Repository: pytorch
Issue: Could not guard on data-dependent expression u0 - 7 < 0 (unhinted: u0 - 7 < 0).  (Size-like symbols: u0)
Labels: triaged,oncall: pt2,module: dynamic shapes

### 🐛 Describe the bug

 ```python
    def forward(self, x, H, W):
        """ Forward function.
        Args:
            x: Input feature, tensor size (B, H*W, C).
            H, W: Spatial resolution of the input feature.
        """

        # calculate attention mask for SW-MSA
        #Hp = int(np.ceil(H / self.window_size)) * self.window_size
        #Wp = int(np.ceil(W / self.window_size)) * self.window_size
        # calculate attention mask for SW-MSA
        H_tensor = torch.tensor(H, dtype=torch.float32, device=x.device)
        W_tensor = torch.tensor(W, dtype=torch.float32, device=x.device)
        Hp = torch.ceil(H_tensor / self.window_size) * self.window_size
        Wp = torch.ceil(W_tensor / self.window_size) * self.window_size

        Hp = Hp.to(torch.int32)  # Ensure Hp is an integer tensor
        Wp = Wp.to(torch.int32)  # Ensure Wp is an integer tensor
        
        img_mask = torch.zeros((1, Hp, Wp, 1), device=x.device)  # 1 Hp Wp 1
        h_slices = (slice(0, -self.window_size),
                    slice(-self.window_size,
                          -self.shift_size), slice(-self.shift_size, None))
        w_slices = (slice(0, -self.window_size),
                    slice(-self.window_size,
                          -self.shift_size), slice(-self.shift_size, None))
        cnt = 0
        for h in h_slices:
            for w in w_slices:
                img_mask[:, h, w, :] = cnt
                cnt += 1
```
This is failing on `img_mask[:, h, w, :] = cnt`

If I add
```python
        torch._check_is_size(img_mask.shape[0])
        torch._check_is_size(img_mask.shape[1])
```
It is going to work up until we have a new input with a different input shape and we got the same error.

### Error logs

```python
GuardOnDataDependentSymNode: Could not guard on data-dependent expression u0 - 7 < 0 (unhinted: u0 - 7 < 0).  (Size-like symbols: u0)

Potential framework code culprit (scroll up for full backtrace):
  File "/opt/conda/lib/python3.11/site-packages/torch/_decomp/decompositions.py", line 761, in slice_forward
    if end_val < start_val:

For more information, run with TORCH_LOGS="dynamic"
For extended logs when we create symbols, also add TORCHDYNAMO_EXTENDED_DEBUG_CREATE_SYMBOL="u0"
If you suspect the guard was triggered from C++, add TORCHDYNAMO_EXTENDED_DEBUG_CPP=1
For more debugging help, see https://docs.google.com/document/d/1HSuTTVvYH1pTew89Rtpeu84Ht3nQEFTYhAX3Ypa_xJs/edit?usp=sharing

For C++ stack trace, run with TORCHDYNAMO_EXTENDED_DEBUG_CPP=1

While executing %setitem : [num_users=0] = call_function[target=operator.setitem](args = (%img_mask, (slice(None, None, None), slice(0, -7, None), slice(0, -7, None), slice(None, None, None)), 0), kwargs = {})
Original traceback:
  File "/workspace/networks/encoders/swin/swin_transformer.py", line 496, in forward
    img_mask[:, h, w, :] = cnt
```

### Minified repro

_No response_

### Versions

pytorch-nighlty

cc @ezyang @anijain2305 @chauhang