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Unverified Commit 3230793b authored by Xiaomeng Zhao's avatar Xiaomeng Zhao Committed by GitHub
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Merge pull request #2440 from myhloli/dev 

docs(installation): update Python version and CUDA installation instructions
parents 6c9645aa 9f0d45bb
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README.md
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......@@ -355,7 +355,7 @@ There are three different ways to experience MinerU:
</tr>
<tr>
<td colspan="3">Python Version</td>
<td colspan="3">>=3.10</td>
<td colspan="3">3.10~3.13</td>
</tr>
<tr>
<td colspan="3">Nvidia Driver Version</td>
......@@ -365,8 +365,7 @@ There are three different ways to experience MinerU:
</tr>
<tr>
<td colspan="3">CUDA Environment</td>
<td>11.8/12.4/12.6/12.8</td>
<td>11.8/12.4/12.6/12.8</td>
<td colspan="2"><a href="https://pytorch.org/get-started/locally/">Refer to the PyTorch official website</a></td>
<td>None</td>
</tr>
<tr>
......@@ -397,7 +396,7 @@ Synced with dev branch updates:
#### 1. Install magic-pdf
```bash
conda create -n mineru 'python>=3.10' -y
conda create -n mineru 'python=3.12' -y
conda activate mineru
pip install -U "magic-pdf[full]"
```
......
README_zh-CN.md
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......@@ -344,7 +344,7 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
</tr>
<tr>
<td colspan="3">python版本</td>
<td colspan="3">>=3.10</td>
<td colspan="3">3.10~3.13</td>
</tr>
<tr>
<td colspan="3">Nvidia Driver 版本</td>
......@@ -354,8 +354,7 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
</tr>
<tr>
<td colspan="3">CUDA环境</td>
<td>11.8/12.4/12.6/12.8</td>
<td>11.8/12.4/12.6/12.8</td>
<td colspan="2"><a href="https://pytorch.org/get-started/locally/">Refer to the PyTorch official website</a></td>
<td>None</td>
</tr>
<tr>
......@@ -390,7 +389,7 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
> 最新版本国内镜像源同步可能会有延迟，请耐心等待
```bash
conda create -n mineru 'python>=3.10' -y
conda create -n mineru 'python=3.12' -y
conda activate mineru
pip install -U "magic-pdf[full]" -i https://mirrors.aliyun.com/pypi/simple
```
......
docs/README_Ubuntu_CUDA_Acceleration_en_US.md
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......@@ -54,7 +54,7 @@ In the final step, enter `yes`, close the terminal, and reopen it.
### 4. Create an Environment Using Conda
```bash
conda create -n mineru 'python>=3.10' -y
conda create -n mineru 'python=3.12' -y
conda activate mineru
```
......
docs/README_Ubuntu_CUDA_Acceleration_zh_CN.md
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......@@ -54,7 +54,7 @@ bash Anaconda3-2024.06-1-Linux-x86_64.sh
## 4. 使用conda 创建环境
```bash
conda create -n mineru 'python>=3.10' -y
conda create -n mineru 'python=3.12' -y
conda activate mineru
```
......
docs/README_Windows_CUDA_Acceleration_en_US.md
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......@@ -2,11 +2,12 @@
### 1. Install CUDA and cuDNN
You need to install a CUDA version that is compatible with torch's requirements. Currently, torch supports CUDA 11.8/12.4/12.6.
You need to install a CUDA version that is compatible with torch's requirements. For details, please refer to the [official PyTorch website](https://pytorch.org/get-started/locally/).
- CUDA 11.8 https://developer.nvidia.com/cuda-11-8-0-download-archive
- CUDA 12.4 https://developer.nvidia.com/cuda-12-4-0-download-archive
- CUDA 12.6 https://developer.nvidia.com/cuda-12-6-0-download-archive
- CUDA 12.8 https://developer.nvidia.com/cuda-12-8-0-download-archive
### 2. Install Anaconda
......@@ -17,7 +18,7 @@ Download link: https://repo.anaconda.com/archive/Anaconda3-2024.06-1-Windows-x86
### 3. Create an Environment Using Conda
```bash
conda create -n mineru 'python>=3.10' -y
conda create -n mineru 'python=3.12' -y
conda activate mineru
```
......
docs/README_Windows_CUDA_Acceleration_zh_CN.md
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# Windows10/11
## 1. 安装cuda和cuDNN
## 1. 安装cuda环境
需要安装符合torch要求的cuda版本，torch目前支持11.8/12.4/12.6
需要安装符合torch要求的cuda版本，具体可参考[torch官网](https://pytorch.org/get-started/locally/)
- CUDA 11.8 https://developer.nvidia.com/cuda-11-8-0-download-archive
- CUDA 12.4 https://developer.nvidia.com/cuda-12-4-0-download-archive
- CUDA 12.6 https://developer.nvidia.com/cuda-12-6-0-download-archive
- CUDA 12.8 https://developer.nvidia.com/cuda-12-8-0-download-archive
## 2. 安装anaconda
......@@ -18,7 +19,7 @@ https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda3-2024.06-1-Window
## 3. 使用conda 创建环境
```bash
conda create -n mineru 'python>=3.10' -y
conda create -n mineru 'python=3.12' -y
conda activate mineru
```
......
next_docs/en/user_guide/install/boost_with_cuda.rst
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......@@ -76,11 +76,11 @@ In the final step, enter ``yes``, close the terminal, and reopen it.
4. Create an Environment Using Conda
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Specify Python version 3.10.
Specify Python version 3.10～3.13.
.. code:: sh
conda create -n mineru 'python>=3.10' -y
conda create -n mineru 'python=3.12' -y
conda activate mineru
5. Install Applications
......@@ -155,14 +155,15 @@ to test CUDA acceleration:
Windows 10/11
--------------
1. Install CUDA and cuDNN
1. Install CUDA
~~~~~~~~~~~~~~~~~~~~~~~~~
You need to install a CUDA version that is compatible with torch's requirements. Currently, torch supports CUDA 11.8/12.4/12.6.
You need to install a CUDA version that is compatible with torch's requirements. For details, please refer to the [official PyTorch website](https://pytorch.org/get-started/locally/).
- CUDA 11.8 https://developer.nvidia.com/cuda-11-8-0-download-archive
- CUDA 12.4 https://developer.nvidia.com/cuda-12-4-0-download-archive
- CUDA 12.6 https://developer.nvidia.com/cuda-12-6-0-download-archive
- CUDA 12.8 https://developer.nvidia.com/cuda-12-8-0-download-archive
2. Install Anaconda
......@@ -177,7 +178,7 @@ Download link: https://repo.anaconda.com/archive/Anaconda3-2024.06-1-Windows-x86
::
conda create -n mineru 'python>=3.10' -y
conda create -n mineru 'python=3.12' -y
conda activate mineru
4. Install Applications
......
next_docs/en/user_guide/install/install.rst
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......@@ -61,7 +61,7 @@ Also you can try `online demo <https://www.modelscope.cn/studios/OpenDataLab/Min
</tr>
<tr>
<td colspan="3">Python Version</td>
<td colspan="3">3.10~3.12</td>
<td colspan="3">3.10~3.13</td>
</tr>
<tr>
<td colspan="3">Nvidia Driver Version</td>
......@@ -71,8 +71,7 @@ Also you can try `online demo <https://www.modelscope.cn/studios/OpenDataLab/Min
</tr>
<tr>
<td colspan="3">CUDA Environment</td>
<td>11.8/12.4/12.6/12.8</td>
<td>11.8/12.4/12.6/12.8</td>
<td colspan="2"><a href="https://pytorch.org/get-started/locally/">Refer to the PyTorch official website</a></td>
<td>None</td>
</tr>
<tr>
......@@ -97,7 +96,7 @@ Create an environment
.. code-block:: shell
conda create -n mineru 'python>=3.10' -y
conda create -n mineru 'python=3.12' -y
conda activate mineru
pip install -U "magic-pdf[full]"
......
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