code: def _make_2_block_diagonal(F, left: Tensor, right: Tensor) -> Tensor:
      """
      Creates a block diagonal matrix of shape (batch_size, m+n, m+n) where m and
      n are the sizes of the axis 1 of left and right respectively.
  
      Parameters
      ----------
      F
      left
          Tensor of shape (batch_size, seq_length, m, m)
      right
          Tensor of shape (batch_size, seq_length, n, n)
      Returns
      -------
      Tensor
          Block diagonal matrix of shape (batch_size, seq_length, m+n, m+n)
      """
      # shape (batch_size, seq_length, m, n)
      zeros_off_diag = F.broadcast_add(
          left.slice_axis(
              axis=-1, begin=0, end=1
          ).zeros_like(),  # shape (batch_size, seq_length, m, 1)
          right.slice_axis(
              axis=-2, begin=0, end=1
          ).zeros_like(),  # shape (batch_size, seq_length, 1, n)
      )
  
      # shape (batch_size, n, m)
      zeros_off_diag_tr = zeros_off_diag.swapaxes(2, 3)
  
      # block diagonal: shape (batch_size, seq_length, m+n, m+n)
      _block_diagonal = F.concat(
          F.concat(left, zeros_off_diag, dim=3),
          F.concat(zeros_off_diag_tr, right, dim=3),
          dim=2,
      )
  
      return _block_diagonal
  
imports: from typing import List, Sequence, Tuple
  from pandas.tseries.frequencies import to_offset
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from gluonts.mx.distribution.distribution import getF
  from gluonts.mx.util import _broadcast_param
  from gluonts.time_feature import Constant, day_of_week_index, hour_of_day_index, minute_of_hour_index, month_of_year_index, TimeFeature, week_of_year_index, norm_freq_str
label_desc: Use image node_id 2 for calling a global function with example usage: _make_2_block_diagonal(F, left, right) and returns: _block_diagonal