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authorShubhanshu Saxena <shubhanshu.e01@gmail.com>2021-05-14 12:41:08 +0530
committerGuo, Yejun <yejun.guo@intel.com>2021-05-17 09:33:40 +0800
commit11b489d592553da3d5e61a83482ee188005b0da9 (patch)
treedc0dcc4704152354b77c5194185ca08ff5e4f5ce /libavfilter
parent57fe5c14124fe8b557640ff8d57f2655dae30c29 (diff)
downloadffmpeg-11b489d592553da3d5e61a83482ee188005b0da9.tar.gz
lavfi/dnn_backend_native_layer_mathunary.h: Documentation
Add documentation for Unary Math Layer Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com>
Diffstat (limited to 'libavfilter')
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_mathunary.h30
1 files changed, 30 insertions, 0 deletions
diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathunary.h b/libavfilter/dnn/dnn_backend_native_layer_mathunary.h
index 151a73200a..ed79947896 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_mathunary.h
+++ b/libavfilter/dnn/dnn_backend_native_layer_mathunary.h
@@ -54,7 +54,37 @@ typedef struct DnnLayerMathUnaryParams{
DNNMathUnaryOperation un_op;
} DnnLayerMathUnaryParams;
+/**
+ * @brief Load the Unary Math Layer.
+ *
+ * It assigns the unary math layer with DnnLayerMathUnaryParams
+ * 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 to check if data is read
+ * correctly from the model file
+ * @param operands_num operand count of the whole model to
+ * check if data is read correctly from the model file
+ * @return number of bytes read from the model file
+ * @retval 0 if out of memory or an error occurs
+ */
int ff_dnn_load_layer_math_unary(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num);
+
+/**
+ * @brief Execute the Unary Math Layer.
+ *
+ * It applies the unary operator parsed while
+ * loading to the given input operands.
+ *
+ * @param operands all operands for the model
+ * @param input_operand_indexes input operand indexes for this layer
+ * @param output_operand_index output operand index for this layer
+ * @param parameters unary math layer parameters
+ * @param ctx pointer to Native model context for logging
+ * @retval 0 if the execution succeeds
+ * @retval DNN_ERROR if the execution fails
+ */
int ff_dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_operand_indexes,
int32_t output_operand_index, const void *parameters, NativeContext *ctx);