提交裸机版工程
This commit is contained in:
ldz
parent
0e839fdba3
commit
b0e72aa6df
1099 changed files with 607159 additions and 0 deletions
59
软件/mouse_paw3395/Drivers/CMSIS/NN/Include/arm_nn_tables.h
Normal file
59
软件/mouse_paw3395/Drivers/CMSIS/NN/Include/arm_nn_tables.h
Normal file
|
|
@ -0,0 +1,59 @@
|
|||
/* ----------------------------------------------------------------------
|
||||
* Project: CMSIS NN Library
|
||||
* Title: arm_nn_tables.h
|
||||
* Description: Extern declaration for NN tables
|
||||
*
|
||||
* $Date: 17. January 2018
|
||||
* $Revision: V.1.0.0
|
||||
*
|
||||
* Target Processor: Cortex-M cores
|
||||
* -------------------------------------------------------------------- */
|
||||
/*
|
||||
* 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.
|
||||
*/
|
||||
|
||||
#ifndef _ARM_NN_TABLES_H
|
||||
#define _ARM_NN_TABLES_H
|
||||
|
||||
#include "arm_math.h"
|
||||
|
||||
/**
|
||||
* @brief tables for various activation functions
|
||||
*
|
||||
*/
|
||||
|
||||
extern const q15_t sigmoidTable_q15[256];
|
||||
extern const q7_t sigmoidTable_q7[256];
|
||||
|
||||
extern const q7_t tanhTable_q7[256];
|
||||
extern const q15_t tanhTable_q15[256];
|
||||
|
||||
/**
|
||||
* @brief 2-way tables for various activation functions
|
||||
*
|
||||
* 2-way table, H table for value larger than 1/4
|
||||
* L table for value smaller than 1/4, H table for remaining
|
||||
* We have this only for the q15_t version. It does not make
|
||||
* sense to have it for q7_t type
|
||||
*/
|
||||
extern const q15_t sigmoidHTable_q15[192];
|
||||
extern const q15_t sigmoidLTable_q15[128];
|
||||
|
||||
extern const q15_t sigmoidLTable_q15[128];
|
||||
extern const q15_t sigmoidHTable_q15[192];
|
||||
|
||||
#endif /* ARM_NN_TABLES_H */
|
||||
1010
软件/mouse_paw3395/Drivers/CMSIS/NN/Include/arm_nnfunctions.h
Normal file
1010
软件/mouse_paw3395/Drivers/CMSIS/NN/Include/arm_nnfunctions.h
Normal file
File diff suppressed because it is too large
Load diff
|
|
@ -0,0 +1,202 @@
|
|||
/*
|
||||
* 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
|
||||
Loading…
Add table
Add a link
Reference in a new issue