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DEBUG:onnx2keras:...
DEBUG:onnx2keras:Check if all inputs are available:
DEBUG:onnx2keras:Check input 0 (name actual_input).
DEBUG:onnx2keras:Check input 1 (name /Constant_output_0).
DEBUG:onnx2keras:... found all, continue
DEBUG:onnx2keras:reshape:The second argument is numpy array.
DEBUG:onnx2keras:reshape:The first argument is Keras/tf layer. Apply keras.Reshape.
DEBUG:onnx2keras:reshape:Target shape :
DEBUG:onnx2keras:reshape:[784]
....
--> 191 layers[node_name] = reshape(input_0)
....
ValueError: '/Reshape_output_0/' is not a valid root scope name. A root scope name has to match the following pattern: ^[A-Za-z0-9.][A-Za-z0-9_.\/>-]*$
The text was updated successfully, but these errors were encountered:
Trying to load and use onnx exported from pytorch - (1, 3, 28, 28).
onnx_model = onnx.load('data/export-torch.onnx')
k_model = onnx_to_keras(onnx_model, ['actual_input'])
DEBUG:onnx2keras:...
DEBUG:onnx2keras:Check if all inputs are available:
DEBUG:onnx2keras:Check input 0 (name actual_input).
DEBUG:onnx2keras:Check input 1 (name /Constant_output_0).
DEBUG:onnx2keras:... found all, continue
DEBUG:onnx2keras:reshape:The second argument is numpy array.
DEBUG:onnx2keras:reshape:The first argument is Keras/tf layer. Apply keras.Reshape.
DEBUG:onnx2keras:reshape:Target shape :
DEBUG:onnx2keras:reshape:[784]
....
--> 191 layers[node_name] = reshape(input_0)
....
ValueError: '/Reshape_output_0/' is not a valid root scope name. A root scope name has to match the following pattern: ^[A-Za-z0-9.][A-Za-z0-9_.\/>-]*$
The text was updated successfully, but these errors were encountered: