From 6ed4650efda0c45f60c1945cdeaf525e96860d22 Mon Sep 17 00:00:00 2001 From: Karl Lessard Date: Fri, 18 Oct 2024 15:56:16 -0400 Subject: [PATCH] Update install instructions --- docs/install.md | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/docs/install.md b/docs/install.md index c1a407b7db1..2dc2601b0e5 100644 --- a/docs/install.md +++ b/docs/install.md @@ -13,12 +13,14 @@ Caution: The TensorFlow Java API is *not* covered by the TensorFlow ## Requirements -TensorFlow Java runs on Java 8 and above, and supports out-of-the-box the +TensorFlow Java runs on Java 11 and above, and supports out-of-the-box the following platforms: -* Ubuntu 16.04 or higher; 64-bit, x86 -* macOS 10.12.6 (Sierra) or higher; 64-bit, x86 -* Windows 7 or higher; 64-bit, x86 +* Ubuntu 20.04 or higher; 64-bit, x86 +* Ubuntu 22.04 or higher; 64-bit, arm +* macOS 12 or higher; 64-bit, x86 +* macOS 14 or higher; 64-bit, arm +* Windows 10 or higher; 64-bit, x86 *Note: To use TensorFlow on Android, see [TensorFlow Lite](https://tensorflow.org/lite)* @@ -41,8 +43,7 @@ TensorFlow Java to your project. The easiest one is to add a dependency on the Core API and the native dependencies it requires to run on all supported platforms. -You can also select the `tensorflow-core-platform-gpu` extension instead, which -supports CUDA® on Linux and Windows platforms. +To include CUDA® support for Linux x86, select the `tensorflow-core-native:linux-x86_64-gpu` artifact. In addition, a separate dependency on the `tensorflow-framework` library can be added to benefit from a rich set of utilities for TensorFlow-based machine @@ -118,7 +119,7 @@ repositories { } dependencies { - compile group: 'org.tensorflow', name: 'tensorflow-core-platform', version: '1.0.0-rc.1' + compile group: 'org.tensorflow', name: 'tensorflow-core-platform', version: '1.0.0-rc.2' } ```