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一只有理想的羊驼

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烧录固件

在这里下载最新固件1：

这里，我们使用esp32-20190718-v1.11-163-g0c12adca4.bin。

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sudo pip3 install esptool

使用usb线将ESP32板卡接上电脑：

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ls -l /dev/ttyUSB*
crw-rw---- 1 root dialout 188, 0 Jul 18 15:06 /dev/ttyUSB0

此时，ESP32板卡的端口号为ttyUSB0。

擦除flash：

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sudo esptool.py --port /dev/ttyUSB0 erase_flash
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esptool.py v2.7
Serial port /dev/ttyUSB0
Connecting........_____....._____....._____....._____....._____....._____....
Detecting chip type... ESP32
Chip is ESP32D0WDQ6 (revision 1)
Features: WiFi, BT, Dual Core, 240MHz, VRef calibration in efuse, Coding Scheme None
Crystal is 40MHz
MAC: a4:cf:12:43:7a:64
Uploading stub...
Running stub...
Stub running...
Erasing flash (this may take a while)...
Chip erase completed successfully in 9.1s
Hard resetting via RTS pin...

刷入固件：

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sudo esptool.py --chip esp32 --port /dev/ttyUSB0 write_flash -z 0x1000 esp32-20190718-v1.11-163-g0c12adca4.bin
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esptool.py v2.7
Serial port /dev/ttyUSB0
Connecting........_
Chip is ESP32D0WDQ6 (revision 1)
Features: WiFi, BT, Dual Core, 240MHz, VRef calibration in efuse, Coding Scheme None
Crystal is 40MHz
MAC: a4:cf:12:43:7a:64
Uploading stub...
Running stub...
Stub running...
Configuring flash size...
Auto-detected Flash size: 4MB
Compressed 1167312 bytes to 729727...
Wrote 1167312 bytes (729727 compressed) at 0x00001000 in 65.0 seconds (effective 143.7 kbit/s)...
Hash of data verified.

Leaving...
Hard resetting via RTS pin...

测试2：

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sudo apt-get install picocom

sudo picocom -b 115200 /dev/ttyUSB0
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picocom v2.2

port is        : /dev/ttyUSB0
flowcontrol    : none
baudrate is    : 115200
parity is      : none
databits are   : 8
stopbits are   : 1
escape is      : C-a
local echo is  : no
noinit is      : no
noreset is     : no
nolock is      : no
send_cmd is    : sz -vv
receive_cmd is : rz -vv -E
imap is        : 
omap is        : 
emap is        : crcrlf,delbs,

Type [C-a] [C-h] to see available commands

Terminal ready

回车：

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>>> import machine
>>> pin2 = machine.Pin(2, machine.Pin.OUT)
>>> pin2.value(1)

退出：

先Ctrl + A再Ctrl + Q

CTRL-A -- on a blank line, enter raw REPL mode CTRL-B -- on a blank line, enter normal REPL mode CTRL-C -- interrupt a running program CTRL-D -- on a blank line, do a soft reset of the board CTRL-E -- on a blank line, enter paste mode

  1. http://www.1zlab.com/wiki/micropython-esp32/flash-firmware↩︎

  2. http://www.1zlab.com/wiki/micropython-esp32/repl-over-the-serial-port/↩︎

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Build static libraries:

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sudo apt-get install autoconf automake libtool curl make g++ unzip zlib1g-dev git python
git clone https://github.com/tensorflow/tensorflow.git
source ./tensorflow/tensorflow/contrib/makefile/build_all_linux.sh

Heads and libs:

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cd your_project
mkdir -p ./lib/tensorflow/include/tensorflow/contrib
mkdir -p ./lib/tensorflow/lib
mkdir -p ./lib/tensorflow/third_party

cp -r path_to_tensorflow/tensorflow/cc ./lib/tensorflow/include/tensorflow
cp -r path_to_tensorflow/tensorflow/core ./lib/tensorflow/include/tensorflow
cp -r path_to_tensorflow/tensorflow/contrib/cloud ./lib/tensorflow/include/tensorflow/contrib

cp path_to_tensorflow/tensorflow/contrib/makefile/gen/lib/libtensorflow-core.a ./lib/tensorflow/lib

cp -r path_to_tensorflow/tensorflow/contrib/makefile/downloads/absl ./lib/tensorflow/third_party

cp -r path_to_tensorflow/tensorflow/contrib/makefile/gen/proto ./lib/tensorflow/third_party

mkdir -p ./lib/tensorflow/third_party/protobuf-host
cp -r path_to_tensorflow/tensorflow/contrib/makefile/gen/protobuf-host/include ./lib/tensorflow/third_party/protobuf-host
cp -r path_to_tensorflow/tensorflow/contrib/makefile/gen/protobuf-host/lib ./lib/tensorflow/third_party/protobuf-host

mkdir -p ./lib/tensorflow/third_party/nsync/builds
cp -r path_to_tensorflow/tensorflow/contrib/makefile/downloads/nsync/public ./lib/tensorflow/third_party/nsync
cp -r path_to_tensorflow/tensorflow/contrib/makefile/downloads/nsync/builds/default.linux.c++11 ./lib/tensorflow/third_party/nsync/builds

cp -r path_to_tensorflow/tensorflow/contrib/makefile/downloads/eigen ./lib/tensorflow/third_party
cp -r path_to_tensorflow/third_party/eigen3 ./lib/tensorflow/third_party

CMakeLists.txt

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...
ET(LDFLAGS "-std=c++11 -fPIC -O3 -ggdb -Wall -finline-functions -Wl,--allow-multiple-definition -Wl,--whole-archive")
add_definitions(-D_GLIBCXX_USE_CXX11_ABI=0)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${LDFLAGS}")

set(TENSORFLOW_INCLUDES
    ${PROJECT_SOURCE_DIR}/lib/tensorflow
    ${PROJECT_SOURCE_DIR}/lib/tensorflow/include
    ${PROJECT_SOURCE_DIR}/lib/tensorflow/third_party/proto
    ${PROJECT_SOURCE_DIR}/lib/tensorflow/third_party/protobuf-host/include
    ${PROJECT_SOURCE_DIR}/lib/tensorflow/third_party/eigen
    ${PROJECT_SOURCE_DIR}/lib/tensorflow/third_party/nsync/public
    ${PROJECT_SOURCE_DIR}/lib/tensorflow/third_party/absl
)
 
set(TENSORFLOW_LIBS
    ${PROJECT_SOURCE_DIR}/lib/tensorflow/lib/libtensorflow-core.a
    ${PROJECT_SOURCE_DIR}/lib/tensorflow/third_party/protobuf-host/lib/libprotobuf.a
    ${PROJECT_SOURCE_DIR}/lib/tensorflow/third_party/nsync/builds/default.linux.c++11/nsync.a
    pthread m z dl
)

...

If undefined reference to tensorflow::Status::ToString() const issue arise, try to build you project with -D_GLIBCXX_USE_CXX11_ABI=0 which will force GCC to use the old ABI version or try to use -D_GLIBCXX_USE_CXX11_ABI=1.

This static library will not contain: * Python or other language bindings * GPU support

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