class_docstr: This is the quantized equivalent of :class:`~torch.nn.Dropout`.
      And this is a placeholder to enable models where fp32 tensors
      had dropout to work with quantized tensors in train and eval mode.
  
  Args:
      p: probability of an element to be zeroed
      inplace: can optionally do the operation in-place. Default: ``False``
code: def from_float(cls, mod):
      return cls(mod.p, mod.inplace)
  
imports: import torch
label_desc: Use image node_id 3 for calling the Dropout obj's underlying member method code with example usage: obj.from_float(cls, mod) and returns: cls