Traceback (most recent call last):


 "scripts/train.py", line 258, in <module>

main()


 "scripts/train.py", line 204, in main

loss, miou = train(opt, train_loader, m, criterion, optimizer, writer)


 "scripts/train.py", line 41, in train

output = m(inps)


 "/home/ubuntu/anaconda3/envs/efficientdet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__

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


 "/home/ubuntu/anaconda3/envs/efficientdet/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 150, in forward

return self.module(*inputs[0], **kwargs[0])


 "/home/ubuntu/anaconda3/envs/efficientdet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__

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


 "/home/ubuntu/Workspace/AlphaPose/alphapose/models/fastpose.py", line 55, in forward

out = self.preact(x)


 "/home/ubuntu/anaconda3/envs/efficientdet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__

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


 "/home/ubuntu/Workspace/AlphaPose/alphapose/models/layers/SE_Resnet.py", line 185, in forward

x = self.layer2(x)
# 512 * h/8 * w/8


 "/home/ubuntu/anaconda3/envs/efficientdet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__

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


 "/home/ubuntu/anaconda3/envs/efficientdet/lib/python3.6/site-packages/torch/nn/modules/container.py", line 100, in forward

input = module(input)


 "/home/ubuntu/anaconda3/envs/efficientdet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__

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


 "/home/ubuntu/Workspace/AlphaPose/alphapose/models/layers/SE_Resnet.py", line 127, in forward

out = F.relu(self.bn2(self.conv2(out, offset)), inplace=True)


 "/home/ubuntu/anaconda3/envs/efficientdet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__

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


 "/home/ubuntu/Workspace/AlphaPose/alphapose/models/layers/dcn/deform_conv.py", line 236, in forward

self.dilation, self.groups, self.deformable_groups)


 "/home/ubuntu/Workspace/AlphaPose/alphapose/models/layers/dcn/deform_conv.py", line 55, in forward

cur_im2col_step)
RuntimeError: shape '[1, 1, 1152]' is invalid for input of size 56623104


Traceback (most recent call last):


 "<string>", line 1, in <module>


 "C:\Users\shaz\Anaconda3\lib\site-packages\vispy\app\_default_app.py", line 47, in use_app

default_app = Application(backend_name)


 "C:\Users\shaz\Anaconda3\lib\site-packages\vispy\app\application.py", line 49, in __init__

self._use(backend_name)


 "C:\Users\shaz\Anaconda3\lib\site-packages\vispy\app\application.py", line 235, in _use

raise RuntimeError(msg)

RuntimeError: Could not import backend "_test":
