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Release 0.17.6 #2338

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merged 4 commits into from
Nov 13, 2022
Merged

Release 0.17.6 #2338

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3de7cde
BLD: Bump r0.17 python support version 3.9 (#2235)
AnirudhDagar Aug 3, 2022
e6d1b8a
Update index.md
astonzhang Aug 8, 2022
0ff5a10
Add paddle to d2l lib
astonzhang Nov 12, 2022
52a2d59
bump version to 0.17.6
astonzhang Nov 13, 2022
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16 changes: 8 additions & 8 deletions chapter_installation/index.md
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Expand Up @@ -21,10 +21,10 @@ For example, if you are using macOS and Python 3.x
you would download the bash script
whose name contains the strings "Miniconda3" and "MacOSX",
navigate to the download location,
and execute the installation as follows:
and execute the installation as follows (taking Intel Macs as an example):

```bash
sh Miniconda3-latest-MacOSX-x86_64.sh -b
sh Miniconda3-py39_4.12.0-MacOSX-x86_64.sh -b
```


Expand All @@ -50,7 +50,7 @@ You should be able to create
a new environment as follows:

```bash
conda create --name d2l python=3.8 -y
conda create --name d2l python=3.9 -y
```


Expand Down Expand Up @@ -179,20 +179,20 @@ pip uninstall mxnet
We now need to find out what version of CUDA you have installed.
You can check this by running `nvcc --version`
or `cat /usr/local/cuda/version.txt`.
Assume that you have installed CUDA 10.1,
Assume that you have installed CUDA 10.2,
then you can install with the following command:

```bash
# For Windows users
pip install mxnet-cu101==1.7.0 -f https://dist.mxnet.io/python
pip install mxnet-cu102==1.7.0 -f https://dist.mxnet.io/python

# For Linux and macOS users
pip install mxnet-cu101==1.7.0
pip install mxnet-cu102==1.7.0
```


You may change the last digits according to your CUDA version, e.g., `cu100` for
CUDA 10.0 and `cu90` for CUDA 9.0.
You may change the last digits according to your CUDA version, e.g., `cu101` for
CUDA 10.1 and `cu90` for CUDA 9.0.
:end_tab:


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2 changes: 1 addition & 1 deletion config.ini
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Expand Up @@ -12,7 +12,7 @@ author = Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola

copyright = 2022, All authors. Licensed under CC-BY-SA-4.0 and MIT-0.

release = 0.17.5
release = 0.17.6



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3 changes: 2 additions & 1 deletion d2l/__init__.py
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Expand Up @@ -5,7 +5,8 @@
from d2l import mxnet as d2l # Use MXNet as the backend
from d2l import torch as d2l # Use PyTorch as the backend
from d2l import tensorflow as d2l # Use TensorFlow as the backend
from d2l import paddle as d2l # Use PaddlePaddle as the backend
"""

__version__ = "0.17.5"
__version__ = "0.17.6"
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