code: def load(self, data, offset):
      nd = struct.unpack("<I", bytes(data[offset : offset + 4]))[0]
      offset += 4
      namelen = struct.unpack("<I", bytes(data[offset : offset + 4]))[0]
      offset += 4
      dtype = struct.unpack("<I", bytes(data[offset : offset + 4]))[0]
      offset += 4
  
      assert nd == len(self.ne)
      ne = []
      for d in range(nd):
          n = struct.unpack("<I", bytes(data[offset : offset + 4]))[0]
          offset += 4
          ne.append(n)
  
      assert tuple(ne) == tuple(self.ne)
  
      if self.dtype == "f":
          assert dtype == 0
      else:
          raise ValueError(f"Unhandled data type '{self.dtype}'")
  
      self.name = bytes(data[offset : offset + namelen])
      offset += namelen
      # 32-byte alignment
      offset += (0 - offset) & 31
      self.data = data[offset : offset + self.nbytes]
      offset += self.nbytes
      return offset
  
imports: import argparse
  import os
  import struct
  import sys
  import numpy
  from pathlib import Path
  import gguf
label_desc: Use image node_id 2 for calling the Tensor obj's underlying member method code with example usage: obj.load(data, offset) and returns: offset