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JittorMirror
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fix install error

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Dun Liang 2020-03-20 17:58:34 +08:00
parent 11c6a89dcc
commit 599051d153
3 changed files with 11 additions and 11 deletions
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6
README.cn.md
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@ -94,13 +94,13 @@ Jittor 一共提供三种方式安装: pip安装, 一键脚本安装 和 手动
(如果无法访问github, 可以通过jittor主页下载): (如果无法访问github, 可以通过jittor主页下载):
```bash ```bash
sudo apt install python-dev libomp-dev sudo apt install python3.7-dev libomp-dev
sudo pip install https://github.com/Jittor/jittor.git sudo python3.7 -m pip install git+https://github.com/Jittor/jittor.git
# if you cannot access github, please download code from our website: # if you cannot access github, please download code from our website:
# wget https://cg.cs.tsinghua.edu.cn/jittor/assets/build/jittor.tgz # wget https://cg.cs.tsinghua.edu.cn/jittor/assets/build/jittor.tgz
# mkdir -p jittor && tar -xvf ./jittor.tgz -C jittor # mkdir -p jittor && tar -xvf ./jittor.tgz -C jittor
# sudo pip install ./jittor # sudo pip install ./jittor
python3 -m jittor.test.test_example python3.7 -m jittor.test.test_example
``` ```
如果测试运行通过,恭喜你已经安装完成. 如果测试运行通过,恭喜你已经安装完成.

10
README.md
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@ -6,7 +6,7 @@
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just-in-time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code with specialized for your model. Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just-in-time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code with specialized for your model.
The front-end language is Python. Module Design is used in the front-end, like PyTorch and Keras. The back-end is implemented with high performance languages, such as CUDA,C++. The front-end language is Python. Module Design is used in the front-end, like PyTorch and Keras. The back-end is implemented py high performance language, such as CUDA,C++.
The following example shows how to model a two-layer neural network step by step and train from scratch In a few lines of Python code. The following example shows how to model a two-layer neural network step by step and train from scratch In a few lines of Python code.
@ -88,13 +88,13 @@ Jittor offers three ways to install: pip, script or manual.
```bash ```bash
sudo apt install python-dev libomp-dev sudo apt install python3.7-dev libomp-dev
sudo pip install git+https://github.com/Jittor/jittor.git sudo python3.7 -m pip install git+https://github.com/Jittor/jittor.git
# if you cannot access github, please download code from our website: # if you cannot access github, please download code from our website:
# wget https://cg.cs.tsinghua.edu.cn/jittor/assets/build/jittor.tgz # wget https://cg.cs.tsinghua.edu.cn/jittor/assets/build/jittor.tgz
# mkdir -p jittor && tar -xvf ./jittor.tgz -C jittor # mkdir -p jittor && tar -xvf ./jittor.tgz -C jittor
# sudo pip install ./jittor # sudo pip install ./jittor
python3 -m jittor.test.test_example python3.7 -m jittor.test.test_example
``` ```
@ -235,7 +235,7 @@ print(c.name())
# Output: c # Output: c
``` ```
### Operations ###Operations
Jittor'op is simular with numpy. Let's try some operations. We create Var `a` and `b` via operation `jt.float32`, and add them. Printing those variables shows they have the same shape and dtype. Jittor'op is simular with numpy. Let's try some operations. We create Var `a` and `b` via operation `jt.float32`, and add them. Printing those variables shows they have the same shape and dtype.

6
README.src.md
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@ -120,13 +120,13 @@ Jittor 一共提供三种方式安装: pip安装, 一键脚本安装 和 手动
(如果无法访问github, 可以通过jittor主页下载): (如果无法访问github, 可以通过jittor主页下载):
```bash ```bash
sudo apt install python-dev libomp-dev sudo apt install python3.7-dev libomp-dev
sudo pip install https://github.com/Jittor/jittor.git sudo python3.7 -m pip install git+https://github.com/Jittor/jittor.git
# if you cannot access github, please download code from our website: # if you cannot access github, please download code from our website:
# wget https://cg.cs.tsinghua.edu.cn/jittor/assets/build/jittor.tgz # wget https://cg.cs.tsinghua.edu.cn/jittor/assets/build/jittor.tgz
# mkdir -p jittor && tar -xvf ./jittor.tgz -C jittor # mkdir -p jittor && tar -xvf ./jittor.tgz -C jittor
# sudo pip install ./jittor # sudo pip install ./jittor
python3 -m jittor.test.test_example python3.7 -m jittor.test.test_example
``` ```
如果测试运行通过,恭喜你已经安装完成. 如果测试运行通过,恭喜你已经安装完成.