Submodule-cache WIP

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diff --git a/fw/midi-dials/Drivers/CMSIS/NN/Include/arm_nnsupportfunctions.h b/fw/midi-dials/Drivers/CMSIS/NN/Include/arm_nnsupportfunctions.h
deleted file mode 100644
index 05a239d..0000000
--- a/fw/midi-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 <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