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Merge pull request #2798 from nakane11/chainer
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[doc] Fix install_chainer_gpu.rst
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k-okada authored Oct 17, 2023
2 parents 46e5c4a + efbae4e commit edafb9c
Showing 1 changed file with 8 additions and 8 deletions.
16 changes: 8 additions & 8 deletions doc/install_chainer_gpu.rst → doc/install_chainer_gpu.md
Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@ Version Compatibilities for 18.04
Install CUDA
------------

- Ubuntu 14.04 : Download deb file from https://developer.nvidia.com/cuda-downloads?target_os=Linux::
- Ubuntu 14.04 : Download deb file from https://developer.nvidia.com/cuda-downloads?target_os=Linux:

```bash
# If you'd like to use CUDA8.0 on Ubuntu 14.04.
Expand All @@ -56,7 +56,7 @@ Install CUDA
sudo apt-get install cuda
```

- Add below to your `~/.bashrc`::
- Add below to your `~/.bashrc`:

```bash
# setup cuda & cudnn
Expand All @@ -76,7 +76,7 @@ Install CUDA
```


- Ubuntu 16.04 : Download deb file from https://developer.nvidia.com/cuda-downloads?target_os=Linux::
- Ubuntu 16.04 : Download deb file from https://developer.nvidia.com/cuda-downloads?target_os=Linux:

```bash
# If you'd like to use CUDA9.2 on Ubuntu 16.04.
Expand All @@ -91,7 +91,7 @@ Install CUDA
sudo apt install nvidia-cuda-toolkit
sudo apt install nvidia-cuda-dev
- (Experimental) Ubuntu 18.04 : CUDA 10.2 is the latest version which supports `jsk_perception`. Download deb file from https://developer.nvidia.com/cuda-downloads?target_os=Linux::
- (Experimental) Ubuntu 18.04 : CUDA 10.2 is the latest version which supports `jsk_perception`. Download deb file from https://developer.nvidia.com/cuda-downloads?target_os=Linux:
```bash
# If you'd like to use CUDA10.2 on Ubuntu 18.04.
Expand Down Expand Up @@ -156,15 +156,15 @@ Install Cupy
- (Default) Chainer 6.7.0 requires CuPy 6.7.0 and if you have CUDA 9.1, you can use CuPy pre-compiled binary package.


- Pre-compiled Install Cupy for CUDA 9.1 ::
- Pre-compiled Install Cupy for CUDA 9.1 :

```bash
sudo pip install cupy-cuda91==6.7.0
```

- (Experimental) If you have newer CUDA version. You need to install CuPy with source distribution. This requires CUDNN before you run `pip install cupy` .

- Source Install Cupy for CUDA 10.2 ::
- Source Install Cupy for CUDA 10.2 :

```bash
sudo pip install -vvv cupy --no-cache-dir
Expand Down Expand Up @@ -192,7 +192,7 @@ Install PyTorch
Try Chainer Samples
-----------

You can try to run samples to check if the installation succeeded::
You can try to run samples to check if the installation succeeded:

roslaunch jsk_perception sample_fcn_object_segmentation.launch gpu:=0
roslaunch jsk_perception sample_people_pose_estimation_2d.launch GPU:=0
Expand All @@ -201,7 +201,7 @@ You can try to run samples to check if the installation succeeded::
Try PyTorch Samples
-----------

You can try to run samples to check if the installation succeeded::
You can try to run samples to check if the installation succeeded:

roslaunch jsk_perception sample_hand_pose_estimation_2d.launch gpu:=0

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