# MindSpore

**Repository Path**: ZavierXie/mindspore

## Basic Information

- **Project Name**: MindSpore
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-06-06
- **Last Updated**: 2024-07-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## MindSpore

### 环境配置

- [Windows](###Windows)
- [Linux](###Linux)



### 网络模型

- [ResNet-50](ResNet50/note.md)
- [Bayesian](Bayesian/note.md)

### P

- [Camera](Camera/note.md)































### Windows

#### 环境配置

- Python == 3.9.19

  > anaconda环境配置
  >
  > ```shell
  > # prompt
  > # 创建环境
  > conda create -n "env_name" python="version"
  > 
  > # 等待自动安装
  > # 激活环境
  > conda activate "env_name"
  > # 安装库
  > pip install "package_name"(=="version")
  > conda install "package_name"(=="version")
  > ```
  >
  > ```shell
  > # 检查环境列表
  > conda env list
  > # 检查python版本
  > python --version
  > # 进入python
  > python
  > ```

- MindSpore == 2.2.14

  > 安装MindSpore
  >
  > ```shell
  > pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.2.14/MindSpore/cpu/x86_64/mindspore-2.2.14-cp39-cp39-win_amd64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
  > ```
  >
  > <img src="README.assets/image-20240608161707237.png" alt="image-20240608161707237" style="zoom: 50%;" />
  >
  > ```
  > # 检查安装
  > import mindspore
  > 
  > mindspore.set_context(device_target='GPU')
  > mindspore.run_check()
  > ```
  >
  > <img src="README.assets/image-20240609010909495.png" alt="image-20240609010909495" style="zoom: 50%;" />





### Linux

#### 环境配置

- CUDA == 11.1

  > ```shell
  > nvcc -V
  > ```
  >
  > ![image-20240609005516403](README.assets/image-20240609005516403-1719366370617.png)

- cuDNN == 8.0.5

  > [安装链接](https://developer.nvidia.com/rdp/cudnn-archive)
  >
  > ```shell
  > # 解压
  > tar -zxvf cudnn.tgz
  > sudo cp cuda/include/cudnn*.h /usr/local/cuda-11.1/include
  > sudo cp cuda/lib64/libcudnn* /usr/local/cuda-11.1/lib64
  > sudo chmod a+r /usr/local/cuda-11.1/include/cudnn*.h /usr/local/cuda-11.1/lib64/libcudnn*
  > 
  > # 查询版本
  > cat /usr/local/cuda-11.1/include/cudnn_version.h | grep CUDNN_MAJOR -A 2
  > ```
  >
  > <img src="README.assets/image-20240609005544529.png" alt="image-20240609005544529" style="zoom:80%;" />

- Python == 3.8.10

  > ```shell
  > python --version
  > ```
  >
  > ![image-20240609005636427](README.assets/image-20240609005636427-1719366370618.png)

- GCC == 7

  > ```shell
  > gcc --version
  > ```
  >
  > <img src="README.assets/image-20240609005702555.png" alt="image-20240609005702555" style="zoom:80%;" />

- MindSpore == 2.2.14

  > ```shell
  > pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.2.14/MindSpore/unified/x86_64/mindspore-2.2.14-cp38-cp38-linux_x86_64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
  > ```
  >
  > ```python
  > # 检查安装
  > import mindspore
  > 
  > mindspore.set_context(device_target='GPU')
  > mindspore.run_check()
  > ```
  >
  > <img src="README.assets/image-20240609005825490.png" alt="image-20240609005825490" style="zoom:80%;" />