Add documentation for Dense Layer
Signed-off-by: Shubhanshu Saxena <shubhanshu....@gmail.com>
---
.../dnn/dnn_backend_native_layer_dense.h | 26 +++++++++++++++++++
1 file changed, 26 insertions(+)
diff --git a/libavfilter/dnn/dnn_backend_native_layer_dense.h
b/libavfilter/dnn/dnn_backend_native_layer_dense.h
index 86248856ae..fc971cece2 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_dense.h
+++ b/libavfilter/dnn/dnn_backend_native_layer_dense.h
@@ -31,7 +31,33 @@ typedef struct DenseParams{
float *biases;
} DenseParams;
+/**
+ * @brief Load the Densely-Connnected Layer.
+ *
+ * It assigns the layer parameters to the hyperparameters
+ * like activation, bias, and kernel size after parsing
+ * from the model file context.
+ *
+ * @param layer pointer to the DNN layer instance
+ * @param model_file_context pointer to model file context
+ * @param file_size model file size
+ * @param operands_num number of operands for the layer
+ * @return Size of DNN Layer
+ * @retval 0 if model file context contains invalid hyperparameters.
+ */
int ff_dnn_load_layer_dense(Layer *layer, AVIOContext *model_file_context, int
file_size, int operands_num);
+
+/**
+ * @brief Execute the Densely-Connnected Layer.
+ *
+ * @param operands input operands
+ * @param input_operand_indexes input operand indexes
+ * @param output_operand_index output operand index
+ * @param parameters layer parameters
+ * @param ctx pointer to Native model context
+ * @retval DNN_SUCCESS if the execution succeeds
+ * @retval DNN_ERROR if the execution fails
+ */
int ff_dnn_execute_layer_dense(DnnOperand *operands, const int32_t
*input_operand_indexes,
int32_t output_operand_index, const void
*parameters, NativeContext *ctx);
#endif
--
2.27.0
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