internal merge of PR tensorflow#961

PiperOrigin-RevId: 207941265

Author: afrozenator

README.md

@@ -9,6 +9,7 @@ welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg)](CO
 [![Gitter](https://img.shields.io/gitter/room/nwjs/nw.js.svg)](https://gitter.im/tensor2tensor/Lobby)
 [![License](https://img.shields.io/badge/License-Apache%202.0-brightgreen.svg)](https://opensource.org/licenses/Apache-2.0)
 [![Travis](https://img.shields.io/travis/tensorflow/tensor2tensor.svg)](https://travis-ci.org/tensorflow/tensor2tensor)
+[![Run on FH](https://static.floydhub.com/button/button-small.svg)](https://floydhub.com/run)
 
 [Tensor2Tensor](https://github.com/tensorflow/tensor2tensor), or
 [T2T](https://github.com/tensorflow/tensor2tensor) for short, is a library
@@ -66,6 +67,7 @@ pip install tensor2tensor && t2t-trainer \
 * [Adding your own components](#adding-your-own-components)
 * [Adding a dataset](#adding-a-dataset)
 * [Papers](#papers)
+* [Run on FloydHub](#run-on-floydhub)
 
 ## Suggested Datasets and Models
 
@@ -408,6 +410,29 @@ paper](https://arxiv.org/abs/1803.07416).
 }
 ```
 
+## Run on FloydHub
+
+[![Run on FloydHub](https://static.floydhub.com/button/button.svg)](https://floydhub.com/run)
+
+Click this button to open a [Workspace](https://blog.floydhub.com/workspaces/) on [FloydHub](https://www.floydhub.com/?utm_medium=readme&utm_source=tensor2tensor&utm_campaign=jul_2018). You can use the workspace to develop and test your code on a fully configured cloud GPU machine.
+
+Tensor2Tensor comes preinstalled in the environment, you can simply open a [Terminal](https://docs.floydhub.com/guides/workspace/#using-terminal) and run your code.
+
+```bash
+# Test the quick-start on a Workspace's Terminal with this command
+t2t-trainer \
+  --generate_data \
+  --data_dir=./t2t_data \
+  --output_dir=./t2t_train/mnist \
+  --problem=image_mnist \
+  --model=shake_shake \
+  --hparams_set=shake_shake_quick \
+  --train_steps=1000 \
+  --eval_steps=100
+```
+
+Note: Ensure compliance with the FloydHub [Terms of Service](https://www.floydhub.com/about/terms).
+
 Tensor2Tensor was used to develop a number of state-of-the-art models
 and deep learning methods. Here we list some papers that were based on T2T
 from the start and benefited from its features and architecture in ways

docs/walkthrough.md

@@ -9,6 +9,7 @@ welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg)](CO
 [![Gitter](https://img.shields.io/gitter/room/nwjs/nw.js.svg)](https://gitter.im/tensor2tensor/Lobby)
 [![License](https://img.shields.io/badge/License-Apache%202.0-brightgreen.svg)](https://opensource.org/licenses/Apache-2.0)
 [![Travis](https://img.shields.io/travis/tensorflow/tensor2tensor.svg)](https://travis-ci.org/tensorflow/tensor2tensor)
+[![Run on FH](https://static.floydhub.com/button/button-small.svg)](https://floydhub.com/run)
 
 [Tensor2Tensor](https://github.com/tensorflow/tensor2tensor), or
 [T2T](https://github.com/tensorflow/tensor2tensor) for short, is a library
@@ -66,6 +67,7 @@ pip install tensor2tensor && t2t-trainer \
 * [Adding your own components](#adding-your-own-components)
 * [Adding a dataset](#adding-a-dataset)
 * [Papers](#papers)
+* [Run on FloydHub](#run-on-floydhub)
 
 ## Suggested Datasets and Models
 
@@ -408,6 +410,29 @@ paper](https://arxiv.org/abs/1803.07416).
 }
 ```
 
+## Run on FloydHub
+
+[![Run on FloydHub](https://static.floydhub.com/button/button.svg)](https://floydhub.com/run)
+
+Click this button to open a [Workspace](https://blog.floydhub.com/workspaces/) on [FloydHub](https://www.floydhub.com/?utm_medium=readme&utm_source=tensor2tensor&utm_campaign=jul_2018). You can use the workspace to develop and test your code on a fully configured cloud GPU machine.
+
+Tensor2Tensor comes preinstalled in the environment, you can simply open a [Terminal](https://docs.floydhub.com/guides/workspace/#using-terminal) and run your code.
+
+```bash
+# Test the quick-start on a Workspace's Terminal with this command
+t2t-trainer \
+  --generate_data \
+  --data_dir=./t2t_data \
+  --output_dir=./t2t_train/mnist \
+  --problem=image_mnist \
+  --model=shake_shake \
+  --hparams_set=shake_shake_quick \
+  --train_steps=1000 \
+  --eval_steps=100
+```
+
+Note: Ensure compliance with the FloydHub [Terms of Service](https://www.floydhub.com/about/terms).
+
 Tensor2Tensor was used to develop a number of state-of-the-art models
 and deep learning methods. Here we list some papers that were based on T2T
 from the start and benefited from its features and architecture in ways

floyd.yml

@@ -0,0 +1,2 @@
+env: tensorflow-1.9
+machine: gpu

floyd_requirements.txt

@@ -0,0 +1 @@
+tensor2tensor