diff --git a/install/mindspore_ascend_install_conda.md b/install/mindspore_ascend_install_conda.md index 8ae2fbb1923ec3ed2124b17659c3d65275b920d3..3cd92371bfb5cf27b3f6b28cf39d1ddaafd8b0cb 100644 --- a/install/mindspore_ascend_install_conda.md +++ b/install/mindspore_ascend_install_conda.md @@ -28,7 +28,7 @@ |软件名称|版本|作用| |-|-|-| |Debian系列操作系统 / openEuler系列操作系统|Debian系列：Debian、Ubuntu、veLinux / openEuler系列：openEuler、CentOS、Kylin、BCLinux、UOS V20、AntOS、CTyunOS、CULinux、Tlinux、MTOS|编译和运行MindSpore的操作系统| -|[昇腾AI处理器配套软件包](#安装昇腾ai处理器配套软件包)|CANN 8.2.RC1、CANN 8.1.RC1、CANN 8.0.0|MindSpore使用的Ascend平台AI计算库| +|[昇腾AI处理器配套软件包](#安装昇腾ai处理器配套软件包)|CANN 8.3.RC1、CANN 8.2.RC1、CANN 8.1.RC1|MindSpore使用的Ascend平台AI计算库| |[Conda](#安装conda)|Anaconda3或Miniconda3|Python环境管理工具| |[GCC](#安装gcc)|7.3.0|用于编译MindSpore的C++编译器| @@ -36,7 +36,7 @@ ### 安装昇腾AI处理器配套软件包 -昇腾软件包社区版下载链接请前往[CANN社区版](https://www.hiascend.com/developer/download/community/result?module=cann)，推荐优先选择`8.2.RC1`版本，以及在[固件与驱动](https://www.hiascend.com/hardware/firmware-drivers/community)链接中获取对应的固件和驱动安装包，安装包的选择与安装方式请参照[安装指引文档](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/82RC1/softwareinst/instg/instg_quick.html)。 +昇腾软件包社区版下载链接待发布，以及在[固件与驱动](https://www.hiascend.com/hardware/firmware-drivers/community)链接中获取对应的固件和驱动安装包，安装包的选择与安装方式请参照[安装指引文档（待发布）]。 安装包默认安装路径为`/usr/local/Ascend`。安装后确认当前用户有权限访问昇腾AI处理器配套软件包的安装路径，若无权限，需要root用户将当前用户添加到`/usr/local/Ascend`所在的用户组。 @@ -46,8 +46,8 @@ ```bash cd /tmp -curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh -bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b +curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh +bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash diff --git a/install/mindspore_ascend_install_conda_en.md b/install/mindspore_ascend_install_conda_en.md index ceb9f91c9245b3b53cab75c45d4ddb3588a9f292..744c9b8b26b4b6b28c432cd478d492f27833cc26 100644 --- a/install/mindspore_ascend_install_conda_en.md +++ b/install/mindspore_ascend_install_conda_en.md @@ -28,7 +28,7 @@ The following table lists the system environment and third-party dependencies re |Software|Version|Description| |-|-|-| |Debian series OS / openEuler series OS|Debianseries: Debian, Ubuntu, veLinux / openEuler serires: openEuler, CentOS, Kylin, BCLinux, UOS V20, AntOS, CTyunOS, CULinux, Tlinux, MTOS|Operating Systems compatible to MindSpore| -|[Ascend AI processor software package](#installing-ascend-ai-processor-software-package)|CANN 8.2.RC1, CANN 8.1.RC1, CANN 8.0.0|Ascend platform AI computing library used by MindSpore| +|[Ascend AI processor software package](#installing-ascend-ai-processor-software-package)|CANN 8.3.RC1, CANN 8.2.RC1, CANN 8.1.RC1|Ascend platform AI computing library used by MindSpore| |[Conda](#installing-conda)|Anaconda3 or Miniconda3|Python environment management tool| |[GCC](#installing-gcc)|7.3.0|C++ compiler for compiling MindSpore| @@ -36,7 +36,7 @@ The following describes how to install the third-party dependencies. ### Installing Ascend AI processor software package -To install Ascend software package community edition, the recommended version is `8.2.RC1` in [CANN community edition](https://www.hiascend.com/developer/download/community/result?module=cann), then choose relevant driver and firmware packages in [firmware and driver](https://www.hiascend.com/hardware/firmware-drivers/community). Please refer to [Installation guide](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/82RC1/softwareinst/instg/instg_quick.html) to choose which packages are to be installed and how to install them. +To install Ascend software package community edition, the recommended version is TBD, then choose relevant driver and firmware packages in [firmware and driver](https://www.hiascend.com/hardware/firmware-drivers/community). Please refer to [Installation guide](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/83RC1/softwareinst/instg/instg_quick.html) to choose which packages are to be installed and how to install them. The default installation path of the installation package is `/usr/local/Ascend`. Ensure that the current user has the right to access the installation path `/usr/local/Ascend` of Ascend AI processor software package. If not, the root user needs to add the current user to the user group where `/usr/local/Ascend` is located. @@ -46,8 +46,8 @@ Run the following command to install Miniconda. ```bash cd /tmp -curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh -bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b +curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh +bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash diff --git a/install/mindspore_ascend_install_docker.md b/install/mindspore_ascend_install_docker.md index 730a08751099d7a7ad8b508b556625358252c3b5..2e7eabd24e239384de2b3129d7e0ddb4db1bcd6a 100644 --- a/install/mindspore_ascend_install_docker.md +++ b/install/mindspore_ascend_install_docker.md @@ -28,7 +28,7 @@ MindSpore的Docker镜像托管在[Huawei SWR](https://support.huaweicloud.com/sw | Atlas 训练系列 | `mindspore` | `mindspore-ascend-a1` | `x.y.z` | 已经预安装Ascend Data Center Solution 与对应的MindSpore Ascend x.y.z版本的生产环境。 | | Atlas A2 训练系列 | `mindspore` | `mindspore-ascend-a2` | `x.y.z` | 已经预安装Ascend Data Center Solution 与对应的MindSpore Ascend x.y.z版本的生产环境。 | -> `x.y.z`对应MindSpore版本号，例如安装2.7.0版本MindSpore时，`x.y.z`应写为2.7.0。 +> `x.y.z`对应MindSpore版本号，例如安装2.7.1版本MindSpore时，`x.y.z`应写为2.7.1。 ## 确认系统环境信息 @@ -37,12 +37,12 @@ MindSpore的Docker镜像托管在[Huawei SWR](https://support.huaweicloud.com/sw |软件名称|版本|作用| |-|-|-| |Debian系列操作系统 / openEuler系列操作系统|Debian系列：Debian、Ubuntu、veLinux / openEuler系列：openEuler、CentOS、Kylin、BCLinux、UOS V20、AntOS、CTyunOS、CULinux、Tlinux、MTOS|运行MindSporer容器的操作系统| -|[昇腾AI处理器配套软件包](#安装昇腾ai处理器配套软件包)|CANN 8.2.RC1、CANN 8.1.RC1、CANN 8.0.0|MindSpore使用的Ascend平台AI计算库| +|[昇腾AI处理器配套软件包](#安装昇腾ai处理器配套软件包)|CANN 8.3.RC1、CANN 8.2.RC1、CANN 8.1.RC1|MindSpore使用的Ascend平台AI计算库| |Docker | Docker 18.03或更高版本 |提供轻量级容器化环境，实现MindSpore及其依赖的隔离部署与跨平台运行| ## 安装昇腾AI处理器配套软件包 -昇腾软件包社区版下载链接请前往[CANN社区版](https://www.hiascend.com/developer/download/community/result?module=cann)，推荐优先选择`8.2.RC1`版本，以及在[固件与驱动](https://www.hiascend.com/hardware/firmware-drivers/community)链接中获取对应的固件和驱动安装包，安装包的选择与安装方式请参照[安装指引文档](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/82RC1/softwareinst/instg/instg_quick.html)。 +昇腾软件包社区版下载链接请前往[CANN社区版](https://www.hiascend.com/developer/download/community/result?module=cann)，推荐优先选择`8.3.RC1`版本，以及在[固件与驱动](https://www.hiascend.com/hardware/firmware-drivers/community)链接中获取对应的固件和驱动安装包，安装包的选择与安装方式请参照[安装指引文档](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/83RC1/softwareinst/instg/instg_quick.html)。 安装包默认安装路径为`/usr/local/Ascend`。安装后确认当前用户有权限访问昇腾AI处理器配套软件包的安装路径，若无权限，需要root用户将当前用户添加到`/usr/local/Ascend`所在的用户组。 @@ -57,18 +57,18 @@ docker pull swr.cn-south-1.myhuaweicloud.com/mindspore/{image_name}:{tag} 其中： - `{image_name}` 对应上述表格中的docker镜像名称，使用 Atlas 训练系列产品请下载 `mindspore-ascend-a1` 镜像；Atlas A2 训练系列产品请下载 `mindspore-ascend-a2` 镜像。 -- `{tag}`对应上述表格中的标签,如2.7.0。 +- `{tag}`对应上述表格中的标签,如2.7.1。 -如果需要使用MindSpore 2.7.0版本，Atlas训练系列硬件的镜像，使用以下命令： +如果需要使用MindSpore 2.7.1版本，Atlas训练系列硬件的镜像，使用以下命令： ```bash -docker pull swr.cn-south-1.myhuaweicloud.com/mindspore/mindspore-ascend-a1:2.7.0 +docker pull swr.cn-south-1.myhuaweicloud.com/mindspore/mindspore-ascend-a1:2.7.1 ``` -如果需要使用MindSpore 2.7.0版本，Atlas A2训练系列硬件的镜像，使用以下命令： +如果需要使用MindSpore 2.7.1版本，Atlas A2训练系列硬件的镜像，使用以下命令： ```bash -docker pull swr.cn-south-1.myhuaweicloud.com/mindspore/mindspore-ascend-a2:2.7.0 +docker pull swr.cn-south-1.myhuaweicloud.com/mindspore/mindspore-ascend-a2:2.7.1 ``` ## 运行MindSpore镜像 @@ -101,7 +101,7 @@ docker run -it --ipc=host \ 其中： - `{image_name}` 对应上述表格中的docker镜像名称，Atlas 训练系列产品对应 `mindspore-ascend-a1` 镜像；Atlas A2 训练系列产品对应 `mindspore-ascend-a2` 镜像。 -- `{tag}`对应上述表格中的标签，如2.7.0。 +- `{tag}`对应上述表格中的标签，如2.7.1。 - 详细参数说明请见下表： |参数|参数说明| diff --git a/install/mindspore_ascend_install_docker_en.md b/install/mindspore_ascend_install_docker_en.md index 973950db6d5fc6866f03d87e3b446947338bd612..5f221a6956a33c32ffec61e896bf4fdc103e765e 100644 --- a/install/mindspore_ascend_install_docker_en.md +++ b/install/mindspore_ascend_install_docker_en.md @@ -28,7 +28,7 @@ The current support for containerized build options is as follows: | Atlas Training Series‌| `mindspore` | `mindspore-ascend-a1` | `x.y.z` | The production environment of MindSpore Ascend x.y.z together with the corresponding version of Ascend Data Center Solution. | | Atlas A2 Training Series‌| `mindspore` | `mindspore-ascend-a2` | `x.y.z` | The production environment of MindSpore Ascend x.y.z together with the corresponding version of Ascend Data Center Solution. | -> `x.y.z` corresponds to the MindSpore version number. For example, when MindSpore version 2.7.0 is installed, `x.y.z` should be written as 2.7.0. +> `x.y.z` corresponds to the MindSpore version number. For example, when MindSpore version 2.7.1 is installed, `x.y.z` should be written as 2.7.1. ## System Environment Information Confirmation @@ -37,12 +37,12 @@ The following table outlines the system requirements for deploying MindSpore usi |Software Name|Version|Function| |-|-|-| |Debian series OS / openEuler series OS|Debianseries: Debian, Ubuntu, veLinux / openEuler serires: openEuler, CentOS, Kylin, BCLinux, UOS V20, AntOS, CTyunOS, CULinux, Tlinux, MTOS|‌Recommended OS for MindSpore Container Deployment| -|[Ascend AI processor software package](#installing-ascend-ai-processor-software-package)|CANN 8.2.RC1, CANN 8.1.RC1, CANN 8.0.0|Ascend platform AI computing library used by MindSpore| +|[Ascend AI processor software package](#installing-ascend-ai-processor-software-package)|CANN 8.3.RC1, CANN 8.2.RC1, CANN 8.1.RC1|Ascend platform AI computing library used by MindSpore| |Docker | Docker 18.03+ |Provides lightweight containerization environment for isolated deployment and cross-platform execution of MindSpore and its dependencies| ## Installing Ascend AI processor software package -To install Ascend software package community edition, the recommended version is `8.2.RC1` in [CANN community edition](https://www.hiascend.com/developer/download/community/result?module=cann), then choose relevant driver and firmware packages in [firmware and driver](https://www.hiascend.com/hardware/firmware-drivers/community). Please refer to [Installation guide](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/82RC1/softwareinst/instg/instg_quick.html) to choose which packages are to be installed and how to install them. +To install Ascend software package community edition, the recommended version is `8.3.RC1` in [CANN community edition](https://www.hiascend.com/developer/download/community/result?module=cann), then choose relevant driver and firmware packages in [firmware and driver](https://www.hiascend.com/hardware/firmware-drivers/community). Please refer to [Installation guide](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/83RC1/softwareinst/instg/instg_quick.html) to choose which packages are to be installed and how to install them. The default installation path of the installation package is `/usr/local/Ascend`. Ensure that the current user has the right to access the installation path `/usr/local/Ascend` of Ascend AI processor software package. If not, the root user needs to add the current user to the user group where `/usr/local/Ascend` is located. @@ -59,16 +59,16 @@ of which, - `{image_name}` corresponds to the image name in the above table. For Atlas Training Series A1 products, download the `mindspore-ascend-a1` image; for Atlas A2 Training Series products, download the `mindspore-ascend-a2` image. - `{tag}` corresponds to the label in the above table. -To install MindSpore 2.7.0 on Atlas Training Platform, use the following command: +To install MindSpore 2.7.1 on Atlas Training Platform, use the following command: ```bash -docker pull swr.cn-south-1.myhuaweicloud.com/mindspore/mindspore-ascend-a1:2.7.0 +docker pull swr.cn-south-1.myhuaweicloud.com/mindspore/mindspore-ascend-a1:2.7.1 ``` -To install MindSpore 2.7.0 on Atlas A2 Training Platform, use the following command: +To install MindSpore 2.7.1 on Atlas A2 Training Platform, use the following command: ```bash -docker pull swr.cn-south-1.myhuaweicloud.com/mindspore/mindspore-ascend-a2:2.7.0 +docker pull swr.cn-south-1.myhuaweicloud.com/mindspore/mindspore-ascend-a2:2.7.1 ``` ## Running MindSpore Image diff --git a/install/mindspore_ascend_install_pip.md b/install/mindspore_ascend_install_pip.md index ceb3b48df2d1a33e5bd2002f3584baa8191004d9..8cd1be6d5aa399b136a4c7291db01428b26fbc49 100644 --- a/install/mindspore_ascend_install_pip.md +++ b/install/mindspore_ascend_install_pip.md @@ -26,7 +26,7 @@ |-|-|-| |Debian系列操作系统 / openEuler系列操作系统|Debian系列：Debian、Ubuntu、veLinux / openEuler系列：openEuler、CentOS、Kylin、BCLinux、UOS V20、AntOS、CTyunOS、CULinux、Tlinux、MTOS|编译和运行MindSpore的操作系统| |[Python](#安装python)|3.9-3.11|MindSpore的使用依赖Python环境| -|[昇腾AI处理器配套软件包](#安装昇腾ai处理器配套软件包)|CANN 8.2.RC1、CANN 8.1.RC1、CANN 8.0.0|MindSpore使用的Ascend平台AI计算库| +|[昇腾AI处理器配套软件包](#安装昇腾ai处理器配套软件包)|CANN 8.3.RC1、CANN 8.2.RC1、CANN 8.1.RC1|MindSpore使用的Ascend平台AI计算库| |[GCC](#安装gcc)|7.3.0|用于编译MindSpore的C++编译器| 下面给出第三方依赖的安装方法。 @@ -39,8 +39,8 @@ ```bash cd /tmp -curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh -bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b +curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh +bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash @@ -69,7 +69,7 @@ python -m pip install -U pip ### 安装昇腾AI处理器配套软件包 -昇腾软件包社区版下载链接请前往[CANN社区版](https://www.hiascend.com/developer/download/community/result?module=cann)，推荐优先选择`8.2.RC1`版本，以及在[固件与驱动](https://www.hiascend.com/hardware/firmware-drivers/community)链接中获取对应的固件和驱动安装包，安装包的选择与安装方式请参照[安装指引文档](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/82RC1/softwareinst/instg/instg_quick.html)。 +昇腾软件包社区版下载链接待发布，以及在[固件与驱动](https://www.hiascend.com/hardware/firmware-drivers/community)链接中获取对应的固件和驱动安装包，安装包的选择与安装方式请参照[安装指引文档（待发布）]。 安装包默认安装路径为`/usr/local/Ascend`。安装后确认当前用户有权限访问昇腾AI处理器配套软件包的安装路径，若无权限，需要root用户将当前用户添加到`/usr/local/Ascend`所在的用户组。 @@ -116,10 +116,10 @@ pip install /usr/local/Ascend/ascend-toolkit/latest/lib64/hccl-*-py3-none-any.wh ### 安装MindSpore -首先参考[版本列表](https://www.mindspore.cn/versions)，选择想要安装的MindSpore版本，并进行SHA-256完整性校验。以2.7.0版本为例，执行以下命令。 +首先参考[版本列表](https://www.mindspore.cn/versions)，选择想要安装的MindSpore版本，并进行SHA-256完整性校验。以2.7.1版本为例，执行以下命令。 ```bash -export MS_VERSION=2.7.0 +export MS_VERSION=2.7.1 ``` 然后执行以下命令安装MindSpore。 diff --git a/install/mindspore_ascend_install_pip_en.md b/install/mindspore_ascend_install_pip_en.md index 510b659750536042ee5e0fb09bce8daa4debe999..91b5fad9d806b98a3a67e6effccc80dc15cac41d 100644 --- a/install/mindspore_ascend_install_pip_en.md +++ b/install/mindspore_ascend_install_pip_en.md @@ -26,7 +26,7 @@ The following table lists the system environment and third-party dependencies re |-|-|-| |Debian series OS / openEuler series OS|Debianseries: Debian, Ubuntu, veLinux / openEuler serires: openEuler, CentOS, Kylin, BCLinux, UOS V20, AntOS, CTyunOS, CULinux, Tlinux, MTOS|Operating Systems compatible to MindSpore| |[Python](#installing-python)|3.9-3.11|Python environment that MindSpore depends on| -|[Ascend AI processor software package](#installing-ascend-ai-processor-software-package)|CANN 8.2.RC1, CANN 8.1.RC1, CANN 8.0.0|Ascend platform AI computing library used by MindSpore| +|[Ascend AI processor software package](#installing-ascend-ai-processor-software-package)|CANN 8.3.RC1, CANN 8.2.RC1, CANN 8.1.RC1|Ascend platform AI computing library used by MindSpore| |[GCC](#installing-gcc)|7.3.0|C++ compiler for compiling MindSpore| The following describes how to install the third-party dependencies. @@ -39,8 +39,8 @@ Install Miniconda: ```bash cd /tmp -curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh -bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b +curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh +bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash @@ -69,7 +69,7 @@ python -m pip install -U pip ### Installing Ascend AI processor software package -To install Ascend software package community edition, the recommended version is `8.2.RC1` in [CANN community edition](https://www.hiascend.com/developer/download/community/result?module=cann), then choose relevant driver and firmware packages in [firmware and driver](https://www.hiascend.com/hardware/firmware-drivers/community). Please refer to [Installation guide](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/82RC1/softwareinst/instg/instg_quick.html) to choose which packages are to be installed and how to install them. +To install Ascend software package community edition, the recommended version is TBD, then choose relevant driver and firmware packages in [firmware and driver](https://www.hiascend.com/hardware/firmware-drivers/community). Please refer to [Installation guide(TBD)] to choose which packages are to be installed and how to install them. The default installation path of the installation package is `/usr/local/Ascend`. Ensure that the current user has the right to access the installation path of Ascend AI processor software package. If not, the root user needs to add the current user to the user group where `/usr/local/Ascend` is located. @@ -116,10 +116,10 @@ pip install /usr/local/Ascend/ascend-toolkit/latest/lib64/hccl-*-py3-none-any.wh ### Installing MindSpore -First, refer to [Version List](https://www.mindspore.cn/versions) to select the version of MindSpore you want to install, and perform SHA-256 integrity check. Taking version 2.7.0 as an example, execute the following commands. +First, refer to [Version List](https://www.mindspore.cn/versions) to select the version of MindSpore you want to install, and perform SHA-256 integrity check. Taking version 2.7.1 as an example, execute the following commands. ```bash -export MS_VERSION=2.7.0 +export MS_VERSION=2.7.1 ``` Then run the following command to install MindSpore. diff --git a/install/mindspore_ascend_install_source.md b/install/mindspore_ascend_install_source.md index defef14096cfebd596bee593182e51a4a3f6a19b..6c98e3d6025b06be860b167d2c69dea9cbb92ae0 100644 --- a/install/mindspore_ascend_install_source.md +++ b/install/mindspore_ascend_install_source.md @@ -32,7 +32,7 @@ |-|-|-| |Debian系列操作系统 / openEuler系列操作系统|Debian系列：Debian、Ubuntu、veLinux / openEuler系列：openEuler、CentOS、Kylin、BCLinux、UOS V20、AntOS、CTyunOS、CULinux、Tlinux、MTOS|编译和运行MindSpore的操作系统| |[Python](#安装python)|3.9-3.11|MindSpore的使用依赖Python环境| -|[昇腾AI处理器配套软件包](#安装昇腾ai处理器配套软件包)|CANN 8.2.RC1、CANN 8.1.RC1、CANN 8.0.0|MindSpore使用的Ascend平台AI计算库| +|[昇腾AI处理器配套软件包](#安装昇腾ai处理器配套软件包)|CANN 8.3.RC1、CANN 8.2.RC1、CANN 8.1.RC1|MindSpore使用的Ascend平台AI计算库| |[wheel](#安装wheel-setuptools-pyyaml和numpy)|0.32.0及以上|MindSpore使用的Python打包工具| |[setuptools](#安装wheel-setuptools-pyyaml和numpy)|44.0及以上|MindSpore使用的Python包管理工具| |[PyYAML](#安装wheel-setuptools-pyyaml和numpy)|6.0-6.0.2|MindSpore里的算子编译功能依赖PyYAML模块| @@ -56,8 +56,8 @@ ```bash cd /tmp -curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh -bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b +curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh +bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash @@ -80,7 +80,7 @@ python --version ### 安装昇腾AI处理器配套软件包 -昇腾软件包社区版下载链接请前往[CANN社区版](https://www.hiascend.com/developer/download/community/result?module=cann)，推荐优先选择`8.2.RC1`版本，以及在[固件与驱动](https://www.hiascend.com/hardware/firmware-drivers/community)链接中获取对应的固件和驱动安装包，安装包的选择与安装方式请参照[安装指引文档](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/82RC1/softwareinst/instg/instg_quick.html)。 +昇腾软件包社区版下载链接待发布，以及在[固件与驱动](https://www.hiascend.com/hardware/firmware-drivers/community)链接中获取对应的固件和驱动安装包，安装包的选择与安装方式请参照[安装指引文档（待发布）]。 安装包默认安装路径为`/usr/local/Ascend`。安装后确认当前用户有权限访问昇腾AI处理器配套软件包的安装路径，若无权限，需要root用户将当前用户添加到`/usr/local/Ascend`所在的用户组。 diff --git a/install/mindspore_ascend_install_source_en.md b/install/mindspore_ascend_install_source_en.md index 7a2686fdd9d347348a9044e1d44e3bf73cf5027b..b03075098717eb7ee1c70625fe4c9f6c7b0a0b8d 100644 --- a/install/mindspore_ascend_install_source_en.md +++ b/install/mindspore_ascend_install_source_en.md @@ -32,7 +32,7 @@ The following table lists the system environment and third-party dependencies re |-|-|-| |Debian series OS / openEuler series OS|Debianseries: Debian, Ubuntu, veLinux / openEuler serires: openEuler, CentOS, Kylin, BCLinux, UOS V20, AntOS, CTyunOS, CULinux, Tlinux, MTOS|Operating Systems compatible to MindSpore| |[Python](#installing-python)|3.9-3.11|Python environment that MindSpore depends on| -|[Ascend AI processor software package](#installing-ascend-ai-processor-software-package)|CANN 8.2.RC1, CANN 8.1.RC1, CANN 8.0.0|Ascend platform AI computing library used by MindSpore| +|[Ascend AI processor software package](#installing-ascend-ai-processor-software-package)|CANN 8.3.RC1, CANN 8.2.RC1, CANN 8.1.RC1|Ascend platform AI computing library used by MindSpore| |[wheel](#installing-wheel-setuptools-pyyaml-and-numpy)|0.32.0 or later|Python packaging tool used by MindSpore| |[setuptools](#installing-wheel-setuptools-pyyaml-and-numpy)|44.0 or later|Python package management tool used by MindSpore| |[PyYAML](#installing-wheel-setuptools-pyyaml-and-numpy)|6.0-6.0.2|PyYAML module that operator compilation in MindSpore depends on| @@ -56,8 +56,8 @@ Install Miniconda: ```bash cd /tmp -curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh -bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b +curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh +bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash @@ -80,7 +80,7 @@ python --version ### Installing Ascend AI processor software package -To install Ascend software package community edition, the recommended version is `8.2.RC1` in [CANN community edition](https://www.hiascend.com/developer/download/community/result?module=cann), then choose relevant driver and firmware packages in [firmware and driver](https://www.hiascend.com/hardware/firmware-drivers/community). Please refer to [Installation guide](https://www.hiascend.com/document/detail/zh/CANNCommunityEdition/82RC1/softwareinst/instg/instg_quick.html) to choose which packages are to be installed and how to install them. +To install Ascend software package community edition, the recommended version is TBD, then choose relevant driver and firmware packages in [firmware and driver](https://www.hiascend.com/hardware/firmware-drivers/community). Please refer to [Installation guide(TBD)] to choose which packages are to be installed and how to install them. The default installation path of the installation package is `/usr/local/Ascend`. Ensure that the current user has the right to access the installation path `/usr/local/Ascend` of Ascend AI processor software package. If not, the root user needs to add the current user to the user group where `/usr/local/Ascend` is located. diff --git a/install/mindspore_cpu_install_conda.md b/install/mindspore_cpu_install_conda.md index 07242db8978354d38a249a2b951fd105a1c554b8..fad3a7c0629433108f886e8a8900cb61cabd2d01 100644 --- a/install/mindspore_cpu_install_conda.md +++ b/install/mindspore_cpu_install_conda.md @@ -37,8 +37,8 @@ ```bash cd /tmp -curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh -bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b +curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh +bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash diff --git a/install/mindspore_cpu_install_conda_en.md b/install/mindspore_cpu_install_conda_en.md index 927e6c95fc6136fcbb03470d8bf9d4cc7ba382e3..0ff58e7fe9ef1396738fe8b6604d0475e6dc7020 100644 --- a/install/mindspore_cpu_install_conda_en.md +++ b/install/mindspore_cpu_install_conda_en.md @@ -37,8 +37,8 @@ Run the following command to install Miniconda. ```bash cd /tmp -curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh -bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b +curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh +bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash diff --git a/install/mindspore_cpu_install_nightly.md b/install/mindspore_cpu_install_nightly.md index 5c5bf18a07a1fb99e90d36fa67f1161a5ea3f9d2..de50f5017cd10a3393475eec52dffc8b4e8f3fcb 100644 --- a/install/mindspore_cpu_install_nightly.md +++ b/install/mindspore_cpu_install_nightly.md @@ -42,8 +42,8 @@ MindSpore Nightly是包含当前最新功能与bugfix的预览版本，但是可 ```bash cd /tmp - curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh - bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b + curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh + bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash diff --git a/install/mindspore_cpu_install_nightly_en.md b/install/mindspore_cpu_install_nightly_en.md index c2f8753eb0588e8be1d146864fbbd03d26a5961a..29e8e226a664994883327e3e270a42748e001f30 100644 --- a/install/mindspore_cpu_install_nightly_en.md +++ b/install/mindspore_cpu_install_nightly_en.md @@ -42,8 +42,8 @@ The following describes how to install the third-party dependencies. ```bash cd /tmp - curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh - bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b + curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh + bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash diff --git a/install/mindspore_cpu_install_pip.md b/install/mindspore_cpu_install_pip.md index 051922baa5c924c9087d37b37ad417bff5bcfe5b..bc89c09c4fc7bfab902e0afe55f085e742329225 100644 --- a/install/mindspore_cpu_install_pip.md +++ b/install/mindspore_cpu_install_pip.md @@ -36,8 +36,8 @@ ```bash cd /tmp -curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh -bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b +curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh +bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash @@ -83,10 +83,10 @@ sudo apt-get install gcc-9 -y ### 安装MindSpore -首先参考[版本列表](https://www.mindspore.cn/versions)，选择想要安装的MindSpore版本，并进行SHA-256完整性校验。以2.7.0版本为例，执行以下命令。 +首先参考[版本列表](https://www.mindspore.cn/versions)，选择想要安装的MindSpore版本，并进行SHA-256完整性校验。以2.7.1版本为例，执行以下命令。 ```bash -export MS_VERSION=2.7.0 +export MS_VERSION=2.7.1 ``` 然后执行以下命令安装MindSpore。 diff --git a/install/mindspore_cpu_install_pip_en.md b/install/mindspore_cpu_install_pip_en.md index edbbfd0ba47a85d2037d55b68377f0509db221e5..7e74f9b586266b8fb4b9f1afd9891525e90aecaa 100644 --- a/install/mindspore_cpu_install_pip_en.md +++ b/install/mindspore_cpu_install_pip_en.md @@ -36,8 +36,8 @@ Install Miniconda: ```bash cd /tmp -curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh -bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b +curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh +bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash @@ -83,10 +83,10 @@ sudo apt-get install gcc-9 -y ### Installing MindSpore -First, refer to [Version List](https://www.mindspore.cn/versions) to select the version of MindSpore you want to install, and perform SHA-256 integrity check. Taking version 2.7.0 as an example, execute the following commands. +First, refer to [Version List](https://www.mindspore.cn/versions) to select the version of MindSpore you want to install, and perform SHA-256 integrity check. Taking version 2.7.1 as an example, execute the following commands. ```bash -export MS_VERSION=2.7.0 +export MS_VERSION=2.7.1 ``` Then run the following command to install MindSpore. diff --git a/install/mindspore_cpu_install_source.md b/install/mindspore_cpu_install_source.md index f6265da64c9b85f2e777f067db3279bc7941db87..6e9b47b21782a47751264597d58b2b6653948654 100644 --- a/install/mindspore_cpu_install_source.md +++ b/install/mindspore_cpu_install_source.md @@ -51,8 +51,8 @@ ```bash cd /tmp -curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh -bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b +curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh +bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash diff --git a/install/mindspore_cpu_install_source_en.md b/install/mindspore_cpu_install_source_en.md index 6aad29a8b5e64779c1492b60ffef60bd9f09d744..6f50d6c48f6df49febd6e212fd828b5fb5eeb26e 100644 --- a/install/mindspore_cpu_install_source_en.md +++ b/install/mindspore_cpu_install_source_en.md @@ -49,8 +49,8 @@ Install Miniconda: ```bash cd /tmp -curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh -bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b +curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh +bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash diff --git a/install/mindspore_cpu_mac_install_pip.md b/install/mindspore_cpu_mac_install_pip.md index a1692cf1e28f28858cefc44959e7a18d8daa0afe..e093f41ff0dec47186ce2334279c5be37e9f1681 100644 --- a/install/mindspore_cpu_mac_install_pip.md +++ b/install/mindspore_cpu_mac_install_pip.md @@ -44,10 +44,10 @@ ## 安装MindSpore -首先参考[版本列表](https://www.mindspore.cn/versions)选择想要安装的MindSpore版本，并进行SHA-256完整性校验。以2.7.0版本为例，执行以下命令。 +首先参考[版本列表](https://www.mindspore.cn/versions)选择想要安装的MindSpore版本，并进行SHA-256完整性校验。以2.7.1版本为例，执行以下命令。 ```bash -export MS_VERSION=2.7.0 +export MS_VERSION=2.7.1 ``` 然后执行以下命令安装MindSpore。 diff --git a/install/mindspore_cpu_mac_install_pip_en.md b/install/mindspore_cpu_mac_install_pip_en.md index d3a8140d9d012e4900fc5525e1c75a750f1341c8..79a014f7bfa3c2f97c7a7b9b40f012281517afca 100644 --- a/install/mindspore_cpu_mac_install_pip_en.md +++ b/install/mindspore_cpu_mac_install_pip_en.md @@ -44,10 +44,10 @@ Create a Conda virtual environment based on the Python version you want to use a ## Installing MindSpore -First, refer to [Version List](https://www.mindspore.cn/versions) to select the version of MindSpore you want to install, and perform SHA-256 integrity check. Taking version 2.7.0 as an example, execute the following commands. +First, refer to [Version List](https://www.mindspore.cn/versions) to select the version of MindSpore you want to install, and perform SHA-256 integrity check. Taking version 2.7.1 as an example, execute the following commands. ```bash -export MS_VERSION=2.7.0 +export MS_VERSION=2.7.1 ``` Then run the following command to install MindSpore. diff --git a/install/mindspore_cpu_win_install_pip.md b/install/mindspore_cpu_win_install_pip.md index 59995d256b980385da4a51a20fbe4944cd8eeddf..827cdffdfe6da2d33903439766a367ae973d2df3 100644 --- a/install/mindspore_cpu_win_install_pip.md +++ b/install/mindspore_cpu_win_install_pip.md @@ -21,10 +21,10 @@ ## 安装MindSpore -首先参考[版本列表](https://www.mindspore.cn/versions)选择想要安装的MindSpore版本，并进行SHA-256完整性校验。以2.7.0版本为例，执行以下命令。 +首先参考[版本列表](https://www.mindspore.cn/versions)选择想要安装的MindSpore版本，并进行SHA-256完整性校验。以2.7.1版本为例，执行以下命令。 ```bash -set MS_VERSION=2.7.0 +set MS_VERSION=2.7.1 ``` 然后执行以下命令安装MindSpore。 diff --git a/install/mindspore_cpu_win_install_pip_en.md b/install/mindspore_cpu_win_install_pip_en.md index 90a50eb3e6a488e78e982a1ef35725a85455c134..16802974008a8c73c2b9e2999cd65d00aa430ba5 100644 --- a/install/mindspore_cpu_win_install_pip_en.md +++ b/install/mindspore_cpu_win_install_pip_en.md @@ -21,10 +21,10 @@ This document describes how to install MindSpore by pip on Windows in a CPU envi ## Installing MindSpore -First, refer to [Version List](https://www.mindspore.cn/versions) to select the version of MindSpore you want to install, and perform SHA-256 integrity check. Taking version 2.7.0 as an example, execute the following commands. +First, refer to [Version List](https://www.mindspore.cn/versions) to select the version of MindSpore you want to install, and perform SHA-256 integrity check. Taking version 2.7.1 as an example, execute the following commands. ```bash -set MS_VERSION=2.7.0 +set MS_VERSION=2.7.1 ``` Then run the following command to install MindSpore. diff --git a/install/mindspore_gpu_install_conda.md b/install/mindspore_gpu_install_conda.md index 0f08d90a2e92c18fd4c9150302b6eae462ccff42..6e7534b0363bec5961f129bbc51a88f0192d6f8a 100644 --- a/install/mindspore_gpu_install_conda.md +++ b/install/mindspore_gpu_install_conda.md @@ -91,8 +91,8 @@ sudo chmod a+r /usr/local/cuda-11.6/include/cudnn*.h /usr/local/cuda-11.6/lib64/ ```bash cd /tmp -curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh -bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b +curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh +bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash diff --git a/install/mindspore_gpu_install_conda_en.md b/install/mindspore_gpu_install_conda_en.md index fb0ae2d542b52dc59bbce01308a1484e4f475e36..b59f37f22b6486ed6e267cee52d44c3f80f13387 100644 --- a/install/mindspore_gpu_install_conda_en.md +++ b/install/mindspore_gpu_install_conda_en.md @@ -91,8 +91,8 @@ Run the following command to install Miniconda. ```bash cd /tmp -curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh -bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b +curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh +bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash diff --git a/install/mindspore_gpu_install_nightly.md b/install/mindspore_gpu_install_nightly.md index b60bd40b6c16b9f21e0c642d3602666a0b38a2b2..46f3268c7dc1abed236723b644b92d4db3d938e8 100644 --- a/install/mindspore_gpu_install_nightly.md +++ b/install/mindspore_gpu_install_nightly.md @@ -96,8 +96,8 @@ sudo chmod a+r /usr/local/cuda-11.6/include/cudnn*.h /usr/local/cuda-11.6/lib64/ ```bash cd /tmp - curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh - bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b + curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh + bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash diff --git a/install/mindspore_gpu_install_nightly_en.md b/install/mindspore_gpu_install_nightly_en.md index ac0d1813586fb48b80a32b0093cba4ded2bbe5e4..d5515a16bbf72de95643b782e3dfe84f9a913b5c 100644 --- a/install/mindspore_gpu_install_nightly_en.md +++ b/install/mindspore_gpu_install_nightly_en.md @@ -96,8 +96,8 @@ If a different version of CUDA have been installed or the CUDA installation path ```bash cd /tmp - curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh - bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b + curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh + bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash diff --git a/install/mindspore_gpu_install_pip.md b/install/mindspore_gpu_install_pip.md index 1a9b9ac5408d3fdb9d1b8d0631919a6977f9a3cf..36549683ef8645228ea86fc6ee36e4d3e8999937 100644 --- a/install/mindspore_gpu_install_pip.md +++ b/install/mindspore_gpu_install_pip.md @@ -92,8 +92,8 @@ sudo chmod a+r /usr/local/cuda-11.6/include/cudnn*.h /usr/local/cuda-11.6/lib64/ ```bash cd /tmp - curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh - bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b + curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh + bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash @@ -169,10 +169,10 @@ cd - ### 安装MindSpore -首先参考[版本列表](https://www.mindspore.cn/versions)选择想要安装的MindSpore版本，并进行SHA-256完整性校验。以2.7.0版本为例，执行以下命令。 +首先参考[版本列表](https://www.mindspore.cn/versions)选择想要安装的MindSpore版本，并进行SHA-256完整性校验。以2.7.1版本为例，执行以下命令。 ```bash -export MS_VERSION=2.7.0 +export MS_VERSION=2.7.1 ``` 然后执行以下命令安装MindSpore。 diff --git a/install/mindspore_gpu_install_pip_en.md b/install/mindspore_gpu_install_pip_en.md index 5109a3795e9f5bdeed83942f6f2644c4d1bd3e33..5ef5b8041140601aa524f6f99dba6c28037b0726 100644 --- a/install/mindspore_gpu_install_pip_en.md +++ b/install/mindspore_gpu_install_pip_en.md @@ -92,8 +92,8 @@ If a different version of CUDA have been installed or the CUDA installation path ```bash cd /tmp - curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh - bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b + curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh + bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash @@ -169,10 +169,10 @@ cd - ### Installing MindSpore -First, refer to [Version List](https://www.mindspore.cn/versions) to select the version of MindSpore you want to install, and perform SHA-256 integrity check. Taking version 2.7.0 as an example, execute the following commands. +First, refer to [Version List](https://www.mindspore.cn/versions) to select the version of MindSpore you want to install, and perform SHA-256 integrity check. Taking version 2.7.1 as an example, execute the following commands. ```bash -export MS_VERSION=2.7.0 +export MS_VERSION=2.7.1 ``` Then run the following command to install MindSpore. diff --git a/install/mindspore_gpu_install_source.md b/install/mindspore_gpu_install_source.md index 47bfa331af095ec248588150a08a274986b5f389..d0bae32c7165e21c59b372b6f460401f46ca601a 100644 --- a/install/mindspore_gpu_install_source.md +++ b/install/mindspore_gpu_install_source.md @@ -111,8 +111,8 @@ sudo chmod a+r /usr/local/cuda-11.6/include/cudnn*.h /usr/local/cuda-11.6/lib64/ ```bash cd /tmp - curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh - bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b + curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh + bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash diff --git a/install/mindspore_gpu_install_source_en.md b/install/mindspore_gpu_install_source_en.md index 363f5466068d42b9bfa7dd351c4917671535adb9..4b41db58800c6cf33ca584119c88bd80426bb642 100644 --- a/install/mindspore_gpu_install_source_en.md +++ b/install/mindspore_gpu_install_source_en.md @@ -111,8 +111,8 @@ If a different version of CUDA have been installed or the CUDA installation path ```bash cd /tmp - curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py37_4.10.3-Linux-$(arch).sh - bash Miniconda3-py37_4.10.3-Linux-$(arch).sh -b + curl -O https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39_25.7.0-2-Linux-$(arch).sh + bash Miniconda3-py39_25.7.0-2-Linux-$(arch).sh -b cd - . ~/miniconda3/etc/profile.d/conda.sh conda init bash diff --git a/resource/release/release_list_en.md b/resource/release/release_list_en.md index 9848fff385da62a7c1ef441a23e65ed929e6bd9e..b44353521a63df18c5c38ed654b2588b6c4f6ef3 100644 --- a/resource/release/release_list_en.md +++ b/resource/release/release_list_en.md @@ -3,6 +3,7 @@ - [Release List](#release-list) + - [2.7.1](#271) - [2.7.0](#270) - [2.7.0-rc1](#270-rc1) - [2.6.0](#260) @@ -62,6 +63,32 @@ [![View source on Gitee](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/resource/_static/logo_source_en.svg)](https://gitee.com/mindspore/docs/blob/master/resource/release/release_list_en.md) +## 2.7.1 + +| Module Name | Hardware Platform | Operating System | Python Version | Download Links | SHA-256 | +|-----------|---------------|---------------|------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------| +| MindSpore | Ascend
CPU | Linux-aarch64 | Python3.9 | [mindspore-2.7.1-cp39-cp39-linux_aarch64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/unified/aarch64/mindspore-2.7.1-cp39-cp39-linux_aarch64.whl) | 18edb25e37e4132fa45b6488ddd511d3f0c3e2753b38b949a84c608ff94ae541 | +| | | | Python3.10 | [mindspore-2.7.1-cp310-cp310-linux_aarch64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/unified/aarch64/mindspore-2.7.1-cp310-cp310-linux_aarch64.whl) | 1026e960b8163ebd76be4f4d3a38fd99092e6cc8349e14837d87a8bd713d7bb2 | +| | | | Python3.11 | [mindspore-2.7.1-cp311-cp311-linux_aarch64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/unified/aarch64/mindspore-2.7.1-cp311-cp311-linux_aarch64.whl) | 8aaf9c802143d1469178a8acf171f5f463c511df4e9a22a6869cf1d0ac28a6a0 | +| | Ascend
CPU | Linux-x86_64 | Python3.9 | [mindspore-2.7.1-cp39-cp39-linux_x86_64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/unified/x86_64/mindspore-2.7.1-cp39-cp39-linux_x86_64.whl) | 38e9f73dcd5f8487caaef71815deabbb6cfc6eb16a5eff121df6631870ef0128 | +| | | | Python3.10 | [mindspore-2.7.1-cp310-cp310-linux_x86_64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/unified/x86_64/mindspore-2.7.1-cp310-cp310-linux_x86_64.whl) | 204ee8c41f50b18aea7c3e124e83ba220b1017bc951841a932826d55ee1ed798 | +| | | | Python3.11 | [mindspore-2.7.1-cp311-cp311-linux_x86_64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/unified/x86_64/mindspore-2.7.1-cp311-cp311-linux_x86_64.whl) | 6f889480612e632d43c03a3cae9d48f33a8c2370172a536bed7abc0695be6433 | +| | CPU | Windows-x64 | Python3.9 | [mindspore-2.7.1-cp39-cp39-win_amd64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/x86_64/mindspore-2.7.1-cp39-cp39-win_amd64.whl) | 9fb28d430ab0c9542769e660e625e257234326b23a5618cb55291406a85bf3d4 | +| | | | Python3.10 | [mindspore-2.7.1-cp310-cp310-win_amd64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/x86_64/mindspore-2.7.1-cp310-cp310-win_amd64.whl) | bf297ed55889750caf9350970214783303b4622187a83fe01c4686a296293cb9 | +| | | | Python3.11 | [mindspore-2.7.1-cp311-cp311-win_amd64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/x86_64/mindspore-2.7.1-cp311-cp311-win_amd64.whl) | 20d577fe6448bda0093eb7d0efa61c52e976c0c97f05f13bea92294379d70046 | +| | | MacOS-aarch64 | Python3.9 | [mindspore-2.7.1-cp39-cp39-macosx_11_0_arm64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/aarch64/mindspore-2.7.1-cp39-cp39-macosx_11_0_arm64.whl) | 1fe3ff08ab2740352ef46ccfca18c456821944756f4a7f8423d549c977131a51 | +| | | | Python3.10 | [mindspore-2.7.1-cp310-cp310-macosx_11_0_arm64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/aarch64/mindspore-2.7.1-cp310-cp310-macosx_11_0_arm64.whl) | 9187bc0c655487ab708d9710a00549b08eff6c79166b031041752ebd1b52cb0c | +| | | | Python3.11 | [mindspore-2.7.1-cp311-cp311-macosx_11_0_arm64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/aarch64/mindspore-2.7.1-cp311-cp311-macosx_11_0_arm64.whl) | 50f47cb4f70e0a596447167152298067b420c4d8a5b5ff3ad7e6b97cfb0461ba | +| | | MacOS-x64 | Python3.9 | [mindspore-2.7.1-cp39-cp39-macosx_10_15_x86_64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/x86_64/mindspore-2.7.1-cp39-cp39-macosx_10_15_x86_64.whl) | 450108729596e1fd5b55b85f5a0fce52f66435b4e0f44e027ec445ae08d2c77f | +| | | | Python3.10 | [mindspore-2.7.1-cp310-cp310-macosx_10_15_x86_64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/x86_64/mindspore-2.7.1-cp310-cp310-macosx_10_15_x86_64.whl) | 1c2f22aca36a9eb0d2472fd81e4f78e4df87acfd3210043a271f42c42776ac00 | +| | | | Python3.11 | [mindspore-2.7.1-cp311-cp311-macosx_10_15_x86_64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/x86_64/mindspore-2.7.1-cp311-cp311-macosx_10_15_x86_64.whl) | 18a11196c1282d219a7d408cc70931e3a8bc9504a1f112f78a85d24cb8eeef0d | + +**Ascend Supporting Software Package** + +| Installation guide | Community edition download link | +|--------|------------------| +| [Installation guide(TBD)] | CANN TBD
[firmware and driver](https://www.hiascend.com/hardware/firmware-drivers/community) | + ## 2.7.0 | Module Name | Hardware Platform | Operating System | Python Version | Download Links | SHA-256 | diff --git a/resource/release/release_list_zh_cn.md b/resource/release/release_list_zh_cn.md index 78a237aaf9ddd74e67069e0b11552028c2035e77..d3d2c9fdb465ba37f80c5fa092abdda224e44342 100644 --- a/resource/release/release_list_zh_cn.md +++ b/resource/release/release_list_zh_cn.md @@ -3,6 +3,7 @@ - [发布版本列表](#发布版本列表) + - [2.7.1](#271) - [2.7.0](#270) - [2.7.0-rc1](#270-rc1) - [2.6.0](#260) @@ -62,6 +63,32 @@ [![查看源文件](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/resource/_static/logo_source.svg)](https://gitee.com/mindspore/docs/blob/master/resource/release/release_list_zh_cn.md) +## 2.7.1 + +| 组件 | 硬件平台 | 操作系统 | Python版本 | 链接 | SHA-256 | +|-----------|---------------|---------------|------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------| +| MindSpore | Ascend
CPU | Linux-aarch64 | Python3.9 | [mindspore-2.7.1-cp39-cp39-linux_aarch64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/unified/aarch64/mindspore-2.7.1-cp39-cp39-linux_aarch64.whl) | 18edb25e37e4132fa45b6488ddd511d3f0c3e2753b38b949a84c608ff94ae541 | +| | | | Python3.10 | [mindspore-2.7.1-cp310-cp310-linux_aarch64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/unified/aarch64/mindspore-2.7.1-cp310-cp310-linux_aarch64.whl) | 1026e960b8163ebd76be4f4d3a38fd99092e6cc8349e14837d87a8bd713d7bb2 | +| | | | Python3.11 | [mindspore-2.7.1-cp311-cp311-linux_aarch64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/unified/aarch64/mindspore-2.7.1-cp311-cp311-linux_aarch64.whl) | 8aaf9c802143d1469178a8acf171f5f463c511df4e9a22a6869cf1d0ac28a6a0 | +| | Ascend
CPU | Linux-x86_64 | Python3.9 | [mindspore-2.7.1-cp39-cp39-linux_x86_64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/unified/x86_64/mindspore-2.7.1-cp39-cp39-linux_x86_64.whl) | 38e9f73dcd5f8487caaef71815deabbb6cfc6eb16a5eff121df6631870ef0128 | +| | | | Python3.10 | [mindspore-2.7.1-cp310-cp310-linux_x86_64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/unified/x86_64/mindspore-2.7.1-cp310-cp310-linux_x86_64.whl) | 204ee8c41f50b18aea7c3e124e83ba220b1017bc951841a932826d55ee1ed798 | +| | | | Python3.11 | [mindspore-2.7.1-cp311-cp311-linux_x86_64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/unified/x86_64/mindspore-2.7.1-cp311-cp311-linux_x86_64.whl) | 6f889480612e632d43c03a3cae9d48f33a8c2370172a536bed7abc0695be6433 | +| | CPU | Windows-x64 | Python3.9 | [mindspore-2.7.1-cp39-cp39-win_amd64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/x86_64/mindspore-2.7.1-cp39-cp39-win_amd64.whl) | 9fb28d430ab0c9542769e660e625e257234326b23a5618cb55291406a85bf3d4 | +| | | | Python3.10 | [mindspore-2.7.1-cp310-cp310-win_amd64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/x86_64/mindspore-2.7.1-cp310-cp310-win_amd64.whl) | bf297ed55889750caf9350970214783303b4622187a83fe01c4686a296293cb9 | +| | | | Python3.11 | [mindspore-2.7.1-cp311-cp311-win_amd64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/x86_64/mindspore-2.7.1-cp311-cp311-win_amd64.whl) | 20d577fe6448bda0093eb7d0efa61c52e976c0c97f05f13bea92294379d70046 | +| | | MacOS-aarch64 | Python3.9 | [mindspore-2.7.1-cp39-cp39-macosx_11_0_arm64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/aarch64/mindspore-2.7.1-cp39-cp39-macosx_11_0_arm64.whl) | 1fe3ff08ab2740352ef46ccfca18c456821944756f4a7f8423d549c977131a51 | +| | | | Python3.10 | [mindspore-2.7.1-cp310-cp310-macosx_11_0_arm64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/aarch64/mindspore-2.7.1-cp310-cp310-macosx_11_0_arm64.whl) | 9187bc0c655487ab708d9710a00549b08eff6c79166b031041752ebd1b52cb0c | +| | | | Python3.11 | [mindspore-2.7.1-cp311-cp311-macosx_11_0_arm64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/aarch64/mindspore-2.7.1-cp311-cp311-macosx_11_0_arm64.whl) | 50f47cb4f70e0a596447167152298067b420c4d8a5b5ff3ad7e6b97cfb0461ba | +| | | MacOS-x64 | Python3.9 | [mindspore-2.7.1-cp39-cp39-macosx_10_15_x86_64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/x86_64/mindspore-2.7.1-cp39-cp39-macosx_10_15_x86_64.whl) | 450108729596e1fd5b55b85f5a0fce52f66435b4e0f44e027ec445ae08d2c77f | +| | | | Python3.10 | [mindspore-2.7.1-cp310-cp310-macosx_10_15_x86_64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/x86_64/mindspore-2.7.1-cp310-cp310-macosx_10_15_x86_64.whl) | 1c2f22aca36a9eb0d2472fd81e4f78e4df87acfd3210043a271f42c42776ac00 | +| | | | Python3.11 | [mindspore-2.7.1-cp311-cp311-macosx_10_15_x86_64.whl](https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.7.1/MindSpore/cpu/x86_64/mindspore-2.7.1-cp311-cp311-macosx_10_15_x86_64.whl) | 18a11196c1282d219a7d408cc70931e3a8bc9504a1f112f78a85d24cb8eeef0d | + +**Ascend配套软件包** + +| 安装指引 | 社区版下载地址 | +|--------|------------------| +| [安装指引文档（待发布）] | CANN版本待发布
[固件与驱动](https://www.hiascend.com/hardware/firmware-drivers/community) | + ## 2.7.0 | 组件 | 硬件平台 | 操作系统 | Python版本 | 链接 | SHA-256 |