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authorShubhanshu Saxena <shubhanshu.e01@gmail.com>2021-05-14 12:41:04 +0530
committerGuo, Yejun <yejun.guo@intel.com>2021-05-17 09:33:40 +0800
commit58de2b9eb339d8d077b685ace8dd0fed51ca2165 (patch)
treec5c4594f28a74178c7831b28abf670e08278d9d1 /libavfilter/dnn
parenta61b7654a223d9e232c4a7a699f02cc045e79d19 (diff)
downloadffmpeg-58de2b9eb339d8d077b685ace8dd0fed51ca2165.tar.gz
lavfi/dnn_backend_native_layer_dense.h: Documentation
Add documentation for Dense Layer Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com>
Diffstat (limited to 'libavfilter/dnn')
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_dense.h27
1 files changed, 27 insertions, 0 deletions
diff --git a/libavfilter/dnn/dnn_backend_native_layer_dense.h b/libavfilter/dnn/dnn_backend_native_layer_dense.h
index 86248856ae..0488b03cc3 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_dense.h
+++ b/libavfilter/dnn/dnn_backend_native_layer_dense.h
@@ -31,7 +31,34 @@ typedef struct DenseParams{
float *biases;
} DenseParams;
+/**
+ * @brief Load the Densely-Connected Layer.
+ *
+ * It assigns the densely connected layer with DenseParams
+ * 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_dense(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num);
+
+/**
+ * @brief Execute the Densely-Connected Layer.
+ *
+ * @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 dense 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_dense(DnnOperand *operands, const int32_t *input_operand_indexes,
int32_t output_operand_index, const void *parameters, NativeContext *ctx);
#endif