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Updating versions in install instructions
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docs/install.md

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@@ -41,14 +41,8 @@ TensorFlow Java to your project. The easiest one is to add a dependency on the
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Core API and the native dependencies it requires to run on all supported
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platforms.
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You can also select one of the following extensions instead of the pure CPU
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version:
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* `tensorflow-core-platform-mkl`: Support for Intel® MKL-DNN on all platforms
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* `tensorflow-core-platform-gpu`: Support for CUDA® on Linux and Windows
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platforms
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* `tensorflow-core-platform-mkl-gpu`: Support for Intel® MKL-DNN and CUDA® on
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Linux platform.
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You can also select the `tensorflow-core-platform-gpu` extension instead, which
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supports CUDA® on Linux and Windows platforms.
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In addition, a separate dependency on the `tensorflow-framework` library can be
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added to benefit from a rich set of utilities for TensorFlow-based machine
@@ -64,7 +58,7 @@ For example,
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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>0.3.3</version>
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<version>0.4.0</version>
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</dependency>
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```
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@@ -107,7 +101,7 @@ snapshots repository in your `pom.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>0.4.0-SNAPSHOT</version>
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<version>0.5.0-SNAPSHOT</version>
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</dependency>
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</dependencies>
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```
@@ -124,7 +118,7 @@ repositories {
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}
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dependencies {
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compile group: 'org.tensorflow', name: 'tensorflow-core-platform', version: '0.3.3'
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compile group: 'org.tensorflow', name: 'tensorflow-core-platform', version: '0.4.0'
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}
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```
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@@ -170,7 +164,7 @@ add the TensorFlow dependency to the project's `pom.xml` file:
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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>0.3.3</version>
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<version>0.4.0</version>
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</dependency>
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</dependencies>
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</project>

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