code: def create_grid(
      grid_sizes: List[int],
      grid_bounds: List[Tuple[float, float]],
      extend: bool = True,
      device="cpu",
      dtype=torch.float,
  ) -> List[torch.Tensor]:
      """
      Creates a grid represented by a list of 1D Tensors representing the
      projections of the grid into each dimension
  
      If `extend`, we extend the grid by two points past the specified boundary
      which can be important for getting good grid interpolations.
  
      :param grid_sizes: Sizes of each grid dimension
      :type grid_sizes: List[int]
      :param grid_bounds: Lower and upper bounds of each grid dimension
      :type grid_sizes: List[Tuple[float, float]]
      :param device: target device for output (default: cpu)
      :type device: torch.device, optional
      :param dtype: target dtype for output (default: torch.float)
      :type dtype: torch.dtype, optional
      :return: Grid points for each dimension. Grid points are stored in a :obj:`torch.Tensor` with shape `grid_sizes[i]`.
      :rtype: List[torch.Tensor]
      """
      grid = []
      for i in range(len(grid_bounds)):
          grid_diff = float(grid_bounds[i][1] - grid_bounds[i][0]) / (
              grid_sizes[i] - 2
          )
          if extend:
              proj = torch.linspace(
                  grid_bounds[i][0] - grid_diff,
                  grid_bounds[i][1] + grid_diff,
                  grid_sizes[i],
                  device=device,
                  dtype=dtype,
              )
          else:
              proj = torch.linspace(
                  grid_bounds[i][0],
                  grid_bounds[i][1],
                  grid_sizes[i],
                  device=device,
                  dtype=dtype,
              )
          grid.append(proj)
      return grid
  
file_path: gpytorch/gpytorch/utils/grid.py
imports: import math
  import warnings
  from typing import List, Tuple
  import torch
label_desc: Use image node_id 5 for calling a global function with example usage: create_grid(grid_sizes, grid_bounds, extend, device, dtype) and returns: grid