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make.py
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#!/usr/bin/env python
# by: Kwabena W. Agyeman - [email protected]
import argparse, multiprocessing, os, re, shutil, sys
TF_TOP = "edge-impulse-sdk"
TF_LITE = "tensorflow/lite"
TF_LITE_MICRO = os.path.join(TF_LITE, "micro")
TF_TOP_MICRO_PATH = os.path.join(TF_TOP, TF_LITE_MICRO)
TF_TOP_GEN_PATH = os.path.join(TF_TOP_MICRO_PATH, "tools/make/gen")
TF_TOP_EXPERIMENTAL_PATH = os.path.join(TF_TOP, "tensorflow/lite/experimental")
TF_EXAMPLES_PATH = os.path.join(TF_LITE_MICRO, "examples")
TF_EXAMPLES_MICRO_FEATURES_PATH = os.path.join(TF_EXAMPLES_PATH, "micro_speech/micro_features")
TF_EXPERIMENTAL_PATH = "tensorflow/lite/experimental"
TF_EXPERIMENTAL_MICROFRONTEND_PATH = os.path.join(TF_EXPERIMENTAL_PATH, "microfrontend")
TF_TOOLS_PATH = os.path.join(TF_LITE_MICRO, "tools/make")
TF_TOOLS_DOWNLOADS_PATH = os.path.join(TF_TOOLS_PATH, "downloads")
TF_TOOLS_MAKEFILE_PATH = os.path.join(TF_TOOLS_PATH, "Makefile")
MODEL_NAME = "person_detection"
MODEL_DATA = "tools/make/downloads/person_model_int8/person_detect_model_data.cc"
MODEL_LABELS = "person\nno_person\n"
MAKE_PROJECT = MODEL_NAME + "_int8"
TEST_PROJECT = MODEL_NAME + "_test_int8"
DEBUG_LOG_CALLBACK = "cortex_m_generic/debug_log_callback.h"
CMSIS_GCC = "tools/make/downloads/cmsis/CMSIS/Core/Include/cmsis_gcc.h"
def patch_files(dir_path):
for dname, dirs, files in os.walk(dir_path):
for fname in files:
fpath = os.path.join(dname, fname)
with open(fpath) as f:
s = f.read()
s = s.replace("fprintf", "(void)")
with open(fpath, "w") as f:
f.write(s)
def convert_model(src, dst):
# https://gist.github.com/petewarden/493294425ac522f00ff45342c71939d7
output_data = bytearray()
with open(src, 'r') as file:
for line in file:
values_match = re.match(r"\W*(0x[0-9a-fA-F,x ]+).*", line)
if values_match:
list_text = values_match.group(1)
values_text = filter(None, list_text.split(","))
values = [int(x, base=16) for x in values_text]
output_data.extend(values)
with open(dst, 'wb') as output_file:
output_file.write(output_data)
def generate(target, target_arch, __folder__, args, cpus, builddir, libdir, c_flags, cxx_flags):
print("==============================\n Building Target - " + target + "\n==============================")
project_folder = os.path.join(TF_TOP_GEN_PATH, "cortex_m_generic_" + target_arch + "_default")
if (not os.path.isdir(project_folder)) or (not args.skip_generation):
if os.system("cd " + TF_TOP +
" && make -f " + TF_TOOLS_MAKEFILE_PATH + " -j" + str(cpus) +
" TARGET=cortex_m_generic TARGET_ARCH=" + target_arch +
" OPTIMIZED_KERNEL_DIR=cmsis_nn generate_" + MAKE_PROJECT + "_make_project"):
sys.exit("Make Failed...")
if os.path.exists(os.path.join(builddir, target)):
shutil.rmtree(os.path.join(builddir, target), ignore_errors = True)
shutil.copytree(project_folder, os.path.join(builddir, target))
tflite_micro_project_folder = os.path.join("prj", MAKE_PROJECT, "make")
tflite_micro_gen_folder = "genfiles/tensorflow/lite/micro/models"
shutil.copytree("libc", os.path.join(builddir, target, tflite_micro_project_folder, "libc"))
shutil.copytree("libm", os.path.join(builddir, target, tflite_micro_project_folder, "libm"))
shutil.copytree(os.path.join(TF_TOP_MICRO_PATH, "tools/make/downloads/kissfft"),
os.path.join(builddir, target, tflite_micro_project_folder, TF_TOOLS_DOWNLOADS_PATH, "kissfft"))
shutil.copytree(os.path.join(TF_TOP_EXPERIMENTAL_PATH, "microfrontend"),
os.path.join(builddir, target, tflite_micro_project_folder, TF_EXPERIMENTAL_MICROFRONTEND_PATH))
shutil.copytree(os.path.join(TF_TOP_MICRO_PATH, "examples/micro_speech/micro_features"),
os.path.join(builddir, target, tflite_micro_project_folder, TF_EXAMPLES_MICRO_FEATURES_PATH))
patch_files(os.path.join(builddir, target, tflite_micro_project_folder, TF_TOOLS_DOWNLOADS_PATH, "kissfft"))
patch_files(os.path.join(builddir, target, tflite_micro_project_folder, TF_EXPERIMENTAL_MICROFRONTEND_PATH))
patch_files(os.path.join(builddir, target, tflite_micro_project_folder, TF_EXAMPLES_MICRO_FEATURES_PATH))
shutil.copyfile(os.path.join(TF_TOP_MICRO_PATH, DEBUG_LOG_CALLBACK),
os.path.join(builddir, target, tflite_micro_project_folder, TF_LITE_MICRO, DEBUG_LOG_CALLBACK))
shutil.copyfile(os.path.join(TF_TOP_MICRO_PATH, CMSIS_GCC),
os.path.join(builddir, target, tflite_micro_project_folder, TF_LITE_MICRO, CMSIS_GCC))
if os.system("cd " + os.path.join(builddir, target, tflite_micro_project_folder) +
" && git clone https://github.com/edgeimpulse/inferencing-sdk-cpp.git edge-impulse-sdk"):
sys.exit("Make Failed...")
SRCS = [
"SRCS :=",
"libtf.cc",
"libc/bsearch.c",
"libm/exp.c",
"libm/floor.c",
"libm/fmaxf.c",
"libm/fminf.c",
"libm/frexp.c",
"libm/round.c",
"libm/sqrt.c",
"libm/scalbn.c",
"libm/cos.c",
"libm/__cos.c",
"libm/sin.c",
"libm/__sin.c",
"libm/log1p.c",
"libm/__rem_pio2.c",
"libm/__rem_pio2_large.c",
os.path.join(TF_TOOLS_DOWNLOADS_PATH, "kissfft/kiss_fft.c"),
os.path.join(TF_TOOLS_DOWNLOADS_PATH, "kissfft/tools/kiss_fftr.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/noise_reduction_io.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/filterbank_io.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/log_scale_util.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/fft_util.cc"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/log_lut.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/filterbank_util.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/frontend_memmap_generator.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/window.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/pcan_gain_control_util.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/frontend_io.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/frontend.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/window_util.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/fft.cc"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/log_scale_io.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/filterbank.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/fft_io.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/noise_reduction_util.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/noise_reduction.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/log_scale.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/frontend_util.c"),
os.path.join(TF_EXPERIMENTAL_MICROFRONTEND_PATH, "lib/pcan_gain_control.c"),
os.path.join(TF_EXAMPLES_MICRO_FEATURES_PATH, "micro_features_generator.cc"),
"\\"
]
gcc_embedded_folder = os.path.join(__folder__, os.path.join(TF_TOP_MICRO_PATH, "tools/make/downloads/gcc_embedded/bin"))
arm_none_eabi_gcc = os.path.join(gcc_embedded_folder, "arm-none-eabi-gcc")
arm_none_eabi_ar = os.path.join(gcc_embedded_folder, "arm-none-eabi-ar")
with open(os.path.join(builddir, target, tflite_micro_project_folder, "Makefile"), 'r') as original:
data = original.read()
data = re.sub(r"TARGET_TOOLCHAIN_ROOT := \S*", "TARGET_TOOLCHAIN_ROOT := " + gcc_embedded_folder + "/", data)
data = data.replace("LIBRARY_OBJS := $(filter-out tensorflow/lite/micro/examples/%, $(OBJS))", "LIBRARY_OBJS := $(OBJS)")
data = re.sub(r" tensorflow/lite/micro/examples/\S*", "", data)
data = re.sub(r" tensorflow/lite/micro/" + MODEL_DATA, "", data)
data = re.sub(r" tensorflow/lite/schema/schema_generated.h", "", data)
data = re.sub(r" tensorflow/lite/micro/kernels/ethosu.cc", "", data)
data = re.sub(r" tensorflow/lite/micro/kernels/tflite_detection_postprocess.cc", "", data)
data = data.replace("SRCS := \\", " ".join(SRCS))
data = data.replace("-Wall ", " ")
data = data.replace("-Wdouble-promotion ", " ")
data = data.replace("-Wsign-compare ", " ")
data = data.replace("-Wstrict-aliasing ", " ")
data = data.replace("-Wunused-variable ", " ")
data = data.replace("-Wno-unused-private-field ", " ")
with open(os.path.join(builddir, target, tflite_micro_project_folder, "Makefile"), 'w') as modified:
modified.write("CCFLAGS = " + c_flags + "\n")
modified.write("CXXFLAGS = " + cxx_flags + "\n")
modified.write(data)
shutil.copy(os.path.join(__folder__, "libtf.cc"), os.path.join(builddir, target, tflite_micro_project_folder))
shutil.copy(os.path.join(__folder__, "libtf.h"), os.path.join(builddir, target, tflite_micro_project_folder))
if os.system("cd " + os.path.join(builddir, target, tflite_micro_project_folder) +
" && make -j " + str(cpus) + " lib"):
sys.exit("Make Failed...")
if os.path.exists((os.path.join(libdir, target))):
shutil.rmtree(os.path.join(libdir, target), ignore_errors = True)
os.mkdir(os.path.join(libdir, target))
shutil.copy(os.path.join(builddir, target, tflite_micro_project_folder, "libtensorflow-microlite.a"), os.path.join(libdir, target, "libtf.a"))
convert_model(os.path.join(builddir, target, tflite_micro_project_folder, TF_LITE_MICRO, MODEL_DATA), os.path.join(libdir, "models/" + MODEL_NAME + ".tflite"))
def build_target(target, __folder__, args, cpus, builddir, libdir):
FLAGS = [
"-Wno-double-promotion",
"-Wno-nonnull",
"-Wno-psabi",
"-Wno-sign-compare",
"-Wno-unused-but-set-variable",
"-Wno-unused-value",
"-DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK",
"-DNDEBUG",
"-MMD",
"-O3",
"-fshort-enums",
"-fno-delete-null-pointer-checks",
"-fno-exceptions",
"-mabi=aapcs-linux",
"-nostartfiles",
"-nostdlib",
"-I" + os.path.join(__folder__),
"-I" + os.path.join(__folder__, "edge-impulse-sdk"),
"-I./" + os.path.join(TF_TOOLS_DOWNLOADS_PATH, "cmsis"),
"-I./" + os.path.join(TF_TOOLS_DOWNLOADS_PATH, "cmsis/CMSIS/Core/Include"),
"-I./" + os.path.join(TF_TOOLS_DOWNLOADS_PATH, "cmsis/CMSIS/DSP/Include"),
"-I./" + os.path.join(TF_TOOLS_DOWNLOADS_PATH, "cmsis/CMSIS/NN/Include"),
"-I./" + os.path.join(TF_TOOLS_DOWNLOADS_PATH, "kissfft")
]
compile_flags = " ".join(FLAGS)
c_compile_flags = compile_flags
cxx_compile_flags = compile_flags + " -fno-use-cxa-atexit"
if target == "cortex-m0plus":
cortex_m0_plus_compile_flags = " -DARM_MATH_CM0PLUS" \
" -mcpu=cortex-m0plus" \
" -mfloat-abi=soft" \
" -mtune=cortex-m0plus"
cortex_m0_plus_c_compile_flags = c_compile_flags + cortex_m0_plus_compile_flags
cortex_m0_plus_cxx_compile_flags = cxx_compile_flags + cortex_m0_plus_compile_flags
generate(target, "cortex-m0plus", __folder__, args, cpus, builddir, libdir,
cortex_m0_plus_c_compile_flags, cortex_m0_plus_cxx_compile_flags)
elif target == "cortex-m4":
cortex_m4_compile_flags = " -DARM_MATH_CM4" \
" -mfpu=fpv4-sp-d16" \
" -mcpu=cortex-m4" \
" -mfloat-abi=hard" \
" -mtune=cortex-m4"
cortex_m4_c_compile_flags = c_compile_flags + cortex_m4_compile_flags
cortex_m4_cxx_compile_flags = cxx_compile_flags + cortex_m4_compile_flags
generate(target, "cortex-m4+fp", __folder__, args, cpus, builddir, libdir,
cortex_m4_c_compile_flags, cortex_m4_cxx_compile_flags)
elif target == "cortex-m7":
cortex_m7_compile_flags = " -DARM_MATH_CM7" \
" -mfpu=fpv5-sp-d16" \
" -mcpu=cortex-m7" \
" -mfloat-abi=hard" \
" -mtune=cortex-m7"
cortex_m7_c_compile_flags = c_compile_flags + cortex_m7_compile_flags
cortex_m7_cxx_compile_flags = cxx_compile_flags + cortex_m7_compile_flags
generate(target, "cortex-m7+fp", __folder__, args, cpus, builddir, libdir,
cortex_m7_c_compile_flags, cortex_m7_cxx_compile_flags)
elif target == "cortex-m55":
cortex_m55_compile_flags = " -DARM_MATH_CM55" \
" -mfpu=fpv5-d16" \
" -mcpu=cortex-m55" \
" -mfloat-abi=hard" \
" -mtune=cortex-m55"
cortex_m55_c_compile_flags = c_compile_flags + cortex_m55_compile_flags
cortex_m55_cxx_compile_flags = cxx_compile_flags + cortex_m55_compile_flags
generate(target, "cortex-m55", __folder__, args, cpus, builddir, libdir,
cortex_m55_c_compile_flags, cortex_m55_cxx_compile_flags)
else:
sys.exit("Unknown target!")
def make():
__folder__ = os.path.dirname(os.path.abspath(__file__))
parser = argparse.ArgumentParser(description =
"Make Script")
parser.add_argument("--clean", "-c", action="store_true", default=False,
help="Clean TensorFlow library.")
parser.add_argument("--skip_generation", "-s", action="store_true", default=False,
help="Skip TensorFlow library generation.")
args = parser.parse_args()
###########################################################################
cpus = multiprocessing.cpu_count()
builddir = os.path.join(__folder__, "build")
if not os.path.exists(builddir):
os.mkdir(builddir)
libdir = os.path.join(__folder__, "libtf")
if not os.path.exists(libdir):
os.mkdir(libdir)
###########################################################################
if args.clean:
if os.system("cd " + TF_TOP +
" && make -f " + TF_TOOLS_MAKEFILE_PATH + " clean" +
" && make -f " + TF_TOOLS_MAKEFILE_PATH + " clean_downloads"):
sys.exit("Make Failed...")
return
if os.system("cd " + TF_TOP +
" && make -f " + TF_TOOLS_MAKEFILE_PATH + " third_party_downloads"):
sys.exit("Make Failed...")
if os.path.exists((os.path.join(libdir))):
shutil.rmtree(os.path.join(libdir), ignore_errors = True)
os.mkdir(os.path.join(libdir))
if os.path.exists(os.path.join(libdir, "models")):
shutil.rmtree(os.path.join(libdir, "models"), ignore_errors = True)
os.mkdir(os.path.join(libdir, "models"))
with open(os.path.join(libdir, "models/" + MODEL_NAME + ".txt"), "w") as f:
f.write(MODEL_LABELS)
shutil.copy(os.path.join(__folder__, "libtf.h"), os.path.join(libdir))
shutil.copy(os.path.join(__folder__, TF_TOP, "LICENSE"), os.path.join(libdir))
with open(os.path.join(libdir, "README"), "w") as f:
f.write("You must link this library to your application with arm-none-eabi-gcc and have implemented putchar().\n")
build_target("cortex-m0plus", __folder__, args, cpus, builddir, libdir)
build_target("cortex-m4", __folder__, args, cpus, builddir, libdir)
build_target("cortex-m7", __folder__, args, cpus, builddir, libdir)
build_target("cortex-m55", __folder__, args, cpus, builddir, libdir)
print("==============================\n Done\n==============================")
if __name__ == "__main__":
make()