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Drivers/CMSIS/NN/Source/FullyConnectedFunctions/arm_fully_connected_s8.c

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+/*
+ * Copyright (C) 2010-2022 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_fully_connected_s8
+ * Description:  Fully connected function compatible with TF Lite.
+ *
+ * $Date:        8 April 2022
+ * $Revision:    V.3.1.0
+ *
+ * Target Processor:  Cortex-M and Cortex-A cores
+ *
+ * -------------------------------------------------------------------- */
+
+#include "arm_nnfunctions.h"
+#include "arm_nnsupportfunctions.h"
+
+/**
+ *  @ingroup groupNN
+ */
+
+/**
+ * @addtogroup FC
+ * @{
+ */
+
+/*
+ * S8 basic fully-connected and matrix multiplication layer function for TensorFlow Lite
+ *
+ * Refer header file for details.
+ *
+ */
+
+arm_status arm_fully_connected_s8(const cmsis_nn_context *ctx,
+                                  const cmsis_nn_fc_params *fc_params,
+                                  const cmsis_nn_per_tensor_quant_params *quant_params,
+                                  const cmsis_nn_dims *input_dims,
+                                  const q7_t *input,
+                                  const cmsis_nn_dims *filter_dims,
+                                  const q7_t *kernel,
+                                  const cmsis_nn_dims *bias_dims,
+                                  const int32_t *bias,
+                                  const cmsis_nn_dims *output_dims,
+                                  q7_t *output)
+{
+    (void)bias_dims;
+    (void)ctx;
+    (void)fc_params->filter_offset;
+
+    int32_t batch_cnt = input_dims->n;
+
+    while (batch_cnt)
+    {
+        arm_nn_vec_mat_mult_t_s8(input,
+                                 kernel,
+                                 bias,
+                                 output,
+                                 fc_params->input_offset,
+                                 0,
+                                 fc_params->output_offset,
+                                 quant_params->multiplier,
+                                 quant_params->shift,
+                                 filter_dims->n, /* col_dim or accum_depth */
+                                 output_dims->c, /* row_dim or output_depth */
+                                 fc_params->activation.min,
+                                 fc_params->activation.max,
+                                 1L);
+        input += filter_dims->n;
+        output += output_dims->c;
+        batch_cnt--;
+    }
+    return (ARM_MATH_SUCCESS);
+}
+
+int32_t arm_fully_connected_s8_get_buffer_size(const cmsis_nn_dims *filter_dims)
+{
+    (void)filter_dims;
+    return 0;
+}
+
+/**
+ * @} end of FC group
+ */