code: def reset_params(self):
      with torch.no_grad():
          torch.arange(
              1, self.frequencies.numel() + 1, out=self.frequencies
          ).mul_(np.pi)
      self.frequencies.requires_grad_()
  
file_path: dgl/examples/pytorch/dimenet/modules/bessel_basis_layer.py
imports: import numpy
  import torch
  import torch.nn
  from modules.envelope import Envelope
label_desc: Use image node_id 2 for calling the BesselBasisLayer obj's underlying member method code with example usage: obj.reset_params() without return types