Parameters:
         * module (nn.Module) -- module containing the tensor to
           prune
     * **name** (*str*) -- parameter name within "module" on which
       pruning will act.

     * **amount** (*int** or **float*) -- quantity of parameters
       to prune. If "float", should be between 0.0 and 1.0 and
       represent the fraction of parameters to prune. If "int", it
       represents the absolute number of parameters to prune.

     * **n** (*int**, **float**, **inf**, **-inf**, **'fro'**,
       **'nuc'*) -- See documentation of valid entries for
       argument "p" in "torch.norm()".

     * **dim** (*int*) -- index of the dim along which we define
       channels to prune.

     * **importance_scores** (*torch.Tensor*) -- tensor of
       importance scores (of same shape as module parameter) used
       to compute mask for pruning. The values in this tensor
       indicate the importance of the corresponding elements in
