\recon.py", line 220, in reconWrapper
recon(opt, use_rect)
File "C:\Users\H\Downloads\pifuhd-main\apps\recon.py", line 210, in recon
gen_mesh(opt.resolution, netMR, cuda, test_data, save_path, components=opt.use_compose)
File "C:\Users\H\Downloads\pifuhd-main\apps\recon.py", line 38, in gen_mesh
net.filter_global(image_tensor_global)
File "C:\Users\H\Downloads\pifuhd-main\lib\model\HGPIFuMRNet.py", line 83, in filter_global
self.netG.filter(images)
File "C:\Users\H\Downloads\pifuhd-main\lib\model\HGPIFuNetwNML.py", line 122, in filter
self.nmlF = self.netF.forward(images).detach()
File "C:\Users\H\Downloads\pifuhd-main\lib\networks.py", line 163, in forward
return self.model(input)
File "C:\ProgramData\Anaconda3\envs\pifuhd\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, *kwargs)
File "C:\ProgramData\Anaconda3\envs\pifuhd\lib\site-packages\torch\nn\modules\container.py", line 119, in forward
input = module(input)
File "C:\ProgramData\Anaconda3\envs\pifuhd\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(input, **kwargs)
File "C:\ProgramData\Anaconda3\envs\pifuhd\lib\site-packages\torch\nn\modules\padding.py", line 173, in forward
return F.pad(input, self.padding, 'reflect')
File "C:\ProgramData\Anaconda3\envs\pifuhd\lib\site-packages\torch\nn\functional.py", line 4017, in _pad
return torch._C._nn.reflection_pad2d(input, pad)
RuntimeError: CUDA error: no kernel image is available for execution on the device
Hi. executing the following commands fails
" (base) C:\Users\H\Downloads\pifuhd-main>conda activate pifuhd "
with the following results. ( plz guide and advise )
(pifuhd) C:\Users\H\Downloads\pifuhd-main>python -m apps.simple_test Resuming from ./checkpoints/pifuhd.pt C:\ProgramData\Anaconda3\envs\pifuhd\lib\site-packages\torch\cuda__init__.py:81: UserWarning: Found GPU0 GeForce GTX 880M which is of cuda capability 3.0. PyTorch no longer supports this GPU because it is too old. The minimum cuda capability that we support is 3.5.
warnings.warn(old_gpu_warn % (d, name, major, capability[1])) Warning: opt is overwritten. test data size: 1 initialize network with normal initialize network with normal generate mesh (test) ... 0%| | 0/1 [00:00<?, ?it/s]./results/pifuhd_final/recon/result_test_512.obj 0%| | 0/1 [00:00<?, ?it/s] Traceback (most recent call last): File "C:\ProgramData\Anaconda3\envs\pifuhd\lib\runpy.py", line 197, in _run_module_as_main return _run_code(code, main_globals, None, File "C:\ProgramData\Anaconda3\envs\pifuhd\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "C:\Users\H\Downloads\pifuhd-main\apps\simple_test.py", line 30, in
reconWrapper(cmd, args.use_rect)
File "C:\Users\H\Downloads\pifuhd-main\apps\recon.py", line 220, in reconWrapper
recon(opt, use_rect)
File "C:\Users\H\Downloads\pifuhd-main\apps\recon.py", line 210, in recon
gen_mesh(opt.resolution, netMR, cuda, test_data, save_path, components=opt.use_compose)
File "C:\Users\H\Downloads\pifuhd-main\apps\recon.py", line 38, in gen_mesh
net.filter_global(image_tensor_global)
File "C:\Users\H\Downloads\pifuhd-main\lib\model\HGPIFuMRNet.py", line 83, in filter_global
self.netG.filter(images)
File "C:\Users\H\Downloads\pifuhd-main\lib\model\HGPIFuNetwNML.py", line 122, in filter
self.nmlF = self.netF.forward(images).detach()
File "C:\Users\H\Downloads\pifuhd-main\lib\networks.py", line 163, in forward
return self.model(input)
File "C:\ProgramData\Anaconda3\envs\pifuhd\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, *kwargs)
File "C:\ProgramData\Anaconda3\envs\pifuhd\lib\site-packages\torch\nn\modules\container.py", line 119, in forward
input = module(input)
File "C:\ProgramData\Anaconda3\envs\pifuhd\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(input, **kwargs)
File "C:\ProgramData\Anaconda3\envs\pifuhd\lib\site-packages\torch\nn\modules\padding.py", line 173, in forward
return F.pad(input, self.padding, 'reflect')
File "C:\ProgramData\Anaconda3\envs\pifuhd\lib\site-packages\torch\nn\functional.py", line 4017, in _pad
return torch._C._nn.reflection_pad2d(input, pad)
RuntimeError: CUDA error: no kernel image is available for execution on the device