APP_Framework/:fix some Kconfig file in Applications and Framework. and change know to knowing ,remove uncomfortable file(their location is wrong)
This commit is contained in:
chunyexixiaoyu
parent
81323fa992
commit
fcd14e038e
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@ -1,14 +1,3 @@
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menu "connection app"
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menu "connection app"
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menuconfig APPLICATION_CONNECTION
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bool "Using connection apps"
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default n
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menuconfig CONNECTION_COMMUNICATION_ZIGBEE
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bool "enable zigbee demo"
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default n
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select CONFIG_CONNECTION_COMMUNICATION_ZIGBEE
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if CONNECTION_COMMUNICATION_ZIGBEE
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source "$KERNEL_DIR/framework/connection/Adapter/zigbee/Kconfig"
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endif
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endmenu
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endmenu
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@ -20,7 +20,7 @@ menu "Framework"
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source "$APP_DIR/Framework/sensor/Kconfig"
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source "$APP_DIR/Framework/sensor/Kconfig"
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source "$APP_DIR/Framework/connection/Kconfig"
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source "$APP_DIR/Framework/connection/Kconfig"
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source "$APP_DIR/Framework/know/Kconfig"
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source "$APP_DIR/Framework/knowing/Kconfig"
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source "$APP_DIR/Framework/control/Kconfig"
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source "$APP_DIR/Framework/control/Kconfig"
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@ -1,2 +0,0 @@
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*.h5
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*.tflite
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@ -1,4 +0,0 @@
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menuconfig USING_TFLITE_MNIST
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bool "mnist demo app for tflite micro"
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depends on INTELLIGENT_TFLITE
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default n
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@ -1,8 +0,0 @@
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ifeq ($(CONFIG_USING_TFLITE_MNIST),y)
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SRC_FILES := \
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mnistapp.cpp \
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mnistmain.c
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CPPPATHS += -I.
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endif
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include $(KERNEL_ROOT)/compiler.mk
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@ -1,19 +0,0 @@
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# MNIST 说明
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## 使用
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tools/mnist-train.py 训练生成 mnist 模型。
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tools/mnist-inference.py 使用 mnist 模型进行推理。
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tools/mnist-c-model.py 将 mnist 模型转换成 C 的数组保存在 model.h 中。
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tools/mnist-c-digit.py 将 mnist 数据集中的某个数字转成数组保存在 digit.h 中。
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## 参考资料
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https://tensorflow.google.cn/lite/performance/post_training_quantization
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https://tensorflow.google.cn/lite/performance/post_training_integer_quant
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https://colab.research.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/lite/micro/examples/hello_world/train/train_hello_world_model.ipynb
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@ -1,51 +0,0 @@
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/*
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* Copyright (c) 2020 AIIT XUOS Lab
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* XiOS is licensed under Mulan PSL v2.
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* You can use this software according to the terms and conditions of the Mulan PSL v2.
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* You may obtain a copy of Mulan PSL v2 at:
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* http://license.coscl.org.cn/MulanPSL2
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* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
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* EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
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* MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
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* See the Mulan PSL v2 for more details.
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*/
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/**
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* @file: digit.h
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* @brief: store digits in this file
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* @version: 1.0
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* @author: AIIT XUOS Lab
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* @date: 2021/4/30
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*
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*/
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const float mnist_digit[] = {
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.33, 0.73, 0.62, 0.59, 0.24, 0.14, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.87, 1.00, 1.00, 1.00, 1.00, 0.95, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.78, 0.67, 0.20, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.26, 0.45, 0.28, 0.45, 0.64, 0.89, 1.00, 0.88, 1.00, 1.00, 1.00, 0.98, 0.90, 1.00, 1.00, 0.55, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.07, 0.26, 0.05, 0.26, 0.26, 0.26, 0.23, 0.08, 0.93, 1.00, 0.42, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.33, 0.99, 0.82, 0.07, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.09, 0.91, 1.00, 0.33, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.51, 1.00, 0.93, 0.17, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.23, 0.98, 1.00, 0.24, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.52, 1.00, 0.73, 0.02, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.04, 0.80, 0.97, 0.23, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.49, 1.00, 0.71, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.29, 0.98, 0.94, 0.22, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.07, 0.87, 1.00, 0.65, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.01, 0.80, 1.00, 0.86, 0.14, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.15, 1.00, 1.00, 0.30, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.12, 0.88, 1.00, 0.45, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.52, 1.00, 1.00, 0.20, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.24, 0.95, 1.00, 1.00, 0.20, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.47, 1.00, 1.00, 0.86, 0.16, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.47, 1.00, 0.81, 0.07, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00,
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0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00
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};
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const int mnist_label = 7;
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@ -1,112 +0,0 @@
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/*
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* Copyright (c) 2020 AIIT XUOS Lab
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* XiOS is licensed under Mulan PSL v2.
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* You can use this software according to the terms and conditions of the Mulan PSL v2.
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* You may obtain a copy of Mulan PSL v2 at:
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* http://license.coscl.org.cn/MulanPSL2
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* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
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* EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
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* MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
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* See the Mulan PSL v2 for more details.
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*/
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/**
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* @file: mnistapp.cpp
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* @brief: mnist function
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* @version: 1.0
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* @author: AIIT XUOS Lab
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* @date: 2021/4/30
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*
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*/
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#include <xiuos.h>
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#include "tensorflow/lite/micro/all_ops_resolver.h"
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#include "tensorflow/lite/micro/micro_error_reporter.h"
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#include "tensorflow/lite/micro/micro_interpreter.h"
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#include "tensorflow/lite/schema/schema_generated.h"
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#include "tensorflow/lite/version.h"
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#include "digit.h"
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#include "model.h"
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namespace {
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tflite::ErrorReporter* error_reporter = nullptr;
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const tflite::Model* model = nullptr;
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tflite::MicroInterpreter* interpreter = nullptr;
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TfLiteTensor* input = nullptr;
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TfLiteTensor* output = nullptr;
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constexpr int kTensorArenaSize = 110 * 1024;
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//uint8_t *tensor_arena = nullptr;
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uint8_t tensor_arena[kTensorArenaSize];
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}
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extern "C" void mnist_app() {
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tflite::MicroErrorReporter micro_error_reporter;
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error_reporter = µ_error_reporter;
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model = tflite::GetModel(mnist_model);
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if (model->version() != TFLITE_SCHEMA_VERSION) {
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TF_LITE_REPORT_ERROR(error_reporter,
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"Model provided is schema version %d not equal "
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"to supported version %d.",
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model->version(), TFLITE_SCHEMA_VERSION);
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return;
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}
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/*
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tensor_arena = (uint8_t *)rt_malloc(kTensorArenaSize);
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if (tensor_arena == nullptr) {
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TF_LITE_REPORT_ERROR(error_reporter, "malloc for tensor_arena failed");
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return;
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}
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*/
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tflite::AllOpsResolver resolver;
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tflite::MicroInterpreter static_interpreter(
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model, resolver, tensor_arena, kTensorArenaSize, error_reporter);
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interpreter = &static_interpreter;
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// Allocate memory from the tensor_arena for the model's tensors.
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TfLiteStatus allocate_status = interpreter->AllocateTensors();
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if (allocate_status != kTfLiteOk) {
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TF_LITE_REPORT_ERROR(error_reporter, "AllocateTensors() failed");
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return;
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}
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input = interpreter->input(0);
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output = interpreter->output(0);
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KPrintf("\n------- Input Digit -------\n");
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for (int i = 0; i < 28; i++) {
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for (int j = 0; j < 28; j++) {
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if (mnist_digit[i*28+j] > 0.3)
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KPrintf("#");
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else
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KPrintf(".");
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}
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KPrintf("\n");
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}
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for (int i = 0; i < 28*28; i++) {
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input->data.f[i] = mnist_digit[i];
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}
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TfLiteStatus invoke_status = interpreter->Invoke();
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if (invoke_status != kTfLiteOk) {
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TF_LITE_REPORT_ERROR(error_reporter, "Invoke failed on x_val\n");
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return;
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}
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// Read the predicted y value from the model's output tensor
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float max = 0.0;
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int index;
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for (int i = 0; i < 10; i++) {
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if(output->data.f[i]>max){
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max = output->data.f[i];
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index = i;
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}
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}
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KPrintf("\n------- Output Result -------\n");
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KPrintf("result is %d\n\n", index);
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}
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@ -1,30 +0,0 @@
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/*
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* Copyright (c) 2020 AIIT XUOS Lab
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* XiOS is licensed under Mulan PSL v2.
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* You can use this software according to the terms and conditions of the Mulan PSL v2.
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* You may obtain a copy of Mulan PSL v2 at:
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* http://license.coscl.org.cn/MulanPSL2
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* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
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* EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
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||||||
* MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
|
|
||||||
* See the Mulan PSL v2 for more details.
|
|
||||||
*/
|
|
||||||
|
|
||||||
/**
|
|
||||||
* @file: mnistmain.c
|
|
||||||
* @brief: start mnist function
|
|
||||||
* @version: 1.0
|
|
||||||
* @author: AIIT XUOS Lab
|
|
||||||
* @date: 2021/4/30
|
|
||||||
*
|
|
||||||
*/
|
|
||||||
|
|
||||||
#include <xiuos.h>
|
|
||||||
|
|
||||||
void mnist_app(void);
|
|
||||||
|
|
||||||
int tfmnist(void) {
|
|
||||||
mnist_app();
|
|
||||||
}
|
|
||||||
|
|
||||||
SHELL_EXPORT_CMD(SHELL_CMD_PERMISSION(0)|SHELL_CMD_TYPE(SHELL_TYPE_CMD_FUNC)|SHELL_CMD_PARAM_NUM(0), tfmnist, tfmnist, run mnist demo of tflite);
|
|
||||||
File diff suppressed because it is too large
Load Diff
|
|
@ -1,54 +0,0 @@
|
||||||
#!/usr/bin/env python3
|
|
||||||
# ==========================================================================================
|
|
||||||
# Copyright (c) 2020 AIIT XUOS Lab
|
|
||||||
# XiOS is licensed under Mulan PSL v2.
|
|
||||||
# You can use this software according to the terms and conditions of the Mulan PSL v2.
|
|
||||||
# You may obtain a copy of Mulan PSL v2 at:
|
|
||||||
# http://license.coscl.org.cn/MulanPSL2
|
|
||||||
# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
|
|
||||||
# EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
|
|
||||||
# MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
|
|
||||||
# See the Mulan PSL v2 for more details.
|
|
||||||
|
|
||||||
# @file: mnist-c-digit.py
|
|
||||||
# @brief: print image digit at command line
|
|
||||||
# @version: 1.0
|
|
||||||
# @author: AIIT XUOS Lab
|
|
||||||
# @date: 2021/4/30
|
|
||||||
# ==========================================================================================
|
|
||||||
|
|
||||||
|
|
||||||
import tensorflow as tf
|
|
||||||
|
|
||||||
print("TensorFlow version %s" % (tf.__version__))
|
|
||||||
|
|
||||||
def show(image):
|
|
||||||
for i in range(28):
|
|
||||||
for j in range(28):
|
|
||||||
if image[i][j] > 0.3:
|
|
||||||
print('#', end = '')
|
|
||||||
else:
|
|
||||||
print('.', end = '')
|
|
||||||
print()
|
|
||||||
|
|
||||||
digit_file_path = 'digit.h'
|
|
||||||
digit_content = '''const float mnist_digit[] = {
|
|
||||||
%s
|
|
||||||
};
|
|
||||||
const int mnist_label = %d;
|
|
||||||
'''
|
|
||||||
|
|
||||||
if __name__ == '__main__':
|
|
||||||
mnist = tf.keras.datasets.mnist
|
|
||||||
(_, _), (test_images, test_labels) = mnist.load_data()
|
|
||||||
index = 0
|
|
||||||
shape = 28
|
|
||||||
image = test_images[index].astype('float32')/255
|
|
||||||
label = test_labels[index]
|
|
||||||
print('label: %d' % label)
|
|
||||||
#show(image)
|
|
||||||
digit_data = (',\n ').join([ (', ').join([ '%.2f' % image[row][col] for col in range(shape)]) for row in range(shape)])
|
|
||||||
digit_file = open(digit_file_path, 'w')
|
|
||||||
digit_file.write(digit_content % (digit_data, label))
|
|
||||||
digit_file.close()
|
|
||||||
|
|
||||||
|
|
@ -1,41 +0,0 @@
|
||||||
#!/usr/bin/env python3
|
|
||||||
# ==========================================================================================
|
|
||||||
# Copyright (c) 2020 AIIT XUOS Lab
|
|
||||||
# XiOS is licensed under Mulan PSL v2.
|
|
||||||
# You can use this software according to the terms and conditions of the Mulan PSL v2.
|
|
||||||
# You may obtain a copy of Mulan PSL v2 at:
|
|
||||||
# http://license.coscl.org.cn/MulanPSL2
|
|
||||||
# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
|
|
||||||
# EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
|
|
||||||
# MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
|
|
||||||
# See the Mulan PSL v2 for more details.
|
|
||||||
|
|
||||||
# @file: mnist-c-model.py
|
|
||||||
# @brief: open file path and load model
|
|
||||||
# @version: 1.0
|
|
||||||
# @author: AIIT XUOS Lab
|
|
||||||
# @date: 2021/4/30
|
|
||||||
# ==========================================================================================
|
|
||||||
|
|
||||||
|
|
||||||
#tflite_file_path = 'mnist-default-quan.tflite'
|
|
||||||
tflite_file_path = 'mnist.tflite'
|
|
||||||
model_file_path = 'model.h'
|
|
||||||
|
|
||||||
tflite_file = open(tflite_file_path, 'rb')
|
|
||||||
tflite_data = tflite_file.read()
|
|
||||||
tflite_file.close()
|
|
||||||
tflite_array = [ '0x%02x' % byte for byte in tflite_data ]
|
|
||||||
|
|
||||||
model_content = '''unsigned char mnist_model[] = {
|
|
||||||
%s
|
|
||||||
};
|
|
||||||
unsigned int mnist_model_len = %d;
|
|
||||||
'''
|
|
||||||
# 12 bytes in a line, the same with xxd
|
|
||||||
bytes_of_line = 12
|
|
||||||
model_data = (',\n ').join([ (', ').join(tflite_array[i:i+bytes_of_line]) for i in range(0, len(tflite_array), bytes_of_line) ])
|
|
||||||
model_file = open(model_file_path, 'w')
|
|
||||||
model_file.write(model_content % (model_data, len(tflite_array)))
|
|
||||||
model_file.close()
|
|
||||||
|
|
||||||
|
|
@ -1,58 +0,0 @@
|
||||||
#!/usr/bin/env python3
|
|
||||||
# ==========================================================================================
|
|
||||||
# Copyright (c) 2020 AIIT XUOS Lab
|
|
||||||
# XiOS is licensed under Mulan PSL v2.
|
|
||||||
# You can use this software according to the terms and conditions of the Mulan PSL v2.
|
|
||||||
# You may obtain a copy of Mulan PSL v2 at:
|
|
||||||
# http://license.coscl.org.cn/MulanPSL2
|
|
||||||
# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
|
|
||||||
# EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
|
|
||||||
# MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
|
|
||||||
# See the Mulan PSL v2 for more details.
|
|
||||||
|
|
||||||
# @file: mnist-inference.py
|
|
||||||
# @brief: load data amd start model omferemce
|
|
||||||
# @version: 1.0
|
|
||||||
# @author: AIIT XUOS Lab
|
|
||||||
# @date: 2021/4/30
|
|
||||||
# ==========================================================================================
|
|
||||||
|
|
||||||
|
|
||||||
import tensorflow as tf
|
|
||||||
|
|
||||||
print("TensorFlow version %s" % (tf.__version__))
|
|
||||||
|
|
||||||
MODEL_NAME_H5 = 'mnist.h5'
|
|
||||||
MODEL_NAME_TFLITE = 'mnist.tflite'
|
|
||||||
DEFAULT_QUAN_MODEL_NAME_TFLITE = 'mnist-default-quan.tflite'
|
|
||||||
FULL_QUAN_MODEL_NAME_TFLITE = 'mnist-full-quan.tflite'
|
|
||||||
|
|
||||||
|
|
||||||
def show(image):
|
|
||||||
for i in range(28):
|
|
||||||
for j in range(28):
|
|
||||||
if image[i][j][0] > 0.3:
|
|
||||||
print('#', end = '')
|
|
||||||
else:
|
|
||||||
print(' ', end = '')
|
|
||||||
print()
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == '__main__':
|
|
||||||
mnist = tf.keras.datasets.mnist
|
|
||||||
(_, _), (test_images, test_labels) = mnist.load_data()
|
|
||||||
test_images = test_images.reshape(10000, 28, 28, 1)
|
|
||||||
index = 0
|
|
||||||
input_image = test_images[index].astype('float32')/255
|
|
||||||
target_label = test_labels[index]
|
|
||||||
|
|
||||||
interpreter = tf.lite.Interpreter(model_path = DEFAULT_QUAN_MODEL_NAME_TFLITE)
|
|
||||||
interpreter.allocate_tensors()
|
|
||||||
input_details = interpreter.get_input_details()[0]
|
|
||||||
output_details = interpreter.get_output_details()[0]
|
|
||||||
interpreter.set_tensor(input_details['index'], [input_image])
|
|
||||||
interpreter.invoke()
|
|
||||||
output = interpreter.get_tensor(output_details['index'])[0]
|
|
||||||
|
|
||||||
show(input_image)
|
|
||||||
print('target label: %d, predict label: %d' % (target_label, output.argmax()))
|
|
||||||
|
|
@ -1,127 +0,0 @@
|
||||||
#!/usr/bin/env python3
|
|
||||||
# ==========================================================================================
|
|
||||||
# Copyright (c) 2020 AIIT XUOS Lab
|
|
||||||
# XiOS is licensed under Mulan PSL v2.
|
|
||||||
# You can use this software according to the terms and conditions of the Mulan PSL v2.
|
|
||||||
# You may obtain a copy of Mulan PSL v2 at:
|
|
||||||
# http://license.coscl.org.cn/MulanPSL2
|
|
||||||
# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
|
|
||||||
# EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
|
|
||||||
# MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
|
|
||||||
# See the Mulan PSL v2 for more details.
|
|
||||||
|
|
||||||
# @file: mnist-train.py
|
|
||||||
# @brief: model training
|
|
||||||
# @version: 1.0
|
|
||||||
# @author: AIIT XUOS Lab
|
|
||||||
# @date: 2021/4/30
|
|
||||||
# ==========================================================================================
|
|
||||||
|
|
||||||
|
|
||||||
import os
|
|
||||||
import tensorflow as tf
|
|
||||||
|
|
||||||
print("TensorFlow version %s" % (tf.__version__))
|
|
||||||
|
|
||||||
MODEL_NAME_H5 = 'mnist.h5'
|
|
||||||
MODEL_NAME_TFLITE = 'mnist.tflite'
|
|
||||||
DEFAULT_QUAN_MODEL_NAME_TFLITE = 'mnist-default-quan.tflite'
|
|
||||||
FULL_QUAN_MODEL_NAME_TFLITE = 'mnist-full-quan.tflite'
|
|
||||||
|
|
||||||
def build_model(model_name):
|
|
||||||
print('\n>>> load mnist dataset')
|
|
||||||
mnist = tf.keras.datasets.mnist
|
|
||||||
(train_images, train_labels),(test_images, test_labels) = mnist.load_data()
|
|
||||||
print("train images shape: ", train_images.shape)
|
|
||||||
print("train labels shape: ", train_labels.shape)
|
|
||||||
print("test images shape: ", test_images.shape)
|
|
||||||
print("test labels shape: ", test_labels.shape)
|
|
||||||
|
|
||||||
# transform label to categorical, like: 2 -> [0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
|
|
||||||
print('\n>>> transform label to categorical')
|
|
||||||
train_labels = tf.keras.utils.to_categorical(train_labels)
|
|
||||||
test_labels = tf.keras.utils.to_categorical(test_labels)
|
|
||||||
print("train labels shape: ", train_labels.shape)
|
|
||||||
print("test labels shape: ", test_labels.shape)
|
|
||||||
|
|
||||||
# transform color like: [0, 255] -> 0.xxx
|
|
||||||
print('\n>>> transform image color into float32')
|
|
||||||
train_images = train_images.astype('float32') / 255
|
|
||||||
test_images = test_images.astype('float32') / 255
|
|
||||||
|
|
||||||
# reshape image like: (60000, 28, 28) -> (60000, 28, 28, 1)
|
|
||||||
print('\n>>> reshape image with color channel')
|
|
||||||
train_images = train_images.reshape((60000, 28, 28, 1))
|
|
||||||
test_images = test_images.reshape((10000, 28, 28, 1))
|
|
||||||
print("train images shape: ", train_images.shape)
|
|
||||||
print("test images shape: ", test_images.shape)
|
|
||||||
|
|
||||||
print('\n>>> build model')
|
|
||||||
model = tf.keras.models.Sequential([
|
|
||||||
tf.keras.layers.Conv2D(32, (3, 3), activation=tf.nn.relu, input_shape=(28, 28, 1)),
|
|
||||||
tf.keras.layers.MaxPooling2D((2, 2)),
|
|
||||||
tf.keras.layers.Conv2D(64, (3, 3), activation=tf.nn.relu),
|
|
||||||
tf.keras.layers.MaxPooling2D((2, 2)),
|
|
||||||
tf.keras.layers.Conv2D(64, (3, 3), activation=tf.nn.relu),
|
|
||||||
tf.keras.layers.Flatten(),
|
|
||||||
tf.keras.layers.Dense(64, activation=tf.nn.relu),
|
|
||||||
tf.keras.layers.Dense(10, activation=tf.nn.softmax)
|
|
||||||
])
|
|
||||||
model.compile(optimizer='rmsprop',
|
|
||||||
loss='categorical_crossentropy',
|
|
||||||
metrics=['accuracy'])
|
|
||||||
model.summary()
|
|
||||||
|
|
||||||
print('\n>>> train the model')
|
|
||||||
early_stopping = tf.keras.callbacks.EarlyStopping(
|
|
||||||
monitor='loss', min_delta=0.0005, patience=3, verbose=1, mode='auto',
|
|
||||||
baseline=None, restore_best_weights=True
|
|
||||||
)
|
|
||||||
model.fit(train_images, train_labels, epochs=100, batch_size=64, callbacks=[early_stopping])
|
|
||||||
|
|
||||||
print('\n>>> evaluate the model')
|
|
||||||
test_loss, test_acc = model.evaluate(test_images, test_labels)
|
|
||||||
print("lost: %f, accuracy: %f" % (test_loss, test_acc))
|
|
||||||
|
|
||||||
print('\n>>> save the keras model as %s' % model_name)
|
|
||||||
model.save(model_name)
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == '__main__':
|
|
||||||
|
|
||||||
if not os.path.exists(MODEL_NAME_H5):
|
|
||||||
build_model(MODEL_NAME_H5)
|
|
||||||
|
|
||||||
if not os.path.exists(MODEL_NAME_TFLITE):
|
|
||||||
print('\n>>> save the tflite model as %s' % MODEL_NAME_TFLITE)
|
|
||||||
converter = tf.lite.TFLiteConverter.from_keras_model(tf.keras.models.load_model(MODEL_NAME_H5))
|
|
||||||
tflite_model = converter.convert()
|
|
||||||
with open(MODEL_NAME_TFLITE, "wb") as f:
|
|
||||||
f.write(tflite_model)
|
|
||||||
|
|
||||||
if not os.path.exists(DEFAULT_QUAN_MODEL_NAME_TFLITE):
|
|
||||||
print('\n>>> save the default quantized model as %s' % DEFAULT_QUAN_MODEL_NAME_TFLITE)
|
|
||||||
converter = tf.lite.TFLiteConverter.from_keras_model(tf.keras.models.load_model(MODEL_NAME_H5))
|
|
||||||
converter.optimizations = [tf.lite.Optimize.DEFAULT]
|
|
||||||
tflite_model = converter.convert()
|
|
||||||
with open(DEFAULT_QUAN_MODEL_NAME_TFLITE, "wb") as f:
|
|
||||||
f.write(tflite_model)
|
|
||||||
|
|
||||||
if not os.path.exists(FULL_QUAN_MODEL_NAME_TFLITE):
|
|
||||||
mnist = tf.keras.datasets.mnist
|
|
||||||
(train_images, _), (_, _) = mnist.load_data()
|
|
||||||
train_images = train_images.astype('float32') / 255
|
|
||||||
train_images = train_images.reshape((60000, 28, 28, 1))
|
|
||||||
def representative_data_gen():
|
|
||||||
for input_value in tf.data.Dataset.from_tensor_slices(train_images).batch(1).take(100):
|
|
||||||
yield [input_value]
|
|
||||||
print('\n>>> save the full quantized model as %s' % DEFAULT_QUAN_MODEL_NAME_TFLITE)
|
|
||||||
converter = tf.lite.TFLiteConverter.from_keras_model(tf.keras.models.load_model(MODEL_NAME_H5))
|
|
||||||
converter.optimizations = [tf.lite.Optimize.DEFAULT]
|
|
||||||
converter.representative_dataset = representative_data_gen
|
|
||||||
converter.target_spec.supported_ops = [tf.lite.OpsSet.TFLITE_BUILTINS_INT8]
|
|
||||||
converter.inference_input_type = tf.uint8
|
|
||||||
converter.inference_output_type = tf.uint8
|
|
||||||
tflite_model = converter.convert()
|
|
||||||
with open(FULL_QUAN_MODEL_NAME_TFLITE, "wb") as f:
|
|
||||||
f.write(tflite_model)
|
|
||||||
|
|
@ -1,4 +0,0 @@
|
||||||
menuconfig USING_TFLITE_SIN
|
|
||||||
bool "sin(x) demo app for tflite micro"
|
|
||||||
depends on INTELLIGENT_TFLITE
|
|
||||||
default n
|
|
||||||
|
|
@ -1,11 +0,0 @@
|
||||||
ifeq ($(CONFIG_USING_TFLITE_SIN),y)
|
|
||||||
SRC_FILES := \
|
|
||||||
sinmain.c \
|
|
||||||
main_functions.cc \
|
|
||||||
model.cc \
|
|
||||||
output_handler.cc \
|
|
||||||
constants.cc
|
|
||||||
CPPPATHS += -I.
|
|
||||||
endif
|
|
||||||
|
|
||||||
include $(KERNEL_ROOT)/compiler.mk
|
|
||||||
|
|
@ -1,19 +0,0 @@
|
||||||
/* Copyright 2019 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
|
|
||||||
|
|
||||||
http://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.
|
|
||||||
==============================================================================*/
|
|
||||||
|
|
||||||
#include "constants.h"
|
|
||||||
|
|
||||||
// This is a small number so that it's easy to read the logs
|
|
||||||
const int kInferencesPerCycle = 20;
|
|
||||||
|
|
@ -1,32 +0,0 @@
|
||||||
/* Copyright 2019 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
|
|
||||||
|
|
||||||
http://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.
|
|
||||||
==============================================================================*/
|
|
||||||
|
|
||||||
#ifndef TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_CONSTANTS_H_
|
|
||||||
#define TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_CONSTANTS_H_
|
|
||||||
|
|
||||||
// This constant represents the range of x values our model was trained on,
|
|
||||||
// which is from 0 to (2 * Pi). We approximate Pi to avoid requiring additional
|
|
||||||
// libraries.
|
|
||||||
const float kXrange = 2.f * 3.14159265359f;
|
|
||||||
|
|
||||||
// This constant determines the number of inferences to perform across the range
|
|
||||||
// of x values defined above. Since each inference takes time, the higher this
|
|
||||||
// number, the more time it will take to run through the entire range. The value
|
|
||||||
// of this constant can be tuned so that one full cycle takes a desired amount
|
|
||||||
// of time. Since different devices take different amounts of time to perform
|
|
||||||
// inference, this value should be defined per-device.
|
|
||||||
extern const int kInferencesPerCycle;
|
|
||||||
|
|
||||||
#endif // TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_CONSTANTS_H_
|
|
||||||
|
|
@ -1,119 +0,0 @@
|
||||||
/* 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
|
|
||||||
|
|
||||||
http://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.
|
|
||||||
==============================================================================*/
|
|
||||||
|
|
||||||
#include "main_functions.h"
|
|
||||||
|
|
||||||
#include "tensorflow/lite/micro/all_ops_resolver.h"
|
|
||||||
#include "constants.h"
|
|
||||||
#include "model.h"
|
|
||||||
#include "output_handler.h"
|
|
||||||
#include "tensorflow/lite/micro/micro_error_reporter.h"
|
|
||||||
#include "tensorflow/lite/micro/micro_interpreter.h"
|
|
||||||
#include "tensorflow/lite/schema/schema_generated.h"
|
|
||||||
#include "tensorflow/lite/version.h"
|
|
||||||
|
|
||||||
// Globals, used for compatibility with Arduino-style sketches.
|
|
||||||
namespace {
|
|
||||||
tflite::ErrorReporter* error_reporter = nullptr;
|
|
||||||
const tflite::Model* model = nullptr;
|
|
||||||
tflite::MicroInterpreter* interpreter = nullptr;
|
|
||||||
TfLiteTensor* input = nullptr;
|
|
||||||
TfLiteTensor* output = nullptr;
|
|
||||||
int inference_count = 0;
|
|
||||||
|
|
||||||
constexpr int kTensorArenaSize = 10240;
|
|
||||||
uint8_t tensor_arena[kTensorArenaSize];
|
|
||||||
} // namespace
|
|
||||||
|
|
||||||
// The name of this function is important for Arduino compatibility.
|
|
||||||
void setup() {
|
|
||||||
// Set up logging. Google style is to avoid globals or statics because of
|
|
||||||
// lifetime uncertainty, but since this has a trivial destructor it's okay.
|
|
||||||
// NOLINTNEXTLINE(runtime-global-variables)
|
|
||||||
static tflite::MicroErrorReporter micro_error_reporter;
|
|
||||||
error_reporter = µ_error_reporter;
|
|
||||||
|
|
||||||
// Map the model into a usable data structure. This doesn't involve any
|
|
||||||
// copying or parsing, it's a very lightweight operation.
|
|
||||||
model = tflite::GetModel(g_model);
|
|
||||||
if (model->version() != TFLITE_SCHEMA_VERSION) {
|
|
||||||
TF_LITE_REPORT_ERROR(error_reporter,
|
|
||||||
"Model provided is schema version %d not equal "
|
|
||||||
"to supported version %d.",
|
|
||||||
model->version(), TFLITE_SCHEMA_VERSION);
|
|
||||||
return;
|
|
||||||
}
|
|
||||||
|
|
||||||
// This pulls in all the operation implementations we need.
|
|
||||||
// NOLINTNEXTLINE(runtime-global-variables)
|
|
||||||
static tflite::AllOpsResolver resolver;
|
|
||||||
|
|
||||||
// Build an interpreter to run the model with.
|
|
||||||
static tflite::MicroInterpreter static_interpreter(
|
|
||||||
model, resolver, tensor_arena, kTensorArenaSize, error_reporter);
|
|
||||||
interpreter = &static_interpreter;
|
|
||||||
|
|
||||||
// Allocate memory from the tensor_arena for the model's tensors.
|
|
||||||
TfLiteStatus allocate_status = interpreter->AllocateTensors();
|
|
||||||
if (allocate_status != kTfLiteOk) {
|
|
||||||
TF_LITE_REPORT_ERROR(error_reporter, "AllocateTensors() failed");
|
|
||||||
return;
|
|
||||||
}
|
|
||||||
|
|
||||||
// Obtain pointers to the model's input and output tensors.
|
|
||||||
input = interpreter->input(0);
|
|
||||||
output = interpreter->output(0);
|
|
||||||
|
|
||||||
// Keep track of how many inferences we have performed.
|
|
||||||
inference_count = 0;
|
|
||||||
}
|
|
||||||
|
|
||||||
// The name of this function is important for Arduino compatibility.
|
|
||||||
void loop() {
|
|
||||||
// Calculate an x value to feed into the model. We compare the current
|
|
||||||
// inference_count to the number of inferences per cycle to determine
|
|
||||||
// our position within the range of possible x values the model was
|
|
||||||
// trained on, and use this to calculate a value.
|
|
||||||
float position = static_cast<float>(inference_count) /
|
|
||||||
static_cast<float>(kInferencesPerCycle);
|
|
||||||
float x = position * kXrange;
|
|
||||||
|
|
||||||
// Quantize the input from floating-point to integer
|
|
||||||
int8_t x_quantized = x / input->params.scale + input->params.zero_point;
|
|
||||||
// Place the quantized input in the model's input tensor
|
|
||||||
input->data.int8[0] = x_quantized;
|
|
||||||
|
|
||||||
// Run inference, and report any error
|
|
||||||
TfLiteStatus invoke_status = interpreter->Invoke();
|
|
||||||
if (invoke_status != kTfLiteOk) {
|
|
||||||
TF_LITE_REPORT_ERROR(error_reporter, "Invoke failed on x: %f\n",
|
|
||||||
static_cast<double>(x));
|
|
||||||
return;
|
|
||||||
}
|
|
||||||
|
|
||||||
// Obtain the quantized output from model's output tensor
|
|
||||||
int8_t y_quantized = output->data.int8[0];
|
|
||||||
// Dequantize the output from integer to floating-point
|
|
||||||
float y = (y_quantized - output->params.zero_point) * output->params.scale;
|
|
||||||
|
|
||||||
// Output the results. A custom HandleOutput function can be implemented
|
|
||||||
// for each supported hardware target.
|
|
||||||
HandleOutput(error_reporter, x, y);
|
|
||||||
|
|
||||||
// Increment the inference_counter, and reset it if we have reached
|
|
||||||
// the total number per cycle
|
|
||||||
inference_count += 1;
|
|
||||||
if (inference_count >= kInferencesPerCycle) inference_count = 0;
|
|
||||||
}
|
|
||||||
|
|
@ -1,37 +0,0 @@
|
||||||
/* Copyright 2019 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
|
|
||||||
|
|
||||||
http://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.
|
|
||||||
==============================================================================*/
|
|
||||||
|
|
||||||
#ifndef TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MAIN_FUNCTIONS_H_
|
|
||||||
#define TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MAIN_FUNCTIONS_H_
|
|
||||||
|
|
||||||
// Expose a C friendly interface for main functions.
|
|
||||||
#ifdef __cplusplus
|
|
||||||
extern "C" {
|
|
||||||
#endif
|
|
||||||
|
|
||||||
// Initializes all data needed for the example. The name is important, and needs
|
|
||||||
// to be setup() for Arduino compatibility.
|
|
||||||
void setup();
|
|
||||||
|
|
||||||
// Runs one iteration of data gathering and inference. This should be called
|
|
||||||
// repeatedly from the application code. The name needs to be loop() for Arduino
|
|
||||||
// compatibility.
|
|
||||||
void loop();
|
|
||||||
|
|
||||||
#ifdef __cplusplus
|
|
||||||
}
|
|
||||||
#endif
|
|
||||||
|
|
||||||
#endif // TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MAIN_FUNCTIONS_H_
|
|
||||||
|
|
@ -1,237 +0,0 @@
|
||||||
/* 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
|
|
||||||
|
|
||||||
http://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.
|
|
||||||
==============================================================================*/
|
|
||||||
|
|
||||||
// Automatically created from a TensorFlow Lite flatbuffer using the command:
|
|
||||||
// xxd -i model.tflite > model.cc
|
|
||||||
|
|
||||||
// This is a standard TensorFlow Lite model file that has been converted into a
|
|
||||||
// C data array, so it can be easily compiled into a binary for devices that
|
|
||||||
// don't have a file system.
|
|
||||||
|
|
||||||
// See train/README.md for a full description of the creation process.
|
|
||||||
|
|
||||||
#include "model.h"
|
|
||||||
|
|
||||||
// Keep model aligned to 8 bytes to guarantee aligned 64-bit accesses.
|
|
||||||
alignas(8) const unsigned char g_model[] = {
|
|
||||||
0x1c, 0x00, 0x00, 0x00, 0x54, 0x46, 0x4c, 0x33, 0x14, 0x00, 0x20, 0x00,
|
|
||||||
0x1c, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x00, 0x00,
|
|
||||||
0x08, 0x00, 0x04, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
|
|
||||||
0x98, 0x00, 0x00, 0x00, 0xc8, 0x00, 0x00, 0x00, 0x1c, 0x03, 0x00, 0x00,
|
|
||||||
0x2c, 0x03, 0x00, 0x00, 0x30, 0x09, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
|
|
||||||
0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x60, 0xf7, 0xff, 0xff,
|
|
||||||
0x10, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00,
|
|
||||||
0x44, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x73, 0x65, 0x72, 0x76,
|
|
||||||
0x65, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x00, 0x00, 0x73, 0x65, 0x72, 0x76,
|
|
||||||
0x69, 0x6e, 0x67, 0x5f, 0x64, 0x65, 0x66, 0x61, 0x75, 0x6c, 0x74, 0x00,
|
|
||||||
0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xbc, 0xff, 0xff, 0xff,
|
|
||||||
0x09, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x07, 0x00, 0x00, 0x00,
|
|
||||||
0x64, 0x65, 0x6e, 0x73, 0x65, 0x5f, 0x34, 0x00, 0x01, 0x00, 0x00, 0x00,
|
|
||||||
0x04, 0x00, 0x00, 0x00, 0x76, 0xfd, 0xff, 0xff, 0x04, 0x00, 0x00, 0x00,
|
|
||||||
0x0d, 0x00, 0x00, 0x00, 0x64, 0x65, 0x6e, 0x73, 0x65, 0x5f, 0x32, 0x5f,
|
|
||||||
0x69, 0x6e, 0x70, 0x75, 0x74, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
|
|
||||||
0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00,
|
|
||||||
0x08, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
|
|
||||||
0x13, 0x00, 0x00, 0x00, 0x6d, 0x69, 0x6e, 0x5f, 0x72, 0x75, 0x6e, 0x74,
|
|
||||||
0x69, 0x6d, 0x65, 0x5f, 0x76, 0x65, 0x72, 0x73, 0x69, 0x6f, 0x6e, 0x00,
|
|
||||||
0x0c, 0x00, 0x00, 0x00, 0x50, 0x02, 0x00, 0x00, 0x48, 0x02, 0x00, 0x00,
|
|
||||||
0x34, 0x02, 0x00, 0x00, 0xdc, 0x01, 0x00, 0x00, 0x8c, 0x01, 0x00, 0x00,
|
|
||||||
0x6c, 0x01, 0x00, 0x00, 0x5c, 0x00, 0x00, 0x00, 0x3c, 0x00, 0x00, 0x00,
|
|
||||||
0x34, 0x00, 0x00, 0x00, 0x2c, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00,
|
|
||||||
0x04, 0x00, 0x00, 0x00, 0xfa, 0xfd, 0xff, 0xff, 0x04, 0x00, 0x00, 0x00,
|
|
||||||
0x10, 0x00, 0x00, 0x00, 0x31, 0x2e, 0x35, 0x2e, 0x30, 0x00, 0x00, 0x00,
|
|
||||||
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x84, 0xfd, 0xff, 0xff,
|
|
||||||
0x88, 0xfd, 0xff, 0xff, 0x8c, 0xfd, 0xff, 0xff, 0x22, 0xfe, 0xff, 0xff,
|
|
||||||
0x04, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x21, 0xa5, 0x8b, 0xca,
|
|
||||||
0x5e, 0x1d, 0xce, 0x42, 0x9d, 0xce, 0x1f, 0xb0, 0xdf, 0x54, 0x2f, 0x81,
|
|
||||||
0x3e, 0xfe, 0xff, 0xff, 0x04, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00,
|
|
||||||
0xee, 0xfc, 0x00, 0xec, 0x05, 0x17, 0xef, 0xec, 0xe6, 0xf8, 0x03, 0x01,
|
|
||||||
0x00, 0xfa, 0xf8, 0xf5, 0xdc, 0xeb, 0x27, 0x14, 0xf1, 0xde, 0xe2, 0xdb,
|
|
||||||
0xf0, 0xde, 0x31, 0x06, 0x02, 0xe6, 0xee, 0xf9, 0x00, 0x16, 0x07, 0xe0,
|
|
||||||
0xfe, 0xff, 0xe9, 0x06, 0xe7, 0xef, 0x81, 0x1b, 0x18, 0xea, 0xc9, 0x01,
|
|
||||||
0x0f, 0x00, 0xda, 0xf7, 0x0e, 0xec, 0x13, 0x1f, 0x04, 0x13, 0xb4, 0xe6,
|
|
||||||
0xfd, 0x06, 0xb9, 0xe0, 0x0d, 0xec, 0xf0, 0xde, 0xeb, 0xf7, 0x05, 0x26,
|
|
||||||
0x1a, 0xe4, 0x6f, 0x1a, 0xea, 0x1e, 0x35, 0xdf, 0x1a, 0xf3, 0xf1, 0x19,
|
|
||||||
0x0f, 0x03, 0x1b, 0xe1, 0xde, 0x13, 0xf6, 0x19, 0xff, 0xf6, 0x1b, 0x18,
|
|
||||||
0xf0, 0x1c, 0xda, 0x1b, 0x1b, 0x20, 0xe5, 0x1a, 0xf5, 0xff, 0x96, 0x0b,
|
|
||||||
0x00, 0x01, 0xcd, 0xde, 0x0d, 0xf6, 0x16, 0xe3, 0xed, 0xfc, 0x0e, 0xe9,
|
|
||||||
0xfa, 0xeb, 0x5c, 0xfc, 0x1d, 0x02, 0x5b, 0xe2, 0xe1, 0xf5, 0x15, 0xec,
|
|
||||||
0xf4, 0x00, 0x13, 0x05, 0xec, 0x0c, 0x1d, 0x14, 0x0e, 0xe7, 0x0b, 0xf4,
|
|
||||||
0x19, 0x00, 0xd7, 0x05, 0x27, 0x02, 0x15, 0xea, 0xea, 0x02, 0x9b, 0x00,
|
|
||||||
0x0c, 0xfa, 0xe8, 0xea, 0xfd, 0x00, 0x14, 0xfd, 0x0b, 0x02, 0xef, 0xee,
|
|
||||||
0x06, 0xee, 0x01, 0x0d, 0x06, 0xe6, 0xf7, 0x11, 0xf7, 0x09, 0xf8, 0xf1,
|
|
||||||
0x21, 0xff, 0x0e, 0xf3, 0xec, 0x12, 0x26, 0x1d, 0xf2, 0xe9, 0x28, 0x18,
|
|
||||||
0xe0, 0xfb, 0xf3, 0xf4, 0x05, 0x1d, 0x1d, 0xfb, 0xfd, 0x1e, 0xfc, 0x11,
|
|
||||||
0xe8, 0x07, 0x09, 0x03, 0x12, 0xf2, 0x36, 0xfb, 0xdc, 0x1c, 0xf9, 0xef,
|
|
||||||
0xf3, 0xe7, 0x6f, 0x0c, 0x1d, 0x00, 0x45, 0xfd, 0x0e, 0xf0, 0x0b, 0x19,
|
|
||||||
0x1a, 0xfa, 0xe0, 0x19, 0x1f, 0x13, 0x36, 0x1c, 0x12, 0xeb, 0x3b, 0x0c,
|
|
||||||
0xb4, 0xcb, 0xe6, 0x13, 0xfa, 0xeb, 0xf1, 0x06, 0x1c, 0xfa, 0x18, 0xe5,
|
|
||||||
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|
||||||
0x18, 0x00, 0x17, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x00, 0x00,
|
|
||||||
0x00, 0x00, 0x04, 0x00, 0x14, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00,
|
|
||||||
0x2c, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
|
|
||||||
0x00, 0x00, 0x00, 0x09, 0x84, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
|
|
||||||
0xff, 0xff, 0xff, 0xff, 0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x14, 0x00,
|
|
||||||
0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
|
|
||||||
0x10, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00,
|
|
||||||
0x24, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x80, 0xff, 0xff, 0xff,
|
|
||||||
0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
|
|
||||||
0x5d, 0x4f, 0xc9, 0x3c, 0x01, 0x00, 0x00, 0x00, 0x0e, 0x86, 0xc8, 0x40,
|
|
||||||
0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00,
|
|
||||||
0x73, 0x65, 0x72, 0x76, 0x69, 0x6e, 0x67, 0x5f, 0x64, 0x65, 0x66, 0x61,
|
|
||||||
0x75, 0x6c, 0x74, 0x5f, 0x64, 0x65, 0x6e, 0x73, 0x65, 0x5f, 0x32, 0x5f,
|
|
||||||
0x69, 0x6e, 0x70, 0x75, 0x74, 0x3a, 0x30, 0x5f, 0x69, 0x6e, 0x74, 0x38,
|
|
||||||
0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
|
|
||||||
0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00,
|
|
||||||
0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xd8, 0xff, 0xff, 0xff,
|
|
||||||
0x06, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06,
|
|
||||||
0x0c, 0x00, 0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00,
|
|
||||||
0x0c, 0x00, 0x00, 0x00, 0x72, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x72,
|
|
||||||
0x0c, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00,
|
|
||||||
0x0c, 0x00, 0x00, 0x00, 0x09, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
|
|
||||||
0x00, 0x00, 0x00, 0x09};
|
|
||||||
const int g_model_len = 2488;
|
|
||||||
|
|
@ -1,31 +0,0 @@
|
||||||
/* 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
|
|
||||||
|
|
||||||
http://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.
|
|
||||||
==============================================================================*/
|
|
||||||
|
|
||||||
// Automatically created from a TensorFlow Lite flatbuffer using the command:
|
|
||||||
// xxd -i model.tflite > model.cc
|
|
||||||
|
|
||||||
// This is a standard TensorFlow Lite model file that has been converted into a
|
|
||||||
// C data array, so it can be easily compiled into a binary for devices that
|
|
||||||
// don't have a file system.
|
|
||||||
|
|
||||||
// See train/README.md for a full description of the creation process.
|
|
||||||
|
|
||||||
#ifndef TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MODEL_H_
|
|
||||||
#define TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MODEL_H_
|
|
||||||
|
|
||||||
extern const unsigned char g_model[];
|
|
||||||
extern const int g_model_len;
|
|
||||||
|
|
||||||
#endif // TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_MODEL_H_
|
|
||||||
|
|
@ -1,24 +0,0 @@
|
||||||
/* Copyright 2019 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
|
|
||||||
|
|
||||||
http://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.
|
|
||||||
==============================================================================*/
|
|
||||||
|
|
||||||
#include "output_handler.h"
|
|
||||||
|
|
||||||
void HandleOutput(tflite::ErrorReporter* error_reporter, float x_value,
|
|
||||||
float y_value) {
|
|
||||||
// Log the current X and Y values
|
|
||||||
TF_LITE_REPORT_ERROR(error_reporter, "x_value: %f, y_value: %f\n",
|
|
||||||
static_cast<double>(x_value),
|
|
||||||
static_cast<double>(y_value));
|
|
||||||
}
|
|
||||||
|
|
@ -1,26 +0,0 @@
|
||||||
/* Copyright 2019 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
|
|
||||||
|
|
||||||
http://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.
|
|
||||||
==============================================================================*/
|
|
||||||
|
|
||||||
#ifndef TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_OUTPUT_HANDLER_H_
|
|
||||||
#define TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_OUTPUT_HANDLER_H_
|
|
||||||
|
|
||||||
#include "tensorflow/lite/c/common.h"
|
|
||||||
#include "tensorflow/lite/micro/micro_error_reporter.h"
|
|
||||||
|
|
||||||
// Called by the main loop to produce some output based on the x and y values
|
|
||||||
void HandleOutput(tflite::ErrorReporter* error_reporter, float x_value,
|
|
||||||
float y_value);
|
|
||||||
|
|
||||||
#endif // TENSORFLOW_LITE_MICRO_EXAMPLES_HELLO_WORLD_OUTPUT_HANDLER_H_
|
|
||||||
|
|
@ -1,33 +0,0 @@
|
||||||
/* Copyright 2019 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
|
|
||||||
|
|
||||||
http://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.
|
|
||||||
==============================================================================*/
|
|
||||||
|
|
||||||
#include <xiuos.h>
|
|
||||||
#include "main_functions.h"
|
|
||||||
|
|
||||||
// This is the default main used on systems that have the standard C entry
|
|
||||||
// point. Other devices (for example FreeRTOS or ESP32) that have different
|
|
||||||
// requirements for entry code (like an app_main function) should specialize
|
|
||||||
// this main.cc file in a target-specific subfolder.
|
|
||||||
int tfsin(void) {
|
|
||||||
setup();
|
|
||||||
int count = 10;
|
|
||||||
while (count--) {
|
|
||||||
loop();
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
SHELL_EXPORT_CMD(SHELL_CMD_PERMISSION(0)|SHELL_CMD_TYPE(SHELL_TYPE_CMD_FUNC)|SHELL_CMD_PARAM_NUM(0), tfsin, tfsin, run sin demo of tflite);
|
|
||||||
3
APP_Framework/Framework/know/Kconfig → APP_Framework/Framework/knowing/Kconfig
Executable file → Normal file
3
APP_Framework/Framework/know/Kconfig → APP_Framework/Framework/knowing/Kconfig
Executable file → Normal file
|
|
@ -3,6 +3,5 @@ menuconfig SUPPORT_KNOWING_FRAMEWORK
|
||||||
default y
|
default y
|
||||||
|
|
||||||
if SUPPORT_KNOWING_FRAMEWORK
|
if SUPPORT_KNOWING_FRAMEWORK
|
||||||
source "$APP_DIR/Framework/know/tflite_sin/Kconfig"
|
|
||||||
source "$APP_DIR/Framework/know/tflite_mnist/Kconfig"
|
|
||||||
endif
|
endif
|
||||||
0
APP_Framework/Framework/know/Makefile → APP_Framework/Framework/knowing/Makefile
Executable file → Normal file
0
APP_Framework/Framework/know/Makefile → APP_Framework/Framework/knowing/Makefile
Executable file → Normal file
|
|
@ -394,11 +394,58 @@ CONFIG_PKG_KENDRYTE_SDK_VERNUM=0x0055
|
||||||
# CONFIG_PKG_USING_RW007 is not set
|
# CONFIG_PKG_USING_RW007 is not set
|
||||||
# CONFIG_DRV_USING_OV2640 is not set
|
# CONFIG_DRV_USING_OV2640 is not set
|
||||||
|
|
||||||
|
#
|
||||||
|
# APP_Framework
|
||||||
|
#
|
||||||
|
|
||||||
#
|
#
|
||||||
# Applications
|
# Applications
|
||||||
#
|
#
|
||||||
|
|
||||||
|
#
|
||||||
|
# config stack size and priority of main task
|
||||||
|
#
|
||||||
|
CONFIG_MAIN_KTASK_STACK_SIZE=1024
|
||||||
|
|
||||||
|
#
|
||||||
|
# test app
|
||||||
|
#
|
||||||
|
# CONFIG_USER_TEST is not set
|
||||||
|
|
||||||
|
#
|
||||||
|
# connection app
|
||||||
|
#
|
||||||
|
|
||||||
|
#
|
||||||
|
# control app
|
||||||
|
#
|
||||||
|
# CONFIG_APPLICATION_CONTROL is not set
|
||||||
|
|
||||||
|
#
|
||||||
|
# knowing app
|
||||||
|
#
|
||||||
|
# CONFIG_APPLICATION_KNOWING is not set
|
||||||
|
|
||||||
|
#
|
||||||
|
# sensor app
|
||||||
|
#
|
||||||
|
# CONFIG_APPLICATION_SENSOR is not set
|
||||||
|
|
||||||
#
|
#
|
||||||
# Framework
|
# Framework
|
||||||
#
|
#
|
||||||
|
CONFIG_TRANSFORM_LAYER_ATTRIUBUTE=y
|
||||||
|
CONFIG_ADD_XIUOS_FETURES=y
|
||||||
|
# CONFIG_ADD_NUTTX_FETURES is not set
|
||||||
|
# CONFIG_ADD_RTTHREAD_FETURES is not set
|
||||||
|
# CONFIG_SUPPORT_SENSOR_FRAMEWORK is not set
|
||||||
|
# CONFIG_SUPPORT_CONNECTION_FRAMEWORK is not set
|
||||||
|
CONFIG_SUPPORT_KNOWING_FRAMEWORK=y
|
||||||
|
# CONFIG_SUPPORT_CONTROL_FRAMEWORK is not set
|
||||||
|
|
||||||
|
#
|
||||||
|
# app lib
|
||||||
|
#
|
||||||
|
CONFIG_APP_SELECT_NEWLIB=y
|
||||||
|
# CONFIG_APP_SELECT_OTHER_LIB is not set
|
||||||
CONFIG___STACKSIZE__=4096
|
CONFIG___STACKSIZE__=4096
|
||||||
|
|
|
||||||
|
|
@ -24,12 +24,15 @@ config BOARD_K210_EVB
|
||||||
select RT_USING_USER_MAIN
|
select RT_USING_USER_MAIN
|
||||||
default y
|
default y
|
||||||
|
|
||||||
|
config APP_DIR
|
||||||
|
string
|
||||||
|
default "../../../../APP_Framework"
|
||||||
|
|
||||||
source "$RTT_DIR/Kconfig"
|
source "$RTT_DIR/Kconfig"
|
||||||
source "base-drivers/Kconfig"
|
source "base-drivers/Kconfig"
|
||||||
source "kendryte-sdk/Kconfig"
|
source "kendryte-sdk/Kconfig"
|
||||||
source "$RT_Thread_DIR/drivers/Kconfig"
|
source "$RT_Thread_DIR/drivers/Kconfig"
|
||||||
source "$ROOT_DIR/APP_Framework/Applications/Kconfig"
|
source "$ROOT_DIR/APP_Framework/Kconfig"
|
||||||
source "$ROOT_DIR/APP_Framework/Framework/Kconfig"
|
|
||||||
|
|
||||||
config __STACKSIZE__
|
config __STACKSIZE__
|
||||||
int "stack size for interrupt"
|
int "stack size for interrupt"
|
||||||
|
|
|
||||||
|
|
@ -263,10 +263,37 @@
|
||||||
/* More Drivers */
|
/* More Drivers */
|
||||||
|
|
||||||
|
|
||||||
|
/* APP_Framework */
|
||||||
|
|
||||||
/* Applications */
|
/* Applications */
|
||||||
|
|
||||||
|
/* config stack size and priority of main task */
|
||||||
|
|
||||||
|
#define MAIN_KTASK_STACK_SIZE 1024
|
||||||
|
|
||||||
|
/* test app */
|
||||||
|
|
||||||
|
|
||||||
|
/* connection app */
|
||||||
|
|
||||||
|
/* control app */
|
||||||
|
|
||||||
|
|
||||||
|
/* knowing app */
|
||||||
|
|
||||||
|
|
||||||
|
/* sensor app */
|
||||||
|
|
||||||
|
|
||||||
/* Framework */
|
/* Framework */
|
||||||
|
|
||||||
|
#define TRANSFORM_LAYER_ATTRIUBUTE
|
||||||
|
#define ADD_XIUOS_FETURES
|
||||||
|
#define SUPPORT_KNOWING_FRAMEWORK
|
||||||
|
|
||||||
|
/* app lib */
|
||||||
|
|
||||||
|
#define APP_SELECT_NEWLIB
|
||||||
#define __STACKSIZE__ 4096
|
#define __STACKSIZE__ 4096
|
||||||
|
|
||||||
#endif
|
#endif
|
||||||
|
|
|
||||||
|
|
@ -34,7 +34,7 @@ CONFIG_RT_TIMER_THREAD_STACK_SIZE=512
|
||||||
# CONFIG_RT_KSERVICE_USING_STDLIB is not set
|
# CONFIG_RT_KSERVICE_USING_STDLIB is not set
|
||||||
# CONFIG_RT_KSERVICE_USING_TINY_SIZE is not set
|
# CONFIG_RT_KSERVICE_USING_TINY_SIZE is not set
|
||||||
CONFIG_RT_DEBUG=y
|
CONFIG_RT_DEBUG=y
|
||||||
CONFIG_RT_DEBUG_COLOR=y
|
# CONFIG_RT_DEBUG_COLOR is not set
|
||||||
# CONFIG_RT_DEBUG_INIT_CONFIG is not set
|
# CONFIG_RT_DEBUG_INIT_CONFIG is not set
|
||||||
# CONFIG_RT_DEBUG_THREAD_CONFIG is not set
|
# CONFIG_RT_DEBUG_THREAD_CONFIG is not set
|
||||||
# CONFIG_RT_DEBUG_SCHEDULER_CONFIG is not set
|
# CONFIG_RT_DEBUG_SCHEDULER_CONFIG is not set
|
||||||
|
|
@ -60,11 +60,10 @@ CONFIG_RT_USING_MESSAGEQUEUE=y
|
||||||
# Memory Management
|
# Memory Management
|
||||||
#
|
#
|
||||||
CONFIG_RT_USING_MEMPOOL=y
|
CONFIG_RT_USING_MEMPOOL=y
|
||||||
CONFIG_RT_USING_MEMHEAP=y
|
# CONFIG_RT_USING_MEMHEAP is not set
|
||||||
# CONFIG_RT_USING_NOHEAP is not set
|
# CONFIG_RT_USING_NOHEAP is not set
|
||||||
# CONFIG_RT_USING_SMALL_MEM is not set
|
CONFIG_RT_USING_SMALL_MEM=y
|
||||||
# CONFIG_RT_USING_SLAB is not set
|
# CONFIG_RT_USING_SLAB is not set
|
||||||
CONFIG_RT_USING_MEMHEAP_AS_HEAP=y
|
|
||||||
# CONFIG_RT_USING_USERHEAP is not set
|
# CONFIG_RT_USING_USERHEAP is not set
|
||||||
# CONFIG_RT_USING_MEMTRACE is not set
|
# CONFIG_RT_USING_MEMTRACE is not set
|
||||||
CONFIG_RT_USING_HEAP=y
|
CONFIG_RT_USING_HEAP=y
|
||||||
|
|
@ -77,7 +76,7 @@ CONFIG_RT_USING_DEVICE=y
|
||||||
# CONFIG_RT_USING_INTERRUPT_INFO is not set
|
# CONFIG_RT_USING_INTERRUPT_INFO is not set
|
||||||
CONFIG_RT_USING_CONSOLE=y
|
CONFIG_RT_USING_CONSOLE=y
|
||||||
CONFIG_RT_CONSOLEBUF_SIZE=128
|
CONFIG_RT_CONSOLEBUF_SIZE=128
|
||||||
CONFIG_RT_CONSOLE_DEVICE_NAME="uart1"
|
CONFIG_RT_CONSOLE_DEVICE_NAME="uart"
|
||||||
CONFIG_RT_VER_NUM=0x40004
|
CONFIG_RT_VER_NUM=0x40004
|
||||||
CONFIG_ARCH_ARM=y
|
CONFIG_ARCH_ARM=y
|
||||||
CONFIG_RT_USING_CPU_FFS=y
|
CONFIG_RT_USING_CPU_FFS=y
|
||||||
|
|
@ -96,7 +95,7 @@ CONFIG_RT_MAIN_THREAD_PRIORITY=10
|
||||||
#
|
#
|
||||||
# C++ features
|
# C++ features
|
||||||
#
|
#
|
||||||
CONFIG_RT_USING_CPLUSPLUS=y
|
# CONFIG_RT_USING_CPLUSPLUS is not set
|
||||||
|
|
||||||
#
|
#
|
||||||
# Command shell
|
# Command shell
|
||||||
|
|
@ -114,7 +113,7 @@ CONFIG_FINSH_CMD_SIZE=80
|
||||||
# CONFIG_FINSH_USING_AUTH is not set
|
# CONFIG_FINSH_USING_AUTH is not set
|
||||||
CONFIG_FINSH_USING_MSH=y
|
CONFIG_FINSH_USING_MSH=y
|
||||||
CONFIG_FINSH_USING_MSH_DEFAULT=y
|
CONFIG_FINSH_USING_MSH_DEFAULT=y
|
||||||
CONFIG_FINSH_USING_MSH_ONLY=y
|
# CONFIG_FINSH_USING_MSH_ONLY is not set
|
||||||
CONFIG_FINSH_ARG_MAX=10
|
CONFIG_FINSH_ARG_MAX=10
|
||||||
|
|
||||||
#
|
#
|
||||||
|
|
@ -122,8 +121,8 @@ CONFIG_FINSH_ARG_MAX=10
|
||||||
#
|
#
|
||||||
CONFIG_RT_USING_DFS=y
|
CONFIG_RT_USING_DFS=y
|
||||||
CONFIG_DFS_USING_WORKDIR=y
|
CONFIG_DFS_USING_WORKDIR=y
|
||||||
CONFIG_DFS_FILESYSTEMS_MAX=2
|
CONFIG_DFS_FILESYSTEMS_MAX=4
|
||||||
CONFIG_DFS_FILESYSTEM_TYPES_MAX=2
|
CONFIG_DFS_FILESYSTEM_TYPES_MAX=4
|
||||||
CONFIG_DFS_FD_MAX=16
|
CONFIG_DFS_FD_MAX=16
|
||||||
# CONFIG_RT_USING_DFS_MNTTABLE is not set
|
# CONFIG_RT_USING_DFS_MNTTABLE is not set
|
||||||
CONFIG_RT_USING_DFS_ELMFAT=y
|
CONFIG_RT_USING_DFS_ELMFAT=y
|
||||||
|
|
@ -151,16 +150,13 @@ CONFIG_RT_DFS_ELM_REENTRANT=y
|
||||||
CONFIG_RT_USING_DFS_DEVFS=y
|
CONFIG_RT_USING_DFS_DEVFS=y
|
||||||
# CONFIG_RT_USING_DFS_ROMFS is not set
|
# CONFIG_RT_USING_DFS_ROMFS is not set
|
||||||
# CONFIG_RT_USING_DFS_RAMFS is not set
|
# CONFIG_RT_USING_DFS_RAMFS is not set
|
||||||
# CONFIG_RT_USING_DFS_NFS is not set
|
|
||||||
|
|
||||||
#
|
#
|
||||||
# Device Drivers
|
# Device Drivers
|
||||||
#
|
#
|
||||||
CONFIG_RT_USING_DEVICE_IPC=y
|
CONFIG_RT_USING_DEVICE_IPC=y
|
||||||
CONFIG_RT_PIPE_BUFSZ=512
|
CONFIG_RT_PIPE_BUFSZ=512
|
||||||
CONFIG_RT_USING_SYSTEM_WORKQUEUE=y
|
# CONFIG_RT_USING_SYSTEM_WORKQUEUE is not set
|
||||||
CONFIG_RT_SYSTEM_WORKQUEUE_STACKSIZE=2048
|
|
||||||
CONFIG_RT_SYSTEM_WORKQUEUE_PRIORITY=23
|
|
||||||
CONFIG_RT_USING_SERIAL=y
|
CONFIG_RT_USING_SERIAL=y
|
||||||
CONFIG_RT_SERIAL_USING_DMA=y
|
CONFIG_RT_SERIAL_USING_DMA=y
|
||||||
CONFIG_RT_SERIAL_RB_BUFSZ=64
|
CONFIG_RT_SERIAL_RB_BUFSZ=64
|
||||||
|
|
@ -194,33 +190,7 @@ CONFIG_RT_USING_SPI_MSD=y
|
||||||
# CONFIG_RT_USING_HWCRYPTO is not set
|
# CONFIG_RT_USING_HWCRYPTO is not set
|
||||||
# CONFIG_RT_USING_PULSE_ENCODER is not set
|
# CONFIG_RT_USING_PULSE_ENCODER is not set
|
||||||
# CONFIG_RT_USING_INPUT_CAPTURE is not set
|
# CONFIG_RT_USING_INPUT_CAPTURE is not set
|
||||||
CONFIG_RT_USING_WIFI=y
|
# CONFIG_RT_USING_WIFI is not set
|
||||||
CONFIG_RT_WLAN_DEVICE_STA_NAME="wlan0"
|
|
||||||
CONFIG_RT_WLAN_DEVICE_AP_NAME="wlan1"
|
|
||||||
CONFIG_RT_WLAN_SSID_MAX_LENGTH=32
|
|
||||||
CONFIG_RT_WLAN_PASSWORD_MAX_LENGTH=32
|
|
||||||
CONFIG_RT_WLAN_DEV_EVENT_NUM=2
|
|
||||||
CONFIG_RT_WLAN_MANAGE_ENABLE=y
|
|
||||||
CONFIG_RT_WLAN_SCAN_WAIT_MS=10000
|
|
||||||
CONFIG_RT_WLAN_CONNECT_WAIT_MS=10000
|
|
||||||
CONFIG_RT_WLAN_SCAN_SORT=y
|
|
||||||
CONFIG_RT_WLAN_MSH_CMD_ENABLE=y
|
|
||||||
CONFIG_RT_WLAN_AUTO_CONNECT_ENABLE=y
|
|
||||||
CONFIG_AUTO_CONNECTION_PERIOD_MS=2000
|
|
||||||
CONFIG_RT_WLAN_CFG_ENABLE=y
|
|
||||||
CONFIG_RT_WLAN_CFG_INFO_MAX=3
|
|
||||||
CONFIG_RT_WLAN_PROT_ENABLE=y
|
|
||||||
CONFIG_RT_WLAN_PROT_NAME_LEN=8
|
|
||||||
CONFIG_RT_WLAN_PROT_MAX=2
|
|
||||||
CONFIG_RT_WLAN_DEFAULT_PROT="lwip"
|
|
||||||
CONFIG_RT_WLAN_PROT_LWIP_ENABLE=y
|
|
||||||
CONFIG_RT_WLAN_PROT_LWIP_NAME="lwip"
|
|
||||||
# CONFIG_RT_WLAN_PROT_LWIP_PBUF_FORCE is not set
|
|
||||||
CONFIG_RT_WLAN_WORK_THREAD_ENABLE=y
|
|
||||||
CONFIG_RT_WLAN_WORKQUEUE_THREAD_NAME="wlan"
|
|
||||||
CONFIG_RT_WLAN_WORKQUEUE_THREAD_SIZE=2048
|
|
||||||
CONFIG_RT_WLAN_WORKQUEUE_THREAD_PRIO=15
|
|
||||||
# CONFIG_RT_WLAN_DEBUG is not set
|
|
||||||
|
|
||||||
#
|
#
|
||||||
# Using USB
|
# Using USB
|
||||||
|
|
@ -248,91 +218,22 @@ CONFIG_RT_LIBC_FIXED_TIMEZONE=8
|
||||||
#
|
#
|
||||||
# Socket abstraction layer
|
# Socket abstraction layer
|
||||||
#
|
#
|
||||||
CONFIG_RT_USING_SAL=y
|
# CONFIG_RT_USING_SAL is not set
|
||||||
CONFIG_SAL_INTERNET_CHECK=y
|
|
||||||
|
|
||||||
#
|
|
||||||
# protocol stack implement
|
|
||||||
#
|
|
||||||
CONFIG_SAL_USING_LWIP=y
|
|
||||||
CONFIG_SAL_USING_POSIX=y
|
|
||||||
|
|
||||||
#
|
#
|
||||||
# Network interface device
|
# Network interface device
|
||||||
#
|
#
|
||||||
CONFIG_RT_USING_NETDEV=y
|
# CONFIG_RT_USING_NETDEV is not set
|
||||||
CONFIG_NETDEV_USING_IFCONFIG=y
|
|
||||||
CONFIG_NETDEV_USING_PING=y
|
|
||||||
CONFIG_NETDEV_USING_NETSTAT=y
|
|
||||||
CONFIG_NETDEV_USING_AUTO_DEFAULT=y
|
|
||||||
# CONFIG_NETDEV_USING_IPV6 is not set
|
|
||||||
CONFIG_NETDEV_IPV4=1
|
|
||||||
CONFIG_NETDEV_IPV6=0
|
|
||||||
# CONFIG_NETDEV_IPV6_SCOPES is not set
|
|
||||||
|
|
||||||
#
|
#
|
||||||
# light weight TCP/IP stack
|
# light weight TCP/IP stack
|
||||||
#
|
#
|
||||||
CONFIG_RT_USING_LWIP=y
|
# CONFIG_RT_USING_LWIP is not set
|
||||||
# CONFIG_RT_USING_LWIP141 is not set
|
|
||||||
CONFIG_RT_USING_LWIP202=y
|
|
||||||
# CONFIG_RT_USING_LWIP212 is not set
|
|
||||||
# CONFIG_RT_USING_LWIP_IPV6 is not set
|
|
||||||
CONFIG_RT_LWIP_MEM_ALIGNMENT=4
|
|
||||||
CONFIG_RT_LWIP_IGMP=y
|
|
||||||
CONFIG_RT_LWIP_ICMP=y
|
|
||||||
# CONFIG_RT_LWIP_SNMP is not set
|
|
||||||
CONFIG_RT_LWIP_DNS=y
|
|
||||||
CONFIG_RT_LWIP_DHCP=y
|
|
||||||
CONFIG_IP_SOF_BROADCAST=1
|
|
||||||
CONFIG_IP_SOF_BROADCAST_RECV=1
|
|
||||||
|
|
||||||
#
|
|
||||||
# Static IPv4 Address
|
|
||||||
#
|
|
||||||
CONFIG_RT_LWIP_IPADDR="192.168.1.30"
|
|
||||||
CONFIG_RT_LWIP_GWADDR="192.168.1.1"
|
|
||||||
CONFIG_RT_LWIP_MSKADDR="255.255.255.0"
|
|
||||||
CONFIG_RT_LWIP_UDP=y
|
|
||||||
CONFIG_RT_LWIP_TCP=y
|
|
||||||
CONFIG_RT_LWIP_RAW=y
|
|
||||||
# CONFIG_RT_LWIP_PPP is not set
|
|
||||||
CONFIG_RT_MEMP_NUM_NETCONN=8
|
|
||||||
CONFIG_RT_LWIP_PBUF_NUM=16
|
|
||||||
CONFIG_RT_LWIP_RAW_PCB_NUM=4
|
|
||||||
CONFIG_RT_LWIP_UDP_PCB_NUM=4
|
|
||||||
CONFIG_RT_LWIP_TCP_PCB_NUM=4
|
|
||||||
CONFIG_RT_LWIP_TCP_SEG_NUM=40
|
|
||||||
CONFIG_RT_LWIP_TCP_SND_BUF=8196
|
|
||||||
CONFIG_RT_LWIP_TCP_WND=8196
|
|
||||||
CONFIG_RT_LWIP_TCPTHREAD_PRIORITY=10
|
|
||||||
CONFIG_RT_LWIP_TCPTHREAD_MBOX_SIZE=8
|
|
||||||
CONFIG_RT_LWIP_TCPTHREAD_STACKSIZE=1024
|
|
||||||
# CONFIG_LWIP_NO_RX_THREAD is not set
|
|
||||||
# CONFIG_LWIP_NO_TX_THREAD is not set
|
|
||||||
CONFIG_RT_LWIP_ETHTHREAD_PRIORITY=12
|
|
||||||
CONFIG_RT_LWIP_ETHTHREAD_STACKSIZE=1024
|
|
||||||
CONFIG_RT_LWIP_ETHTHREAD_MBOX_SIZE=8
|
|
||||||
# CONFIG_RT_LWIP_REASSEMBLY_FRAG is not set
|
|
||||||
CONFIG_LWIP_NETIF_STATUS_CALLBACK=1
|
|
||||||
CONFIG_LWIP_NETIF_LINK_CALLBACK=1
|
|
||||||
CONFIG_SO_REUSE=1
|
|
||||||
CONFIG_LWIP_SO_RCVTIMEO=1
|
|
||||||
CONFIG_LWIP_SO_SNDTIMEO=1
|
|
||||||
CONFIG_LWIP_SO_RCVBUF=1
|
|
||||||
CONFIG_LWIP_SO_LINGER=0
|
|
||||||
# CONFIG_RT_LWIP_NETIF_LOOPBACK is not set
|
|
||||||
CONFIG_LWIP_NETIF_LOOPBACK=0
|
|
||||||
# CONFIG_RT_LWIP_STATS is not set
|
|
||||||
# CONFIG_RT_LWIP_USING_HW_CHECKSUM is not set
|
|
||||||
CONFIG_RT_LWIP_USING_PING=y
|
|
||||||
# CONFIG_RT_LWIP_DEBUG is not set
|
|
||||||
|
|
||||||
#
|
#
|
||||||
# AT commands
|
# AT commands
|
||||||
#
|
#
|
||||||
# CONFIG_RT_USING_AT is not set
|
# CONFIG_RT_USING_AT is not set
|
||||||
# CONFIG_LWIP_USING_DHCPD is not set
|
|
||||||
|
|
||||||
#
|
#
|
||||||
# VBUS(Virtual Software BUS)
|
# VBUS(Virtual Software BUS)
|
||||||
|
|
@ -423,14 +324,64 @@ CONFIG_BSP_USING_FMC=y
|
||||||
# More Drivers
|
# More Drivers
|
||||||
#
|
#
|
||||||
# CONFIG_PKG_USING_RW007 is not set
|
# CONFIG_PKG_USING_RW007 is not set
|
||||||
# CONFIG_RW007_NOT_USE_EXAMPLE_DRIVERS is not set
|
|
||||||
# CONFIG_RW007_USING_STM32_DRIVERS is not set
|
|
||||||
# CONFIG_DRV_USING_OV2640 is not set
|
# CONFIG_DRV_USING_OV2640 is not set
|
||||||
|
|
||||||
|
#
|
||||||
|
# APP_Framework
|
||||||
|
#
|
||||||
|
|
||||||
#
|
#
|
||||||
# Applications
|
# Applications
|
||||||
#
|
#
|
||||||
|
|
||||||
|
#
|
||||||
|
# config stack size and priority of main task
|
||||||
|
#
|
||||||
|
CONFIG_MAIN_KTASK_STACK_SIZE=1024
|
||||||
|
|
||||||
|
#
|
||||||
|
# test app
|
||||||
|
#
|
||||||
|
# CONFIG_USER_TEST is not set
|
||||||
|
|
||||||
|
#
|
||||||
|
# connection app
|
||||||
|
#
|
||||||
|
|
||||||
|
#
|
||||||
|
# control app
|
||||||
|
#
|
||||||
|
# CONFIG_APPLICATION_CONTROL is not set
|
||||||
|
|
||||||
|
#
|
||||||
|
# knowing app
|
||||||
|
#
|
||||||
|
# CONFIG_APPLICATION_KNOWING is not set
|
||||||
|
|
||||||
|
#
|
||||||
|
# sensor app
|
||||||
|
#
|
||||||
|
# CONFIG_APPLICATION_SENSOR is not set
|
||||||
|
|
||||||
#
|
#
|
||||||
# Framework
|
# Framework
|
||||||
#
|
#
|
||||||
|
CONFIG_TRANSFORM_LAYER_ATTRIUBUTE=y
|
||||||
|
CONFIG_ADD_XIUOS_FETURES=y
|
||||||
|
# CONFIG_ADD_NUTTX_FETURES is not set
|
||||||
|
# CONFIG_ADD_RTTHREAD_FETURES is not set
|
||||||
|
CONFIG_SUPPORT_SENSOR_FRAMEWORK=y
|
||||||
|
# CONFIG_SENSOR_CO2 is not set
|
||||||
|
# CONFIG_SENSOR_PM is not set
|
||||||
|
# CONFIG_SENSOR_VOICE is not set
|
||||||
|
# CONFIG_SENSOR_TEMPERATURE is not set
|
||||||
|
# CONFIG_SENSOR_HUMIDITY is not set
|
||||||
|
# CONFIG_SUPPORT_CONNECTION_FRAMEWORK is not set
|
||||||
|
CONFIG_SUPPORT_KNOWING_FRAMEWORK=y
|
||||||
|
# CONFIG_SUPPORT_CONTROL_FRAMEWORK is not set
|
||||||
|
|
||||||
|
#
|
||||||
|
# app lib
|
||||||
|
#
|
||||||
|
CONFIG_APP_SELECT_NEWLIB=y
|
||||||
|
# CONFIG_APP_SELECT_OTHER_LIB is not set
|
||||||
|
|
|
||||||
|
|
@ -16,9 +16,14 @@ config RTT_DIR
|
||||||
string
|
string
|
||||||
default "../../rt-thread"
|
default "../../rt-thread"
|
||||||
|
|
||||||
|
|
||||||
|
config APP_DIR
|
||||||
|
string
|
||||||
|
default "../../../../APP_Framework"
|
||||||
|
|
||||||
source "$RTT_DIR/Kconfig"
|
source "$RTT_DIR/Kconfig"
|
||||||
source "$RTT_DIR/bsp/stm32/libraries/Kconfig"
|
source "$RTT_DIR/bsp/stm32/libraries/Kconfig"
|
||||||
source "board/Kconfig"
|
source "board/Kconfig"
|
||||||
source "$RT_Thread_DIR/drivers/Kconfig"
|
source "$RT_Thread_DIR/drivers/Kconfig"
|
||||||
source "$ROOT_DIR/APP_Framework/Applications/Kconfig"
|
source "$ROOT_DIR/APP_Framework/Kconfig"
|
||||||
source "$ROOT_DIR/APP_Framework/Framework/Kconfig"
|
|
||||||
|
|
|
||||||
|
|
@ -28,7 +28,6 @@
|
||||||
/* kservice optimization */
|
/* kservice optimization */
|
||||||
|
|
||||||
#define RT_DEBUG
|
#define RT_DEBUG
|
||||||
#define RT_DEBUG_COLOR
|
|
||||||
|
|
||||||
/* Inter-Thread communication */
|
/* Inter-Thread communication */
|
||||||
|
|
||||||
|
|
@ -41,8 +40,7 @@
|
||||||
/* Memory Management */
|
/* Memory Management */
|
||||||
|
|
||||||
#define RT_USING_MEMPOOL
|
#define RT_USING_MEMPOOL
|
||||||
#define RT_USING_MEMHEAP
|
#define RT_USING_SMALL_MEM
|
||||||
#define RT_USING_MEMHEAP_AS_HEAP
|
|
||||||
#define RT_USING_HEAP
|
#define RT_USING_HEAP
|
||||||
|
|
||||||
/* Kernel Device Object */
|
/* Kernel Device Object */
|
||||||
|
|
@ -50,7 +48,7 @@
|
||||||
#define RT_USING_DEVICE
|
#define RT_USING_DEVICE
|
||||||
#define RT_USING_CONSOLE
|
#define RT_USING_CONSOLE
|
||||||
#define RT_CONSOLEBUF_SIZE 128
|
#define RT_CONSOLEBUF_SIZE 128
|
||||||
#define RT_CONSOLE_DEVICE_NAME "uart1"
|
#define RT_CONSOLE_DEVICE_NAME "uart"
|
||||||
#define RT_VER_NUM 0x40004
|
#define RT_VER_NUM 0x40004
|
||||||
#define ARCH_ARM
|
#define ARCH_ARM
|
||||||
#define RT_USING_CPU_FFS
|
#define RT_USING_CPU_FFS
|
||||||
|
|
@ -66,7 +64,6 @@
|
||||||
|
|
||||||
/* C++ features */
|
/* C++ features */
|
||||||
|
|
||||||
#define RT_USING_CPLUSPLUS
|
|
||||||
|
|
||||||
/* Command shell */
|
/* Command shell */
|
||||||
|
|
||||||
|
|
@ -81,15 +78,14 @@
|
||||||
#define FINSH_CMD_SIZE 80
|
#define FINSH_CMD_SIZE 80
|
||||||
#define FINSH_USING_MSH
|
#define FINSH_USING_MSH
|
||||||
#define FINSH_USING_MSH_DEFAULT
|
#define FINSH_USING_MSH_DEFAULT
|
||||||
#define FINSH_USING_MSH_ONLY
|
|
||||||
#define FINSH_ARG_MAX 10
|
#define FINSH_ARG_MAX 10
|
||||||
|
|
||||||
/* Device virtual file system */
|
/* Device virtual file system */
|
||||||
|
|
||||||
#define RT_USING_DFS
|
#define RT_USING_DFS
|
||||||
#define DFS_USING_WORKDIR
|
#define DFS_USING_WORKDIR
|
||||||
#define DFS_FILESYSTEMS_MAX 2
|
#define DFS_FILESYSTEMS_MAX 4
|
||||||
#define DFS_FILESYSTEM_TYPES_MAX 2
|
#define DFS_FILESYSTEM_TYPES_MAX 4
|
||||||
#define DFS_FD_MAX 16
|
#define DFS_FD_MAX 16
|
||||||
#define RT_USING_DFS_ELMFAT
|
#define RT_USING_DFS_ELMFAT
|
||||||
|
|
||||||
|
|
@ -111,9 +107,6 @@
|
||||||
|
|
||||||
#define RT_USING_DEVICE_IPC
|
#define RT_USING_DEVICE_IPC
|
||||||
#define RT_PIPE_BUFSZ 512
|
#define RT_PIPE_BUFSZ 512
|
||||||
#define RT_USING_SYSTEM_WORKQUEUE
|
|
||||||
#define RT_SYSTEM_WORKQUEUE_STACKSIZE 2048
|
|
||||||
#define RT_SYSTEM_WORKQUEUE_PRIORITY 23
|
|
||||||
#define RT_USING_SERIAL
|
#define RT_USING_SERIAL
|
||||||
#define RT_SERIAL_USING_DMA
|
#define RT_SERIAL_USING_DMA
|
||||||
#define RT_SERIAL_RB_BUFSZ 64
|
#define RT_SERIAL_RB_BUFSZ 64
|
||||||
|
|
@ -122,31 +115,6 @@
|
||||||
#define RT_USING_PIN
|
#define RT_USING_PIN
|
||||||
#define RT_USING_SPI
|
#define RT_USING_SPI
|
||||||
#define RT_USING_SPI_MSD
|
#define RT_USING_SPI_MSD
|
||||||
#define RT_USING_WIFI
|
|
||||||
#define RT_WLAN_DEVICE_STA_NAME "wlan0"
|
|
||||||
#define RT_WLAN_DEVICE_AP_NAME "wlan1"
|
|
||||||
#define RT_WLAN_SSID_MAX_LENGTH 32
|
|
||||||
#define RT_WLAN_PASSWORD_MAX_LENGTH 32
|
|
||||||
#define RT_WLAN_DEV_EVENT_NUM 2
|
|
||||||
#define RT_WLAN_MANAGE_ENABLE
|
|
||||||
#define RT_WLAN_SCAN_WAIT_MS 10000
|
|
||||||
#define RT_WLAN_CONNECT_WAIT_MS 10000
|
|
||||||
#define RT_WLAN_SCAN_SORT
|
|
||||||
#define RT_WLAN_MSH_CMD_ENABLE
|
|
||||||
#define RT_WLAN_AUTO_CONNECT_ENABLE
|
|
||||||
#define AUTO_CONNECTION_PERIOD_MS 2000
|
|
||||||
#define RT_WLAN_CFG_ENABLE
|
|
||||||
#define RT_WLAN_CFG_INFO_MAX 3
|
|
||||||
#define RT_WLAN_PROT_ENABLE
|
|
||||||
#define RT_WLAN_PROT_NAME_LEN 8
|
|
||||||
#define RT_WLAN_PROT_MAX 2
|
|
||||||
#define RT_WLAN_DEFAULT_PROT "lwip"
|
|
||||||
#define RT_WLAN_PROT_LWIP_ENABLE
|
|
||||||
#define RT_WLAN_PROT_LWIP_NAME "lwip"
|
|
||||||
#define RT_WLAN_WORK_THREAD_ENABLE
|
|
||||||
#define RT_WLAN_WORKQUEUE_THREAD_NAME "wlan"
|
|
||||||
#define RT_WLAN_WORKQUEUE_THREAD_SIZE 2048
|
|
||||||
#define RT_WLAN_WORKQUEUE_THREAD_PRIO 15
|
|
||||||
|
|
||||||
/* Using USB */
|
/* Using USB */
|
||||||
|
|
||||||
|
|
@ -161,67 +129,12 @@
|
||||||
|
|
||||||
/* Socket abstraction layer */
|
/* Socket abstraction layer */
|
||||||
|
|
||||||
#define RT_USING_SAL
|
|
||||||
#define SAL_INTERNET_CHECK
|
|
||||||
|
|
||||||
/* protocol stack implement */
|
|
||||||
|
|
||||||
#define SAL_USING_LWIP
|
|
||||||
#define SAL_USING_POSIX
|
|
||||||
|
|
||||||
/* Network interface device */
|
/* Network interface device */
|
||||||
|
|
||||||
#define RT_USING_NETDEV
|
|
||||||
#define NETDEV_USING_IFCONFIG
|
|
||||||
#define NETDEV_USING_PING
|
|
||||||
#define NETDEV_USING_NETSTAT
|
|
||||||
#define NETDEV_USING_AUTO_DEFAULT
|
|
||||||
#define NETDEV_IPV4 1
|
|
||||||
#define NETDEV_IPV6 0
|
|
||||||
|
|
||||||
/* light weight TCP/IP stack */
|
/* light weight TCP/IP stack */
|
||||||
|
|
||||||
#define RT_USING_LWIP
|
|
||||||
#define RT_USING_LWIP202
|
|
||||||
#define RT_LWIP_MEM_ALIGNMENT 4
|
|
||||||
#define RT_LWIP_IGMP
|
|
||||||
#define RT_LWIP_ICMP
|
|
||||||
#define RT_LWIP_DNS
|
|
||||||
#define RT_LWIP_DHCP
|
|
||||||
#define IP_SOF_BROADCAST 1
|
|
||||||
#define IP_SOF_BROADCAST_RECV 1
|
|
||||||
|
|
||||||
/* Static IPv4 Address */
|
|
||||||
|
|
||||||
#define RT_LWIP_IPADDR "192.168.1.30"
|
|
||||||
#define RT_LWIP_GWADDR "192.168.1.1"
|
|
||||||
#define RT_LWIP_MSKADDR "255.255.255.0"
|
|
||||||
#define RT_LWIP_UDP
|
|
||||||
#define RT_LWIP_TCP
|
|
||||||
#define RT_LWIP_RAW
|
|
||||||
#define RT_MEMP_NUM_NETCONN 8
|
|
||||||
#define RT_LWIP_PBUF_NUM 16
|
|
||||||
#define RT_LWIP_RAW_PCB_NUM 4
|
|
||||||
#define RT_LWIP_UDP_PCB_NUM 4
|
|
||||||
#define RT_LWIP_TCP_PCB_NUM 4
|
|
||||||
#define RT_LWIP_TCP_SEG_NUM 40
|
|
||||||
#define RT_LWIP_TCP_SND_BUF 8196
|
|
||||||
#define RT_LWIP_TCP_WND 8196
|
|
||||||
#define RT_LWIP_TCPTHREAD_PRIORITY 10
|
|
||||||
#define RT_LWIP_TCPTHREAD_MBOX_SIZE 8
|
|
||||||
#define RT_LWIP_TCPTHREAD_STACKSIZE 1024
|
|
||||||
#define RT_LWIP_ETHTHREAD_PRIORITY 12
|
|
||||||
#define RT_LWIP_ETHTHREAD_STACKSIZE 1024
|
|
||||||
#define RT_LWIP_ETHTHREAD_MBOX_SIZE 8
|
|
||||||
#define LWIP_NETIF_STATUS_CALLBACK 1
|
|
||||||
#define LWIP_NETIF_LINK_CALLBACK 1
|
|
||||||
#define SO_REUSE 1
|
|
||||||
#define LWIP_SO_RCVTIMEO 1
|
|
||||||
#define LWIP_SO_SNDTIMEO 1
|
|
||||||
#define LWIP_SO_RCVBUF 1
|
|
||||||
#define LWIP_SO_LINGER 0
|
|
||||||
#define LWIP_NETIF_LOOPBACK 0
|
|
||||||
#define RT_LWIP_USING_PING
|
|
||||||
|
|
||||||
/* AT commands */
|
/* AT commands */
|
||||||
|
|
||||||
|
|
@ -270,9 +183,37 @@
|
||||||
/* More Drivers */
|
/* More Drivers */
|
||||||
|
|
||||||
|
|
||||||
|
/* APP_Framework */
|
||||||
|
|
||||||
/* Applications */
|
/* Applications */
|
||||||
|
|
||||||
|
/* config stack size and priority of main task */
|
||||||
|
|
||||||
|
#define MAIN_KTASK_STACK_SIZE 1024
|
||||||
|
|
||||||
|
/* test app */
|
||||||
|
|
||||||
|
|
||||||
|
/* connection app */
|
||||||
|
|
||||||
|
/* control app */
|
||||||
|
|
||||||
|
|
||||||
|
/* knowing app */
|
||||||
|
|
||||||
|
|
||||||
|
/* sensor app */
|
||||||
|
|
||||||
|
|
||||||
/* Framework */
|
/* Framework */
|
||||||
|
|
||||||
|
#define TRANSFORM_LAYER_ATTRIUBUTE
|
||||||
|
#define ADD_XIUOS_FETURES
|
||||||
|
#define SUPPORT_SENSOR_FRAMEWORK
|
||||||
|
#define SUPPORT_KNOWING_FRAMEWORK
|
||||||
|
|
||||||
|
/* app lib */
|
||||||
|
|
||||||
|
#define APP_SELECT_NEWLIB
|
||||||
|
|
||||||
#endif
|
#endif
|
||||||
|
|
|
||||||
|
|
@ -1,5 +1,5 @@
|
||||||
import os
|
import os
|
||||||
|
SRC_APP_DIR = '../../../../APP_Framework'
|
||||||
# toolchains options
|
# toolchains options
|
||||||
ARCH='arm'
|
ARCH='arm'
|
||||||
CPU='cortex-m4'
|
CPU='cortex-m4'
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue