Install tensorboard as an extra

Issue Type

Feature Request

Have you reproduced the bug with TF nightly?

Yes

Source

source

Tensorflow Version

2.11.0

Custom Code

Yes

OS Platform and Distribution

No response

Mobile device

No response

Python version

No response

Bazel version

No response

GCC/Compiler version

No response

CUDA/cuDNN version

No response

GPU model and memory

No response

Current Behaviour?

The `tensorflow` package currently relies on a great deal of sub-dependencies. Among them the biggest one is definitely the tensorboard, as you can see from this tree obtained through `poetry`. I wonder if the `tensorboard` (and possibly other dependencies) are really needed for a minimal installation of tensorflow. E.g. do I really need the tensorboard for running inference on a model? The more dependencies we have
- The more bloated our virtual environments become
- The slower our CI jobs are
- The bigger are our Docker images that run TensorFlow
- The slower is the dependency resolution of Python packages with tools such as poetry, pipenv, pdm, ..

In comparison, `torch` just depends on `typing-extensions`.

It would be great to have a minimal installation of `tensorflow` by default and rely on pip extras to install any satellite functionalities (such as `pip install tensorflow[tensorboard]`).


tensorflow >=2.3.0
    ├── absl-py >=0.4.0
    ├── astunparse >=1.6.0
    │   ├── six >=1.6.1,<2.0
    │   └── wheel >=0.23.0,<1.0
    ├── flatbuffers >=1.12
    ├── gast >=0.2.1
    ├── google-pasta >=0.1.1
    │   └── six * (circular dependency aborted here)
    ├── grpcio >=1.24.3,<2.0
    ├── h5py >=2.9.0
    │   └── numpy >=1.14.5
    ├── keras >=2.8.0rc0,<2.9
    ├── keras-preprocessing >=1.1.1
    │   ├── numpy >=1.9.1 (circular dependency aborted here)
    │   └── six >=1.9.0 (circular dependency aborted here)
    ├── libclang >=9.0.1
    ├── numpy >=1.20 (circular dependency aborted here)
    ├── opt-einsum >=2.3.2
    │   └── numpy >=1.7 (circular dependency aborted here)
    ├── protobuf >=3.9.2
    ├── setuptools *
    ├── six >=1.12.0 (circular dependency aborted here)
    ├── tensorboard >=2.8,<2.9
    │   ├── absl-py >=0.4 (circular dependency aborted here)
    │   ├── google-auth >=1.6.3,<3
    │   │   ├── cachetools >=2.0.0,<6.0
    │   │   ├── pyasn1-modules >=0.2.1
    │   │   │   └── pyasn1 >=0.4.6,<0.5.0
    │   │   ├── rsa >=3.1.4,<5
    │   │   │   └── pyasn1 >=0.1.3 (circular dependency aborted here)
    │   │   └── six >=1.9.0 (circular dependency aborted here)
    │   ├── google-auth-oauthlib >=0.4.1,<0.5
    │   │   ├── google-auth >=1.0.0 (circular dependency aborted here)
    │   │   └── requests-oauthlib >=0.7.0
    │   │       ├── oauthlib >=3.0.0
    │   │       └── requests >=2.0.0
    │   │           ├── certifi >=2017.4.17
    │   │           ├── charset-normalizer >=2,<4
    │   │           ├── idna >=2.5,<4
    │   │           └── urllib3 >=1.21.1,<1.27
    │   ├── grpcio >=1.24.3 (circular dependency aborted here)
    │   ├── markdown >=2.6.8
    │   │   └── importlib-metadata >=4.4
    │   │       └── zipp >=0.5
    │   ├── numpy >=1.12.0 (circular dependency aborted here)
    │   ├── protobuf >=3.6.0 (circular dependency aborted here)
    │   ├── requests >=2.21.0,<3 (circular dependency aborted here)
    │   ├── setuptools >=41.0.0 (circular dependency aborted here)
    │   ├── tensorboard-data-server >=0.6.0,<0.7.0
    │   ├── tensorboard-plugin-wit >=1.6.0
    │   ├── werkzeug >=0.11.15
    │   └── wheel >=0.26 (circular dependency aborted here)
    ├── tensorflow-estimator >=2.8,<2.9
    ├── tensorflow-io-gcs-filesystem >=0.23.1
    ├── termcolor >=1.1.0
    ├── typing-extensions >=3.6.6
    └── wrapt >=1.11.0

### Standalone code to reproduce the issue

```shell
pip install tensorflow

Relevant log output

No response