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pix2pixhd's Issues

How to use label_feat in training?

Hi tc,
I would like to use the semantic segmentation images to improve my training.I have the RGB directory named as train_A,another RGB directory named as train_B,, and the semantic segmentation images named as train_inst.My semantic segmentation images have 2 channels,that N=2.

My parameters are:

--label_nc 0 
--no_instance 
--label_feat 
--n_clusters 2

I met the following problem:

C:/cb/pytorch_1000000000000/work/aten/src/ATen/native/cuda/IndexKernel.cu:84: block: [1,0,0], thread: [123,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
C:/cb/pytorch_1000000000000/work/aten/src/ATen/native/cuda/IndexKernel.cu:84: block: [1,0,0], thread: [124,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
C:/cb/pytorch_1000000000000/work/aten/src/ATen/native/cuda/IndexKernel.cu:84: block: [1,0,0], thread: [125,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
C:/cb/pytorch_1000000000000/work/aten/src/ATen/native/cuda/IndexKernel.cu:84: block: [1,0,0], thread: [126,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
C:/cb/pytorch_1000000000000/work/aten/src/ATen/native/cuda/IndexKernel.cu:84: block: [1,0,0], thread: [127,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
Traceback (most recent call last):
  File "train_win10.py", line 148, in <module>
    train()
  File "train_win10.py", line 73, in train
    Variable(data['image']), Variable(data['feat']), infer=save_fake)
  File "C:\Users\*****\anaconda3\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 727, in _call_impl
    result = self.forward(*input, **kwargs)
  File "C:\Users\*****\anaconda3\envs\pytorch\lib\site-packages\torch\nn\parallel\data_parallel.py", line 159, in forward
    return self.module(*inputs[0], **kwargs[0])
  File "C:\Users\*****\anaconda3\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 727, in _call_impl
    result = self.forward(*input, **kwargs)
  File "D:\Desktop\pix2pixHD-master\models\pix2pixHD_model.py", line 159, in forward
    feat_map = self.netE.forward(real_image, inst_map)
  File "D:\Desktop\pix2pixHD-master\models\networks.py", line 285, in forward
    indices = (inst[b:b+1] == int(i)).nonzero() # n x 4
RuntimeError: CUDA error: device-side assert triggered

what is my problem? Is it because of the semantic segmentation images or my parameters are wrong. If so, how to modify it?

Thanks for your time.

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