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PyTorch equivalence for tf.nn.l2_normalize
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| import torch | |
| import tensorflow as tf | |
| ########## PyTorch Version 1 ################ | |
| x = torch.randn(5, 6) | |
| norm_th = x/torch.norm(x, p=2, dim=1, keepdim=True) | |
| norm_th[torch.isnan(norm_th)] = 0 # to avoid nan | |
| ########## PyTorch Version 2 ################ | |
| norm_th = torch.nn.functional.normalize(x, p=2, dim=1) | |
| ########### Equivalent to ############ | |
| norm_tf = tf.nn.l2_normalize(x.numpy(), axis=1) | |
| print(norm_th) | |
| print(norm_tf) |
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nicee
updated one: https://www.tensorflow.org/api_docs/python/tf/math/l2_normalize