* On AWS kubelet returns an error when started under conditions that do not allow it to work (AWS has not yet tagged the instance). ([#60125](https://github.com/kubernetes/kubernetes/pull/60125), [@vainu-arto](https://github.com/vainu-arto))
* Fix mounting of UNIX sockets(and other special files) in subpaths ([#61480](https://github.com/kubernetes/kubernetes/pull/61480), [@gnufied](https://github.com/gnufied))

*   `tf.keras`:

    *   `Model.fit` major improvements:
        *   You can now use custom training logic with `Model.fit` by overriding
            `Model.train_step`.
        *   Easily write state-of-the-art training loops without worrying about
            all of the features `Model.fit` handles for you (distribution
            strategies, callbacks, data formats, looping logic, etc)
        *   See the default

1F933..1F93E  ; valid                  ;      ; NV8    # 9.0  SELFIE..HANDBALL
1F93F         ; valid                  ;      ; NV8    # 12.0 DIVING MASK
1F940..1F94B  ; valid                  ;      ; NV8    # 9.0  WILTED FLOWER..MARTIAL ARTS UNIFORM
1F94C         ; valid                  ;      ; NV8    # 10.0 CURLING STONE
1F94D..1F94F  ; valid                  ;      ; NV8    # 11.0 LACROSSE STICK AND BALL..FLYING DISC

|--------- | [0 0 d1 d0] * | +--------+ | | * +--->+---- | | * | T1 | T0 |--------+ * +--------+ | | * ---------- | | * | | * +--------+ | * | RED2 | RED1 | | * +--------+ | * ---+------ * T2| T1 | T0 | (H1P-H1P-H00RRAY!) * ---+------ * * *Mi obra de arte de siglo XXI @vpaprots * * * First group is special, doesn't get the two inputs: * +--------+ * +-------| ADD2 | ADD1 |--|-----+ * | +--------+ | | * | +--------+ | * | | ADD2H | ADD1H |--+ | * | +--------+ | | * | +--------+ | * | | ADD4 | ADD3 |--|-+...