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| author | joshua <joshua@joshuayun.com> | 2023-12-30 23:54:31 -0500 |
|---|---|---|
| committer | joshua <joshua@joshuayun.com> | 2023-12-30 23:54:31 -0500 |
| commit | 86608c6770cf08c138a2bdab5855072f64be09ef (patch) | |
| tree | 494a61b3ef37e76f9235a0d10f5c93d97290a35f /Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_q7.c | |
| download | sdr-software-master.tar.gz | |
Diffstat (limited to 'Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_q7.c')
| -rw-r--r-- | Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_q7.c | 198 |
1 files changed, 198 insertions, 0 deletions
diff --git a/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_q7.c b/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_q7.c new file mode 100644 index 0000000..75e924f --- /dev/null +++ b/Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_q7.c @@ -0,0 +1,198 @@ +/*
+ * 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_q7.c
+ * Description: Q7 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 Q7 basic 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: dim_vec
+ *
+ * This basic function is designed to work with regular weight
+ * matrix without interleaving.
+ *
+ */
+
+arm_status
+arm_fully_connected_q7(const q7_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, q7_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;
+ q7_t *pO = pOut;
+ const q7_t *pBias = bias;
+ q15_t *pA;
+ uint16_t rowCnt = num_of_rows >> 1;
+
+ /* expand the vector into the buffer */
+ arm_q7_to_q15_reordered_no_shift(pV, vec_buffer, dim_vec);
+
+ 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 = vec_buffer;
+ pB2 = pB + dim_vec;
+
+ while (colCnt)
+ {
+ q31_t inV, inM11, inM12, inM21, inM22;
+ pB = (q7_t *) read_and_pad_reordered((void *)pB, &inM11, &inM12);
+ pB2 = (q7_t *) read_and_pad_reordered((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)
+ {
+ q7_t inV = *pA++;
+ q15_t inM = *pB++;
+ q15_t inM2 = *pB2++;
+
+ sum += inV * inM;
+ sum2 += inV * inM2;
+ colCnt--;
+ } /* while over colCnt */
+ *pO++ = (q7_t) (__SSAT((sum >> out_shift), 8));
+ *pO++ = (q7_t) (__SSAT((sum2 >> out_shift), 8));
+
+ /* adjust the pointers and counters */
+ pB += dim_vec;
+ rowCnt--;
+ }
+
+ /* left-over part of the rows */
+ rowCnt = num_of_rows & 0x1;
+
+ while (rowCnt)
+ {
+ uint16_t colCnt = dim_vec >> 2;
+ q31_t sum = ((q31_t)(*pBias++) << bias_shift) + NN_ROUND(out_shift);
+
+ pA = vec_buffer;
+
+ while (colCnt)
+ {
+ q31_t inV1, inV2, inM11, inM12;
+
+ pB = (q7_t *) read_and_pad_reordered((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)
+ {
+ q7_t inV = *pA++;
+ q15_t inM = *pB++;
+ sum += inV * inM;
+ colCnt--;
+ }
+
+ *pO++ = (q7_t) (__SSAT((sum >> out_shift), 8));
+
+ 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] = (q7_t) __SSAT((ip_out >> out_shift), 8);
+ }
+
+#endif /* ARM_MATH_DSP */
+
+ /* Return to ARM_MATH_SUCCESS */
+ return (ARM_MATH_SUCCESS);
+
+}
+
+/**
+ * @} end of FC group
+ */
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