5dc7694b17
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>
52 lines
1.1 KiB
Plaintext
52 lines
1.1 KiB
Plaintext
#
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# For a description of the syntax of this configuration file,
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# see the file kconfig-language.txt in the NuttX tools repository.
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#
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config CMSIS
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bool "CMSIS Libraries"
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default n
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---help---
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Enable CMSIS Libraries.
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The Cortex Microcontroller Software Interface Standard (CMSIS) is provided
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from https://github.com/ARM-software/CMSIS_5 and licensed under Apache-2.0.
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For details, see http://arm-software.github.io/CMSIS_5/General/html/index.html.
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if CMSIS
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config CMSIS_VER
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string "Default CMSIS version"
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default 5.8.0
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config CMSIS_DSP
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bool "CMSIS DSP"
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default y
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---help---
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Enable CMSIS-DSP: Fast implementation of digital signal processing.
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if CMSIS_DSP
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config CMSIS_DSP_ARM_MATH_MATRIX_CHECK
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bool "CMSIS DSP MATH MATRIX CHECK"
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default n
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---help---
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Enable checking on the input and output sizes of matrices
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config CMSIS_DSP_ARM_MATH_ROUNDING
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bool "CMSIS DSP MATH ROUNDING"
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default n
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---help---
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Enable rounding on support functions
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endif # CMSIS_DSP
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config CMSIS_NN
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bool "CMSIS NN"
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default y
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depends on CMSIS_DSP
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---help---
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Enable CMSIS-NN: Efficient neural network kernels.
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endif # CMSIS
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