An Numpy and PyTorch Implementation of CKA-similarity with CUDA support
An PyTorch Implementation of CKA-similarity with CUDA support. Inspired by: https://github.com/yuanli2333/CKA-Centered-Kernel-Alignment
The Centered Kernel Alignment (CKA) method is from paper:
Similarity of Neural Network Representations Revisited. [https://arxiv.org/abs/1905.00414]
Numpy: 3min 8s
PyTorch: 15.3s
For large matrices, use PyTorch with CUDA to accelerate.
python3
numpy
gzip
torch
Tested environment: PyTorch v1.7.0, Python 3.6.9
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