From aa32906829fc84f5a8624885d74b7fd5f8cc8ff9 Mon Sep 17 00:00:00 2001 From: Sdalbsoo Date: Thu, 24 May 2018 00:16:54 +0900 Subject: [PATCH] typo --- tensorflow/contrib/lite/java/ovic/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tensorflow/contrib/lite/java/ovic/README.md b/tensorflow/contrib/lite/java/ovic/README.md index 5efa709..2634934 100644 --- a/tensorflow/contrib/lite/java/ovic/README.md +++ b/tensorflow/contrib/lite/java/ovic/README.md @@ -2,7 +2,7 @@ This folder contains building code for track one of the [Low Power ImageNet Recognition Challenge workshop at CVPR 2018.](https://rebootingcomputing.ieee.org/home/sitemap/14-lpirc/80-low-power-image-recognition-challenge-lpirc-2018) -## Pre-requesits +## Pre-requisite Follow the steps [here](https://www.tensorflow.org/mobile/tflite/demo_android) to install Tensorflow, Bazel, and the Android NDK and SDK. @@ -49,7 +49,7 @@ Once you have a submission that follows the instructions from the [competition s You can call the validator binary below to verify that your model fits the format requirements. This often helps you to catch size mismatches (e.g. output should be [1, 1001] instead of [1,1,1,1001]). Let say the submission file is located at `/path/to/my_model.lite`, then call: ```sh -bazel build --cxxopt--std=c++11 //tensorflow/contrib/lite/java/ovic:ovic_validator --cxxopt=-Wno-all +bazel build --cxxopt=--std=c++11 //tensorflow/contrib/lite/java/ovic:ovic_validator --cxxopt=-Wno-all bazel-bin/tensorflow/contrib/lite/java/ovic/ovic_validator /path/to/my_model.lite ``` -- 2.7.4