[FFmpeg-devel] [PATCH 3/5 v2] lavfi/dnn_backend_native_layer_dense.h: Documentation

[Shubhanshu Saxena]

On Thu, May 13, 2021 at 6:52 AM Guo, Yejun <yejun.guo at intel.com> wrote:

>
>
> > -----Original Message-----
> > From: ffmpeg-devel <ffmpeg-devel-bounces at ffmpeg.org> On Behalf Of
> > Shubhanshu Saxena
> > Sent: 2021年5月13日 2:45
> > To: ffmpeg-devel at ffmpeg.org
> > Cc: Shubhanshu Saxena <shubhanshu.e01 at gmail.com>
> > Subject: [FFmpeg-devel] [PATCH 3/5 v2]
> > lavfi/dnn_backend_native_layer_dense.h: Documentation
> >
> > Add documentation for Dense Layer
> >
> > Signed-off-by: Shubhanshu Saxena <shubhanshu.e01 at gmail.com>
> > ---
> >  .../dnn/dnn_backend_native_layer_dense.h      | 28
> > +++++++++++++++++++
> >  1 file changed, 28 insertions(+)
> >
> > diff --git a/libavfilter/dnn/dnn_backend_native_layer_dense.h
> > b/libavfilter/dnn/dnn_backend_native_layer_dense.h
> > index 86248856ae..83fcb18831 100644
> > --- a/libavfilter/dnn/dnn_backend_native_layer_dense.h
> > +++ b/libavfilter/dnn/dnn_backend_native_layer_dense.h
> > @@ -31,7 +31,35 @@ typedef struct DenseParams{
> >      float *biases;
> >  } DenseParams;
> >
> > +/**
> > + * @brief Load the Densely-Connnected Layer.
>
> Connnected -> Connected
>
> > + *
> > + * It assigns the layer parameters to the hyperparameters
> > + * like activation, bias, and kernel size after parsing
> > + * from the model file context.
>
> dense layer does not has parameter kernel size, it is derived
> from layer's input number and output number.
>
> it is a time consuming work to list all the correct parameters here,
> so we might simplify the doc like below for all the patches.
>
> 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-Connnected Layer.
>
> typo: Connnected
>
>
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Sure, done. Thanks