Mxnet to tensorflow

[Manideep08]

Platform (like ubuntu 16.04/win10): Google Colab

Python version: 3.6.9

Source framework with version : MXNET with GPU

Destination framework with version : Tensorflow 1.14 GPU

Pre-trained model path (webpath or webdisk path): this

Running scripts:

I am trying to convert this to IR form and then to tensorflow. But I am facing issues as below

Code : !mmtoir -f mxnet -n symbol_10_160_17L_4scales_v1_deploy.json -d rand_scl --inputShape 3,256,256

Error messages

/usr/local/lib/python3.6/dist-packages/mxnet/module/base_module.py:55: UserWarning: You created Module with Module(..., label_names=['softmax_label']) but input with name 'softmax_label' is not found in symbol.list_arguments(). Did you mean one of: data warnings.warn(msg) Warning: MXNet Parser has not supported operator null with name data. Warning: convert the null operator with name [data] into input layer. Warning: MXNet Parser has not supported operator slice_axis with name slice_axis16. Traceback (most recent call last): File "/usr/local/bin/mmtoir", line 8, in sys.exit(_main()) File "/usr/local/lib/python3.6/dist-packages/mmdnn/conversion/_script/convertToIR.py", line 192, in _main ret = _convert(args) File "/usr/local/lib/python3.6/dist-packages/mmdnn/conversion/_script/convertToIR.py", line 115, in _convert parser.run(args.dstPath) File "/usr/local/lib/python3.6/dist-packages/mmdnn/conversion/common/DataStructure/parser.py", line 22, in run self.gen_IR() File "/usr/local/lib/python3.6/dist-packages/mmdnn/conversion/mxnet/mxnet_parser.py", line 263, in gen_IR self.rename_UNKNOWN(current_node) File "/usr/local/lib/python3.6/dist-packages/mmdnn/conversion/mxnet/mxnet_parser.py", line 374, in rename_UNKNOWN raise NotImplementedError() NotImplementedError

Could you please assist me overthis?

[XiaoXYe]

Hi @Manideep08 , slice_axis op is not supported by MXNET parser currently. We will add it in future release.