1cf4c73059ba4435f37a93a316edbd426263cbf0,pytorch2keras/converter.py,,pytorch_to_keras,#,141

Before Change

        if len(node_input_names) == 0:
            if len(node_inputs) > 0:
                if node_inputs[0] in model_inputs:
                    node_input_names.append(model_inputs[node_inputs[0]])
                else:
                    input_name = "input{0}".format(input_index)
                    if input_name not in layers:
                        continue
                    node_input_names.append(input_name)
                    input_index += 1
                    model_inputs[node_inputs[0]] = input_name

        node_type = node.kind()
        // print(dir(node))

        node_scope_name = node.scopeName()

After Change

    graph_inputs = [n.uniqueName() for n in trace.graph().inputs()]
    print("Graph inputs:", graph_inputs)

    // Collect model state dict
    state_dict = _unique_state_dict(model)
    if verbose:

Instances