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[FFmpeg-devel,V5,2/5] lavfi/dnn_backend_native_layer_conv2d.h: Documentation

Message ID 20210514071104.23670-1-shubhanshu.e01@gmail.com
State Accepted
Commit a61b7654a223d9e232c4a7a699f02cc045e79d19
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Series Untitled series #3970
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Commit Message

Shubhanshu Saxena May 14, 2021, 7:11 a.m. UTC
Add documentation for 2D Convolution Layer

Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com>
---
 .../dnn/dnn_backend_native_layer_conv2d.h     | 27 +++++++++++++++++++
 1 file changed, 27 insertions(+)
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Patch

diff --git a/libavfilter/dnn/dnn_backend_native_layer_conv2d.h b/libavfilter/dnn/dnn_backend_native_layer_conv2d.h
index 03ca795c61..446f48f608 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_conv2d.h
+++ b/libavfilter/dnn/dnn_backend_native_layer_conv2d.h
@@ -34,7 +34,34 @@  typedef struct ConvolutionalParams{
     float *biases;
 } ConvolutionalParams;
 
+/**
+ * @brief Load the 2D Convolution Layer.
+ *
+ * It assigns the 2D convolution layer with ConvolutionalParams
+ * 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_conv2d(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num);
+
+/**
+ * @brief Execute the 2D Convolution 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 convolution 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_conv2d(DnnOperand *operands, const int32_t *input_operand_indexes,
                                 int32_t output_operand_index, const void *parameters, NativeContext *ctx);
 #endif