class_docstr: Dimensionality reduction of node features via Singular Value
  Decomposition (SVD) (functional name: :obj:`svd_feature_reduction`).
  
  Args:
      out_channels (int): The dimensionlity of node features after
          reduction.
code: def __init__(self, out_channels: int):
      self.out_channels = out_channels
  
file_path: pytorch_geometric/torch_geometric/transforms/svd_feature_reduction.py
imports: import torch
  from torch_geometric.data import Data
  from torch_geometric.data.datapipes import functional_transform
  from torch_geometric.transforms import BaseTransform
label_desc: Use image node_id 1 to create a new SVDFeatureReduction object from inherited base classes: BaseTransform with example: obj = SVDFeatureReduction(out_channels)