class_docstr: articulate the difference between torch gamma and numpy gamma
class_docstr_tok: ["articulate","the","difference","between","torch","gamma","and","numpy","gamma"]
code: def sample(self, shape, device):
      return torch.distributions.gamma.Gamma(
          torch.as_tensor(self.concentration, device=device),
          torch.as_tensor(self.rate, device=device),
      ).sample(shape)
  
imports: import collections
  import functools
  import io
  import os
  import warnings
  import dgl
  import numpy
  import scipy
  import torch
label_desc: Use image node_id 3 for calling the Gamma obj's underlying member method code with example usage: obj.sample(shape, device) and returns: torch