| Message ID | 20210514071104.23670-4-shubhanshu.e01@gmail.com |
|---|---|
| State | Accepted |
| Commit | 11b489d592553da3d5e61a83482ee188005b0da9 |
| Headers | show |
| Series | None | expand |
> -----Original Message----- > From: ffmpeg-devel <ffmpeg-devel-bounces@ffmpeg.org> On Behalf Of > Shubhanshu Saxena > Sent: 2021年5月14日 15:11 > To: ffmpeg-devel@ffmpeg.org > Cc: Shubhanshu Saxena <shubhanshu.e01@gmail.com> > Subject: [FFmpeg-devel] [PATCH V5 5/5] > lavfi/dnn_backend_native_layer_mathunary.h: Documentation > > Add documentation for Unary Math Layer > > Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com> > --- > .../dnn/dnn_backend_native_layer_mathunary.h | 30 > +++++++++++++++++++ > 1 file changed, 30 insertions(+) > > 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); > LGTM, will push soon, thanks.
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);
Add documentation for Unary Math Layer Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com> --- .../dnn/dnn_backend_native_layer_mathunary.h | 30 +++++++++++++++++++ 1 file changed, 30 insertions(+)