class_docstr: Apply an operation to a list of tensors efficiently.
  
  Args:
      chunk_size (int): Size of a chunk.
class_docstr_tok: ["Apply","an","operation","to","a","list","of","tensors","efficiently",".","Args",":","chunk_size","(","int",")",":","Size","of","a","chunk","."]
code: def __init__(self, chunk_size):
      try:
          MultiTensorApply.available = True
          self.chunk_size = chunk_size
      except ImportError as err:
          MultiTensorApply.available = False
          MultiTensorApply.import_err = err
  
label_desc: Use image node_id 1 to create a new MultiTensorApply object from inherited base classes: object with example: obj = MultiTensorApply(chunk_size)