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Update pytorch jni docs versions
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@zachgk
zachgk committed May 9, 2022
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30 changes: 15 additions & 15 deletions engines/pytorch/pytorch-engine/README.md
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Expand Up @@ -69,7 +69,7 @@ You can choose a native library based on your platform if you don't have network
### macOS
For macOS, you can use the following library:

- ai.djl.pytorch:pytorch-jni:1.10.0-0.17.0
- ai.djl.pytorch:pytorch-jni:1.11.0-0.17.0
- ai.djl.pytorch:pytorch-native-cpu:1.10.0:osx-x86_64

```xml
Expand All @@ -83,7 +83,7 @@ For macOS, you can use the following library:
<dependency>
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-native-jni</artifactId>
<version>1.10.0-0.17.0</version>
<version>1.11.0-0.17.0</version>
<scope>runtime</scope>
</dependency>
```
Expand All @@ -94,7 +94,7 @@ installed on your GPU machine, you can use one of the following library:

#### Linux GPU

- ai.djl.pytorch:pytorch-jni:1.10.0-0.17.0
- ai.djl.pytorch:pytorch-jni:1.11.0-0.17.0
- ai.djl.pytorch:pytorch-native-cu113:1.10.0:linux-x86_64 - CUDA 11.3
- ai.djl.pytorch:pytorch-native-cu102:1.10.0:linux-x86_64 - CUDA 10.2

Expand All @@ -109,7 +109,7 @@ installed on your GPU machine, you can use one of the following library:
<dependency>
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-jni</artifactId>
<version>1.10.0-0.17.0</version>
<version>1.11.0-0.17.0</version>
<scope>runtime</scope>
</dependency>
```
Expand All @@ -125,14 +125,14 @@ installed on your GPU machine, you can use one of the following library:
<dependency>
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-jni</artifactId>
<version>1.10.0-0.17.0</version>
<version>1.11.0-0.17.0</version>
<scope>runtime</scope>
</dependency>
```

### Linux CPU

- ai.djl.pytorch:pytorch-jni:1.10.0-0.17.0
- ai.djl.pytorch:pytorch-jni:1.11.0-0.17.0
- ai.djl.pytorch:pytorch-native-cpu:1.10.0:linux-x86_64

```xml
Expand All @@ -146,7 +146,7 @@ installed on your GPU machine, you can use one of the following library:
<dependency>
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-jni</artifactId>
<version>1.10.0-0.17.0</version>
<version>1.11.0-0.17.0</version>
<scope>runtime</scope>
</dependency>
```
Expand All @@ -156,7 +156,7 @@ installed on your GPU machine, you can use one of the following library:
We also provide packages for the system like CentOS 7/Ubuntu 14.04 with GLIBC >= 2.17.
All the package were built with GCC 7, we provided a newer `libstdc++.so.6.24` in the package that contains `CXXABI_1.3.9` to use the package successfully.

- ai.djl.pytorch:pytorch-jni:1.10.0-0.17.0
- ai.djl.pytorch:pytorch-jni:1.11.0-0.17.0
- ai.djl.pytorch:pytorch-native-cu113-precxx11:1.10.0:linux-x86_64 - CUDA 11.3
- ai.djl.pytorch:pytorch-native-cpu-precxx11:1.10.0:linux-x86_64 - CPU

Expand All @@ -171,7 +171,7 @@ All the package were built with GCC 7, we provided a newer `libstdc++.so.6.24` i
<dependency>
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-jni</artifactId>
<version>1.10.0-0.17.0</version>
<version>1.11.0-0.17.0</version>
<scope>runtime</scope>
</dependency>
```
Expand All @@ -187,7 +187,7 @@ All the package were built with GCC 7, we provided a newer `libstdc++.so.6.24` i
<dependency>
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-jni</artifactId>
<version>1.10.0-0.17.0</version>
<version>1.11.0-0.17.0</version>
<scope>runtime</scope>
</dependency>
```
Expand All @@ -202,7 +202,7 @@ For the Windows platform, you can choose between CPU and GPU.

#### Windows GPU

- ai.djl.pytorch:pytorch-jni:1.10.0-0.17.0
- ai.djl.pytorch:pytorch-jni:1.11.0-0.17.0
- ai.djl.pytorch:pytorch-native-cu113:1.10.0:win-x86_64
- ai.djl.pytorch:pytorch-native-cu102:1.10.0:win-x86_64

Expand All @@ -217,7 +217,7 @@ For the Windows platform, you can choose between CPU and GPU.
<dependency>
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-jni</artifactId>
<version>1.10.0-0.17.0</version>
<version>1.11.0-0.17.0</version>
<scope>runtime</scope>
</dependency>
```
Expand All @@ -233,14 +233,14 @@ For the Windows platform, you can choose between CPU and GPU.
<dependency>
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-jni</artifactId>
<version>1.10.0-0.17.0</version>
<version>1.11.0-0.17.0</version>
<scope>runtime</scope>
</dependency>
```

### Windows CPU

- ai.djl.pytorch:pytorch-jni:1.10.0-0.17.0
- ai.djl.pytorch:pytorch-jni:1.11.0-0.17.0
- ai.djl.pytorch:pytorch-native-cpu:1.10.0:win-x86_64

```xml
Expand All @@ -254,7 +254,7 @@ For the Windows platform, you can choose between CPU and GPU.
<dependency>
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-jni</artifactId>
<version>1.10.0-0.17.0</version>
<version>1.11.0-0.17.0</version>
<scope>runtime</scope>
</dependency>
```

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