evaluate_model and train_model functions not available in the video tutorials

[flaviomb]

Hello, I'm learning about how to use the Qualcomm aimet toolkit.

I'm watching the video tutorials to reproduce the examples (specifcally this one about quantization: https://www.youtube.com/watch?v=0-i64DelNkI&t=1107s ). In these videos, the author uses the evaluate_model and train_model functions but I did not found it for download.

Here is the code to import the functions used in the videos:

from pipelines import evaluate_model, train_model

Could you provide these functions?

Thanks in advance.

[quic-ssiddego]

@flaviomb Thank you for trying out the tutorial. The tutorial demonstrates these as ‘user’ provided functions to be passed to the API provided by the tool. If you already have a training pipeline, you could pass your existing evaluate and train functions.

[pianogGG]

@quic-ssiddego How can I run successfully the script in the video and where I can find the script?

[kanybekasanbekov]

@pianogGG Here are some codes used in video tutorial(https://github.com/quic/aimet/tree/develop/Docs/torch_code_examples). Some functions like evaluate_model() should be implemented by yourself, however, you can at least get function format which will be helpful

[TengFeiHan0]

would you mind to open the pipeline.py shown in this video? we can take it as a reference to develop our own code. @quic-ssiddego @quic-akhobare

[quic-ssiddego]

@pianogGG @kanybekasanbekov @TengFeiHan0 Sorry about the delayed response on this thread. We are adding more detailed examples such as https://github.com/quic/aimet/tree/312905d4efa856f2684935566a9e3dac74f7677d/Examples/torch/compression. There will be similar one added for quantization as well.

[quic-akhobare]

We have added several working example notebooks now. Closing this ticket.