code: def eyes(
      dim: int,
      N: int,
      device: Optional[torch.device] = None,
      dtype: torch.dtype = torch.float32,
  ) -> torch.Tensor:
      """
      Generates a batch of `N` identity matrices of shape `(N, dim, dim)`.
  
      Args:
          **dim**: The dimensionality of the identity matrices.
          **N**: The number of identity matrices.
          **device**: The device to be used for allocating the matrices.
          **dtype**: The datatype of the matrices.
  
      Returns:
          **identities**: A batch of identity matrices of shape `(N, dim, dim)`.
      """
      identities = torch.eye(dim, device=device, dtype=dtype)
      return identities[None].repeat(N, 1, 1)
  
file_path: pytorch3d/pytorch3d/ops/utils.py
imports: from typing import Optional, Tuple, TYPE_CHECKING, Union
  import torch
  from .knn import knn_points
label_desc: Use image node_id 3 for calling a global function with example usage: eyes(dim, N, device, dtype) and returns: identities