Error 3

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
Cell In[18], line 7
      5 for data_seq in tqdm(data_loader_train, total=len(data_loader_train), desc="Training", leave=False):
      6     buffer = torch.zeros(data_seq.shape[0], buffer_size, device=device)
----> 7     summary(gps_rnn, [(32,14,2), buffer])

File D:\ProgramData\Miniconda_3.9\envs\rnn-sample-py3.9\lib\site-packages\torchsummary\torchsummary.py:136, in summary(model, input_data, batch_dim, branching, col_names, col_width, depth, device, dtypes, verbose, *args, **kwargs)
    133 if device is None:
    134     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
--> 136 x, input_size = process_input_data(input_data, batch_dim, device, dtypes)
    137 args, kwargs = set_device(args, device), set_device(kwargs, device)
    138 try:

File D:\ProgramData\Miniconda_3.9\envs\rnn-sample-py3.9\lib\site-packages\torchsummary\torchsummary.py:215, in process_input_data(input_data, batch_dim, device, dtypes)
    213         if dtypes is None:
    214             dtypes = [torch.float] * len(input_data)
--> 215         input_size = get_correct_input_sizes(input_data)
    216         x = get_input_tensor(input_size, batch_dim, dtypes, device)
    218 else:

File D:\ProgramData\Miniconda_3.9\envs\rnn-sample-py3.9\lib\site-packages\torchsummary\torchsummary.py:261, in get_correct_input_sizes(input_size)
    258         else:
    259             yield item
--> 261 if not input_size or any(size <= 0 for size in flatten(input_size)):
    262     raise ValueError("Input_data is invalid, or negative size found in input_data.")
    264 if isinstance(input_size, list) and isinstance(input_size[0], int):

RuntimeError: Boolean value of Tensor with more than one value is ambiguous