Validation Error: Unable to generate the "libai_network" library

[Jinchen]

 

Hello,

I am currently working on validating a machine learning model that I have deployed on an STM32 microcontroller. While the model successfully runs on the STM32, the results it produces differ significantly from those obtained when running the model on a computer.

Additionally, when I attempt to perform validation on a desktop environment, I encounter the following error: 

E103(CliRuntimeError): Unable to generate the "libai_network" library.

Since the website could not accept the .tflite file, I have attached the picture of the structure of the model. The model was trained using TensorFlow 2.17 and utilizes approximately 75KB of flash memory and 15KB of RAM.

I would greatly appreciate any guidance or assistance in resolving these issues.

Thank you!

[fauvarque.daniel]

You can attach a zip with the model in it, that will help us understand the root cause.

[hamitiya]

Hello,

In order to provide us your .tflite model, could you please change its extension with an extension allowed such as .7z ? Or compress it in a .7z file ?

 

Best regards,

Yanis

 

[Jinchen]

Thanks so much for the reply.

Please find the model in the attachment

 

[hamitiya]

While we perform validation, we can see this error instead of the one you reported earlier:

 

 

TOOL ERROR: tensorflow/lite/kernels/transpose_conv.cc:299 weights->type != input->type (INT8 != FLOAT32)Node number 17 (TRANSPOSE_CONV) failed to prepare.Failed to apply the default TensorFlow Lite delegate indexed at 0.

 

 Based on the model you shared, we can confirm it has float32 inputs and outputs, but we also expect same type for weights, which is not the case.

Layer 17 "TransposeConv" has quantized int8 weights (name: tfl.pseudo_qconst1) 

 

I would suggest to modify it in order to have float32 weights for this layer. Also, verify if you don't have another layer(s) with int8 weights.

 

Best regards,

Yanis