Prepare for next iteration (post RC2)

README.md

@@ -58,6 +58,7 @@ only binaries for the followings are being **supported and distributed** by this
 
 - `linux-x86_64`: Linux platforms on Intel/AMD chips
 - `linux-x86_64-gpu`: Linux platforms on Intel/AMD chips with Cuda GPU support
+- `linux-arm64`: Linux platforms on Arm chips
 - `macosx-x86_64`: MacOS X platforms on Intel/AMD chips
 - `macosx-arm64`: MacOS X platforms on Apple Silicon chips
 - `windows-x86_64`: Windows platforms on Intel/AMD chips
@@ -68,12 +69,12 @@ systems with no GPU support, you should add the following dependencies:
 <dependency>
   <groupId>org.tensorflow</groupId>
   <artifactId>tensorflow-core-api</artifactId>
-  <version>1.0.0-rc.1</version>
+  <version>1.0.0-rc.2</version>
 </dependency>
 <dependency>
   <groupId>org.tensorflow</groupId>
   <artifactId>tensorflow-core-native</artifactId>
-  <version>1.0.0-rc.1</version>
+  <version>1.0.0-rc.2</version>
   <classifier>linux-x86_64</classifier>
 </dependency>
 ```
@@ -84,24 +85,24 @@ native dependencies as follows:
 <dependency>
   <groupId>org.tensorflow</groupId>
   <artifactId>tensorflow-core-api</artifactId>
-  <version>1.0.0-rc.1</version>
+  <version>1.0.0-rc.2</version>
 </dependency>
 <dependency>
   <groupId>org.tensorflow</groupId>
   <artifactId>tensorflow-core-native</artifactId>
-  <version>1.0.0-rc.1</version>
+  <version>1.0.0-rc.2</version>
   <classifier>linux-x86_64-gpu</classifier>
 </dependency>
 <dependency>
   <groupId>org.tensorflow</groupId>
   <artifactId>tensorflow-core-native</artifactId>
-  <version>1.0.0-rc.1</version>
+  <version>1.0.0-rc.2</version>
   <classifier>macosx-arm64</classifier>
 </dependency>
 <dependency>
   <groupId>org.tensorflow</groupId>
   <artifactId>tensorflow-core-native</artifactId>
-  <version>1.0.0-rc.1</version>
+  <version>1.0.0-rc.2</version>
   <classifier>windows-x86_64</classifier>
 </dependency>
 ```
@@ -122,7 +123,7 @@ simply add this dependency to your application:
 <dependency>
   <groupId>org.tensorflow</groupId>
   <artifactId>tensorflow-core-platform</artifactId>
-  <version>1.0.0-rc.1</version>
+  <version>1.0.0-rc.2</version>
 </dependency>
 ```
 
@@ -173,7 +174,8 @@ This table shows the mapping between TensorFlow, TensorFlow Java and minimum sup
 | 0.4.2                   | 2.7.4              | 8 |
 | 0.5.0                   | 2.10.1             | 11 |
 | 1.0.0-rc.1              | 2.16.1             | 11 |
-| 1.0.0-SNAPSHOT          | 2.16.1             | 11 |
+| 1.0.0-rc.2              | 2.16.2             | 11 |
+| 1.0.0-SNAPSHOT          | 2.16.2             | 11 |
 
 ## How to Contribute?
 

docs/install.md

@@ -58,7 +58,7 @@ For example,
 <dependency>
   <groupId>org.tensorflow</groupId>
   <artifactId>tensorflow-core-platform</artifactId>
-  <version>1.0.0-rc.1</version>
+  <version>1.0.0-rc.2</version>
 </dependency>
 ```
 
@@ -164,7 +164,7 @@ add the TensorFlow dependency to the project's `pom.xml` file:
         <dependency>
             <groupId>org.tensorflow</groupId>
             <artifactId>tensorflow-core-platform</artifactId>
-            <version>1.0.0-rc.1</version>
+            <version>1.0.0-rc.2</version>
         </dependency>
     </dependencies>
 </project>

release.sh

@@ -34,7 +34,7 @@ fi
 # To get a shell to poke around the maven artifacts with.
 if [[ -z "${CMD}" ]]
 then
-  CMD="mvn clean deploy -B -e --settings ./settings.xml -Pdeploying -Preleasing -DstagingRepositoryId=${STAGING_SEQ}"
+  CMD="mvn clean deploy -B -e --settings ./settings.xml -Pdeploying -Preleasing -DstagingRepositoryId=orgtensorflow-${STAGING_SEQ}"
 fi
 
 export GPG_TTY=$(tty)

tensorflow-core/tensorflow-core-generator/src/main/java/org/tensorflow/generator/op/ClassGenerator.java

@@ -297,10 +297,6 @@ void buildClass() {
         if (seenGenerics.add(typeVar.name)) {
           typeParams.add(typeVar);
           builder.addTypeVariable(typeVar);
-          // FIXME: check if we need to add this or if it's redundant now with other type
-          // generations.
-          // builder.addJavadoc("\n@param <$L> data type for {@code $L} output\n", typeVar.name,
-          // output.getName());
         }
       }
     }