- Model produces wrong results and/or has lesser accuracy.
- Model produces correct results, but it is slower than expected.

### 4. (optional) RNN conversion support
If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.

### 5. (optional) Any other info / logs

* fix cephfs fuse mount bug when user is not admin ([#61804](https://github.com/kubernetes/kubernetes/pull/61804), [@zhangxiaoyu-zidif](https://github.com/zhangxiaoyu-zidif))

        metrics, preprocessing layers, and stateful RNN layers)
    *   Update Keras batch normalization layer to use the running mean and
        average computation in the `fused_batch_norm`. You should see
        significant performance improvements when using `fused_batch_norm` in
        Eager mode.

*   `tf.lite`:

    *   Enable TFLite experimental new converter by default.

*   XLA

## Dependencies

### Added
- bazil.org/fuse: 371fbbd
- github.com/OneOfOne/xxhash: [v1.2.2](https://github.com/OneOfOne/xxhash/tree/v1.2.2)
- github.com/antlr/antlr4/runtime/Go/antlr: [b48c857](https://github.com/antlr/antlr4/runtime/Go/antlr/tree/b48c857)

build:release_linux_base --copt=-Wno-error=array-parameter
build:release_linux_base --copt=-Wno-error=unused-command-line-argument
# Set lld as the linker.
build:release_linux_base --linkopt="-fuse-ld=lld"
build:release_linux_base --linkopt="-lm"

# We have some invalid linker scripts in the build,
# so we need to disable this check
build:release_linux_base --linkopt=-Wl,--undefined-version

* K8s supports cephfs fuse mount. ([#55866](https://github.com/kubernetes/kubernetes/pull/55866), [@zhangxiaoyu-zidif](https://github.com/zhangxiaoyu-zidif))

build --python_path="/usr/local/bin/python3"

# Build TensorFlow v2
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

# Use lld as the linker
build --linkopt="-fuse-ld=lld"
build --linkopt="-lm"
build --linkopt="-Wl,--undefined-version"

# Prevent double-compilation of some TF code, ref. b/183279666 (internal)
# > TF's gen_api_init_files has a genrule to run the core TensorFlow code

* [Federation] Make the hpa scale time window configurable ([#49583](https://github.com/kubernetes/kubernetes/pull/49583), [@irfanurrehman](https://github.com/irfanurrehman))
* fuse daemons for GlusterFS and CephFS are now run in their own systemd scope when Kubernetes runs on a system with systemd. ([#49640](https://github.com/kubernetes/kubernetes/pull/49640), [@jsafrane](https://github.com/jsafrane))

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23CF..23D0    ; valid                  ;      ; NV8    # 4.0  EJECT SYMBOL..VERTICAL LINE EXTENSION
23D1..23DB    ; valid                  ;      ; NV8    # 4.1  METRICAL BREVE..FUSE
23DC..23E7    ; valid                  ;      ; NV8    # 5.0  TOP PARENTHESIS..ELECTRICAL INTERSECTION
23E8          ; valid                  ;      ; NV8    # 5.2  DECIMAL EXPONENT SYMBOL