diff options
Diffstat (limited to 'Blink/Drivers/CMSIS/NN/Include/arm_nnsupportfunctions.h')
| -rw-r--r-- | Blink/Drivers/CMSIS/NN/Include/arm_nnsupportfunctions.h | 202 |
1 files changed, 0 insertions, 202 deletions
diff --git a/Blink/Drivers/CMSIS/NN/Include/arm_nnsupportfunctions.h b/Blink/Drivers/CMSIS/NN/Include/arm_nnsupportfunctions.h deleted file mode 100644 index 05a239d..0000000 --- a/Blink/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 <cstring>
-
-#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.
- *
- * <b>Scaling and Overflow Behavior:</b>
- * \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.
- *
- * <b>Scaling and Overflow Behavior:</b>
- * \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
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