code: def get_translation_matrix(translation_vector):
      """Convert a translation vector into a 4x4 transformation matrix"""
      t = translation_vector.reshape((-1, 3, 1))
  
      elem1 = (
          mx.nd.ones(translation_vector.shape[0])
          .as_in_context(context=translation_vector.context)
          .reshape((translation_vector.shape[0], 1))
      )
      elem2 = (
          mx.nd.zeros(translation_vector.shape[0])
          .as_in_context(context=translation_vector.context)
          .reshape((translation_vector.shape[0], 1))
      )
      elem3 = (
          mx.nd.zeros(translation_vector.shape[0])
          .as_in_context(context=translation_vector.context)
          .reshape((translation_vector.shape[0], 1))
      )
      elem4 = t[:, 0, :]
  
      elem5 = (
          mx.nd.zeros(translation_vector.shape[0])
          .as_in_context(context=translation_vector.context)
          .reshape((translation_vector.shape[0], 1))
      )
      elem6 = (
          mx.nd.ones(translation_vector.shape[0])
          .as_in_context(context=translation_vector.context)
          .reshape((translation_vector.shape[0], 1))
      )
      elem7 = (
          mx.nd.zeros(translation_vector.shape[0])
          .as_in_context(context=translation_vector.context)
          .reshape((translation_vector.shape[0], 1))
      )
      elem8 = t[:, 1, :]
  
      elem9 = (
          mx.nd.zeros(translation_vector.shape[0])
          .as_in_context(context=translation_vector.context)
          .reshape((translation_vector.shape[0], 1))
      )
      elem10 = (
          mx.nd.zeros(translation_vector.shape[0])
          .as_in_context(context=translation_vector.context)
          .reshape((translation_vector.shape[0], 1))
      )
      elem11 = (
          mx.nd.ones(translation_vector.shape[0])
          .as_in_context(context=translation_vector.context)
          .reshape((translation_vector.shape[0], 1))
      )
      elem12 = t[:, 2, :]
  
      elem13 = (
          mx.nd.zeros(translation_vector.shape[0])
          .as_in_context(context=translation_vector.context)
          .reshape((translation_vector.shape[0], 1))
      )
      elem14 = (
          mx.nd.zeros(translation_vector.shape[0])
          .as_in_context(context=translation_vector.context)
          .reshape((translation_vector.shape[0], 1))
      )
      elem15 = (
          mx.nd.zeros(translation_vector.shape[0])
          .as_in_context(context=translation_vector.context)
          .reshape((translation_vector.shape[0], 1))
      )
      elem16 = (
          mx.nd.ones(translation_vector.shape[0])
          .as_in_context(context=translation_vector.context)
          .reshape((translation_vector.shape[0], 1))
      )
  
      elem = [
          elem1,
          elem2,
          elem3,
          elem4,
          elem5,
          elem6,
          elem7,
          elem8,
          elem9,
          elem10,
          elem11,
          elem12,
          elem13,
          elem14,
          elem15,
          elem16,
      ]
      T = mx.nd.concat(*elem, dim=1).reshape(
          (translation_vector.shape[0], 4, 4)
      )
  
      return T
  
imports: from __future__ import absolute_import, division, print_function
  import numpy
  import mxnet
  from mxnet.gluon import nn
label_desc: Use image node_id 3 for calling a global function with example usage: get_translation_matrix(translation_vector) and returns: T