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Error when running ICNet with PascalVOC

See original GitHub issue

Hello,

When I run python train.py --arch icnet --dataset pascal --n_epoch 500 I get the following output (checked on Windows and Linux, with PyTorch 0.3.1 and 0.4.1) The dataset is the one here.

Using custom loss
Traceback (most recent call last):
  File "train.py", line 160, in <module>
    train(args)
  File "train.py", line 86, in train
    outputs = model(images)
  File "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 357, in __call__
    result = self.forward(*input, **kwargs)
  File "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\parallel\data_parallel.py", line 68, in forward
    return self.module(*inputs, **kwargs)
  File "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 357, in __call__
    result = self.forward(*input, **kwargs)
  File "D:\nn\github\pytorch-semseg\ptsemseg\models\icnet.py", line 120, in forward
    x_sub24, sub4_cls = self.cff_sub24(x_sub4, x_sub2)
  File "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 357, in __call__
    result = self.forward(*input, **kwargs)
  File "D:\nn\github\pytorch-semseg\ptsemseg\models\utils.py", line 500, in forward
    high_fused_fm = F.relu(low_fm+high_fm, inplace=True)
RuntimeError: The size of tensor a (15) must match the size of tensor b (16) at non-singleton dimension 3

Am I doing something wrong? Please let me know if you need more info.

Issue Analytics

State:
Created 5 years ago
Comments:8 (2 by maintainers)

Top GitHub Comments

3reactions

adam9500370commented, Aug 12, 2018

Since the kernel sizes and strides of pyramid pooling in original ICNet implementation are hard-coded, https://github.com/meetshah1995/pytorch-semseg/blob/dfecf4973c702c9be4b55d5066bd4a79bcb0c1bb/ptsemseg/models/utils.py#L382-L383 you may replace those lines with the following lines to set k_sizes and strides appropriately. https://github.com/meetshah1995/pytorch-semseg/blob/dfecf4973c702c9be4b55d5066bd4a79bcb0c1bb/ptsemseg/models/utils.py#L376-L380

0reactions

zhengsz12commented, Apr 2, 2020

Thanks, solved.

am facing the similar problem now. Can you tell me how to modify the function get_interp_size in ptsemseg/models/utils.py?Thanks for you help.

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