code: def vector_normalize(mat, max_vec_norm=1.):
      
      assert mat.flags.c_contiguous
      n, m = mat.shape
  
      vector_normalize_kernel.prepared_call(
          (m, 1, 1), (32, 1, 1),
          mat.gpudata,
          np.float32(max_vec_norm),
          np.int32(m),
          np.int32(n))
docs: Normalize each column vector in mat to length
      max_vec_norm if it is longer than max_vec_norm