Skip to content

Add supported CUDA version to the documentation. #372

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Aug 31, 2018
Merged

Add supported CUDA version to the documentation. #372

Show file tree
Hide file tree
Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
a8ac3dd
Add supported CUDA version to the documentation about ML frameworks c…
nadiaya Aug 30, 2018
f1cc868
Move tensorflow cuda dependency.
nadiaya Aug 31, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion src/sagemaker/chainer/README.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -639,7 +639,7 @@ The Chainer Docker images have the following dependencies installed:
+-----------------------------+-------------+
| chainermn | 1.2.0 |
+-----------------------------+-------------+
| CUDA | 9.0 |
| CUDA (GPU image only) | 9.0 |
+-----------------------------+-------------+
| cupy | 4.0.0 |
+-----------------------------+-------------+
Expand Down
2 changes: 1 addition & 1 deletion src/sagemaker/mxnet/README.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -590,7 +590,7 @@ The Docker images have the following dependencies installed:
+-------------------------+--------------+-------------+-------------+-------------+
| Python | 2.7 or 3.5 | 2.7 or 3.5| 2.7 or 3.5| 2.7 or 3.5|
+-------------------------+--------------+-------------+-------------+-------------+
| CUDA | 9.0 | 9.0 | 9.0 | 9.0 |
| CUDA (GPU image only) | 9.0 | 9.0 | 9.0 | 9.0 |
+-------------------------+--------------+-------------+-------------+-------------+
| numpy | 1.13.3 | 1.13.3 | 1.13.3 | 1.14.5 |
+-------------------------+--------------+-------------+-------------+-------------+
Expand Down
2 changes: 2 additions & 0 deletions src/sagemaker/pytorch/README.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -667,6 +667,8 @@ The PyTorch Docker images have the following dependencies installed:
+-----------------------------+---------------+
| botocore | 1.10.35 |
+-----------------------------+---------------+
| CUDA (GPU image only) | 9.0 |
+-----------------------------+---------------+
| numpy | 1.14.3 |
+-----------------------------+---------------+
| Pillow | 5.1.0 |
Expand Down
2 changes: 1 addition & 1 deletion src/sagemaker/tensorflow/README.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -860,7 +860,7 @@ The TensorFlow Docker images support Python 2.7. They include the following Pyth
- tensorflow
- tensorflow-serving-api

The Docker images extend Ubuntu 16.04.
The Docker images extend Ubuntu 16.04. GPU image uses CUDA 9.0.
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

"The CPU Docker images extend the Ubuntu 16.04 Docker image. The GPU images extend the CUDA 9.0 Docker image."

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Both CPU and GPU extend ubuntu 16.04 image :)

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

then just add CUDA to the list above and change "Python packages" to "dependencies". Or add a table like the other READMEs have


You can select version of TensorFlow by passing a ``framework_version`` keyword arg to the TensorFlow Estimator constructor. Currently supported versions are listed in the table above. You can also set ``framework_version`` to only specify major and minor version, e.g ``1.6``, which will cause your training script to be run on the latest supported patch version of that minor version, which in this example would be 1.6.0.
Alternatively, you can build your own image by following the instructions in the SageMaker TensorFlow containers
Expand Down