Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
for me it seems that the representative_dataset_gen is not created properly, missing the extra step of generator creation from DataLoader, compare with code block setup for post training quantization.
Issue Type
Bug
Source
pip (model-compression-toolkit)
MCT Version
Running on Google Colab
OS Platform and Distribution
Running on Google Colab
Python version
3.10
Describe the issue
Error trying to run the example in colab, get the error "'DataLoader' object not callable"
Expected behaviour
To be able to run the example code with out issues.
Code to reproduce the issue
Log output