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53 Commits

Author SHA1 Message Date
simbit18
4315a1c8cc [nxstyle] fix Relative file path 
fix Relative file path does not match actual file.

Signed-off-by: simbit18 <simbit18@gmail.com>
 2025-02-21 16:29:13 -05:00
Alin Jerpelea
7220a3bf48 mlearning: migrate to SPDX identifier 
Most tools used for compliance and SBOM generation use SPDX identifiers
This change brings us a step closer to an easy SBOM generation.

Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
 2024-12-21 13:53:10 +08:00
chao an
d6f6f5ce11 mlearning/tflite-micro: fix build break if enable cmsis-nn and neon 
Signed-off-by: chao an <anchao@lixiang.com>
 2024-12-19 02:00:48 +08:00
chao an
9c5a2ad062 mlearning/tflite-micro: add a config option to redirect micro log to syslog 
new config option TFLITEMICRO_SYSLOG to redirect micro log to syslog

Signed-off-by: chao an <anchao@lixiang.com>
 2024-12-10 18:11:27 +08:00
chao an
37acd5e671 mlearning: fix build break if enable cmsis-nn 
apps/mlearning/tflite-micro/tflite-micro/tensorflow/lite/micro/kernels/cmsis_nn/conv.cc:18:10:
  fatal error: Include/arm_nnfunctions.h: No such file or directory
   18 | #include "Include/arm_nnfunctions.h"
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~

Signed-off-by: chao an <anchao@lixiang.com>
 2024-12-09 17:29:05 +08:00
chao an
296d5d15af tflm: add tflm hello world example into nuttx build 
1. add tflm hello world example into nuttx build
2. add tflm model convert flow

Test on sim/tflm

$ cmake -B build -DBOARD_CONFIG=sim/tflm -GNinja
$ cmake --build build
$ ./build/nuttx

NuttShell (NSH) NuttX-10.4.0
nsh> tflm_hello
0 (id=0): size=16, offset=0, first_used=0 last_used=1
1 (id=1): size=64, offset=64, first_used=1 last_used=2
2 (id=2): size=64, offset=0, first_used=2 last_used=3
3 (id=3): size=16, offset=64, first_used=3 last_used=3
 0: 0000000000...................................................................... (1k)
 1: 0000000000..............................1111111111111111111111111111111111111111 (1k)
 2: 22222222222222222222222222222222222222221111111111111111111111111111111111111111 (1k)
 3: 22222222222222222222222222222222222222223333333333.............................. (1k)

"Unique Tag","Total ticks across all events with that tag."
FULLY_CONNECTED, 0
"total number of ticks", 0

[RecordingMicroAllocator] Arena allocation total 2344 bytes
[RecordingMicroAllocator] Arena allocation head 128 bytes
[RecordingMicroAllocator] Arena allocation tail 2216 bytes
[RecordingMicroAllocator] 'TfLiteEvalTensor data' used 240 bytes with alignment overhead (requested 240 bytes for 10 allocations)
[RecordingMicroAllocator] 'Persistent TfLiteTensor data' used 128 bytes with alignment overhead (requested 128 bytes for 2 tensors)
[RecordingMicroAllocator] 'Persistent buffer data' used 1152 bytes with alignment overhead (requested 1100 bytes for 7 allocations)
[RecordingMicroAllocator] 'NodeAndRegistration struct' used 192 bytes with alignment overhead (requested 192 bytes for 3 NodeAndRegistration structs)
0 (id=0): size=16, offset=0, first_used=0 last_used=1
1 (id=1): size=64, offset=64, first_used=1 last_used=2
2 (id=2): size=64, offset=0, first_used=2 last_used=3
3 (id=3): size=16, offset=64, first_used=3 last_used=3
 0: 0000000000...................................................................... (1k)
 1: 0000000000..............................1111111111111111111111111111111111111111 (1k)
 2: 22222222222222222222222222222222222222221111111111111111111111111111111111111111 (1k)
 3: 22222222222222222222222222222222222222223333333333.............................. (1k)
0 (id=0): size=16, offset=16, first_used=0 last_used=1
1 (id=1): size=16, offset=0, first_used=1 last_used=2
2 (id=2): size=16, offset=16, first_used=2 last_used=3
3 (id=3): size=16, offset=0, first_used=3 last_used=3
 0: ................0000000000000000................................................ (1k)
 1: 11111111111111110000000000000000................................................ (1k)
 2: 11111111111111112222222222222222................................................ (1k)
 3: 33333333333333332222222222222222................................................ (1k)
~~~ALL TESTS PASSED~~~

nsh>

Signed-off-by: chao an <anchao@lixiang.com>
 2024-12-02 13:33:55 +08:00
chao an
8b253d699c mlearning/tflite-micro: add tflm tool into cmake build 
Signed-off-by: chao an <anchao@lixiang.com>
 2024-12-01 10:14:49 +08:00
chao an
5cb1cc7ac7 mlearning/tflite-micro: correct include patch of support library 
1. correct include patch of support library
2. add flatbuffers include path

Signed-off-by: chao an <anchao@lixiang.com>
 2024-12-01 10:14:49 +08:00
chao an
581b4cb673 mlearning/CMakeLists: include subdirectory to ensure ML module could be compile 
Signed-off-by: chao an <anchao@lixiang.com>
 2024-12-01 10:14:49 +08:00
chao an
8bc824a5e7 system/tflite-micro: fix patch flow of tflite-micro 
Signed-off-by: chao an <anchao@lixiang.com>
 2024-12-01 10:14:49 +08:00
jihandong
25937282ed ml: follow nxstyle 
Signed-off-by: jihandong <jihandong@xiaomi.com>
 2024-10-18 09:40:17 +08:00
jihandong
7d87768f78 ml: a cmdline tool to use tflite-micro. 
Signed-off-by: jihandong <jihandong@xiaomi.com>
 2024-10-18 09:40:17 +08:00
jihandong
b91adbb9f2 ml: useful tflm debug options 
print memory plan, and time cost of each operators.

Signed-off-by: jihandong <jihandong@xiaomi.com>
 2024-10-18 09:40:17 +08:00
jihandong
f2eb5cd3c4 ml: tflite extra hardware support. 
Signed-off-by: jihandong <jihandong@xiaomi.com>
 2024-10-18 09:40:17 +08:00
jihandong
b15e71cd22 ml: update Makefile 
-O3: reduce code size.
-DTF_LITE_STATIC_MEMORY: cause bugs on some cores.
+DTFLITE_EMULATE_FLOAT: robuster to emulate float cucalation by fix-point.
Signed-off-by: jihandong <jihandong@xiaomi.com>
 2024-10-18 09:40:17 +08:00
jihandong
c585aa147a ml: clean tflite Makefile 
Signed-off-by: jihandong <jihandong@xiaomi.com>
 2024-10-18 09:40:17 +08:00
xinhaiteng
958d8e03eb Modify the usage error of neon instruction set 
The second argument of vgetq_lane_s32(__a, __b) needs to be initialized before compilation, so unroll the for loop. and correct the passed parameters.

Signed-off-by: xinhaiteng <xinhaiteng@xiaomi.com>
 2024-10-18 09:40:17 +08:00
renzhiyuan1
eb56c62dc9 cmake:add tflite-micro CMake build 
Signed-off-by: renzhiyuan1 <renzhiyuan1@xiaomi.com>
 2024-10-18 09:40:17 +08:00
renzhiyuan1
8dfd998db1 cmake:add cmsis-nn CMake build 
Signed-off-by: renzhiyuan1 <renzhiyuan1@xiaomi.com>
 2024-10-18 09:40:17 +08:00
xinhaiteng
dda8cab335 ml: tflm mean optimization patch 
Separate the Int8 implementation of the 'mean' operator to reduce the code size.

Signed-off-by: xinhaiteng <xinhaiteng@xiaomi.com>
 2024-10-18 09:40:17 +08:00
xinhaiteng
068b2b16bb ml: tflm quantize optimization patch 
Separate the 'Float32 to Int8' implementation of the 'quantize' operator to reduce the code size.

Signed-off-by: xinhaiteng <xinhaiteng@xiaomi.com>
 2024-10-18 09:40:17 +08:00
xinhaiteng
570102c501 delete the neon conv2D 
The complete implementation is placed separately in mLearning/tflite-micro/operators/neon, delete this part.

Signed-off-by: xinhaiteng <xinhaiteng@xiaomi.com>
 2024-10-18 09:40:17 +08:00
jihandong
14a591fab2 ml: tflm dequantize optimization patch 
Signed-off-by: jihandong <jihandong@xiaomi.com>
 2024-10-18 09:40:17 +08:00
xinhaiteng
67f495e360 Added Cortex-A compilation environment. 
Cortex-A compilation options are added to tflite-micro and cmsis-nn, and new operator compilation environments are configured.

Signed-off-by: xinhaiteng <xinhaiteng@xiaomi.com>
 2024-10-18 09:40:17 +08:00
xinhaiteng
11519fe1ca Update third-party library version 
Tflite-micro, ruy and cmsis-nn need to be updated to a new version.
Signed-off-by: xinhaiteng <xinhaiteng@xiaomi.com>
 2024-10-18 09:40:17 +08:00
xinhaiteng
fb17e33894 Neon optimized Add operator 
VELAPLATFO-25411

On the basis of CMSIS-NN, neon was used to optimize the Add operator, which calculates the offset and addition of eight input and output data in one loop.

Signed-off-by: xinhaiteng <xinhaiteng@xiaomi.com>
 2024-10-18 09:40:17 +08:00
xinhaiteng
a37ca36a8a Neon optimized Conv operator 
Based on CMSIS-NN, the Conv operator was optimized. Using Neon acceleration, multiply 8 input data and 8 filter data in a single loop; Using Im2col technology, convert the output data into a matrix, calculate 2 rows of input data and 4 rows of filter data in a single large loop, and obtain 2x4 output data.

Signed-off-by: xinhaiteng <xinhaiteng@xiaomi.com>
 2024-10-18 09:40:17 +08:00
xinhaiteng
754d9e39a8 TFLM Cortex-A NEON Conv 
Use neon to accelerate the conv op, and the output results are the same.

Signed-off-by: xinhaiteng <xinhaiteng@xiaomi.com>
 2024-10-18 09:40:17 +08:00
renzhiyuan1
71cbcb2618 Add configurations files. 
Add configuration files of TFLite Micro, its dependent third-party libraries and CMSIS_NN.

Signed-off-by: renzhiyuan1 <renzhiyuan1@xiaomi.com>
 2024-10-18 09:40:17 +08:00
xuxin19
bdfce937e9 remove:flatbuffers,gemmlowp,kissfft,ruy repos 
Signed-off-by: xuxin19 <xuxin19@xiaomi.com>
 2024-10-18 09:40:17 +08:00
dengwenqi
6b6e0783cf fix: git status/git status --ignore normalization check problem 
Signed-off-by: dengwenqi <dengwenqi@xiaomi.com>
 2024-10-18 09:40:17 +08:00
dengwenqi
06189b556c fix: git status/git status --ignore normalization check problem 
Signed-off-by: dengwenqi <dengwenqi@xiaomi.com>
 2024-10-18 09:40:17 +08:00
chao an
4d79a5cbaf add initial cmake build system 
Co-authored-by: Daniel Agar <daniel@agar.ca>
Signed-off-by: chao an <anchao@xiaomi.com>
 2023-07-08 13:52:02 +08:00
Nathan Hartman
8e77b79f78 Kconfig: Make indent consistent with TABS 2023-02-10 14:11:48 +08:00
chao an
42d34fcef3 build/Kconfig: fix warnings detected by kconfiglib 
Signed-off-by: chao an <anchao@xiaomi.com>
 2023-02-09 19:45:36 +08:00
yinshengkai
ee4d8b738f Makefile: replace INCDIR to INCDIR_PREFIX 
Signed-off-by: yinshengkai <yinshengkai@xiaomi.com>
 2022-11-10 02:38:58 +08:00
yinshengkai
2c3c2edcb7 Makefile: Remove INCDIROPT 
This option, which resolves to -w when CONFIG_CYGWIN_WINTOOL is
configured, is now appended to INCDIR in tools/Config.mk.

See git commit # 5eae32577e5d5226e5d3027c169eeb369f83f77d in the main
 2022-10-25 13:48:16 +08:00
Xiang Xiao
4941182cc6 Make.defs: Change "ifeq ($(XXX),y)" to "ifneq ($(XXX),) 
to support the tristate option correctly and unify the usage

Signed-off-by: Xiang Xiao <xiaoxiang@xiaomi.com>
 2022-10-16 14:59:08 +02:00
Huang Qi
2e2630e838 Don't download tarballs if a local git repo found 
Signed-off-by: Huang Qi <huangqi3@xiaomi.com>
 2022-08-28 17:20:47 +08:00
liuhaitao
14030f6ba4 Add minmea and cmsis .gitignore files 
Signed-off-by: liuhaitao <liuhaitao@xiaomi.com>
 2022-08-16 12:50:26 +03:00
Alin Jerpelea
b065d72194 mlearning: add Darknet (Open Source Neural Networks in C) 
Darknet is an open source neural network framework written
in C and CUDA. It is fast, easy to install, and supports
CPU and GPU computation.

You Only Look Once (YOLO) is a state-of-the-art,
real-time object detection system

Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
 2022-05-31 23:33:29 +08:00
Peter Bee
2831af6395 apps/mlearning: tweak lib makefile 
only one .c needed for each function group
add -flax-vector-conversions to avoid build error on gcc && M55

Signed-off-by: Peter Bee <bijunda1@xiaomi.com>
 2022-03-28 16:08:58 +08:00
Peter Bee
96efff32fe apps/mlearning: tweak lib makefile 
only one .c needed for each function group
add -flax-vector-conversions to avoid build error on gcc && M55

Signed-off-by: Peter Bee <bijunda1@xiaomi.com>
 2022-03-28 16:08:58 +08:00
Alin Jerpelea
18609ab1df mlearning: cmsis: enable FPU support 
In case of HW with FPU we can benefit from the FPU support.

Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
 2022-02-24 11:26:27 -03:00
Alin Jerpelea
67c05f172b mlearning: cmsis: libcmsisdsp: simplify config naming 
the extra function configuration name can be simplified
for better readability

Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
 2022-02-24 00:56:22 +08:00
Alin Jerpelea
a943184ab2 NNABLA: build as a module 
NNABLA_RT should compile as a module to provide the necessary support
for the dnn test application

Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
 2022-02-23 21:57:25 +08:00
Alin Jerpelea
0ee15da565 cmsis: build CMSIS support as a module 
CMSIS should compile as a module to provide the necessary support
for the dnn test application

Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
 2022-02-23 21:57:25 +08:00
Alin Jerpelea
0c69ccea18 libcmsisnn: add the new CHW functionality 
The patch for CHW functionality has been added as a result we
can compile the new functions

Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
 2022-02-23 21:57:25 +08:00
Alin Jerpelea
02a50ccb1f mlearning: CMSIS NN: add support for the CHW tensor layout 
- support float version of convolution
 - support the CHW tensor layout

following function prototypes are added:
 - arm_convolve_CHW_f32_basic_nonsquare()
 - arm_convolve_CHW_q15_basic_nonsquare()
 - arm_convolve_CHW_q7_basic_nonsquare()
 - arm_nn_CHW_mat_mult_kernel_q7_q15()

NOTE:this patch will be contributed to SMSIS and reverted later from NuttX
Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
 2022-02-19 00:54:49 +08:00
Alin Jerpelea
020503576c mlearning: nnabla: fix include path 
During contribution the folders have moved and the path
should be updated

Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
 2022-02-16 23:47:50 +08:00