code: def project(cls, X, alpha, n_iter):
      return entmax_bisect(
          X, alpha=alpha, n_iter=n_iter, ensure_sum_one=True
      )
  
imports: import torch
  import torch.nn
  from torch.autograd import Function
  from ludwig.constants import IGNORE_INDEX_TOKEN_ID
  from ludwig.utils.entmax.activations import entmax15, sparsemax
  from ludwig.utils.entmax.root_finding import entmax_bisect, sparsemax_bisect
label_desc: Use image node_id 1 for calling the EntmaxBisectLossFunction obj's underlying member method code with example usage: obj.project(cls, X, alpha, n_iter) and returns: entmax_bisect