# cupy_learning

**Repository Path**: kin-zhang/cupy_learning

## Basic Information

- **Project Name**: cupy_learning
- **Description**: cupy学习代码，请配合博客阅读
- **Primary Language**: Unknown
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-02-07
- **Last Updated**: 2023-02-09

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# cupy_learning



Please check the following blogs:

- CSDN
- 博客园



## 依赖 Install

CuDNN official install manual: https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html


[TODO make detail] Here is the Example on my computer:

Download `.deb` from https://developer.nvidia.com/rdp/cudnn-archive

```bash
sudo dpkg -i libcudnn8_8.2.1.32-1+cuda11.3_amd64.deb
sudo apt-get install libcudnn8 libcudnn8-dev libcudnn8-samples
```

Tested if you are successfully installed:
```bash
cp -r /usr/src/cudnn_samples_v8/ $HOME
cd  $HOME/cudnn_samples_v8/mnistCUDNN
make clean && make
./mnistCUDNN
```
If cuDNN is properly installed and running on your Linux system, you will see a message similar to the following:
```bash
Test passed!
```

For python to run, one more step:
```bash
pip install cupy-cuda11x

# based on my env
pip install cupy-cuda113
```