PR #46195: micro: Add Sony Spresense board target

Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/46195 Add build terget on Sony Spresense board. To build it, Spresense SDK is required. And hello_world, micro_speech and preson_detection are added for the board. The related issue is #46240 Copybara import of the project: -- bff4913f03be75a368c6845c448fdd2fe5624bb1 by Takayoshi Koizumi <takayoshi.koizumi@gmail.com>: Add Sony Spresense board target Add build terget on Sony Spresense board. To build it, Spresense SDK is required. And hello_world, micro_speech and preson_detection are added for the board. COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/46195 from takayoshi-k:add_spresense_target bff4913f03be75a368c6845c448fdd2fe5624bb1 PiperOrigin-RevId: 356357681 Change-Id: I4b62059ef27b47775431168536da563a56343a6d
2021-02-08 14:46:02 -08:00 · 2021-02-08 14:46:02 -08:00 · 885c55ca95
commit 885c55ca95
parent 236369d651
12 changed files with 599 additions and 0 deletions
--- a/tensorflow/lite/micro/examples/hello_world/spresense/Makefile.inc
+++ b/tensorflow/lite/micro/examples/hello_world/spresense/Makefile.inc
@ -0,0 +1,18 @@
+# Settings for Spresense platform for Hello World example
+# This should be read when the EXTERNALS_TENSORFLOW_EXAMPLE_HELLOWORLD option is selected
+# in Spresense configuration.
+
+ifeq ($(TARGET), spresense)
+ifeq ($(CONFIG_EXTERNALS_TENSORFLOW_EXAMPLE_HELLOWORLD),y)
+
+SPRESENSE_HELLO_WORLD_EXCLUDED_SRCS = \
+    tensorflow/lite/micro/examples/hello_world/main.cc
+
+SPRESENSE_HELLO_WORLD_SRCS = \
+    $(filter-out $(SPRESENSE_HELLO_WORLD_EXCLUDED_SRCS),$(HELLO_WORLD_SRCS))
+
+# In spresence case, those file should be included into libtensorflow-microlite.
+THIRD_PARTY_CC_SRCS += $(SPRESENSE_HELLO_WORLD_SRCS)
+
+endif
+endif
--- a/tensorflow/lite/micro/examples/hello_world/spresense/README.md
+++ b/tensorflow/lite/micro/examples/hello_world/spresense/README.md
@ -0,0 +1,84 @@
+# Hello World Example for Spresense
+
+Here explaines how to build and execute this Hello World Example for Spresense.
+To try this on the Spresense, below hardware is required.
+
+Spresense Main board, which is a microcontroller board.
+
+## Table of contents
+
+-   [How to build](#how-to-build)
+-   [How to run](#how-to-run)
+
+## How to build
+
+The tensorflow.git will be downloaded in build system of Spresense.
+
+### Initial setup
+
+The Spresense SDK build system is required to build this example. The following
+instructions will help you to make it on your PC.
+[Spresense SDK Getting Started Guide:EN](https://developer.sony.com/develop/spresense/docs/sdk_set_up_en.html)
+[Spresense SDK Getting Started Guide:JA](https://developer.sony.com/develop/spresense/docs/sdk_set_up_ja.html)
+[Spresense SDK Getting Started Guide:CN](https://developer.sony.com/develop/spresense/docs/sdk_set_up_zh.html)
+
+And after setup the build system, download
+[Spresense repository](https://github.com/sonydevworld/spresense).
+
+```
+git clone --recursive https://github.com/sonydevworld/spresense.git
+```
+
+### Configure Spresense for this example
+
+The Spresense SDK uses Kconfig mechanism for configuration of software
+components. So at first, you need to configure it for this example. Spresense
+SDK provides some default configurations, and there is a default config to build
+this Hello World example.
+
+1.  Go to sdk/ directory in the repository.
+
+    ```
+    cd spresense/sdk
+    ```
+
+2.  Execute config.py to configure for this example.
+
+    ```
+    ./tools/config.py examples/tf_example_hello_world
+    ```
+
+This command creates .config file in spesense/nuttx directory.
+
+### Build and Flash the binary into Spresense Main board
+
+After configured, execute make and then flash built image.
+
+1.  Execute "make" command in the same directory you configured.
+
+    ```
+    make
+    ```
+
+2.  Flash built image into Spresense main board. If the build is successful, a
+    file named nuttx.spk will be created in the current directory, and flash it
+    into Spresense Main board. Make sure USB cable is connected between the
+    board and your PC. The USB will be recognized as USB/serial device like
+    /dev/ttyUSB0 in your PC. In this explanation, we will assume that the device
+    is recognized as /dev/ttyUSB0.
+
+    ```
+    ./tools/flash.sh -c /dev/ttyUSB0 nuttx.spk
+    ```
+
+## How to run
+
+To run the example, connect to the device with a terminal soft like "minicom".
+Then you can see a "nsh>" prompt on it. (If you can't see the prompt, try to
+press enter.)
+
+1.  Execute tf_example command on the prompt.
+
+    ```
+    nsh> tf_example
+    ```
--- a/tensorflow/lite/micro/examples/micro_speech/spresense/Makefile.inc
+++ b/tensorflow/lite/micro/examples/micro_speech/spresense/Makefile.inc
@ -0,0 +1,22 @@
+# Settings for Spresense platform for Hello World example
+# This should be read when the EXTERNALS_TENSORFLOW_EXAMPLE_MICROSPEECH option is selected
+# in Spresense configuration.
+
+ifeq ($(TARGET), spresense)
+ifeq ($(CONFIG_EXTERNALS_TENSORFLOW_EXAMPLE_MICROSPEECH),y)
+
+SPRESENSE_MICRO_SPEECH_EXCLUDED_SRCS = \
+    tensorflow/lite/micro/examples/micro_speech/main.cc \
+    tensorflow/lite/micro/examples/micro_speech/audio_provider.cc \
+    tensorflow/lite/micro/examples/micro_speech/command_responder.cc
+
+SPRESENSE_MICRO_SPEECH_SRCS = \
+    tensorflow/lite/micro/examples/micro_speech/spresense/src/spresense_audio_provider.cc \
+    tensorflow/lite/micro/examples/micro_speech/spresense/src/spresense_command_responder.cc \
+    $(filter-out $(SPRESENSE_MICRO_SPEECH_EXCLUDED_SRCS),$(MICRO_SPEECH_SRCS))
+
+# In spresence case, those file should be included into libtensorflow-microlite.
+THIRD_PARTY_CC_SRCS += $(SPRESENSE_MICRO_SPEECH_SRCS)
+
+endif
+endif
--- a/tensorflow/lite/micro/examples/micro_speech/spresense/README.md
+++ b/tensorflow/lite/micro/examples/micro_speech/spresense/README.md
@ -0,0 +1,94 @@
+# Micro Speech Example for Spresense
+
+Here explaines how to build and execute this Micro Speach Example for Spresense.
+To try this on the Spresense, below hardware is required.
+
+Spresense Main board, which is a microcontroller board. Spresense Extention
+board, which is for connecting a mic like MEMS mic. Analog mic, which is like
+MEMS mic.
+
+To connect a mic on Spresense Extention board, the following page helps you.
+[How to use microphons](https://developer.sony.com/develop/spresense/docs/hw_docs_en.html#_how_to_use_microphones)
+
+For this example, the Mic-A is used.
+
+## Table of contents
+
+-   [How to build](#how-to-build)
+-   [How to run](#how-to-run)
+
+## How to build
+
+The tensorflow.git will be downloaded in build system of Spresense.
+
+### Initial setup
+
+The Spresense SDK build system is required to build this example. The following
+instructions will help you to make it on your PC.
+[Spresense SDK Getting Started Guide:EN](https://developer.sony.com/develop/spresense/docs/sdk_set_up_en.html)
+[Spresense SDK Getting Started Guide:JA](https://developer.sony.com/develop/spresense/docs/sdk_set_up_ja.html)
+[Spresense SDK Getting Started Guide:CN](https://developer.sony.com/develop/spresense/docs/sdk_set_up_zh.html)
+
+And after setup the build system, download
+[Spresense repository](https://github.com/sonydevworld/spresense).
+
+```
+git clone --recursive https://github.com/sonydevworld/spresense.git
+```
+
+### Configure Spresense for this example
+
+The Spresense SDK uses Kconfig mechanism for configuration of software
+components. So at first, you need to configure it for this example. Spresense
+SDK provides some default configurations, and there is a default config to build
+this Micro Speach example.
+
+1.  Go to sdk/ directory in the repository.
+
+    ```
+    cd spresense/sdk
+    ```
+
+2.  Execute config.py to configure for this example.
+
+    ```
+    ./tools/config.py examples/tf_example_micro_speech
+    ```
+
+This command creates .config file in spesense/nuttx directory.
+
+### Build and Flash the binary into Spresense Main board
+
+After configured, execute make and then flash built image.
+
+1.  Execute "make" command in the same directory you configured.
+
+    ```
+    make
+    ```
+
+2.  Flash built image into Spresense main board. If the build is successful, a
+    file named nuttx.spk will be created in the current directory, and flash it
+    into Spresense Main board. Make sure USB cable is connected between the
+    board and your PC. The USB will be recognized as USB/serial device like
+    /dev/ttyUSB0 in your PC. In this explanation, we will assume that the device
+    is recognized as /dev/ttyUSB0.
+
+    ```
+    ./tools/flash.sh -c /dev/ttyUSB0 nuttx.spk
+    ```
+
+## How to run
+
+To run the example, connect to the device with a terminal soft like "minicom".
+Then you can see a "nsh>" prompt on it. (If you can't see the prompt, try to
+press enter.)
+
+1.  Execute tf_example command on the prompt.
+
+    ```
+    nsh> tf_example
+    ```
+
+2.  Speak 'yes' or 'no' on your mic. If the Micro Speech recognized it, the log
+    shows 'yes' or 'no'.
--- a/tensorflow/lite/micro/examples/micro_speech/spresense/src/spresense_audio_provider.cc
+++ b/tensorflow/lite/micro/examples/micro_speech/spresense/src/spresense_audio_provider.cc
@ -0,0 +1,66 @@
+/* Copyright 2021 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.
+==============================================================================*/
+
+// The SPRESENSE_CONFIG_H is defined on compiler option.
+// It contains "nuttx/config.h" from Spresense SDK to see the configurated
+// parameters.
+#include SPRESENSE_CONFIG_H
+#include "spresense_audio_provider.h"
+
+#include "tensorflow/lite/micro/examples/micro_speech/audio_provider.h"
+#include "tensorflow/lite/micro/examples/micro_speech/micro_features/micro_model_settings.h"
+
+// Below definition is for dump audio captured data for debugging.
+// #define CAPTURE_DATA
+
+#ifdef CAPTURE_DATA
+#include <stdio.h>
+#include <string.h>
+
+static int16_t tmp_data[16000];
+static int data_cnt;
+static bool is_printed = false;
+#endif
+
+TfLiteStatus GetAudioSamples(tflite::ErrorReporter* error_reporter,
+                             int start_ms, int duration_ms,
+                             int* audio_samples_size, int16_t** audio_samples) {
+  if (spresense_audio_getsamples(start_ms, duration_ms, kAudioSampleFrequency,
+                                 audio_samples_size, audio_samples) < 0) {
+    return kTfLiteError;
+  } else {
+#ifdef CAPTURE_DATA
+    if (start_ms >= 10000) {
+      if (data_cnt == 0) printf("=========== Start Recording ==============\n");
+      if (data_cnt < 16000) {
+        int sz = (16000 - data_cnt) > *audio_samples_size ? *audio_samples_size
+                                                          : (16000 - data_cnt);
+        memcpy(&tmp_data[data_cnt], *audio_samples, sz * 2);
+        data_cnt += sz;
+      }
+      if (!is_printed && data_cnt >= 16000) {
+        printf("============ Stop Recording =============\n");
+        for (int i = 0; i < 16000; i++) {
+          printf("%d\n", tmp_data[i]);
+        }
+        is_printed = true;
+      }
+    }
+#endif
+    return kTfLiteOk;
+  }
+}
+
+int32_t LatestAudioTimestamp() { return spresense_audio_lasttimestamp(); }
--- a/tensorflow/lite/micro/examples/micro_speech/spresense/src/spresense_command_responder.cc
+++ b/tensorflow/lite/micro/examples/micro_speech/spresense/src/spresense_command_responder.cc
@ -0,0 +1,33 @@
+/* Copyright 2021 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.
+==============================================================================*/
+
+// The SPRESENSE_CONFIG_H is defined on compiler option.
+// It contains "nuttx/config.h" from Spresense SDK to see the configurated
+// parameters.
+#include SPRESENSE_CONFIG_H
+#include "spresense_command_responder.h"
+
+#include "tensorflow/lite/micro/examples/micro_speech/command_responder.h"
+
+// The default implementation writes out the name of the recognized command
+// to the error console. Real applications will want to take some custom
+// action instead, and should implement their own versions of this function.
+void RespondToCommand(tflite::ErrorReporter* error_reporter,
+                      int32_t current_time, const char* found_command,
+                      uint8_t score, bool is_new_command) {
+  TF_LITE_REPORT_ERROR(error_reporter, "%s Heard %s (%d) @%dms",
+                       is_new_command ? "F" : " ", found_command, score,
+                       current_time);
+}
--- a/tensorflow/lite/micro/examples/person_detection/spresense/Makefile.inc
+++ b/tensorflow/lite/micro/examples/person_detection/spresense/Makefile.inc
@ -0,0 +1,20 @@
+# Settings for Spresense platform for Person detection  example
+# This should be read when the EXTERNALS_TENSORFLOW_EXAMPLE_PERSONDETECTION option is selected
+# in Spresense configuration.
+
+ifeq ($(TARGET), spresense)
+ifeq ($(CONFIG_EXTERNALS_TENSORFLOW_EXAMPLE_PERSONDETECTION),y)
+
+SPRESENSE_PERSON_DETECTION_EXCLUDED_SRCS = \
+    tensorflow/lite/micro/examples/person_detection/main.cc \
+    tensorflow/lite/micro/examples/person_detection/image_provider.cc
+
+SPRESENSE_PERSON_DETECTION_SRCS = \
+    tensorflow/lite/micro/examples/person_detection/spresense/src/spresense_image_provider.cc \
+    $(filter-out $(SPRESENSE_PERSON_DETECTION_EXCLUDED_SRCS),$(person_detection_SRCS))
+
+# In spresence case, those file should be included into libtensorflow-microlite.
+THIRD_PARTY_CC_SRCS += $(SPRESENSE_PERSON_DETECTION_SRCS)
+
+endif
+endif
--- a/tensorflow/lite/micro/examples/person_detection/spresense/README.md
+++ b/tensorflow/lite/micro/examples/person_detection/spresense/README.md
@ -0,0 +1,89 @@
+# Person detection example for Spresense
+
+Here explaines how to build and execute this Person detection example for
+Spresense. To try this on the Spresense, below hardware is required.
+
+Spresense Main board, which is a microcontroller board. Spresense Extention
+board, which is for connecting a mic like MEMS mic. Spresense Camera board,
+which is for sensing image
+
+## Table of contents
+
+-   [How to build](#how-to-build)
+-   [How to run](#how-to-run)
+
+## How to build
+
+The tensorflow.git will be downloaded in build system of Spresense.
+
+### Initial setup
+
+The Spresense SDK build system is required to build this example. The following
+instructions will help you to make it on your PC.
+[Spresense SDK Getting Started Guide:EN](https://developer.sony.com/develop/spresense/docs/sdk_set_up_en.html)
+[Spresense SDK Getting Started Guide:JA](https://developer.sony.com/develop/spresense/docs/sdk_set_up_ja.html)
+[Spresense SDK Getting Started Guide:CN](https://developer.sony.com/develop/spresense/docs/sdk_set_up_zh.html)
+
+And after setup the build system, download
+[Spresense repository](https://github.com/sonydevworld/spresense).
+
+```
+git clone --recursive https://github.com/sonydevworld/spresense.git
+```
+
+### Configure Spresense for this example
+
+The Spresense SDK uses Kconfig mechanism for configuration of software
+components. So at first, you need to configure it for this example. Spresense
+SDK provides some default configurations, and there is a default config to build
+this Person detection example.
+
+1.  Go to sdk/ directory in the repository.
+
+    ```
+    cd spresense/sdk
+    ```
+
+2.  Execute config.py to configure for this example.
+
+    ```
+    ./tools/config.py examples/tf_example_persondetection
+    ```
+
+This command creates .config file in spesense/nuttx directory.
+
+### Build and Flash the binary into Spresense Main board
+
+After configured, execute make and then flash built image.
+
+1.  Execute "make" command in the same directory you configured.
+
+    ```
+    make
+    ```
+
+2.  Flash built image into Spresense main board. If the build is successful, a
+    file named nuttx.spk will be created in the current directory, and flash it
+    into Spresense Main board. Make sure USB cable is connected between the
+    board and your PC. The USB will be recognized as USB/serial device like
+    /dev/ttyUSB0 in your PC. In this explanation, we will assume that the device
+    is recognized as /dev/ttyUSB0.
+
+    ```
+    ./tools/flash.sh -c /dev/ttyUSB0 nuttx.spk
+    ```
+
+## How to run
+
+To run the example, connect to the device with a terminal soft like "minicom".
+Then you can see a "nsh>" prompt on it. (If you can't see the prompt, try to
+press enter.)
+
+1.  Execute tf_example command on the prompt.
+
+    ```
+    nsh> tf_example
+    ```
+
+2.  Put a person's face in the camera image. Rate which is a face or not will
+    print on the terminal as a result of the detection.
--- a/tensorflow/lite/micro/examples/person_detection/spresense/src/spresense_image_provider.cc
+++ b/tensorflow/lite/micro/examples/person_detection/spresense/src/spresense_image_provider.cc
@ -0,0 +1,32 @@
+/* Copyright 2021 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.
+==============================================================================*/
+
+// The SPRESENSE_CONFIG_H is defined on compiler option.
+// It contains "nuttx/config.h" from Spresense SDK to see the configurated
+// parameters.
+#include SPRESENSE_CONFIG_H
+#include "spresense_image_provider.h"
+
+#include "tensorflow/lite/micro/examples/person_detection/image_provider.h"
+#include "tensorflow/lite/micro/examples/person_detection/model_settings.h"
+
+TfLiteStatus GetImage(tflite::ErrorReporter* error_reporter, int image_width,
+                      int image_height, int channels, int8_t* image_data) {
+  if (spresense_getimage((unsigned char*)image_data) == 0) {
+    return kTfLiteOk;
+  } else {
+    return kTfLiteError;
+  }
+}
--- a/tensorflow/lite/micro/spresense/compiler_specific.cc
+++ b/tensorflow/lite/micro/spresense/compiler_specific.cc
@ -0,0 +1,21 @@
+/* Copyright 2021 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" {
+
+char dummy[16];
+char* _impure_ptr = &dummy[0];
+void __assert_func(const char*, int, const char*, const char*) {}
+}
--- a/tensorflow/lite/micro/spresense/debug_log.cc
+++ b/tensorflow/lite/micro/spresense/debug_log.cc
@ -0,0 +1,20 @@
+/* Copyright 2021 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/debug_log.h"
+
+#include <stdio.h>
+
+extern "C" void DebugLog(const char* s) { printf(s); }
--- a/tensorflow/lite/micro/tools/make/targets/spresense_makefile.inc
+++ b/tensorflow/lite/micro/tools/make/targets/spresense_makefile.inc
@ -0,0 +1,100 @@
+# Settings for Spresense based platforms
+# For spresense, Tensorflow lite Microcontroller is used as a library.
+
+# This setting makefile accept 4 optional parameters on the make command line.
+# These options below are needed for build an example of Tensorflow Microcontroller.
+# But just build a library, no need to add those options.
+#
+#   SPRESENSE_DEFS       : This is the file path to Make.defs which includes configuration
+#                          parameters of spresense.
+#   SPRESENSE_CONFIG_H   : This is the file path to config.h which includes configuration
+#                          parameters for source code.
+#   SPRESENSE_CURDIR     : This is the directory path of externals/tensorflow in spresense
+#                          source repository.
+#   SPRESENSE_APP_TFMAKE : This is the file path to makefile.inc for additional source code
+#                          in spresense to use tensorflow.
+
+# Evacuate Compiler flags to avoid override them with loading Spresense Config
+TMP_CXXFLAGS := $(CXXFLAGS)
+TMP_CCLAGS := $(CCFLAGS)
+
+# Define empty variable for add spresense specific settings
+SPRESENSE_PLATFORM_FLAGS :=
+
+ifneq ($(SPRESENSE_DEFS),)
+
+# Load Spresense Config
+include $(SPRESENSE_DEFS)
+
+SPRESENSE_PLATFORM_FLAGS := \
+  -DSPRESENSE_CONFIG_H="\"$(SPRESENSE_CONFIG_H)\"" \
+  -I$(SPRESENSE_CURDIR)/wrapper_include
+
+# Load application for Tensorflow lite micro in Spresense
+ifneq ($(SPRESENSE_APP_TFMAKE),)
+ifeq ($(CONFIG_EXTERNALS_TENSORFLOW_EXAMPLE_NONE),y)
+-include $(SPRESENSE_APP_TFMAKE)
+endif
+endif
+
+endif
+
+TARGET_ARCH := cortex-m4
+TARGET_TOOLCHAIN_PREFIX := arm-none-eabi-
+
+PLATFORM_FLAGS = \
+  $(SPRESENSE_PLATFORM_FLAGS) \
+  -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK \
+  -DTF_LITE_STATIC_MEMORY \
+  -DTF_LITE_MCU_DEBUG_LOG \
+  -fmessage-length=0 \
+  -fno-exceptions \
+  -fno-unwind-tables \
+  -ffunction-sections \
+  -fdata-sections \
+  -funsigned-char \
+  -MMD \
+  -mcpu=cortex-m4 \
+  -mabi=aapcs \
+  -mthumb \
+  -mfpu=fpv4-sp-d16 \
+  -mfloat-abi=hard \
+  -Wall \
+  -Wextra \
+  -Wno-shadow \
+  -Wno-vla \
+  -Wno-strict-aliasing \
+  -Wno-type-limits \
+  -Wno-unused-parameter \
+  -Wno-missing-field-initializers \
+  -Wno-write-strings \
+  -Wno-sign-compare \
+  -Wunused-function \
+  -fno-delete-null-pointer-checks \
+  -fomit-frame-pointer \
+  -Os
+
+CXXFLAGS := $(TMP_CXXFLAGS) $(PLATFORM_FLAGS) -std=gnu++11 -fno-rtti -fno-use-cxa-atexit
+CCFLAGS := $(TMP_CCFLAGS) $(PLATFORM_FLAGS)
+
+BUILD_TYPE := micro
+
+INCLUDES +=  -isystem$(MAKEFILE_DIR)/downloads/cmsis/CMSIS/Core/Include/
+
+THIRD_PARTY_CC_SRCS := \
+    $(THIRD_PARTY_CC_SRCS) \
+    $(MAKEFILE_DIR)/../../spresense/compiler_specific.cc \
+
+# TODO: Now Spresense environment is not support tests.
+#       So remove every tests.
+MICROLITE_TEST_SRCS := 
+MICRO_LITE_EXAMPLE_TESTS :=
+
+# These are microcontroller-specific rules for converting the ELF output
+# of the linker into a binary image that can be loaded directly.
+OBJCOPY := $(TARGET_TOOLCHAIN_PREFIX)objcopy
+
+$(BINDIR)/%.bin: $(BINDIR)/%
+	@mkdir -p $(dir $@)
+	$(OBJCOPY) $< $@ -O binary
+