class_docstr: A naive sampler that take all existing matching results.
  There is no ignored sample in this case.
class_docstr_tok: ["A","naive","sampler","that","take","all","existing","matching","results",".","There","is","no","ignored","sample","in","this","case","."]
docstr: Hybrid forward
docstr_tok: ["Hybrid","forward"]
code: def hybrid_forward(self, F, x):
      """Hybrid forward"""
      marker = F.ones_like(x)
      y = F.where(x >= 0, marker, marker * -1)
      return y
  
imports: from __future__ import absolute_import
  import numpy
  import mxnet
  from mxnet import gluon, nd
label_desc: Use image node_id 2 for calling the NaiveSampler obj's underlying member method code with example usage: obj.hybrid_forward(F, x) and returns: y