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Increase build version to 0.31.0 #3475

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Sep 18, 2024
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Increase build version to 0.31.0 #3475

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2 changes: 1 addition & 1 deletion api/README.md
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Expand Up @@ -45,7 +45,7 @@ For testing the current nightly build, use the following:
<dependency>
<groupId>ai.djl</groupId>
<artifactId>api</artifactId>
<version>0.30.0-SNAPSHOT</version>
<version>0.31.0-SNAPSHOT</version>
</dependency>
```

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2 changes: 1 addition & 1 deletion docs/get.md
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Expand Up @@ -99,7 +99,7 @@ dependencies {
implementation platform("ai.djl:bom:<UPCOMING VERSION>-SNAPSHOT")
}
```
Currently, the `<UPCOMING VERSION> = 0.30.0`.
Currently, the `<UPCOMING VERSION> = 0.31.0`.
This snapshot version is the same as the custom DJL repository.

You also need to change directory to `djl/bom`. Then build and publish it to maven local same as what was done in `djl`.
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1 change: 1 addition & 0 deletions engines/pytorch/pytorch-engine/README.md
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Expand Up @@ -51,6 +51,7 @@ The following table illustrates which pytorch version that DJL supports:

| PyTorch engine version | PyTorch native library version |
|------------------------|-------------------------------------------|
| pytorch-engine:0.31.0 | 1.13.1, 2.1.2, 2.3.1, **2.4.0** |
| pytorch-engine:0.30.0 | 1.13.1, 2.1.2, 2.3.1, **2.4.0** |
| pytorch-engine:0.29.0 | 1.13.1, 2.1.2, 2.2.2, **2.3.1** |
| pytorch-engine:0.28.0 | 1.13.1, 2.1.2, **2.2.2** |
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4 changes: 2 additions & 2 deletions examples/pom.xml
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Expand Up @@ -5,12 +5,12 @@

<groupId>ai.djl</groupId>
<artifactId>examples</artifactId>
<version>0.30.0-SNAPSHOT</version>
<version>0.31.0-SNAPSHOT</version>

<properties>
<maven.compiler.source>11</maven.compiler.source>
<maven.compiler.target>11</maven.compiler.target>
<djl.version>0.30.0-SNAPSHOT</djl.version>
<djl.version>0.31.0-SNAPSHOT</djl.version>
<exec.mainClass>ai.djl.examples.inference.cv.ObjectDetection</exec.mainClass>
</properties>

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2 changes: 1 addition & 1 deletion gradle/libs.versions.toml
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Expand Up @@ -2,7 +2,7 @@
format.version = "1.1"

[versions]
djl = "0.30.0"
djl = "0.31.0"
pytorch = "2.4.0"
tensorflow = "2.16.1"
tensorflowCore = "1.0.0-rc.1"
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