JiaoPaner opened a new issue #20727:
URL: https://github.com/apache/incubator-mxnet/issues/20727
# Ask a Question
I success convert mxnet model to onnx but it failed when inference .The
model 's shape is (1,1,100,100)
**convert code**
```
sym = 'single-symbol.json'
params = '/single-0090.params'
input_shape = (1, 1, 100, 100)
onnx_file = './model.onnx'
converted_model_path = onnx_mxnet.export_model(sym, params, [input_shape],
np.float32, onnx_file,verbose=True)
model= onnx.load_model(converted_model_path)
checker.check_graph(model.graph)
checker.check_model(model)
```
**output**
```
INFO:root:Input shape of the model [(1, 1, 100, 100)]
INFO:root:Exported ONNX file ./model.onnx saved to disk
```
**inference code**
```
sess = ort.InferenceSession("./model.onnx")
```
**output**
```
onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException:
[ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION :
Exception during initialization:
/onnxruntime/core/providers/cpu/nn/pool_attributes.h:77
onnxruntime::PoolAttributes::PoolAttributes(const
OpNodeProtoHelper<onnxruntime::ProtoHelperNodeContext> &,
const std::string &, int)
pads[dim] < kernel_shape[dim] &&
pads[dim +
kernel_shape.size()] < kernel_shape[dim] was false.
Pad should be smaller than kernel.
```
### Question
**mxnet pooling node json**
```
{
"op": "Pooling",
"name": "pool1_fwd",
"attrs": {
"count_include_pad": "True",
"global_pool": "False",
"kernel": "(4, 4)",
"layout": "NCHW",
"pad": "(4, 4)",
"pool_type": "avg",
"pooling_convention": "valid",
"stride": "(4, 4)"
},
"inputs": [[46, 0, 0]]
}
```
I change the "pad": "(4, 4)" to "pad": "(3, 3)" smaller than "kernel": "(4,
4), then try convert again.
```
sess = ort.InferenceSession("./model.onnx")
output = sess.run(None, {"data": data.astype(np.float32)})
```
it worked,but the output value is not right.
how to fix it ?
BTW:convert the mxnet model to ncnn all is right(not change
anything,pad=(4,4),kernel=(4,4))
### Further information
python:3.8
onnx:1.10.2
mxnet:1.8.0
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