const size_t tensor_size[] = {TF_ARRAYSIZE(tensor1), TF_ARRAYSIZE(tensor2)};
  const int64_t* tensor_dims[] = {&dims1[0], &dims2[0]};
  const size_t tensor_ndims[] = {ndims1, ndims2};
  for (int i = 0; i < 2; ++i) {
    TF_Tensor* v = values[i];
    ASSERT_NE(nullptr, v) << i;
    EXPECT_EQ(TF_INT8, TF_TensorType(v)) << i;
    EXPECT_EQ(tensor_ndims[i], TF_NumDims(v)) << i;
    for (int j = 0; j < TF_NumDims(v); ++j) {

        `tf.io.decode_raw`, `tf.io.encode_base64`, `tf.io.matching_files`,
        `tf.io.parse_tensor`, `tf.io.read_file,`tf.io.write_file`.
    *   New endpoints in tf.linalg namespace: `tf.linalg.cross`,
        `tf.linalg.tensor_diag` (corresponds to `tf.diag`),
        `tf.linalg.tensor_diag_part` (corresponds to `tf.diag_part`).
    *   New endpoints in tf.manip namespace: `tf.manip.batch_to_space_nd`,