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Dun Liang 2021-01-27 13:55:26 +08:00
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README.cn.md
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@ -102,7 +102,7 @@ Jittor框架对环境要求如下:
注意：目前Jittor通过WSL的方式在Windows操作系统上运行，WSL的安装方法请参考[微软官网](https://docs.microsoft.com/en-us/windows/wsl/install-win10)，WSL版本目前尚不支持CUDA。
Jittor使用Python和C++编写。 它需要用于即时编译的编译器。当前，我们支持三种编译器：
Jittor 提供了三种安装方法：docker，pip和手动安装：
@ -121,7 +121,7 @@ Jittor使用Python和C++编写。 它需要用于即时编译的编译器。当
# CPU only(Linux)
docker run -it --network host jittor/jittor
# CPU and CUDA(Linux)
docker run -it --network host jittor/jittor-cuda
docker run -it --network host --gpus all jittor/jittor-cuda
# CPU only(Mac and Windows)
docker run -it -p 8888:8888 jittor/jittor
```
@ -215,7 +215,7 @@ jt.flags.use_cuda = 1
### 可选步骤五：测试训练Resnet18
要检查Jittor的完整性，您可以运行Resnet18训练测试。
要检查Jittor的完整性，您可以运行Resnet18训练测试。需要注意的是，这个测试需要6G显存。
```bash
python3.7 -m jittor.test.test_resnet

4
README.md
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@ -120,7 +120,7 @@ We provide a Docker installation method to save you from configuring the environ
# CPU only(Linux)
docker run -it --network host jittor/jittor
# CPU and CUDA(Linux)
docker run -it --network host jittor/jittor-cuda
docker run -it --network host --gpus all jittor/jittor-cuda
# CPU only(Mac and Windows)
docker run -it -p 8888:8888 jittor/jittor
```
@ -208,7 +208,7 @@ jt.flags.use_cuda = 1
### Optional Step 5: Test Resnet18 training
To check the integrity of Jittor, you can run Resnet18 training test.
To check the integrity of Jittor, you can run Resnet18 training test. Note: 6G GPU RAM is requires in this test.
```bash

8
README.src.md
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@ -126,7 +126,7 @@ Jittor框架对环境要求如下:
注意：目前Jittor通过WSL的方式在Windows操作系统上运行，WSL的安装方法请参考[微软官网](https://docs.microsoft.com/en-us/windows/wsl/install-win10)，WSL版本目前尚不支持CUDA。
Jittor使用Python和C++编写。 它需要用于即时编译的编译器。当前，我们支持三种编译器：
Jittor 提供了三种安装方法：docker，pip和手动安装：
Jittor environment requirements:
@ -158,7 +158,7 @@ We provide a Docker installation method to save you from configuring the environ
# CPU only(Linux)
docker run -it --network host jittor/jittor
# CPU and CUDA(Linux)
docker run -it --network host jittor/jittor-cuda
docker run -it --network host --gpus all jittor/jittor-cuda
# CPU only(Mac and Windows)
docker run -it -p 8888:8888 jittor/jittor
```
@ -264,9 +264,9 @@ jt.flags.use_cuda = 1
### 可选步骤五：测试训练Resnet18
To check the integrity of Jittor, you can run Resnet18 training test.
To check the integrity of Jittor, you can run Resnet18 training test. Note: 6G GPU RAM is requires in this test.
要检查Jittor的完整性，您可以运行Resnet18训练测试。
要检查Jittor的完整性，您可以运行Resnet18训练测试。需要注意的是，这个测试需要6G显存。
```bash
python3.7 -m jittor.test.test_resnet