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Hi, thanks for your nice repo!
When I used your method for my experiment, I found my experiment results can't reach the original performance whether the first iteration or the 35th iteration.
In <main.py>
#Freezing Pruned weights by making their gradients Zero
grad_tensor = np.where(tensor < EPS, 0, grad_tensor)
Does this issue?
The text was updated successfully, but these errors were encountered:
Hi, thanks for your nice repo!
When I used your method for my experiment, I found my experiment results can't reach the original performance whether the first iteration or the 35th iteration.
In <main.py>
#Freezing Pruned weights by making their gradients Zero
grad_tensor = np.where(tensor < EPS, 0, grad_tensor)
Does this issue?
The text was updated successfully, but these errors were encountered: