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deep learning from scratch. uses numpy/cupy, trains in GPU, follows pytorch API

License: MIT License

Python 100.00%
autograd cupy deep-learning gpu machine-learning machine-learning-from-scratch neural-network numpy numpy-neural-network neural-networks-from-scratch

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pytortto's Issues

Creating CRNN Models?

Hello,

I was wondering if it's possible to create a CRNN model for text recognition using PyTortto? I tried to use CTCLoss from pytorch but created issues.

If not, is it possible for me to copy pytorch CTC loss function and LSTM model and implement manually into PyTortto? Or is there a lot of adjustments that required?

Attribute error with cupy 'set_printoptions'

Good day, I wanted to run your code in Colab, but I get an error when importing.
Tried:
import tortto as tt
Received error:

AttributeError: module 'cupy' has no attribute 'set_printoptions'

The error is coming from line 24 of __init__.py of tortto:
cp.set_printoptions(precision=4)

Regards.

Numpy Version 1.24 Requirement

Hello,

Thanks for creating a great project. Can you explain why the Numpy minimum version is 1.24? I removed the check and seemed to work correctly with no errors?

Can you also provide an example of loading one of the Resnet models under examples and how you would do inference on images?

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