some error when there is "reshape" in forward

Here I find the x is , and x.size(0) is no longer "int". It reports "TypeError: reshape(): argument 'shape' (position 2) must be tuple of ints, not tuple"

```
import numpy as np
import torchaudio
import torch

import torch
from torch import nn
from pthflops import count_ops

class CustomLayer(nn.Module):
def __init__(self):
super(CustomLayer, self).__init__()
self.conv1 = nn.Conv2d(5, 5, 1, 1, 0)
# ... other layers present inside will also be ignored

def forward(self, x):
x = torch.reshape(x, (x.size(0) , x.size(1), x.size(2), x.size(3)))
return self.conv1(x)

# Create a network and a corresponding input
inp = torch.rand(1,5,7,7)
net = nn.Sequential(
nn.Conv2d(5, 5, 1, 1, 0),
nn.ReLU(inplace=True),
CustomLayer()
)

count_ops(net, inp)
```

The issue is in the pthflops library's handling of torch.reshape with Proxy objects. Look at the count_ops function and how it traces operations. The error occurs when x.size(0) returns a Proxy instead of an int. Check the library's proxy handling in the codebase, likely in the core counting or graph traversal logic. The fix involves ensuring shape arguments are properly evaluated or handled during tracing.

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