--------------------------------------------------------------------------- TypeError Traceback (most recent call last) File D:\ProgramData\Miniconda_3.9\envs\rnn-sample-py3.9\lib\site-packages\torchsummary\torchsummary.py:140, in summary(model, input_data, batch_dim, branching, col_names, col_width, depth, device, dtypes, verbose, *args, **kwargs) 139 with torch.no_grad(): --> 140 _ = model.to(device)(*x, *args, **kwargs) # type: ignore[misc] 141 except Exception as e: File D:\ProgramData\Miniconda_3.9\envs\rnn-sample-py3.9\lib\site-packages\torch\nn\modules\module.py:1518, in Module._wrapped_call_impl(self, *args, **kwargs) 1517 else: -> 1518 return self._call_impl(*args, **kwargs) File D:\ProgramData\Miniconda_3.9\envs\rnn-sample-py3.9\lib\site-packages\torch\nn\modules\module.py:1527, in Module._call_impl(self, *args, **kwargs) 1524 if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks 1525 or _global_backward_pre_hooks or _global_backward_hooks 1526 or _global_forward_hooks or _global_forward_pre_hooks): -> 1527 return forward_call(*args, **kwargs) 1529 try: TypeError: forward() missing 1 required positional argument: 'buffer_in' The above exception was the direct cause of the following exception: RuntimeError Traceback (most recent call last) Cell In[20], line 2 1 from torchsummary import summary ----> 2 summary(gps_rnn, (32,14,2)) File D:\ProgramData\Miniconda_3.9\envs\rnn-sample-py3.9\lib\site-packages\torchsummary\torchsummary.py:143, in summary(model, input_data, batch_dim, branching, col_names, col_width, depth, device, dtypes, verbose, *args, **kwargs) 141 except Exception as e: 142 executed_layers = [layer for layer in summary_list if layer.executed] --> 143 raise RuntimeError( 144 "Failed to run torchsummary. See above stack traces for more details. " 145 "Executed layers up to: {}".format(executed_layers) 146 ) from e 147 finally: 148 if hooks is not None: RuntimeError: Failed to run torchsummary. See above stack traces for more details. Executed layers up to: []