/* * Copyright (C) 2016-2019 C-SKY Limited. 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. */ /* ---------------------------------------------------------------------- * Title: csky_vdsp2_nnsupportfunctions.h * Description: Public header file of support functions for CSI NN Library * * -------------------------------------------------------------------- */ #ifndef _CSKY_DSP2_NNSUPPORTFUNCTIONS_H_ #define _CSKY_DSP2_NNSUPPORTFUNCTIONS_H_ #include "csky_math.h" #ifdef __cplusplus extern "C" { #endif /** * @brief Union for SIMD access of Q31/Q15/Q7 types */ union csky_vdsp2_nnword { q31_t word; /**< Q31 type */ q15_t half_words[2]; /**< Q15 type */ q7_t bytes[4]; /**< Q7 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 csky_vdsp2_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 csky_vdsp2_q7_to_q15_reordered_no_shift(const q7_t * pSrc, q15_t * pDst, uint32_t blockSize); #if defined (CSKY_VDSP2_MATH_DSP) /** * @brief read and expand one Q7 word into two Q15 words */ __ALWAYS_STATIC_INLINE 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 CSKY_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 */ __ALWAYS_STATIC_INLINE void *read_and_pad_reordered(void *source, q31_t * out1, q31_t * out2) { q31_t inA = *__SIMD32(source)++; #ifndef CSKY_MATH_BIG_ENDIAN *out2 = __SXTB16(__ROR(inA, 8)); *out1 = __SXTB16(inA); #else *out1 = __SXTB16(__ROR(inA, 8)); *out2 = __SXTB16(inA); #endif return source; } #endif q7_t *csky_vdsp2_nn_mat_mult_kernel_q7_q15_reordered(const q7_t * pA, const q15_t * pInBuffer, const uint16_t ch_im_out, const uint16_t numCol_A, const uint16_t bias_shift, const uint16_t out_shift, const q7_t * bias, q7_t * pOut); q7_t *csky_vdsp2_nn_mat_mult_kernel_q7_q15(const q7_t * pA, const q15_t * pInBuffer, const uint16_t ch_im_out, const uint16_t numCol_A, const uint16_t bias_shift, const uint16_t out_shift, const q7_t * bias, q7_t * pOut); /** * @brief A few utility functions used by pooling functions * */ void buffer_scale_back_q15_to_q7(q15_t * buffer, q7_t * target, uint16_t length, uint16_t scale); void accumulate_q7_to_q15(q15_t * base, q7_t * target, const uint16_t length); /** * @brief defition to adding rouding offset */ #ifndef CSKY_NN_TRUNCATE #define NN_ROUND(out_shift) ( 0x1 << (out_shift - 1) ) #else #define NN_ROUND(out_shift) 0 #endif #ifdef __cplusplus } #endif #endif