Traceback (most recent call last):


 "/home/mainak/anaconda2/lib/python2.7/site-packages/matplotlib/backends/t

guiEvent=event)


 "/home/mainak/anaconda2/lib/python2.7/site-packages/matplotlib/backend_bt

self.callbacks.process(s, mouseevent)


 "/home/mainak/anaconda2/lib/python2.7/site-packages/matplotlib/cbook.py"s

proxy(*args, **kwargs)


 "/home/mainak/anaconda2/lib/python2.7/site-packages/matplotlib/cbook.py"_

return mtd(*args, **kwargs)


 "/home/mainak/anaconda2/lib/python2.7/site-packages/matplotlib/widgets.pd

self.set_active(i)


 "/home/mainak/anaconda2/lib/python2.7/site-packages/matplotlib/widgets.pe

func(self.labels[index].get_text())


 "mne/viz/utils.py", line 257, in _toggle_proj

params['plot_update_proj_callback'](params, bools)


 "mne/viz/topomap.py", line 103, in _plot_update_evoked_topomap

params['time_idx'])] * params['scale']
IndexError: index 104 is out of bounds for axis 0 with size 102

Traceback (most recent call last):


 "d:\programdata\anaconda3\lib\runpy.py", line 193, in _run_module_as_main

"__main__", mod_spec)


 "d:\programdata\anaconda3\lib\runpy.py", line 85, in _run_code

exec(code, run_globals)


 "C:\Users\hater\AppData\Roaming\Python\Python37\Scripts\stylegan2_pytorch.exe\__main__.py", line 7, in <module>


 "C:\Users\hater\AppData\Roaming\Python\Python37\site-packages\stylegan2_pytorch\cli.py", line 176, in main

fire.Fire(train_from_folder)


 "C:\Users\hater\AppData\Roaming\Python\Python37\site-packages\fire\core.py", line 138, in Fire

component_trace = _Fire(component, args, parsed_flag_args, context, name)


 "C:\Users\hater\AppData\Roaming\Python\Python37\site-packages\fire\core.py", line 468, in _Fire

target=component.__name__)


 "C:\Users\hater\AppData\Roaming\Python\Python37\site-packages\fire\core.py", line 672, in _CallAndUpdateTrace

component = fn(*varargs, **kwargs)


 "C:\Users\hater\AppData\Roaming\Python\Python37\site-packages\stylegan2_pytorch\cli.py", line 167, in train_from_folder

run_training(0, 1, model_args, data, load_from, new, num_train_steps, name, seed)


 "C:\Users\hater\AppData\Roaming\Python\Python37\site-packages\stylegan2_pytorch\cli.py", line 59, in run_training

retry_call(model.train, tries=3, exceptions=NanException)


 "C:\Users\hater\AppData\Roaming\Python\Python37\site-packages\retry\api.py", line 101, in retry_call

return __retry_internal(partial(f, *args, **kwargs), exceptions, tries, delay, max_delay, backoff, jitter, logger)


 "C:\Users\hater\AppData\Roaming\Python\Python37\site-packages\retry\api.py", line 33, in __retry_internal

return f()


 "C:\Users\hater\AppData\Roaming\Python\Python37\site-packages\stylegan2_pytorch\stylegan2_pytorch.py", line 928, in train

w_space = latent_to_w(S, style)


 "C:\Users\hater\AppData\Roaming\Python\Python37\site-packages\stylegan2_pytorch\stylegan2_pytorch.py", line 217, in latent_to_w

return [(style_vectorizer(z), num_layers) for z, num_layers in latent_descr]


 "C:\Users\hater\AppData\Roaming\Python\Python37\site-packages\stylegan2_pytorch\stylegan2_pytorch.py", line 217, in <listcomp>

return [(style_vectorizer(z), num_layers) for z, num_layers in latent_descr]


 "d:\programdata\anaconda3\lib\site-packages\torch\nn\modules\module.py", line 550, in __call__

result = self.forward(*input, **kwargs)


 "C:\Users\hater\AppData\Roaming\Python\Python37\site-packages\stylegan2_pytorch\stylegan2_pytorch.py", line 364, in forward

x = F.normalize(x, dim=1)


 "d:\programdata\anaconda3\lib\site-packages\torch\nn\functional.py", line 3590, in normalize

denom = input.norm(p, dim, keepdim=True).clamp_min(eps).expand_as(input)


 "d:\programdata\anaconda3\lib\site-packages\torch\tensor.py", line 342, in norm

return torch.norm(self, p, dim, keepdim, dtype=dtype)


 "d:\programdata\anaconda3\lib\site-packages\torch\functional.py", line 882, in norm

return _VF.norm(input, p, _dim, keepdim=keepdim)
RuntimeError: CUDA error: no kernel image is available for execution on the device
