code: def get_translation_matrix2d(translations: Tensor) -> Tensor:
      r"""Compose translation matrix from the components.
  
      Args:
          translations: tensor containing the translation vector with shape :math:`(B, 2)`.
  
      Returns:
          the affine transformation matrix :math:`(B, 3, 3)`.
  
      .. note::
          This function is often used in conjunction with :func:`warp_affine`, :func:`warp_perspective`.
      """
      transform: Tensor = eye_like(3, translations)[:, :2, :]
      transform[..., 2] += translations  # tx/ty
  
      # pad transform to get Bx3x3
      transform_h = convert_affinematrix_to_homography(transform)
  
      return transform_h
  
imports: from __future__ import annotations
  from typing import Optional
  import torch
  import torch.nn.functional
  from kornia.core import Tensor, concatenate, ones, ones_like, stack, tan, tensor, zeros
  from kornia.core.check import KORNIA_CHECK, KORNIA_CHECK_SHAPE
  from kornia.geometry.conversions import angle_to_rotation_matrix, axis_angle_to_rotation_matrix, convert_affinematrix_to_homography, convert_affinematrix_to_homography3d, deg2rad, normalize_homography, normalize_homography3d, normalize_pixel_coordinates
  from kornia.geometry.linalg import transform_points
  from kornia.utils import create_meshgrid, create_meshgrid3d, eye_like
  from kornia.utils.helpers import _torch_inverse_cast, _torch_solve_cast
label_desc: Use image node_id 11 for calling a global function with example usage: get_translation_matrix2d(translations) and returns: transform_h