Traceback (most recent call last):


 "trainval_net.py", line 330, in <module>

roi_labels = FPN(im_data, im_info, gt_boxes, num_boxes)


 "/home/k21993/anaconda3/envs/python27/lib/python2.7/site-packages/torch/nn/modules/module.py", line 224, in __call__

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


 "/home/k21993/anaconda3/envs/python27/lib/python2.7/site-packages/torch/nn/parallel/data_parallel.py", line 60, in forward

outputs = self.parallel_apply(replicas, inputs, kwargs)


 "/home/k21993/anaconda3/envs/python27/lib/python2.7/site-packages/torch/nn/parallel/data_parallel.py", line 70, in parallel_apply

return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])


 "/home/k21993/anaconda3/envs/python27/lib/python2.7/site-packages/torch/nn/parallel/parallel_apply.py", line 67, in parallel_apply

raise output
RuntimeError: invalid argument 3: expecting vector of indices at /opt/conda/conda-bld/pytorch_1503966894950/work/torch/lib/THC/generic/THCTensorIndex.cu:4
Traceback (most recent call last):


 "inference.py", line 93, in <module>

args.sampling_rate, args.is_fp16, args.denoiser_strength)


 "inference.py", line 61, in main

audio = waveglow.infer(mel, sigma=sigma)


 "C:\Users\rodrigo.brechard\PycharmProjects\waveglow\glow.py", line 276, in infer

output = self.WN[k]((audio_0, spect))


 "C:\Users\rodrigo.brechard\AppData\Local\Continuum\miniconda3\envs\waveglow\lib\site-packages\torch\nn\modules\module.py", line 532, in __call__

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


 "C:\Users\rodrigo.brechard\PycharmProjects\waveglow\glow.py", line 155, in forward

audio = self.start(audio)


 "C:\Users\rodrigo.brechard\AppData\Local\Continuum\miniconda3\envs\waveglow\lib\site-packages\torch\nn\modules\module.py", line 532, in __call__

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


 "C:\Users\rodrigo.brechard\AppData\Local\Continuum\miniconda3\envs\waveglow\lib\site-packages\torch\nn\modules\conv.py", line 202, in forward

self.padding, self.dilation, self.groups)
RuntimeError: Given groups=1, weight of size 256 3 1, expected input[1, 2, 25472] to have 3 channels, but got 2 channels instead
