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Upgrade Ray version to 1.9.2 in documents and setup (#4037)

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* upgrade ray 1.2.0 to 1.9.2 in documents

* change ray version 1.9.0 to 1.9.2 in setup
This commit is contained in:
Shan Yu 2022-02-16 12:21:58 +08:00 committed by GitHub
parent 1422e99b56
commit ce7a812623
4 changed files with 6 additions and 6 deletions
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4
docs/readthedocs/requirements-doc.txt
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@ -6,8 +6,8 @@ sphinxemoji
click click
tensorflow==1.15.2 tensorflow==1.15.2
bigdl==0.12.0 bigdl==0.12.0
ray[tune]==1.2.0 ray[tune]==1.9.2
ray==1.2.0 ray==1.9.2
torch==1.7.1 torch==1.7.1
Pygments==2.3.1 Pygments==2.3.1
setuptools==41.0.1 setuptools==41.0.1

2
docs/readthedocs/source/doc/Orca/Overview/distributed-tuning.md
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@ -16,7 +16,7 @@ You can install the latest release version of BigDL Orca as follows:
pip install --pre --upgrade bigdl-orca[automl] pip install --pre --upgrade bigdl-orca[automl]
``` ```
_Note that with extra key of [automl], `pip` will automatically install the additional dependencies for distributed hyper-parameter tuning, _Note that with extra key of [automl], `pip` will automatically install the additional dependencies for distributed hyper-parameter tuning,
including `ray[tune]==1.2.0`, `scikit-learn`, `tensorboard`, `xgboost`._ including `ray[tune]==1.9.2`, `scikit-learn`, `tensorboard`, `xgboost`._
To use [Pytorch Estimator](#pytorch-autoestimator), you need to install Pytorch with `pip install torch==1.8.1`. To use [Pytorch Estimator](#pytorch-autoestimator), you need to install Pytorch with `pip install torch==1.8.1`.

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docs/readthedocs/source/doc/Ray/Overview/ray.md
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@ -7,14 +7,14 @@ With the _**RayOnSpark**_ support packaged in [BigDL Orca](../../Orca/Overview/o
Users can seamlessly integrate Ray applications into the big data processing pipeline on the underlying Big Data cluster Users can seamlessly integrate Ray applications into the big data processing pipeline on the underlying Big Data cluster
(such as [Hadoop/YARN](../../UserGuide/hadoop.md) or [K8s](../../UserGuide/k8s.md)). (such as [Hadoop/YARN](../../UserGuide/hadoop.md) or [K8s](../../UserGuide/k8s.md)).
_**Note:** BigDL has been tested on Ray 1.2.0 and you are highly recommended to use this tested version._ _**Note:** BigDL has been tested on Ray 1.9.2 and you are highly recommended to use this tested version._
### **1. Install** ### **1. Install**
We recommend using [conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/) to prepare the Python environment. We recommend using [conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/) to prepare the Python environment.
When installing bigdl-orca with pip, you can specify the extras key `[ray]` to install the additional dependencies When installing bigdl-orca with pip, you can specify the extras key `[ray]` to install the additional dependencies
for running Ray (i.e. `ray==1.2.0`, `psutil`, `aiohttp==3.7.0`, `aioredis==1.1.0`, `setproctitle`, `hiredis==1.1.0`, `async-timeout==3.0.1`): for running Ray (i.e. `ray==1.9.2`, `psutil`, `aiohttp==3.7.0`, `aioredis==1.1.0`, `setproctitle`, `hiredis==1.1.0`, `async-timeout==3.0.1`):
```bash ```bash
conda create -n py37 python=3.7 # "py37" is conda environment name, you can use any name you like. conda create -n py37 python=3.7 # "py37" is conda environment name, you can use any name you like.

2
docs/readthedocs/source/doc/UserGuide/python.md
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@ -119,7 +119,7 @@ BigDL has been tested on __Python 3.6 and 3.7__ with the following library versi
```bash ```bash
pyspark==2.4.6 or 3.1.2 pyspark==2.4.6 or 3.1.2
ray==1.2.0 ray==1.9.2
tensorflow==1.15.0 or >2.0 tensorflow==1.15.0 or >2.0
pytorch>=1.5.0 pytorch>=1.5.0
torchvision>=0.6.0 torchvision>=0.6.0