提交 0509af7e 编写于 作者: T Terry Heo 提交者: TensorFlower Gardener

Update cmake support of TFLite minimal example

Created a CMakeLists.txt under the lite/examples/minimal

Usage)

$ git clone https://github.com/tensorflow/tensorflow.git tensorflow_src
$ mkdir minimal_build
$ cd miniaml_build
$ cmake ../tensorflow_src/tensorflow/lite/examples/minimal
$ cmake --build . -j

PiperOrigin-RevId: 339977906
Change-Id: I85cada5430407e72354d0a31a17584c48407db2f
上级 92bb7896
...@@ -450,12 +450,3 @@ target_link_libraries(benchmark_model ...@@ -450,12 +450,3 @@ target_link_libraries(benchmark_model
${TFLITE_BENCHMARK_LIBS} ${TFLITE_BENCHMARK_LIBS}
) )
# TFLite minimal example
add_executable(minimal
EXCLUDE_FROM_ALL
${TFLITE_SOURCE_DIR}/examples/minimal/minimal.cc
)
target_link_libraries(minimal
tensorflow-lite
${CMAKE_DL_LIBS}
)
#
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Builds the minimal Tensorflow Lite example.
cmake_minimum_required(VERSION 3.16)
project(minimal C CXX)
set(TENSORFLOW_SOURCE_DIR "" CACHE PATH
"Directory that contains the TensorFlow project"
)
if(NOT TENSORFLOW_SOURCE_DIR)
get_filename_component(TENSORFLOW_SOURCE_DIR
"${CMAKE_CURRENT_LIST_DIR}/../../../../"
ABSOLUTE
)
endif()
add_subdirectory(
"${TENSORFLOW_SOURCE_DIR}/tensorflow/lite"
"${CMAKE_CURRENT_BINARY_DIR}/tensorflow-lite"
EXCLUDE_FROM_ALL
)
add_executable(minimal
minimal.cc
)
target_link_libraries(minimal
tensorflow-lite
${CMAKE_DL_LIBS}
)
# TensorFlow Lite C++ minimal example
This example shows how you can build a simple TensorFlow Lite application.
#### Step 1. Install CMake tool
It requires CMake 3.16 or higher. On Ubuntu, you can simply run the following
command.
```sh
sudo apt-get install cmake
```
Or you can follow
[the official cmake installation guide](https://cmake.org/install/)
#### Step 2. Clone TensorFlow repository
```sh
git clone https://github.com/tensorflow/tensorflow.git tensorflow_src
```
#### Step 3. Create CMake build directory and run CMake tool
```sh
mkdir minimal_build
cd minimal_build
cmake ../tensorflow_src/tensorflow/lite/examples/minimal
```
#### Step 4. Build TensorFlow Lite
In the minimal_build directory,
```sh
cmake --build . -j
```
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册