code: def _scatter_torch(indices, tensor, new_dimensions):
      import torch
  
      new_tensor = torch.zeros(
          new_dimensions, dtype=tensor.dtype, device=tensor.device
      )
      new_tensor[indices] = tensor
      return new_tensor
  
imports: from importlib import import_module
  import autoray
  import numpy
  import semantic_version
  from scipy.linalg import block_diag
  from .utils import get_deep_interface
label_desc: Use image node_id 31 for calling a global function with example usage: _scatter_torch(indices, tensor, new_dimensions) and returns: new_tensor