docstr: Same as above. The default for input_dims is 3 for 3D applications
  which use harmonic embedding for positional encoding,
  so the input might be xyz.
docstr_tok: ["Same","as","above",".","The","default","for","input_dims","is","3","for","3D","applications","which","use","harmonic","embedding","for","positional","encoding",",","so","the","input","might","be","xyz","."]
code: def get_output_dim(self, input_dims: int = 3) -> int:
      """
      Same as above. The default for input_dims is 3 for 3D applications
      which use harmonic embedding for positional encoding,
      so the input might be xyz.
      """
      return self.get_output_dim_static(
          input_dims, len(self._frequencies), self.append_input
      )
  
imports: from typing import Optional
  import torch
label_desc: Use image node_id 4 for calling the HarmonicEmbedding obj's underlying member method code with example usage: obj.get_output_dim(input_dims) and returns: self