Fix DJL model loading error caused by missing PyTorch dependencies

This commit resolves an issue where DJL (Deep Java Library) attempts to download PyTorch dependencies during runtime. Added explicit dependency management for DJL version 0.30.0, including the following modules:
   - pytorch-native-cpu
   - pytorch-jni
   - pytorch-engine

parent/pom.xml

@@ -18,6 +18,19 @@
     </repository>
   </repositories>
 
+
+  <dependencyManagement>
+    <dependencies>
+      <dependency>
+        <groupId>ai.djl</groupId>
+        <artifactId>bom</artifactId>
+        <version>0.30.0</version>
+        <type>pom</type>
+        <scope>import</scope>
+      </dependency>
+    </dependencies>
+  </dependencyManagement>
+
   <dependencies>
     <!-- https://mvnrepository.com/artifact/junit/junit -->
     <dependency>
@@ -52,12 +65,40 @@
       <version>0.30.0</version>
       <scope>compile</scope>
     </dependency>
+
     <dependency>
       <groupId>ai.djl.pytorch</groupId>
       <artifactId>pytorch-model-zoo</artifactId>
       <version>0.30.0</version>
     </dependency>
 
+    <dependency>
+      <groupId>ai.djl.pytorch</groupId>
+      <artifactId>pytorch-engine</artifactId>
+      <version>0.30.0</version>
+      <scope>runtime</scope>
+    </dependency>
+
+    <dependency>
+      <groupId>ai.djl.pytorch</groupId>
+      <artifactId>pytorch-native-cpu</artifactId>
+      <classifier>linux-x86_64</classifier>
+      <scope>runtime</scope>
+      <version>2.4.0</version>
+    </dependency>
+
+    <dependency>
+      <groupId>ai.djl.pytorch</groupId>
+      <artifactId>pytorch-jni</artifactId>
+      <version>2.4.0-0.30.0</version>
+      <scope>runtime</scope>
+    </dependency>
+
+    <dependency>
+      <groupId>ai.djl</groupId>
+      <artifactId>api</artifactId>
+    </dependency>
+
   </dependencies>
 
   <build>