Jack6680 commented on issue #19808:
URL:
https://github.com/apache/incubator-mxnet/issues/19808#issuecomment-848668068
Good afternoon!
I also managed to convert resnest50 to onnx with this script
```
from gluoncv import model_zoo
import numpy as np
import mxnet as mx
model_name = 'resnest50'
resnet50 = model_zoo.get_model(model_name, pretrained=True)
print(model_name+' downloaded')
resnet50.hybridize()
print(model_name+' hybridized')
input_shape=(1,3,224,224)
data_array = np.random.uniform(0, 255, size=input_shape).astype("float32")
mx_data = mx.nd.array(data_array)
resnet50(mx_data)
resnet50.export(model_name)
print(model_name+' exported')
from mxnet.contrib import onnx as onnx_mxnet
onnx_file='./tp.onnx'
params = './'+model_name+'-0000.params'
sym='./'+model_name+'-symbol.json'
onnx_mxnet.export_model(sym, params, [input_shape], np.float32, onnx_file)
print('onnx export done')
```
But I can't convert back from onnx to mxnet. Example
```
import mxnet as mx
import mxnet.contrib.onnx as onnx_mxnet
sym, arg, aux = onnx_mxnet.import_model('./tp.onnx')
```
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NotImplementedError: Operator ScatterND not implemented.`
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