Helo , I build from source with mxnet framework here . It was success testing simeple, tensorrt with resnet18 image classification but have something issue with onnx. I try to export mxnet to onnx model using python3 like below :
import mxnet as mx
import numpy as np
from mxnet.contrib import onnx as onnx_mxnet
import logging
logging.basicConfig(level=logging.INFO)
path='http://data.mxnet.io/models/imagenet/'
mx.test_utils.download(path+'resnet/18-layers/resnet-18-0000.params')
mx.test_utils.download(path+'resnet/18-layers/resnet-18-symbol.json')
mx.test_utils.download(path+'synset.txt')
sym = './resnet-18-symbol.json'
params = './resnet-18-0000.params'
input_shape = (1,3,224,224)
onnx_file = './mxnet_exported_resnet50.onnx'
converted_model_path = onnx_mxnet.export_model(sym, params,
[input_shape], np.float32, onnx_file)
And then I got issue like this :
tor_database.cc:118] File already exists in database: onnx/onnx-ml.proto
[libprotobuf FATAL google/protobuf/descriptor.cc:1367] CHECK failed:
GeneratedDatabase()->Add(encoded_file_descriptor, size):
terminate called after throwing an instance of
'google::protobuf::FatalException'
what(): CHECK failed: GeneratedDatabase()-
>Add(encoded_file_descriptor, size):
Aborted (core dumped)
Thank you.