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Drivers/CMSIS/NN/Source/BasicMathFunctions/arm_elementwise_add_s16.c

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+/*
+ * Copyright (C) 2022 Arm Limited or its affiliates.
+ *
+ * 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_elementwise_add_s16
+ * Description:  Elementwise add
+ *
+ * $Date:        14 Februari 2022
+ * $Revision:    V.1.0.0
+ *
+ * Target Processor:  Cortex-M CPUs
+ *
+ * -------------------------------------------------------------------- */
+
+#include "arm_nnfunctions.h"
+#include "arm_nnsupportfunctions.h"
+
+/**
+ *  @ingroup groupNN
+ */
+
+/**
+ * @addtogroup BasicMath
+ * @{
+ */
+
+/*
+ * s16 elementwise add
+ *
+ * Refer header file for details.
+ *
+ */
+
+/* Note: __SHIFT is expected to be <=0 */
+
+arm_status arm_elementwise_add_s16(const int16_t *input_1_vect,
+                                   const int16_t *input_2_vect,
+                                   const int32_t input_1_offset,
+                                   const int32_t input_1_mult,
+                                   const int32_t input_1_shift,
+                                   const int32_t input_2_offset,
+                                   const int32_t input_2_mult,
+                                   const int32_t input_2_shift,
+                                   const int32_t left_shift,
+                                   int16_t *output,
+                                   const int32_t out_offset,
+                                   const int32_t out_mult,
+                                   const int32_t out_shift,
+                                   const int32_t out_activation_min,
+                                   const int32_t out_activation_max,
+                                   const int32_t block_size)
+{
+    (void)input_1_offset;
+    (void)input_2_offset;
+    (void)out_offset;
+    int32_t loop_count;
+    int32_t input_1;
+    int32_t input_2;
+    int32_t sum;
+
+    loop_count = block_size;
+
+    while (loop_count > 0)
+    {
+        /* C = A + B */
+        input_1 = *input_1_vect++ << left_shift;
+        input_2 = *input_2_vect++ << left_shift;
+
+        input_1 = arm_nn_requantize(input_1, input_1_mult, input_1_shift);
+        input_2 = arm_nn_requantize(input_2, input_2_mult, input_2_shift);
+
+        sum = input_1 + input_2;
+        sum = arm_nn_requantize(sum, out_mult, out_shift);
+
+        sum = MAX(sum, out_activation_min);
+        sum = MIN(sum, out_activation_max);
+
+        *output++ = (int16_t)sum;
+
+        /* Decrement loop counter */
+        loop_count--;
+    }
+
+    return (ARM_MATH_SUCCESS);
+}
+
+/**
+ * @} end of BasicMath group
+ */