ValueError: padding should have 3 elements. Received: [0].

[Eien9]

i was trying to export .onnx file to .h5 file
i don't konw how to solve this error
DEBUG:onnx2keras:Output TF Layer -> KerasTensor(type_spec=TensorSpec(shape=(None, 128, 42), dtype=tf.float32, name=None), name='input.1/transpose_1:0', description="created by layer 'input.1'")
DEBUG:onnx2keras:######
DEBUG:onnx2keras:...
DEBUG:onnx2keras:Converting ONNX operation
DEBUG:onnx2keras:type: Relu
DEBUG:onnx2keras:node_name: onnx::MaxPool_16
DEBUG:onnx2keras:node_params: {'change_ordering': False, 'name_policy': None}
DEBUG:onnx2keras:...
DEBUG:onnx2keras:Check if all inputs are available:
DEBUG:onnx2keras:Check input 0 (name input.1).
DEBUG:onnx2keras:... found all, continue
DEBUG:onnx2keras:######
DEBUG:onnx2keras:...
DEBUG:onnx2keras:Converting ONNX operation
DEBUG:onnx2keras:type: MaxPool
DEBUG:onnx2keras:node_name: input.4
DEBUG:onnx2keras:node_params: {'kernel_shape': [2], 'pads': [0, 0], 'strides': [2], 'change_ordering': False, 'name_policy': None}
DEBUG:onnx2keras:...
DEBUG:onnx2keras:Check if all inputs are available:
DEBUG:onnx2keras:Check input 0 (name onnx::MaxPool_16).
DEBUG:onnx2keras:... found all, continue
WARNING:onnx2keras:maxpool:Unable to use same padding. Add ZeroPadding2D layer to fix shapes.
Traceback (most recent call last):
File "f:/vscode_workspace/model_output/to_onnx.py", line 101, in
onnx_to_h5(input_path, output_path) #将onnx模型转换为h5模型
File "f:/vscode_workspace/model_output/to_onnx.py", line 54, in onnx_to_h5
k_model = onnx_to_keras(onnx_model, ['input'])
File "D:\miniconda\envs\d2l\lib\site-packages\onnx2keras\converter.py", line 178, in onnx_to_keras
AVAILABLE_CONVERTERS[node_type](
File "D:\miniconda\envs\d2l\lib\site-packages\onnx2keras\pooling_layers.py", line 50, in convert_maxpool
padding_layer = keras.layers.ZeroPadding3D(
File "D:\miniconda\envs\d2l\lib\site-packages\keras\layers\reshaping\zero_padding3d.py", line 94, in init
raise ValueError(
ValueError: padding should have 3 elements. Received: [0].

[BGG19]

hey, I've got the same problem now. Did you find any way to fix it ?