Skip to content
Permalink
Browse files
Documentation Updates for 6.0 (#2815)
* Documentation Updates for 6.0
  • Loading branch information
TobyRoseman committed Dec 18, 2019
1 parent af567ff commit 18dc3bf
Show file tree
Hide file tree
Showing 2 changed files with 10 additions and 26 deletions.
@@ -1,8 +1,6 @@
Turi Create **does not require a GPU**, but certain models can be accelerated by the use of a GPU.
To enable GPU support in linux after installation of the `turicreate` package, please perform the following steps:

* Install CUDA 8.0 ([instructions](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/))
* Install cuDNN 5 for CUDA 8.0 ([instructions](https://developer.nvidia.com/cudnn))
To enable GPU support in Linux after installation of the `turicreate` package, first make sure both
[CUDA](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/) and [cuDNN](https://developer.nvidia.com/cudnn) are installed.

Make sure to add the CUDA library path to your `LD_LIBRARY_PATH` environment
variable. In the typical case, this means adding the following line to your
@@ -11,18 +9,18 @@ variable. In the typical case, this means adding the following line to your
```shell
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
```

If you installed the cuDNN files into a separate directory, make sure to
separately add it as well. Next step is to uninstall `mxnet` and install the
CUDA-enabled `mxnet-cu80` package:
separately add those as well.

The next step is to uninstall `tensorflow` and install the
CUDA-enabled `tensorflow-gpu` package:

```
(venv) pip uninstall -y mxnet
(venv) pip install mxnet-cu80==1.1.0
(venv) pip uninstall -y tensorflow
(venv) pip install tensorflow-gpu
```

Make sure you install the same version of MXNet as the one `turicreate` recommends
(currently `1.1.0`). If you have trouble setting up the GPU, the [MXNet
installation instructions](https://mxnet.apache.org/get_started/?version=v1.1.0&platform=linux&language=python&environ=pip&processor=gpu) may
If you have trouble setting up the GPU, the [TensorFlow
installation instructions](https://www.tensorflow.org/install/gpu) may
offer additional help.

@@ -118,20 +118,6 @@ To install `Turi Create` within your virtual environment:
(venv) pip install -U turicreate
```

Version 5.0 (New)
-----------------

Turi Create 5.0 includes:
* GPU Acceleration on Macs for:
* Image Classification (macOS 10.13+)
* Image Similarity (macOS 10.13+)
* Object Detection (macOS 10.14+)
* Activity Classification (macOS 10.14+)
* New Task: Style Transfer
* Recommender model deployment
* Vision Feature Print model deployment


Documentation
-------------

0 comments on commit 18dc3bf

Please sign in to comment.