Name: TensorFlow Profiler demo (TF Dev Summit '20)
Uploaded: 2020-03-31T06:47:22.000Z
Duration: 7 min 51 s
Description: Thousands of YouTube videos with English-Chinese subtitles! Now you can learn to understand native speakers, expand your vocabulary, and improve your pronunciation...

Gerund

I'm a technical program manager with the TensorFlow team.

JIHO CHOI: Hi, I'm Jiho Choi, a software engineer at Google.

And I am very excited to show you the new TensorFlow

This is something new we are releasing at this TensorFlow

So we will want to run our model faster, right?

And to make it faster, it is essential to collect

you to profile your model and collect such performance data,

and provides you with a set of tools to find and fix

JIHO CHOI: It supports CUP, GPU, and TPU.

EWA MATEJSKA: So I see a lot of code here.

So for this demo, we are going to use the MNIST data set.

to be very simple sequential model with three layers.

EWA MATEJSKA: So since you're instrumenting the code,

does that affect your runtime performance?

going to use the TensorBoard Keras callback.

in the menu we are just probably seeing at the TensorFlow web

EWA MATEJSKA: I see you have sampling mode on the screen

So sampling mode is the-- it enables on-demand profiling.

So for example, for already running jobs,

you can attach to it and then monitor the performance.

It is very useful, for example, for the products and jobs.

EWA MATEJSKA: What is the effect on your runtime performance

JIHO CHOI: Again, it's the performance are all great.

JIHO CHOI: So this is how you add Keras TensorBoard callback

We are creating the TensorBoard callback object and then pass

be then able to see the data in the TensorBoard?

as the dynamic plug-in to the TensorBoard.

Here, I prepare the same code as I showed in the presentation.

EWA MATEJSKA: So we don't have to wait too long.

JIHO CHOI: Then we need to start the TensorBoard, the instance,

And you do that by-- how do you start the TensorBoard instance?

I already installed TensorBoard in my laptop.

Or you can-- the guide in the TensorFlow web

site shows the instructions how to download and install

So now, I started the TensorBoard instance locally.

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TensorFlow Profiler demo (TF Dev Summit '20)

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