Merge pull request from antmicro:tf-demo-update

PiperOrigin-RevId: 313836766
Change-Id: Id99c8902114127e3525be4098acf1786d212a4d8
This commit is contained in:
TensorFlower Gardener 2020-05-29 14:11:17 -07:00
commit 0e7721a8e9
22 changed files with 442 additions and 12 deletions

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@ -362,7 +362,11 @@ cc_test(
cc_library(
name = "cppmath",
srcs = [],
hdrs = ["cppmath.h"],
hdrs = [
"cppmath.h",
"max.h",
"min.h",
],
build_for_embedded = True,
copts = tflite_copts(),
)

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@ -19,8 +19,9 @@ limitations under the License.
namespace tflite {
#if defined(TF_LITE_USE_GLOBAL_CMATH_FUNCTIONS) || \
(defined(__ANDROID__) && !defined(__NDK_MAJOR__)) || defined(ARDUINO)
#if defined(TF_LITE_USE_GLOBAL_CMATH_FUNCTIONS) || \
(defined(__ANDROID__) && !defined(__NDK_MAJOR__)) || defined(ARDUINO) || \
defined(__ZEPHYR__)
#define TF_LITE_GLOBAL_STD_PREFIX
#else
#define TF_LITE_GLOBAL_STD_PREFIX std

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@ -0,0 +1,35 @@
/* 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.
==============================================================================*/
#ifndef TENSORFLOW_LITE_KERNELS_INTERNAL_MAX_H_
#define TENSORFLOW_LITE_KERNELS_INTERNAL_MAX_H_
#include <cmath>
namespace tflite {
#if defined(TF_LITE_USE_GLOBAL_MAX) || defined(__ZEPHYR__)
inline float TfLiteMax(const float& x, const float& y) {
return std::max(x, y);
}
#else
template <class T>
inline T TfLiteMax(const T& x, const T& y) {
return std::fmax(x, y);
}
#endif
} // namespace tflite
#endif // TENSORFLOW_LITE_KERNELS_INTERNAL_MAX_H_

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@ -0,0 +1,35 @@
/* 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.
==============================================================================*/
#ifndef TENSORFLOW_LITE_KERNELS_INTERNAL_MIN_H_
#define TENSORFLOW_LITE_KERNELS_INTERNAL_MIN_H_
#include <cmath>
namespace tflite {
#if defined(TF_LITE_USE_GLOBAL_MIN) || defined(__ZEPHYR__)
inline float TfLiteMin(const float& x, const float& y) {
return std::min(x, y);
}
#else
template <class T>
inline T TfLiteMin(const T& x, const T& y) {
return std::fmin(x, y);
}
#endif
} // namespace tflite
#endif // TENSORFLOW_LITE_KERNELS_INTERNAL_MIN_H_

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@ -18,6 +18,8 @@ limitations under the License.
#include "ruy/profiler/instrumentation.h" // from @ruy
#include "tensorflow/lite/kernels/internal/common.h"
#include "tensorflow/lite/kernels/internal/cppmath.h"
#include "tensorflow/lite/kernels/internal/max.h"
#include "tensorflow/lite/kernels/internal/min.h"
#include "tensorflow/lite/kernels/internal/quantization_util.h"
#include "tensorflow/lite/kernels/internal/types.h"
@ -381,11 +383,11 @@ inline bool QuantizedMeanOrSum(const T* input_data, int32 input_zero_point,
for (size_t idx = 0; idx < num_outputs; ++idx) {
float float_mean = static_cast<float>(temp_sum[idx]) /
static_cast<float>(num_elements_in_axis);
float result =
std::min(TfLiteRound(float_mean * scale + bias) + output_zero_point,
static_cast<float>(std::numeric_limits<T>::max()));
result =
std::max(result, static_cast<float>(std::numeric_limits<T>::min()));
float result = TfLiteMin(
TfLiteRound(float_mean * scale + bias) + output_zero_point,
static_cast<float>(std::numeric_limits<T>::max()));
result = TfLiteMax(result,
static_cast<float>(std::numeric_limits<T>::min()));
output_data[idx] = static_cast<T>(result);
}
}

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@ -17,6 +17,7 @@ limitations under the License.
#include <cmath>
#include "tensorflow/lite/kernels/internal/cppmath.h"
#include "tensorflow/lite/kernels/internal/types.h"
namespace tflite {
@ -34,7 +35,7 @@ inline int32 GetNearestNeighbor(const int input_value, const int32 input_size,
const float offset = half_pixel_centers ? 0.5f : 0.0f;
int32 output_value = std::min(
align_corners
? static_cast<int32>(std::round((input_value + offset) * scale))
? static_cast<int32>(TfLiteRound((input_value + offset) * scale))
: static_cast<int32>(std::floor((input_value + offset) * scale)),
input_size - 1);
if (half_pixel_centers) {

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@ -0,0 +1,28 @@
ifeq ($(TARGET), zephyr_vexriscv)
export ZEPHYR_TOOLCHAIN_VARIANT?=zephyr
export TOOLCHAIN_BASE=${ZEPHYR_SDK_INSTALL_DIR}/riscv64-zephyr-elf/riscv64-zephyr-elf
export TOOLCHAIN_VERSION=9.2.0
PROJECT_INCLUDES += ${CURDIR} ${TOOLCHAIN_BASE}/include/c++/${TOOLCHAIN_VERSION} ${TOOLCHAIN_BASE}/include ${TOOLCHAIN_BASE}/include/c++/${TOOLCHAIN_VERSION}/riscv64-zephyr-elf/rv32i/ilp32
ZEPHYR_HELLO_WORLD_SRCS = \
tensorflow/lite/micro/examples/hello_world/zephyr_riscv/src/assert.cc \
tensorflow/lite/micro/examples/hello_world/main.cc \
tensorflow/lite/micro/examples/hello_world/main_functions.cc \
tensorflow/lite/micro/examples/hello_world/constants.cc \
tensorflow/lite/micro/examples/hello_world/output_handler.cc \
tensorflow/lite/micro/examples/hello_world/model.cc \
prj.conf
$(eval $(call generate_project,cmake,zephyr_cmake_project.cmake,hello_world,$(MICROLITE_CC_SRCS) $(THIRD_PARTY_CC_SRCS) $(ZEPHYR_HELLO_WORLD_SRCS) $(MICROLITE_CC_HDRS) $(THIRD_PARTY_CC_HDRS) $(HELLO_WORLD_HDRS),,$(LDFLAGS) $(MICROLITE_LIBS),$(CXXFLAGS),$(CCFLAGS),))
$(PRJDIR)hello_world/cmake/CMakeLists.txt: $(PRJDIR)hello_world/cmake/zephyr_cmake_project.cmake
@sed -E 's#\%\{INCLUDE_DIRS\}\%#$(PROJECT_INCLUDES)#g' $< > $@
#We are skipping here copy of `zephyr` third_party repository
#To compile standalone project ZEPHYR_BASE enviroment variable should be set
hello_world_bin: generate_hello_world_cmake_project $(PRJDIR)hello_world/cmake/CMakeLists.txt
( \
. ${ZEPHYR_BASE}/venv-zephyr/bin/activate; \
cmake -B${GENDIR}hello_world/build -DBOARD="litex_vexriscv" -H${PRJDIR}hello_world/cmake/ -DPython_ROOT_DIR=${ZEPHYR_BASE}/venv-zephyr/bin/; \
make -C ${GENDIR}hello_world/build; \
)
endif

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@ -0,0 +1,16 @@
# 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.
# ==============================================================================
CONFIG_CPLUSPLUS=y
CONFIG_NEWLIB_LIBC=y

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@ -0,0 +1,19 @@
/* 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.
==============================================================================*/
extern "C" {
void __assert_func(const char *, int, const char *, const char *) {}
}

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@ -0,0 +1,31 @@
ifeq ($(TARGET), zephyr_vexriscv)
export ZEPHYR_TOOLCHAIN_VARIANT?=zephyr
export TOOLCHAIN_BASE=${ZEPHYR_SDK_INSTALL_DIR}/riscv64-zephyr-elf/riscv64-zephyr-elf
export TOOLCHAIN_VERSION=9.2.0
PROJECT_INCLUDES += ${CURDIR} ${TOOLCHAIN_BASE}/include/c++/${TOOLCHAIN_VERSION} ${TOOLCHAIN_BASE}/include ${TOOLCHAIN_BASE}/include/c++/${TOOLCHAIN_VERSION}/riscv64-zephyr-elf/rv32i/ilp32
ZEPHYR_MAGIC_WAND_SRCS = \
tensorflow/lite/micro/examples/magic_wand/zephyr_riscv/src/assert.cc \
tensorflow/lite/micro/examples/magic_wand/zephyr_riscv/src/accelerometer_handler.cc \
tensorflow/lite/micro/examples/magic_wand/zephyr_riscv/src/accelerometer_handler.h \
tensorflow/lite/micro/examples/magic_wand/main.cc \
tensorflow/lite/micro/examples/magic_wand/main_functions.cc \
tensorflow/lite/micro/examples/magic_wand/magic_wand_model_data.cc \
tensorflow/lite/micro/examples/magic_wand/gesture_predictor.cc \
tensorflow/lite/micro/examples/magic_wand/output_handler.cc \
boards/litex_vexriscv.overlay \
prj.conf
$(eval $(call generate_project,cmake,zephyr_cmake_project.cmake,magic_wand,$(MICROLITE_CC_SRCS) $(THIRD_PARTY_CC_SRCS) $(ZEPHYR_MAGIC_WAND_SRCS) $(MICROLITE_CC_HDRS) $(THIRD_PARTY_CC_HDRS) $(magic_wand_HDRS),,$(LDFLAGS) $(MICROLITE_LIBS),$(CXXFLAGS),$(CCFLAGS),))
$(PRJDIR)magic_wand/cmake/CMakeLists.txt: $(PRJDIR)magic_wand/cmake/zephyr_cmake_project.cmake
@sed -E 's#\%\{INCLUDE_DIRS\}\%#$(PROJECT_INCLUDES)#g' $< > $@
#We are skipping here copy of `zephyr` third_party repository
#To compile standalone project ZEPHYR_BASE enviroment variable should be set
magic_wand_bin: generate_magic_wand_cmake_project $(PRJDIR)magic_wand/cmake/CMakeLists.txt
( \
. ${ZEPHYR_BASE}/venv-zephyr/bin/activate; \
cmake -B${GENDIR}magic_wand/build -DBOARD="litex_vexriscv" -H${PRJDIR}magic_wand/cmake/ -DPython_ROOT_DIR=${ZEPHYR_BASE}/venv-zephyr/bin/; \
make -C ${GENDIR}magic_wand/build; \
)
endif

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@ -0,0 +1,38 @@
/* 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.
==============================================================================*/
&i2c0 {
label = "I2C0";
reg = <0xe0003000 0x4 0xe0003004 0x4>;
adxl@1d {
compatible = "adi,adxl345";
label = "accel-0";
reg = <0x1d>;
};
};
&pwm0 {
status = "disabled";
};
&eth0 {
status = "disabled";
};
&prbs0 {
status = "disabled";
};

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@ -0,0 +1,22 @@
# 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.
# ==============================================================================
CONFIG_CPLUSPLUS=y
CONFIG_NEWLIB_LIBC=y
CONFIG_SENSOR=y
CONFIG_ADXL345=y
CONFIG_PWM=n
CONFIG_PWM_LITEX=n
CONFIG_NETWORKING=n
CONFIG_MAIN_STACK_SIZE=4096

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@ -0,0 +1,98 @@
/* 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 "tensorflow/lite/micro/examples/magic_wand/accelerometer_handler.h"
#include <device.h>
#include <drivers/sensor.h>
#include <stdio.h>
#include <string.h>
#include <zephyr.h>
#define BUFLEN 300
int begin_index = 0;
struct device* sensor = NULL;
int current_index = 0;
float bufx[BUFLEN] = {0.0f};
float bufy[BUFLEN] = {0.0f};
float bufz[BUFLEN] = {0.0f};
bool initial = true;
TfLiteStatus SetupAccelerometer(tflite::ErrorReporter* error_reporter) {
sensor = device_get_binding(DT_INST_0_ADI_ADXL345_LABEL);
if (sensor == NULL) {
TF_LITE_REPORT_ERROR(error_reporter,
"Failed to get accelerometer, label: %s\n",
DT_INST_0_ADI_ADXL345_LABEL);
} else {
TF_LITE_REPORT_ERROR(error_reporter, "Got accelerometer, label: %s\n",
DT_INST_0_ADI_ADXL345_LABEL);
}
return kTfLiteOk;
}
bool ReadAccelerometer(tflite::ErrorReporter* error_reporter, float* input,
int length) {
int rc;
struct sensor_value accel[3];
int samples_count;
rc = sensor_sample_fetch(sensor);
if (rc < 0) {
TF_LITE_REPORT_ERROR(error_reporter, "Fetch failed\n");
return false;
}
// skip if there is no data
if (!rc) {
return false;
}
samples_count = rc;
for (int i = 0; i < samples_count; i++) {
rc = sensor_channel_get(sensor, SENSOR_CHAN_ACCEL_XYZ, accel);
if (rc < 0) {
TF_LITE_REPORT_ERROR(error_reporter, "ERROR: Update failed: %d\n", rc);
return false;
}
bufx[begin_index] = (float)sensor_value_to_double(&accel[0]);
bufy[begin_index] = (float)sensor_value_to_double(&accel[1]);
bufz[begin_index] = (float)sensor_value_to_double(&accel[2]);
begin_index++;
if (begin_index >= BUFLEN) begin_index = 0;
}
if (initial && begin_index >= 100) {
initial = false;
}
if (initial) {
return false;
}
int sample = 0;
for (int i = 0; i < (length - 3); i += 3) {
int ring_index = begin_index + sample - length / 3;
if (ring_index < 0) {
ring_index += BUFLEN;
}
input[i] = bufx[ring_index];
input[i + 1] = bufy[ring_index];
input[i + 2] = bufz[ring_index];
sample++;
}
return true;
}

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@ -0,0 +1,29 @@
/* 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_MAGIC_WAND_ACCELEROMETER_HANDLER_H_
#define TENSORFLOW_LITE_MICRO_EXAMPLES_MAGIC_WAND_ACCELEROMETER_HANDLER_H_
#define kChannelNumber 3
#include "tensorflow/lite/c/c_api_internal.h"
#include "tensorflow/lite/micro/micro_error_reporter.h"
extern int begin_index;
extern TfLiteStatus SetupAccelerometer(tflite::ErrorReporter* error_reporter);
extern bool ReadAccelerometer(tflite::ErrorReporter* error_reporter,
float* input, int length, bool reset_buffer);
#endif // TENSORFLOW_LITE_MICRO_EXAMPLES_MAGIC_WAND_ACCELEROMETER_HANDLER_H_

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@ -0,0 +1,19 @@
/* 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.
==============================================================================*/
extern "C" {
void __assert_func(const char *, int, const char *, const char *) {}
}

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@ -21,6 +21,8 @@ limitations under the License.
#include "tensorflow/lite/c/builtin_op_data.h"
#include "tensorflow/lite/kernels/internal/cppmath.h"
#include "tensorflow/lite/kernels/internal/max.h"
#include "tensorflow/lite/kernels/internal/min.h"
namespace tflite {
namespace ops {
@ -32,11 +34,11 @@ inline float ActivationValFloat(TfLiteFusedActivation act, float a) {
case kTfLiteActNone:
return a;
case kTfLiteActRelu:
return std::max(0.0f, a);
return TfLiteMax(0.0f, a);
case kTfLiteActRelu1:
return std::max(-1.0f, std::min(a, 1.0f));
return TfLiteMax(-1.0f, TfLiteMin(a, 1.0f));
case kTfLiteActRelu6:
return std::max(0.0f, std::min(a, 6.0f));
return TfLiteMax(0.0f, TfLiteMin(a, 6.0f));
case kTfLiteActTanh:
return std::tanh(a);
case kTfLiteActSignBit:

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@ -185,6 +185,8 @@ tensorflow/lite/kernels/internal/reference/logistic.h \
tensorflow/lite/kernels/internal/reference/strided_slice.h \
tensorflow/lite/kernels/internal/reference/tanh.h \
tensorflow/lite/kernels/internal/cppmath.h \
tensorflow/lite/kernels/internal/max.h \
tensorflow/lite/kernels/internal/min.h \
tensorflow/lite/kernels/internal/strided_slice_logic.h \
tensorflow/lite/kernels/internal/tensor.h \
tensorflow/lite/kernels/internal/tensor_ctypes.h \

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@ -93,6 +93,17 @@ build_embarc_mli() {
make -j 4 -C ${1}/lib/make TCF_FILE=${2}
}
setup_zephyr() {
command -v virtualenv >/dev/null 2>&1 || {
echo >&2 "The required 'virtualenv' tool isn't installed. Try 'pip install virtualenv'."; exit 1;
}
virtualenv -p python3 ${1}/venv-zephyr
. ${1}/venv-zephyr/bin/activate
python ${1}/venv-zephyr/bin/pip install -r ${1}/scripts/requirements.txt
west init -m https://github.com/zephyrproject-rtos/zephyr.git
deactivate
}
# Main function handling the download, verify, extract, and patch process.
download_and_extract() {
local usage="Usage: download_and_extract URL MD5 DIR [ACTION] [ACTION_PARAM]"
@ -179,6 +190,8 @@ download_and_extract() {
else
build_embarc_mli ${dir} ${action_param1}
fi
elif [[ ${action} == "setup_zephyr" ]]; then
setup_zephyr ${dir}
elif [[ ${action} ]]; then
echo "Unknown action '${action}'"
exit 1

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@ -74,6 +74,14 @@ $(PRJDIR)$(3)/$(1)/%: % third_party_downloads
@mkdir -p $$(dir $$@)
@cp $$< $$@
$(PRJDIR)$(3)/cmake/boards/%: tensorflow/lite/micro/examples/$(3)/zephyr_riscv/boards/%
@mkdir -p $$(dir $$@)
@cp $$< $$@
$(PRJDIR)$(3)/cmake/%: tensorflow/lite/micro/examples/$(3)/zephyr_riscv/%
@mkdir -p $$(dir $$@)
@cp $$< $$@
$(PRJDIR)$(3)/$(1)/third_party/%: tensorflow/lite/micro/tools/make/downloads/% third_party_downloads
@mkdir -p $$(dir $$@)
@cp $$< $$@

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@ -0,0 +1,6 @@
ifeq ($(TARGET), zephyr_vexriscv)
$(eval $(call add_third_party_download,$(ZEPHYR_URL),$(ZEPHYR_MD5),zephyr,setup_zephyr))
export ZEPHYR_SDK_INSTALL_DIR?=/opt/zephyr-sdk
export ZEPHYR_BASE?=$(realpath $(MAKEFILE_DIR)/downloads/zephyr)
endif

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@ -0,0 +1,18 @@
cmake_minimum_required(VERSION 3.13.1)
include($ENV{ZEPHYR_BASE}/cmake/app/boilerplate.cmake NO_POLICY_SCOPE)
project(tf_lite_magic_wand)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} %{CXX_FLAGS}%")
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} %{CC_FLAGS}%")
set(CMAKE_EXE_LINKER_FLAGS "%{LINKER_FLAGS}%")
# -fno-threadsafe-statics -- disables the mutex around initialization of local static variables
target_compile_options(app PRIVATE "-fno-threadsafe-statics")
target_sources(app PRIVATE
%{SRCS}%
)
target_include_directories(app PRIVATE
%{INCLUDE_DIRS}%
)

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@ -77,6 +77,9 @@ EMBARC_MLI_MD5 := "2bf4982a327fdaa9d475803ce014d1ef"
EMBARC_MLI_PRE_COMPILED_URL := "https://github.com/foss-for-synopsys-dwc-arc-processors/embarc_mli/releases/download/Release_1.1_RC2/embARC_MLI_package.zip"
EMBARC_MLI_PRE_COMPILED_MD5 := "a95ff9e0370434484f14e7e4114327f6"
ZEPHYR_URL := "https://github.com/antmicro/zephyr/archive/55e36b9.zip"
ZEPHYR_MD5 := "755622eb4812fde918a6382b65d50c3b"
XTENSA_HIFI4_URL :="https://github.com/foss-xtensa/nnlib-hifi4/raw/master/archive/xa_nnlib_04_07.zip"
XTENSA_HIFI4_MD5 :="f234764928f9a42901df33a27e118c8b"