)
            when (os) {
                Os.WINDOWS -> {
                    profilerParam("jprofiler")
                    param("env.JPROFILER_HOME", "C:\\Program Files\\jprofiler\\jprofiler11.1.4")
                }

                else -> {
                    profilerParam("async-profiler")
                    param("env.FG_HOME_DIR", "/opt/FlameGraph")

*Nightly binaries are available for testing using the
[tf-nightly](https://pypi.python.org/pypi/tf-nightly) and
[tf-nightly-cpu](https://pypi.python.org/pypi/tf-nightly-cpu) packages on PyPI.*

#### *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!'
```

arguments and returns no value.
</p>

<pre>
func main() { … }
</pre>

<p>
Program execution begins by <a href="#Program_initialization">initializing the program</a>
and then invoking the function <code>main</code> in package <code>main</code>.
When that function invocation returns, the program exits.
It does not wait for other (non-<code>main</code>) goroutines to complete.
</p>

    1.  To switch tf.keras to use Keras 2 (tf-keras), set the environment
        variable TF_USE_LEGACY_KERAS=1 directly or in your python program by
        import os;os.environ["TF_USE_LEGACY_KERAS"]=1. Please note that this
        will set it for all packages in your Python runtime program

*   1.  Change import of keras from tensorflow as follows
*   import tensorflow.keras as keras and import keras to import tf_keras as
    keras

HTTP/1 [Response.Body] now automatically drains any unread content upon being
closed, up to a conservative limit, to allow better connection reuse. For most
programs, this change should be a no-op, or result in a performance improvement.
In rare cases, programs that do not benefit from connection reuse might
experience performance degradation if they had been improperly allowing an
excessive amount of idle connections to linger; usually by setting