code: def _view_as_dense(
      tensor: torch.Tensor, Nnz: int, num_heads: int, head_dim: int
  ) -> torch.Tensor:
      if tensor.is_nested:
          return buffer_from_jagged(tensor)
      return tensor.view(Nnz, num_heads, head_dim)
  
imports: import logging
  import math
  from typing import Optional, Tuple
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.backends.cuda import can_use_efficient_attention, can_use_flash_attention, flash_sdp_enabled, math_sdp_enabled, mem_efficient_sdp_enabled, SDPAParams, SDPBackend
  from .nested_tensor import buffer_from_jagged, NestedTensor, ViewNestedFromBuffer
label_desc: Use image node_id 13 for calling a global function with example usage: _view_as_dense(tensor, Nnz, num_heads, head_dim) and returns: tensor, buffer_from_jagged