code: def lod_tensor_clip(lod_tensor, size):
      output = paddle.framework.core.LoDTensor()
      ndarray = np.array(lod_tensor)
      seq_len = lod_tensor.recursive_sequence_lengths()
      if not seq_len:
          output.set(ndarray[0:size], paddle.CPUPlace())
      else:
          last_len = size
          out_seq_len = []
          for lengths in seq_len:
              lengths = lengths[0:last_len]
              out_seq_len.append(lengths)
              last_len = sum(lengths)
          output.set(
              ndarray[0 : sum(out_seq_len[-1])], paddle.CPUPlace()
          )
          output.set_recursive_sequence_lengths(out_seq_len)
      return output
  
file_path: DALI/dali/python/nvidia/dali/plugin/paddle.py
imports: import ctypes
  import math
  import numpy
  import paddle
  from distutils.version import LooseVersion
  from nvidia.dali import types
  from nvidia.dali.backend import TensorListCPU, TensorGPU, TensorListGPU
  from nvidia.dali.plugin.base_iterator import _DaliBaseIterator
  from nvidia.dali.plugin.base_iterator import LastBatchPolicy
label_desc: Use image node_id 4 for calling a global function with example usage: lod_tensor_clip(lod_tensor, size) and returns: output