code: def load(filename, compressed=True, prealloc=None):
          
          # switch load based on file ext
          _, file_ext = os.path.splitext(filename)
          if compressed:
              if file_ext != COMPRESSED_TENSOR_EXT:
                  raise ValueError('Can only load compressed tensor with %s extension' %(COMPRESSED_TENSOR_EXT))
              data = np.load(filename)['arr_0']
          else:
              if file_ext != TENSOR_EXT:
                  raise ValueError('Can only load tensor with .npy extension')
              data = np.load(filename)
              
          # fill prealloc tensor
          if prealloc is not None:
              prealloc.reset()
              prealloc.add_batch(data)
              return prealloc
              
          # init new tensor
          tensor = Tensor(data.shape, data.dtype, data=data)
          return tensor
docs: Loads a tensor from disk.