@@ -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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-
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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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