From 03a12df43b82327d1af2f51e75fac3ba6b8e9b1d Mon Sep 17 00:00:00 2001 From: per1234 Date: Tue, 18 Jun 2019 14:16:46 -0700 Subject: [PATCH] Fix links in TensorFlow Lite for Microcontrollers readme --- tensorflow/lite/experimental/micro/README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/tensorflow/lite/experimental/micro/README.md b/tensorflow/lite/experimental/micro/README.md index b8ed89d552c927..5f347099b72037 100644 --- a/tensorflow/lite/experimental/micro/README.md +++ b/tensorflow/lite/experimental/micro/README.md @@ -14,7 +14,7 @@ detection model, takes up a total of 22KB. * [Getting Started with Portable Reference Code](#getting-started-with-portable-reference-code) * [Building Portable Reference Code using Make](#building-portable-reference-code-using-make) * [Building for the "Blue Pill" STM32F103 using Make](#building-for-the-blue-pill-stm32f103-using-make) - * [Building for "Hifive1" SiFive FE310 development board using Make](#building-for-hifive1-sifive-fe310-development-board-using-make) + * [Building for "Hifive1" SiFive FE310 development board using Make](#building-for-hifive1-sifive-fe310-development-board) * [Building for Ambiq Micro Apollo3Blue EVB using Make](#building-for-ambiq-micro-apollo3blue-evb-using-make) * [Additional Apollo3 Instructions](#additional-apollo3-instructions) * [Building for the Eta Compute ECM3531 EVB using Make](#Building-for-the-Eta-Compute-ECM3531-EVB-using-Make) @@ -23,12 +23,12 @@ detection model, takes up a total of 22KB. - [Generating Project Files](#generating-project-files) -- [Generating Arduino Libraries](#generating-arduino_libraries) +- [Generating Arduino Libraries](#generating-arduino-libraries) - [How to Port TensorFlow Lite Micro to a New Platform](#how-to-port-tensorflow-lite-micro-to-a-new-platform) * [Requirements](#requirements) - * [Getting Started](getting-started) + * [Getting Started](#getting-started-1) * [Troubleshooting](#troubleshooting) * [Optimizing for your Platform](#optimizing-for-your-platform) * [Code Module Organization](#code-module-organization) @@ -615,7 +615,7 @@ As mentioned above, the one function you will need to implement for a completely new platform is debug logging. If your device is just a variation on an existing platform you may be able to reuse code that's already been written. To understand what's available, begin with the default reference implementation at -[tensorflow/lite/experimental/micro/debug_log.cc](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/experimental/micro/debug_log.cc]), +[tensorflow/lite/experimental/micro/debug_log.cc](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/experimental/micro/debug_log.cc), which uses fprintf and stderr. If your platform has this level of support for the C standard library in its toolchain, then you can just reuse this. Otherwise, you'll need to do some research into how your platform and device can @@ -900,7 +900,7 @@ git commit -a -m "Added DebugLog() support for " git push origin master ``` -Then go back to https://github.com//tensorflow, and choose "New +Then go back to `https://github.com//tensorflow`, and choose "New Pull Request" near the top. You should then be able to go through the standard TensorFlow PR process to get your change added to the main repository, and available to the rest of the community!