TypeError: can only concatenate list (not "str") to list

shoghilin commented 1 year ago

When trying to run the sample code

from torchsummaryX import summary
import torch
from torch import nn
from torch.nn import functional as F

class Net(nn.Module):
    def __init__(self):
        super(Net, self).__init__()
        self.conv1 = nn.Conv2d(1, 10, kernel_size=5)
        self.conv2 = nn.Conv2d(10, 20, kernel_size=5)
        self.conv2_drop = nn.Dropout2d()
        self.fc1 = nn.Linear(320, 50)
        self.fc2 = nn.Linear(50, 10)

    def forward(self, x):
        x = F.relu(F.max_pool2d(self.conv1(x), 2))
        x = F.relu(F.max_pool2d(self.conv2_drop(self.conv2(x)), 2))
        x = x.view(-1, 320)
        x = F.relu(self.fc1(x))
        x = F.dropout(x, training=self.training)
        x = self.fc2(x)
        return F.log_softmax(x, dim=1)
summary(Net(), torch.zeros((1, 1, 28, 28)))

the error happened.

Traceback (most recent call last):
  File "C:\Users\shoghi\Desktop\liver_segmentation\LTS_code\temp.py", line 23, in <module>
    summary(Net(), torch.zeros((1, 1, 28, 28)))
  File "C:\Users\shoghi\anaconda3\envs\liver_segmentation\Lib\site-packages\torchsummaryX\torchsummaryX.py", line 101, in summary
    df_sum = df.sum()
             ^^^^^^^^
  File "C:\Users\shoghi\anaconda3\envs\liver_segmentation\Lib\site-packages\pandas\core\generic.py", line 11512, in sum
    return NDFrame.sum(self, axis, skipna, numeric_only, min_count, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\shoghi\anaconda3\envs\liver_segmentation\Lib\site-packages\pandas\core\generic.py", line 11280, in sum
    return self._min_count_stat_function(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\shoghi\anaconda3\envs\liver_segmentation\Lib\site-packages\pandas\core\generic.py", line 11263, in _min_count_stat_function
    return self._reduce(
           ^^^^^^^^^^^^^
  File "C:\Users\shoghi\anaconda3\envs\liver_segmentation\Lib\site-packages\pandas\core\frame.py", line 10524, in _reduce
    res = df._mgr.reduce(blk_func)
          ^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\shoghi\anaconda3\envs\liver_segmentation\Lib\site-packages\pandas\core\internals\managers.py", line 1534, in reduce
    nbs = blk.reduce(func)
          ^^^^^^^^^^^^^^^^
  File "C:\Users\shoghi\anaconda3\envs\liver_segmentation\Lib\site-packages\pandas\core\internals\blocks.py", line 339, in reduce
    result = func(self.values)
             ^^^^^^^^^^^^^^^^^
  File "C:\Users\shoghi\anaconda3\envs\liver_segmentation\Lib\site-packages\pandas\core\frame.py", line 10487, in blk_func
    return op(values, axis=axis, skipna=skipna, **kwds)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\shoghi\anaconda3\envs\liver_segmentation\Lib\site-packages\pandas\core\nanops.py", line 96, in _f
    return f(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^
  File "C:\Users\shoghi\anaconda3\envs\liver_segmentation\Lib\site-packages\pandas\core\nanops.py", line 421, in new_func
    result = func(values, axis=axis, skipna=skipna, mask=mask, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\shoghi\anaconda3\envs\liver_segmentation\Lib\site-packages\pandas\core\nanops.py", line 494, in newfunc
    return func(values, axis=axis, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\shoghi\anaconda3\envs\liver_segmentation\Lib\site-packages\pandas\core\nanops.py", line 652, in nansum
    the_sum = values.sum(axis, dtype=dtype_sum)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\shoghi\anaconda3\envs\liver_segmentation\Lib\site-packages\numpy\core\_methods.py", line 49, in _sum
    return umr_sum(a, axis, dtype, out, keepdims, initial, where)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: can only concatenate list (not "str") to list