TypeError: forward() missing 1 required positional argument: 'x'

[joshclancy]

Just started using hidden layer, looks great but haven't gotten it to work yet. I am not sure what I am doing wrong here.

import hiddenlayer as hl
graph = hl.build_graph(discriminator, torch.zeros([1, 1, 128, 128])) #My input is binary
graph = graph.build_dot()
graph.render(path, view=True, format='png')

837         from torchviz import make_dot
 838         import hiddenlayer as hl

---> 839 graph = hl.build_graph(discriminator, torch.zeros([1, 1, 128, 128]))
840 graph = graph.build_dot()
841 graph.render('C:\Users\joshu\Documents\2019_Flabels\2020_HC_VACS2', view=True, format='png')

~\Anaconda3\envs\flabels\lib\site-packages\hiddenlayer\graph.py in build_graph(model, args, input_names, transforms, framework_transforms)
141 from .pytorch_builder import import_graph, FRAMEWORK_TRANSFORMS
142 assert args is not None, "Argument args must be provided for Pytorch models."
--> 143 import_graph(g, model, args)
144 elif framework == "tensorflow":
145 from .tf_builder import import_graph, FRAMEWORK_TRANSFORMS

~\Anaconda3\envs\flabels\lib\site-packages\hiddenlayer\pytorch_builder.py in import_graph(hl_graph, model, args, input_names, verbose)
68
69 # Run the Pytorch graph to get a trace and generate a graph from it
---> 70 trace, out = torch.jit._get_trace_graph(model, args)
71 torch_graph = torch.onnx._optimize_trace(trace, torch.onnx.OperatorExportTypes.ONNX)
72

~\Anaconda3\envs\flabels\lib\site-packages\torch\jit_init_.py in _get_trace_graph(f, args, kwargs, _force_outplace, return_inputs, _return_inputs_states)
275 if not isinstance(args, tuple):
276 args = (args,)
--> 277 outs = ONNXTracedModule(f, _force_outplace, return_inputs, _return_inputs_states)(*args, **kwargs)
278 return outs
279

~\Anaconda3\envs\flabels\lib\site-packages\torch\nn\modules\module.py in call(self, *input, **kwargs)
530 result = self._slow_forward(*input, **kwargs)
531 else:
--> 532 result = self.forward(*input, **kwargs)
533 for hook in self._forward_hooks.values():
534 hook_result = hook(self, input, result)

~\Anaconda3\envs\flabels\lib\site-packages\torch\jit_init_.py in forward(self, *args)
358 in_vars + module_state,
359 _create_interpreter_name_lookup_fn(),
--> 360 self._force_outplace,
361 )
362

~\Anaconda3\envs\flabels\lib\site-packages\torch\jit_init_.py in wrapper(*args)
345 if self._return_inputs_states:
346 inputs_states.append(_unflatten(args[:len(in_vars)], in_desc))
--> 347 outs.append(self.inner(*trace_inputs))
348 if self._return_inputs_states:
349 inputs_states[0] = (inputs_states[0], trace_inputs)

~\Anaconda3\envs\flabels\lib\site-packages\torch\nn\modules\module.py in call(self, *input, **kwargs)
528 input = result
529 if torch._C._get_tracing_state():
--> 530 result = self._slow_forward(*input, **kwargs)
531 else:
532 result = self.forward(*input, **kwargs)

~\Anaconda3\envs\flabels\lib\site-packages\torch\nn\modules\module.py in _slow_forward(self, *input, **kwargs)
514 recording_scopes = False
515 try:
--> 516 result = self.forward(*input, **kwargs)
517 finally:
518 if recording_scopes:

TypeError: forward() missing 1 required positional argument: 'x'

[samruddhishastri]

Hi, I am facing the same issue. Were you able to resolve it?