class_docstr: Reduce dimensions using PCA.
  
  This nn.Modue subclass reduces the dimensions of the inputs
  specified by `n_components`.
  
  The input is a 2-dimensional `Tensor` of size `batch` x `features`,
  the output is a `Tensor` of size `batch` x `n_components`.
code: def extra_repr(self) -> str:
      return f"n_components={self.n_components}"
  
file_path: TorchDrift/torchdrift/reducers/pca.py
imports: import torch
  from .None import Reducer
  import torchdrift.utils
label_desc: Use image node_id 2 for calling the PCAReducer obj's underlying member method code with example usage: obj.extra_repr() and returns: str, self