nuttx-apps/mlearning/libnnablart/Kconfig

#
# For a description of the syntax of this configuration file,
# see the file kconfig-language.txt in the NuttX tools repository.
#

config NNABLA_RT
	bool "NNABLA Runtime Libraries"
	default n
	---help---
		This is a runtime library for inference Neural Networks
		created by Neural Network Libraries.
		https://github.com/sony/nnabla-c-runtime

if NNABLA_RT

config NNABLA_RT_VER
	string "Default NNABLA Runtime version"
	default "1.24.0"

endif # NNABLA_RT
Add support for NNabla C Runtime This is a runtime library for inference Neural Network created by Neural Network Libraries. Project git: https://github.com/sony/nnabla-c-runtime It is almost independent from external libraries(depends on C standard math library) and is written in Pure C (C99). It has been developed with priority over readability rather than performance, making it ideal for learning and porting. It adopts an extensible architecture, and you can use the function you implemented yourself as necessary for applications that need performance. Project license : Apache 2.0 License https://github.com/sony/nnabla-c-runtime/blob/master/LICENSE Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com> 2022-01-26 07:54:12 +00:00			`#`
			`# For a description of the syntax of this configuration file,`
			`# see the file kconfig-language.txt in the NuttX tools repository.`
			`#`

			`config NNABLA_RT`
			`bool "NNABLA Runtime Libraries"`
			`default n`
			`---help---`
			`This is a runtime library for inference Neural Networks`
			`created by Neural Network Libraries.`
			`https://github.com/sony/nnabla-c-runtime`

			`if NNABLA_RT`

			`config NNABLA_RT_VER`
			`string "Default NNABLA Runtime version"`
build/Kconfig: fix warnings detected by kconfiglib Signed-off-by: chao an <anchao@xiaomi.com> 2023-02-09 16:17:46 +08:00			`default "1.24.0"`
Add support for NNabla C Runtime This is a runtime library for inference Neural Network created by Neural Network Libraries. Project git: https://github.com/sony/nnabla-c-runtime It is almost independent from external libraries(depends on C standard math library) and is written in Pure C (C99). It has been developed with priority over readability rather than performance, making it ideal for learning and porting. It adopts an extensible architecture, and you can use the function you implemented yourself as necessary for applications that need performance. Project license : Apache 2.0 License https://github.com/sony/nnabla-c-runtime/blob/master/LICENSE Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com> 2022-01-26 07:54:12 +00:00
			`endif # NNABLA_RT`