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nuttx-apps/mlearning/cmsis/Makefile

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Add support for CMSIS NN the CMSIS NN software library is a collection of efficient neural network kernels developed to maximize the performance and minimize the memory footprint of neural networks on Cortex-M processor cores. Project https://github.com/ARM-software/CMSIS_5 The library is divided into a number of functions each covering a specific category: Convolution Functions Activation Functions Fully-connected Layer Functions SVDF Layer Functions Pooling Functions Softmax Functions Basic math Functions The library has separate functions for operating on different weight and activation data types including 8-bit integers (q7_t) and 16-bit integers (q15_t). The descrition of the kernels are included in the function description. More information https://www.keil.com/pack/doc/CMSIS/NN/html/index.html Project license : Apache 2.0 License https://github.com/ARM-software/CMSIS_5/blob/develop/LICENSE.txt Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
2022-01-26 17:34:58 +01:00
############################################################################
# apps/mlearning/cmsis/Makefile
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership. The
# ASF licenses this file to you 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 $(APPDIR)/Make.defs
cmsis.zip:
$(Q) curl -L https://github.com/ARM-software/CMSIS_5/archive/refs/tags/$(CONFIG_CMSIS_VER).zip -o cmsis.zip
$(Q) unzip -o cmsis.zip
$(Q) mv CMSIS_5-$(CONFIG_CMSIS_VER) CMSIS_5
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>
2022-02-18 09:50:04 +01:00
$(Q) patch -p0 < cmsis-nn-support_nnabla.patch
Add support for CMSIS NN the CMSIS NN software library is a collection of efficient neural network kernels developed to maximize the performance and minimize the memory footprint of neural networks on Cortex-M processor cores. Project https://github.com/ARM-software/CMSIS_5 The library is divided into a number of functions each covering a specific category: Convolution Functions Activation Functions Fully-connected Layer Functions SVDF Layer Functions Pooling Functions Softmax Functions Basic math Functions The library has separate functions for operating on different weight and activation data types including 8-bit integers (q7_t) and 16-bit integers (q15_t). The descrition of the kernels are included in the function description. More information https://www.keil.com/pack/doc/CMSIS/NN/html/index.html Project license : Apache 2.0 License https://github.com/ARM-software/CMSIS_5/blob/develop/LICENSE.txt Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
2022-01-26 17:34:58 +01:00
Don't download tarballs if a local git repo found Signed-off-by: Huang Qi <huangqi3@xiaomi.com>
2022-08-27 08:15:16 +02:00
# Download and unpack tarball if no git repo found
ifeq ($(wildcard CMSIS_5/.git),)
Add support for CMSIS NN the CMSIS NN software library is a collection of efficient neural network kernels developed to maximize the performance and minimize the memory footprint of neural networks on Cortex-M processor cores. Project https://github.com/ARM-software/CMSIS_5 The library is divided into a number of functions each covering a specific category: Convolution Functions Activation Functions Fully-connected Layer Functions SVDF Layer Functions Pooling Functions Softmax Functions Basic math Functions The library has separate functions for operating on different weight and activation data types including 8-bit integers (q7_t) and 16-bit integers (q15_t). The descrition of the kernels are included in the function description. More information https://www.keil.com/pack/doc/CMSIS/NN/html/index.html Project license : Apache 2.0 License https://github.com/ARM-software/CMSIS_5/blob/develop/LICENSE.txt Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
2022-01-26 17:34:58 +01:00
context:: cmsis.zip
distclean::
$(call DELDIR, CMSIS_5)
$(call DELFILE, cmsis.zip)
Don't download tarballs if a local git repo found Signed-off-by: Huang Qi <huangqi3@xiaomi.com>
2022-08-27 08:15:16 +02:00
endif
Add support for CMSIS NN the CMSIS NN software library is a collection of efficient neural network kernels developed to maximize the performance and minimize the memory footprint of neural networks on Cortex-M processor cores. Project https://github.com/ARM-software/CMSIS_5 The library is divided into a number of functions each covering a specific category: Convolution Functions Activation Functions Fully-connected Layer Functions SVDF Layer Functions Pooling Functions Softmax Functions Basic math Functions The library has separate functions for operating on different weight and activation data types including 8-bit integers (q7_t) and 16-bit integers (q15_t). The descrition of the kernels are included in the function description. More information https://www.keil.com/pack/doc/CMSIS/NN/html/index.html Project license : Apache 2.0 License https://github.com/ARM-software/CMSIS_5/blob/develop/LICENSE.txt Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
2022-01-26 17:34:58 +01:00
include $(APPDIR)/Application.mk
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