class_docstr: 2.5d tensor parallel initialization among rows.
  
  Args:
      tesseract_dim (int): The dimension of tesseract.
      tesseract_dep (int): The dimension of depth.
      rank (int): The rank of current process.
      world_size (int): Size of whole communication world.
      config (Config): Running configuration.
      data_parallel_size (int): Size of data parallel.
      pipeline_parallel_size (int): Size of pipeline parallel.
      tensor_parallel_size (int): Size of tensor parallel.
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code: def __init__(self, tesseract_dim: int, tesseract_dep: int, *args):
      super(Initializer_2p5D_ROW, self).__init__(*args)
      self.num_group = self.world_size // self.tensor_parallel_size
      self.tesseract_dep = tesseract_dep
      self.tesseract_dim = tesseract_dim
      assert (
          self.tensor_parallel_size
          == self.tesseract_dim**2 * self.tesseract_dep
      ), "Tensor parallel size should be depth * dim ** 2 in 2.5D parallel"
  
imports: import math
  import torch.distributed
  from colossalai.context import Config
  from colossalai.legacy.global_variables import tensor_parallel_env
  from colossalai.legacy.registry import DIST_GROUP_INITIALIZER
  from ..parallel_mode import ParallelMode
  from .process_group_initializer import ProcessGroupInitializer
label_desc: Use image node_id 1 to create a new Initializer_2p5D_ROW object from inherited base classes: ProcessGroupInitializer with example: obj = Initializer_2p5D_ROW(tesseract_dim, tesseract_dep)