Forums - Mobilenet_v2 onnx to dlc

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Mobilenet_v2 onnx to dlc
bychen
Join Date: 30 Jun 20
Posts: 1
Posted: Fri, 2020-07-10 00:21
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Hi,

Here is my environment setting : ubuntu 16.04, SNPE 1.39, onnx 1.7.0.

I tried to convert mobilenet_v2 onnx model to .dlc file and get the following warning:

WARNING_OP_NOT_SUPPORTED_BY_ONNX: Unable to register converter supported Operation [ScaledTanh:Version 1] with your Onnx installation. Got: No schema registered for 'ScaledTanh'!. Converter will bail if Model contains this Op.
WARNING_OP_NOT_SUPPORTED_BY_ONNX: Unable to register converter supported Operation [ScaledTanh:Version 6] with your Onnx installation. Got: No schema registered for 'ScaledTanh'!. Converter will bail if Model contains this Op.
2020-07-10 15:01:00,210 - 171 - INFO - INFO_DLC_SAVE_LOCATION: Saving model at dlc/mobilenet_v2.dlc
2020-07-10 15:01:00,439 - 171 - INFO - INFO_CONVERSION_SUCCESS: Conversion completed successfully
 
I ignored the warnings and then  I prepared 4 Imagenet  samples and converted them to .raw by the sample code(create_alexnet_raw.py).  
Execute snpe-net-run with input_network(mobilenetv2.dlc) and the 4 samples.
However, I got the following results:
 
Classification results
cropped/ipod.raw     194.806503 470 candle, taper, wax light
cropped/banaba.raw   194.354355 470 candle, taper, wax light
cropped/monitor.raw  188.973740 470 candle, taper, wax light
cropped/aircraft.raw 183.850708 470 candle, taper, wax light
 
All samples are calssified as the same category.
Is warning of 'ScaledTanh' during conversion the main cause of the problem?
How can I solve this??
 (The model output is not Softmax, thus it's not probaility between)
 
Thanks in advance!!!
 
 
 
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Re: Mobilenet_v2 onnx to dlc
gesqdn-forum
Join Date: 4 Nov 18
Posts: 184
Posted: Tue, 2020-07-14 03:04
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Hi Bychen,

It is seen that support for ScaledTanhis not available with the 1.4 release of onnx. Find the same from the below link,
https://github.com/onnx/onnx/pull/1866

But, the official documentation from NPE says that ScaledTanh is tested on SNPE with onnx version 1.3
Please refer below link for details on supported ONNX operations:
https://developer.qualcomm.com/docs/snpe/supported_onnx_ops.html#onnx_operator_support

We suggest you downgrade your onnx version and try to convert and execute the model again.

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