diff options
Diffstat (limited to 'fw/hid-dials/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_mat_q7_vec_q15.c')
| -rw-r--r-- | fw/hid-dials/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_mat_q7_vec_q15.c | 199 |
1 files changed, 0 insertions, 199 deletions
diff --git a/fw/hid-dials/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_mat_q7_vec_q15.c b/fw/hid-dials/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_mat_q7_vec_q15.c deleted file mode 100644 index bb9a091..0000000 --- a/fw/hid-dials/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_mat_q7_vec_q15.c +++ /dev/null @@ -1,199 +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_mat_q7_vec_q15.c
- * Description: Mixed Q15-Q7 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 Mixed Q15-Q7 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
- *
- * Q7_Q15 version of the fully connected layer
- *
- * Weights are in q7_t and Activations are in q15_t
- *
- */
-
-arm_status
-arm_fully_connected_mat_q7_vec_q15(const q15_t * pV,
- const q7_t * pM,
- const uint16_t dim_vec,
- const uint16_t num_of_rows,
- const uint16_t bias_shift,
- const uint16_t out_shift,
- const q7_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 q7_t *pB = pM;
- const q7_t *pB2;
- q15_t *pO = pOut;
- const q7_t *pBias = bias;
- const q15_t *pA = pV;
-
- uint16_t rowCnt = num_of_rows >> 1;
-
- 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 inV, inM11, inM12, inM21, inM22;
- pB = (q7_t *) read_and_pad((void *)pB, &inM11, &inM12);
- pB2 = (q7_t *) read_and_pad((void *)pB2, &inM21, &inM22);
-
- inV = *__SIMD32(pA)++;
-
- sum = __SMLAD(inV, inM11, sum);
- sum2 = __SMLAD(inV, inM21, sum2);
-
- inV = *__SIMD32(pA)++;
-
- sum = __SMLAD(inV, inM12, sum);
- sum2 = __SMLAD(inV, inM22, sum2);
-
- colCnt--;
- }
- colCnt = dim_vec & 0x3;
- while (colCnt)
- {
- q15_t inV = *pA++;
- q7_t inM = *pB++;
- q7_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 += dim_vec;
- rowCnt--;
- }
-
- /* left-over part of the rows */
- 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, inV2, inM11, inM12;
-
- pB = (q7_t *) read_and_pad((void *)pB, &inM11, &inM12);
-
- inV1 = *__SIMD32(pA)++;
- sum = __SMLAD(inV1, inM11, sum);
-
- inV2 = *__SIMD32(pA)++;
- sum = __SMLAD(inV2, inM12, sum);
-
- colCnt--;
- }
-
- /* left-over of the vector */
- colCnt = dim_vec & 0x3;
- while (colCnt)
- {
- q15_t inV = *pA++;
- q7_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 ARM_MATH_SUCCESS */
- return (ARM_MATH_SUCCESS);
-
-}
-
-/**
- * @} end of FC group
- */
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