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AxisCommunications / onnx-to-keras

Convert onnx models exported from pytorch to tensorflow keras models with focus on performace and highleve compatibility.
MIT License
25 stars 13 forks source link

Not implementederror #19

Closed ankitchandracs closed 3 years ago

ankitchandracs commented 3 years ago

Traceback (most recent call last): File "onnx2keras.py", line 642, in Fire(main) File "/usr/local/lib/python3.7/dist-packages/fire/core.py", line 141, in Fire component_trace = _Fire(component, args, parsed_flag_args, context, name) File "/usr/local/lib/python3.7/dist-packages/fire/core.py", line 471, in _Fire target=component.name) File "/usr/local/lib/python3.7/dist-packages/fire/core.py", line 681, in _CallAndUpdateTrace component = fn(*varargs, *kwargs) File "onnx2keras.py", line 633, in main model = onnx2keras(onnx.load(infile)) File "onnx2keras.py", line 621, in onnx2keras output_tensors = ops.make_op(node.op_type, inputs, attrs) File "onnx2keras.py", line 18, in makeop return getattr(self, 'op' + op_type.lower())(inputs, **attrs) File "onnx2keras.py", line 213, in op_concat raise NotImplementedError NotImplementedError

hakanardo commented 3 years ago

This is hopefully solved now. Pleas reopen if not.