import.
*   Breaking change to `tf.contrib.data.Dataset` APIs that expect a nested
    structure. Lists are now converted to `tf.Tensor` implicitly. You may need
    to change uses of lists to tuples in existing code. In addition, dicts are
    now supported as a nested structure.

## Changes to contrib APIs

*   Adds tf.contrib.nn.rank_sampled_softmax_loss, a sampled-softmax variant that

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]]; j != byte(i) { t.Errorf("sbox0[sbox1[%#x]] = %#x",...

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]]; j != byte(i) { t.Errorf("sbox0[sbox1[%#x]] = %#x",...