code: def edge_softmax(gidx, logits, eids=ALL, norm_by="dst"):
      softmax_op = EdgeSoftmax(gidx, eids, norm_by)
      return softmax_op(logits)
  
imports: import mxnet
  import numpy
  from mxnet import nd
  from ..._sparse_ops import _bwd_segment_cmp, _csrmask, _csrmm, _csrsum, _gsddmm, _gspmm, _scatter_add, _segment_reduce
  from ...base import ALL, dgl_warning, is_all
  from ...heterograph_index import create_unitgraph_from_csr
  from .tensor import asnumpy, context, copy_to, to_backend_ctx, zerocopy_from_numpy
label_desc: Use image node_id 10 for calling a global function with example usage: edge_softmax(gidx, logits, eids, norm_by) and returns: softmax_op