code: def test_to() -> None:
      model = SentenceTransformer(
          "sentence-transformers-testing/stsb-bert-tiny-safetensors",
          device="cpu",
      )
  
      test_device = torch.device("cuda")
      assert model.device.type == "cpu"
      assert test_device.type == "cuda"
  
      model.to(test_device)
      assert (
          model.device.type == "cuda"
      ), "The model device should have updated"
  
      model.encode("Test sentence")
      assert (
          model.device.type == "cuda"
      ), "Encoding shouldn't change the device"
  
      assert (
          model._target_device == model.device
      ), "Prevent backwards compatibility failure for _target_device"
      model._target_device = "cpu"
      assert (
          model.device.type == "cpu"
      ), "Ensure that setting `_target_device` doesn't crash."
  
file_path: sentence-transformers/tests/test_sentence_transformer.py
imports: import logging
  from pathlib import Path
  import tempfile
  import pytest
  from huggingface_hub import HfApi, RepoUrl, GitRefs, GitRefInfo
  import torch
  from sentence_transformers import SentenceTransformer
  from sentence_transformers.models import Transformer, Pooling
label_desc: Use image node_id 2 for calling a global function with example usage: test_to() without return types