I am pruning the model weights using
prune.global_unstructured(
parameters_to_prune,
pruning_method=prune.L1Unstructured,
amount=0.10,
)
for 10 iterations. Your explanation makes sense that it must be considering the pruned weights also. Then how can i make the model not to consider those again in other iterations. One more question how can i calculate the inference time of the model