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12 changes: 6 additions & 6 deletions engines/pytorch/pytorch-engine/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -163,12 +163,12 @@ installed on your GPU machine, you can use one of the following library:
#### Linux GPU

- ai.djl.pytorch:pytorch-jni:2.1.1-0.26.0
- ai.djl.pytorch:pytorch-native-cu118:2.1.1:linux-x86_64 - CUDA 11.8
- ai.djl.pytorch:pytorch-native-cu121:2.1.1:linux-x86_64 - CUDA 12.1

```xml
<dependency>
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-native-cu118</artifactId>
<artifactId>pytorch-native-cu121</artifactId>
<classifier>linux-x86_64</classifier>
<version>2.1.1</version>
<scope>runtime</scope>
Expand Down Expand Up @@ -229,13 +229,13 @@ We also provide packages for the system like CentOS 7/Ubuntu 14.04 with GLIBC >=
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:2.1.1-0.26.0
- ai.djl.pytorch:pytorch-native-cu118-precxx11:2.1.1:linux-x86_64 - CUDA 11.8
- ai.djl.pytorch:pytorch-native-cu121-precxx11:2.1.1:linux-x86_64 - CUDA 12.1
- ai.djl.pytorch:pytorch-native-cpu-precxx11:2.1.1:linux-x86_64 - CPU

```xml
<dependency>
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-native-cu118-precxx11</artifactId>
<artifactId>pytorch-native-cu121-precxx11</artifactId>
<classifier>linux-x86_64</classifier>
<version>2.1.1</version>
<scope>runtime</scope>
Expand Down Expand Up @@ -275,12 +275,12 @@ For the Windows platform, you can choose between CPU and GPU.
#### Windows GPU

- ai.djl.pytorch:pytorch-jni:2.1.1-0.26.0
- ai.djl.pytorch:pytorch-native-cu118:2.1.1:win-x86_64 - CUDA 11.8
- ai.djl.pytorch:pytorch-native-cu121:2.1.1:win-x86_64 - CUDA 12.1

```xml
<dependency>
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-native-cu118</artifactId>
<artifactId>pytorch-native-cu121</artifactId>
<classifier>win-x86_64</classifier>
<version>2.1.1</version>
<scope>runtime</scope>
Expand Down