code: def test_clips_all_negative_tensor_correctly():
      # Regression test for bug found with the pytorch backend
      negative_valued_tensor = tl.zeros((10, 10)) - 0.1
      clipped_tensor = tl.clip(negative_valued_tensor, 0)
      assert tl.all(clipped_tensor == 0)
  
imports: from concurrent.futures import ThreadPoolExecutor
  import pytest
  from time import time
  import numpy
  from scipy.linalg import svd
  from scipy import special
  import tensorly
  from ..None import backend
  from ..testing import assert_allclose, assert_array_equal, assert_equal, assert_, assert_array_almost_equal, assert_raises
  from tensorly.tenalg.svd import SVD_FUNS, svd_interface
label_desc: Use image node_id 12 for calling a global function with example usage: test_clips_all_negative_tensor_correctly() without return types