code: def load(
      self,
      mode: Optional[str] = None,
      vocab_parallel: bool = False,
      parallel_input_1d: bool = False,
      summa_dim: int = None,
      tesseract_dim: int = None,
      tesseract_dep: int = None,
      depth_3d: int = None,
      input_group_3d=None,
      weight_group_3d=None,
      output_group_3d=None,
      input_x_weight_group_3d=None,
      output_x_weight_group_3d=None,
  ):
      self.mode = mode
      self.vocab_parallel = vocab_parallel
      self.parallel_input_1d = parallel_input_1d
      self.summa_dim = summa_dim
      self.tesseract_dim = tesseract_dim
      self.tesseract_dep = tesseract_dep
      self.depth_3d = depth_3d
      self.input_group_3d = input_group_3d
      self.weight_group_3d = weight_group_3d
      self.output_group_3d = output_group_3d
      self.input_x_weight_group_3d = input_x_weight_group_3d
      self.output_x_weight_group_3d = output_x_weight_group_3d
  
imports: from typing import Optional
label_desc: Use image node_id 3 for calling the TensorParallelEnv obj's underlying member method code with example usage: obj.load(mode, vocab_parallel, parallel_input_1d, summa_dim, tesseract_dim, tesseract_dep, depth_3d, input_group_3d, weight_group_3d, output_group_3d, input_x_weight_group_3d, output_x_weight_group_3d) without return types