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diff --git a/hid-dials/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_q15.c b/hid-dials/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_q15.c
deleted file mode 100644
index a4c6bba..0000000
--- a/hid-dials/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_q15.c
+++ /dev/null
@@ -1,193 +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_fully_connected_q15.c

- * Description:  Q15 basic fully-connected layer function

- *

- * $Date:        17. January 2018

- * $Revision:    V.1.0.0

- *

- * Target Processor:  Cortex-M cores

- *

- * -------------------------------------------------------------------- */

-

-#include "arm_math.h"

-#include "arm_nnfunctions.h"

-

-/**

- *  @ingroup groupNN

- */

-

-/**

- * @addtogroup FC

- * @{

- */

-

-  /**

-   * @brief Q15 opt fully-connected layer function

-   * @param[in]       pV          pointer to input vector

-   * @param[in]       pM          pointer to matrix weights

-   * @param[in]       dim_vec     length of the vector

-   * @param[in]       num_of_rows number of rows in weight matrix

-   * @param[in]       bias_shift  amount of left-shift for bias

-   * @param[in]       out_shift   amount of right-shift for output

-   * @param[in]       bias        pointer to bias

-   * @param[in,out]   pOut        pointer to output vector

-   * @param[in,out]   vec_buffer  pointer to buffer space for input

-   * @return     The function returns <code>ARM_MATH_SUCCESS</code>

-   *

-   *

-   * @details

-   *

-   * <b>Buffer size:</b>

-   *

-   * vec_buffer size: 0

-   *

-   */

-

-arm_status

-arm_fully_connected_q15(const q15_t * pV,

-                        const q15_t * pM,

-                        const uint16_t dim_vec,

-                        const uint16_t num_of_rows,

-                        const uint16_t bias_shift,

-                        const uint16_t out_shift, 

-                        const q15_t * bias, 

-                        q15_t * pOut,

-                        q15_t * vec_buffer)

-{

-

-#if defined (ARM_MATH_DSP)

-    /* Run the following code for Cortex-M4 and Cortex-M7 */

-

-    const q15_t *pB = pM;

-    const q15_t *pB2 = pB + dim_vec;

-    q15_t    *pO = pOut;

-    const q15_t    *pA;

-    const q15_t    *pBias = bias;

-    uint16_t rowCnt = num_of_rows >> 1;

-

-    /* this loop loops over different output */

-    while (rowCnt) {

-        q31_t     sum =  ((q31_t)(*pBias++) << bias_shift) + NN_ROUND(out_shift);

-        q31_t     sum2 = ((q31_t)(*pBias++) << bias_shift) + NN_ROUND(out_shift);

-

-        uint16_t  colCnt = dim_vec >> 2;

-

-        pA = pV;

-        pB2 = pB + dim_vec;

-

-        while (colCnt)

-        {

-            q31_t     inV1, inM1, inM2;

-            inV1 = *__SIMD32(pA)++;

-            inM1 = *__SIMD32(pB)++;

-            sum = __SMLAD(inV1, inM1, sum);

-            inM2 = *__SIMD32(pB2)++;

-            sum2 = __SMLAD(inV1, inM2, sum2);

-

-            inV1 = *__SIMD32(pA)++;

-            inM1 = *__SIMD32(pB)++;

-            sum = __SMLAD(inV1, inM1, sum);

-            inM2 = *__SIMD32(pB2)++;

-            sum2 = __SMLAD(inV1, inM2, sum2);

-

-            colCnt--;

-        }

-        colCnt = dim_vec & 0x3;

-        while (colCnt)

-        {

-            q15_t     inV = *pA++;

-            q15_t     inM = *pB++;

-            q15_t     inM2 = *pB2++;

-

-            sum += inV * inM;

-            sum2 += inV * inM2;

-            colCnt--;

-        }                       /* while over colCnt */

-        *pO++ =  (q15_t) (__SSAT((sum >> out_shift), 16));

-        *pO++ = (q15_t) (__SSAT((sum2>> out_shift), 16));

-		

-        /* adjust the pointers and counters */

-        pB = pB + dim_vec;

-        rowCnt --;

-    }

-

-    rowCnt = num_of_rows & 0x1;

-

-    while (rowCnt) {

-        q31_t     sum = ((q31_t)(*pBias++) << bias_shift) + NN_ROUND(out_shift);

-

-        uint16_t  colCnt = dim_vec >> 2;

-

-        pA = pV;

-      

-        while (colCnt) {

-            q31_t     inV1, inM1;

-            inV1 = *__SIMD32(pA)++;

-            inM1 = *__SIMD32(pB)++;

-            sum = __SMLAD(inV1, inM1, sum);

-            

-            inV1 = *__SIMD32(pA)++;

-            inM1 = *__SIMD32(pB)++;

-            sum = __SMLAD(inV1, inM1, sum);

-				

-            colCnt--;

-	}

-			

-	/* left-over of the vector */

-	colCnt = dim_vec & 0x3;

-	while(colCnt) {

-            q15_t     inV = *pA++;

-            q15_t     inM = *pB++;

-

-            sum += inV * inM;

-

-            colCnt--;

-	}

-

-        *pO++ =  (q15_t) (__SSAT((sum >> out_shift), 16));

-			

-        rowCnt --;

-    }

-

-#else

-    int       i, j;

-    /* Run the following code as reference implementation for Cortex-M0 and Cortex-M3 */

-    for (i = 0; i < num_of_rows; i++)

-    {

-        int       ip_out = ((q31_t)(bias[i]) << bias_shift) + NN_ROUND(out_shift);

-        for (j = 0; j < dim_vec; j++)

-        {

-            ip_out += pV[j] * pM[i * dim_vec + j];

-        }

-        pOut[i] = (q15_t) __SSAT((ip_out >> out_shift), 16);

-    }

-

-#endif                          /* ARM_MATH_DSP */

-

-    /* Return to application */

-    return (ARM_MATH_SUCCESS);

-

-}

-

-/**

- * @} end of FC group

- */