NotImplementedError: AvgPool with non symmetrical padding is not implemented.

[pzy2000]

Traceback (most recent call last):
File "issue_onnx2torch_002.py", line 15, in
torch_model = convert(onnx_model_path)
File "/opt/conda/envs/tf2onnx/lib/python3.7/site-packages/onnx2torch/converter.py", line 110, in convert
torch_module, onnx_mapping = converter(onnx_node, onnx_graph)
File "/opt/conda/envs/tf2onnx/lib/python3.7/site-packages/onnx2torch/node_converters/average_pool.py", line 48, in _
raise NotImplementedError('AvgPool with non symmetrical padding is not implemented.')
NotImplementedError: AvgPool with non symmetrical padding is not implemented.

running the below codes to reproduce:

import numpy as np
import torch
from onnx2torch import convert

def _init_input(input_shape):
input_shape = list(input_shape)
input_shape[0] = 10
input_shape = tuple(input_shape)
input = np.random.rand(*input_shape)
return input

onnx_model_path = "../autoconverter/onnx/lenet5-mnist_origin-MDtype0-MDims1-SpecialI5-MParam6-MParam30-MDtype55.onnx"
torch_model = convert(onnx_model_path)