This companion change updates the nuttx-apps CMake build to use
NuttX’s NUTTX_DIR and NUTTX_BINARY_DIR instead of CMAKE_SOURCE_DIR
and CMAKE_BINARY_DIR, which incorrectly refer to the outermost project
when NuttX is embedded via add_subdirectory(). Since apps/ is itself
included from NuttX’s top-level CMakeLists.txt, these variables were
effectively being used as references to NuttX’s root and inherited
the same bug fixed in the matching NuttX change for #19697. All
self-referencing uses are replaced while intentionally preserving
standalone projects and unrelated custom variables or hardcoded paths.
The change affects only the CMake build system, preserves normal
standalone behavior, and was tested with sim:nsh both standalone and
embedded, with apps such as hello and ostest successfully built and
available in NSH.
Fixes#19697.
Assisted-by: Claude:claude-sonnet-5
Signed-off-by: Alan Carvalho de Assis <acassis@gmail.com>
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>
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>
-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>
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>
The complete implementation is placed separately in mLearning/tflite-micro/operators/neon, delete this part.
Signed-off-by: xinhaiteng <xinhaiteng@xiaomi.com>
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>
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>
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>
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
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>
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>
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>
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>
- 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>
