From d8b6d18d2fefee381eb6a26334a13e94126b6d8e Mon Sep 17 00:00:00 2001 From: jaseg Date: Mon, 21 Dec 2020 16:22:11 +0100 Subject: Remove obsolete template code from fw --- .../CMSIS/NN/Include/arm_nnsupportfunctions.h | 202 --------------------- 1 file changed, 202 deletions(-) delete mode 100644 fw/hid-dials/Drivers/CMSIS/NN/Include/arm_nnsupportfunctions.h (limited to 'fw/hid-dials/Drivers/CMSIS/NN/Include/arm_nnsupportfunctions.h') diff --git a/fw/hid-dials/Drivers/CMSIS/NN/Include/arm_nnsupportfunctions.h b/fw/hid-dials/Drivers/CMSIS/NN/Include/arm_nnsupportfunctions.h deleted file mode 100644 index 05a239d..0000000 --- a/fw/hid-dials/Drivers/CMSIS/NN/Include/arm_nnsupportfunctions.h +++ /dev/null @@ -1,202 +0,0 @@ -/* - * Copyright (C) 2010-2018 Arm Limited or its affiliates. All rights reserved. - * - * SPDX-License-Identifier: Apache-2.0 - * - * Licensed 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 - * - * 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. - */ - -/* ---------------------------------------------------------------------- - * Project: CMSIS NN Library - * Title: arm_nnsupportfunctions.h - * Description: Public header file of support functions for CMSIS NN Library - * - * $Date: 13. July 2018 - * $Revision: V.1.0.0 - * - * Target Processor: Cortex-M cores - * -------------------------------------------------------------------- */ - -#ifndef _ARM_NNSUPPORTFUNCTIONS_H_ -#define _ARM_NNSUPPORTFUNCTIONS_H_ - -#include "arm_math.h" -#include "arm_common_tables.h" -//#include - -#ifdef __cplusplus -extern "C" -{ -#endif - -/** - * @brief Union for SIMD access of Q31/Q15/Q7 types - */ -union arm_nnword -{ - q31_t word; - /**< Q31 type */ - q15_t half_words[2]; - /**< Q15 type */ - q7_t bytes[4]; - /**< Q7 type */ -}; - -/** - * @brief Struct for specifying activation function types - * - */ -typedef enum -{ - ARM_SIGMOID = 0, - /**< Sigmoid activation function */ - ARM_TANH = 1, - /**< Tanh activation function */ -} arm_nn_activation_type; - -/** - * @defgroup nndata_convert Neural Network Data Conversion Functions - * - * Perform data type conversion in-between neural network operations - * - */ - -/** - * @brief Converts the elements of the Q7 vector to Q15 vector without left-shift - * @param[in] *pSrc points to the Q7 input vector - * @param[out] *pDst points to the Q15 output vector - * @param[in] blockSize length of the input vector - * @return none. - * - */ - -void arm_q7_to_q15_no_shift(const q7_t * pSrc, q15_t * pDst, uint32_t blockSize); - -/** - * @brief Converts the elements of the Q7 vector to reordered Q15 vector without left-shift - * @param[in] *pSrc points to the Q7 input vector - * @param[out] *pDst points to the Q15 output vector - * @param[in] blockSize length of the input vector - * @return none. - * - */ - -void arm_q7_to_q15_reordered_no_shift(const q7_t * pSrc, q15_t * pDst, uint32_t blockSize); - -#if defined (ARM_MATH_DSP) - -/** - * @brief read and expand one Q7 word into two Q15 words - */ - -__STATIC_FORCEINLINE void *read_and_pad(void *source, q31_t * out1, q31_t * out2) -{ - q31_t inA = *__SIMD32(source)++; - q31_t inAbuf1 = __SXTB16(__ROR(inA, 8)); - q31_t inAbuf2 = __SXTB16(inA); - -#ifndef ARM_MATH_BIG_ENDIAN - *out2 = __PKHTB(inAbuf1, inAbuf2, 16); - *out1 = __PKHBT(inAbuf2, inAbuf1, 16); -#else - *out1 = __PKHTB(inAbuf1, inAbuf2, 16); - *out2 = __PKHBT(inAbuf2, inAbuf1, 16); -#endif - - return source; -} - -/** - * @brief read and expand one Q7 word into two Q15 words with reordering - */ - -__STATIC_FORCEINLINE void *read_and_pad_reordered(void *source, q31_t * out1, q31_t * out2) -{ - q31_t inA = *__SIMD32(source)++; -#ifndef ARM_MATH_BIG_ENDIAN - *out2 = __SXTB16(__ROR(inA, 8)); - *out1 = __SXTB16(inA); -#else - *out1 = __SXTB16(__ROR(inA, 8)); - *out2 = __SXTB16(inA); -#endif - - return source; -} -#endif - -/** - * @defgroup NNBasicMath Basic Math Functions for Neural Network Computation - * - * Basic Math Functions for Neural Network Computation - * - */ - -/** - * @brief Q7 vector multiplication with variable output shifts - * @param[in] *pSrcA pointer to the first input vector - * @param[in] *pSrcB pointer to the second input vector - * @param[out] *pDst pointer to the output vector - * @param[in] out_shift amount of right-shift for output - * @param[in] blockSize number of samples in each vector - * @return none. - * - * Scaling and Overflow Behavior: - * \par - * The function uses saturating arithmetic. - * Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated. - */ - -void arm_nn_mult_q15( - q15_t * pSrcA, - q15_t * pSrcB, - q15_t * pDst, - const uint16_t out_shift, - uint32_t blockSize); - -/** - * @brief Q7 vector multiplication with variable output shifts - * @param[in] *pSrcA pointer to the first input vector - * @param[in] *pSrcB pointer to the second input vector - * @param[out] *pDst pointer to the output vector - * @param[in] out_shift amount of right-shift for output - * @param[in] blockSize number of samples in each vector - * @return none. - * - * Scaling and Overflow Behavior: - * \par - * The function uses saturating arithmetic. - * Results outside of the allowable Q7 range [0x80 0x7F] will be saturated. - */ - -void arm_nn_mult_q7( - q7_t * pSrcA, - q7_t * pSrcB, - q7_t * pDst, - const uint16_t out_shift, - uint32_t blockSize); - -/** - * @brief defition to adding rouding offset - */ -#ifndef ARM_NN_TRUNCATE - #define NN_ROUND(out_shift) ( 0x1 << (out_shift - 1) ) -#else - #define NN_ROUND(out_shift) 0 -#endif - -#ifdef __cplusplus -} -#endif - -#endif -- cgit