*   `tf.lite`:

    *   `tf.quantization.quantize_and_dequantize_v2` has been introduced, which
        updates the gradient definition for quantization which is outside the
        range to be 0. To simulate the V1 the behavior of
        `tf.quantization.quantize_and_dequantize(...)` use
        `tf.grad_pass_through(tf.quantization.quantize_and_dequantize_v2)(...)`.

*   Building TensorFlow:

#define P8_LXVB16X(RA,RB,VT) LXVB16X (RA+RB), VT #define P8_STXVB16X(VS,RA,RB) STXVB16X VS, (RA+RB) #define XXBRD_ON_LE(VA,VT) XXBRD VA, VT #define SETUP_ESPERM(rtmp) # else // On POWER8/ppc64le, emulate the POWER9 instructions by loading unaligned // doublewords and byte-swapping each doubleword to emulate BE load/stores. #define NEEDS_ESPERM #define P8_LXVB16X(RA,RB,VT) \ LXVD2X (RA+RB), VT \ VPERM VT, VT, ESPERM, VT #define P8_STXVB16X(VS,RA,RB) \ VPERM VS, VS, ESPERM, TMP2 \ STXVD2X TMP2, (RA+RB)...