*   Promote `tf.data.experimental.sample_from_datasets` API to
        `tf.data.Dataset.sample_from_datasets` and deprecate the experimental
        endpoint.
    *   Added `TF_GPU_ALLOCATOR=cuda_malloc_async` that use cudaMallocAsync from
        CUDA 11.2. This could become the default in the future.
*   TF SavedModel:
    *   Custom gradients are now saved by default. See

#### *Try your first TensorFlow program*

```shell
$ python
```

```python
>>> import tensorflow as tf
>>> tf.add(1, 2).numpy()
3
>>> hello = tf.constant('Hello, TensorFlow!')
>>> hello.numpy()
b'Hello, TensorFlow!'
```

For more examples, see the
[TensorFlow tutorials](https://www.tensorflow.org/tutorials/).

## Contribution guidelines