onnxのinputの構造を取得するワンライナー

python3 -c 'import onnx;model=onnx.load("deeplab_edgetpu_default_argmax_xs.onnx");print([[d.dim_value for d in _input.type.tensor_type.shape.dim] for _input in model.graph.input])'

[[0, 3, 512, 512]]

import onnx
model=onnx.load("deeplab_edgetpu_default_argmax_xs.onnx")
inputs=[[d.dim_value for d in _input.type.tensor_type.shape.dim] for _input in model.graph.input]
print(inputs)
for input, input_shape in zip(model.graph.input, inputs):
    shape_string = ""
    for idx, shape in enumerate(input_shape):
        if idx==0 and shape==0:
            shape=1
        shape_string = f'{shape_string}{shape},'
    print(f'"{input.name}":{shape_string.rstrip(",")}')