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Copy file name to clipboardExpand all lines: README.md
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While TensorFlow Java can be compiled for [multiple platforms](https://github.com/tensorflow/java/blob/master/tensorflow-core/pom.xml#L54),
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only binaries for the followings are being **supported and distributed** by this project:
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-`linux-x86_64`: Linux platforms on Intel chips
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-`linux-x86_64-gpu`: Linux platforms on Intel chips with Cuda GPU support
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-`macosx-x86_64`: MacOS X platforms on Intel chips
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-`linux-x86_64`: Linux platforms on Intel/AMD chips
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-`linux-x86_64-gpu`: Linux platforms on Intel/AMD chips with Cuda GPU support
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-`macosx-x86_64`: MacOS X platforms on Intel/AMD chips
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-`macosx-arm64`: MacOS X platforms on Apple Silicon chips
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-`windows-x86_64`: Windows platforms on Intel chips
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-`windows-x86_64`: Windows platforms on Intel/AMD chips
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For example, for building a JAR that uses TensorFlow and is targeted to be deployed only on Linux
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systems with no GPU support, you should add the following dependencies:
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```xml
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<dependency>
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<groupId>org.tensorflow</groupId>
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<artifactId>tensorflow-core-api</artifactId>
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<version>0.5.0</version>
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<version>1.0.0-rc1</version>
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</dependency>
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<dependency>
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<groupId>org.tensorflow</groupId>
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<artifactId>tensorflow-core-native</artifactId>
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<version>0.5.0</version>
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<version>1.0.0-rc1</version>
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<classifier>linux-x86_64</classifier>
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</dependency>
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```
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<dependency>
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<groupId>org.tensorflow</groupId>
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<artifactId>tensorflow-core-api</artifactId>
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<version>0.5.0</version>
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<version>1.0.0-rc1</version>
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</dependency>
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<dependency>
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<groupId>org.tensorflow</groupId>
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<artifactId>tensorflow-core-native</artifactId>
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<version>0.5.0</version>
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<version>1.0.0-rc1</version>
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<classifier>linux-x86_64-gpu</classifier>
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</dependency>
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<dependency>
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<groupId>org.tensorflow</groupId>
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<artifactId>tensorflow-core-native</artifactId>
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<version>0.5.0</version>
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<version>1.0.0-rc1</version>
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<classifier>macosx-arm64</classifier>
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</dependency>
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<dependency>
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<groupId>org.tensorflow</groupId>
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<artifactId>tensorflow-core-native</artifactId>
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<version>0.5.0</version>
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<version>1.0.0-rc1</version>
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<classifier>windows-x86_64</classifier>
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</dependency>
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```
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-`tensorflow-core-platform`: Includes `tensorflow-core-api`, plus native artifacts for `linux-x86_64`, `macosx-arm64`, `macosx-x86_64` and `windows-x86_64`
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For example, to run TensorFlow Java on any platform for which a binary is being distributed by this project, you can
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For example, to run TensorFlow Java on any CPU platform for which a binary is being distributed by this project, you can
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simply add this dependency to your application:
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```xml
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<dependency>
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<groupId>org.tensorflow</groupId>
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<artifactId>tensorflow-core-platform</artifactId>
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<version>0.5.0</version>
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<version>1.0.0-rc1</version>
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</dependency>
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```
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@@ -172,7 +172,7 @@ This table shows the mapping between TensorFlow, TensorFlow Java and minimum sup
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