T1, ADD4, CAR1, CAR2 // VACCCQ VADDEUQM T1, ADD4, CAR1, T1 // VACQ VADDUQM T2, CAR2, T2 // VAQ LXVD2X (R18)(CPOOL), SEL2 LXVD2X (R19)(CPOOL), SEL3 LXVD2X (R20)(CPOOL), SEL4 VPERM RED3, T0, SEL2, RED1 // [d0 0 d1 d0] VPERM RED3, T0, SEL3, RED2 // [ 0 d1 d0 d1] VPERM RED3, T0, SEL4, RED3 // [ 0 0 d1 d0] VSUBUQM RED2, RED3, RED2 // Guaranteed not to underflow // VSQ VSLDOI $12, T1, T0, T0 // VSLDB VSLDOI $12, T2, T1, T1 // VSLDB VADDCUQ T0, ADD3H, CAR1 // VACCQ VADDUQM T0, ADD3H, T0 // VAQ VADDECUQ...

    change, but please check the
    [API doc](https://www.tensorflow.org/api_docs/python/tf/keras/optimizers/experimental)
    if any API used in your workflow is changed or deprecated, and make
    adaptations. If you decide to keep using the old optimizer, please
    explicitly change your optimizer to `tf.keras.optimizers.legacy.Optimizer`.
*   RNG behavior change for `tf.keras.initializers`. Keras initializers will now