Comments (3)
Hi Manal,
Thanks for your interest in our package.
To answer your first question, 'TRClassifier' is a Python class, and your 'TRClassifier' has no parameters declared.
You may use:
TRCls = TRClassifier()
Output = TRCls(X_train)
The neural network you defined is called "TRCls," which is distinct from "TRClassifier()."
Regarding your second inquiry, our package does not contain the decomposition implementation. Our package only supports the TR formats for neural network design. However, as far as we know, there is not a python package that supports the tensor ring decomposition algorithm (TR-svd) well. You can try the Matlab package at https://qibinzhao.github.io. You might also find the https://github.com/KhrulkovV/tt-pytorch useful.
For your third question, this is the term used in neural networks. Input shape refers to the input data's feature shape, and output shape means the shape of the feature map after processing.
If you have other questions, feel free to contact us.
Best regards,
Morin
from tednet.
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