code: def test_assert_no_header_tensor_serializer():
      serializer = NoHeaderTensorSerializer()
      t = torch.ones((10,))
      data, name = serializer.serialize(t)
      assert name == "no_header_tensor:1"
      assert serializer._dtype is None
      serializer.setup(name)
      assert serializer._dtype == torch.float32
      new_t = serializer.deserialize(data)
      assert torch.equal(t, new_t)
  
file_path: pytorch-lightning/tests/tests_data/streaming/test_serializer.py
imports: import os
  import sys
  from time import time
  import numpy
  import pytest
  import torch
  from lightning import seed_everything
  from lightning.data.streaming.serializers import _AV_AVAILABLE, _NUMPY_DTYPES_MAPPING, _SERIALIZERS, _TORCH_DTYPES_MAPPING, _TORCH_VISION_AVAILABLE, IntSerializer, NoHeaderNumpySerializer, NoHeaderTensorSerializer, NumpySerializer, PickleSerializer, PILSerializer, TensorSerializer, VideoSerializer
  from lightning_utilities.core.imports import RequirementCache
label_desc: Use image node_id 7 for calling a global function with example usage: test_assert_no_header_tensor_serializer() without return types