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License: MIT License
Are gradient information useful for pruning of LLMs?
License: MIT License
thanks for ur project.
when i run GBLM-Pruner/gradient_computation.py, I meet a error whose details are below.
Traceback (most recent call last):
File "GBLM-Pruner/gradient_computation.py", line 206, in
grad_up.update_gradient(model, nsample)
File "GBLM-Pruner/gradient_computation.py", line 157, in update_gradient
assert int(all_zero) == 0, f"all the elements in the tensor are zero.: {all_zero}"
AssertionError: all the elements in the tensor are zero.: True
seems that some tensors are zero. I have no idea about this error. would u please tell me how to solve this?
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