backwards. See PR
            [47925](https://github.com/tensorflow/tensorflow/pull/47925).
        *   `tf.image.crop_and_resize` gradient w.r.t. either `image` or
            `boxes`. See PR
            [48905](https://github.com/tensorflow/tensorflow/pull/48905).
        *   `tf.sparse.sparse_dense_matmul` forwards. See PR
            [50355](https://github.com/tensorflow/tensorflow/pull/50355).

s := uint8(0) for k := uint(0); k < 8; k++ { for l := uint(0); l < 8; l++ { if i&(1<<k) != 0 && j&(1<<l) != 0 { s ^= powx[k+l] } } } if x := mul(i, j); x != uint32(s) { t.Fatalf("mul(%#x, %#x) = %#x, want %#x", i, j, x, s) } } } } // Check that S-boxes are inverses of each other. // They have more structure that we could test, // but if this sanity check passes, we'll assume // the cut and paste from the FIPS PDF worked. func TestSboxes(t *testing.T) { for i := 0; i < 256; i++ { if j := sbox0[sbox1[i]];...