> Hello,
>
> On Fri, 2 Feb 2024, at 08:26, wenbin.chen-at-intel....@ffmpeg.org wrote:
> > +static void infer_completion_callback(void *args) {
> > + THRequestItem *request = (THRequestItem*)args;
> > + LastLevelTaskItem *lltask = request->lltask;
> > + TaskItem *task = lltask->task;
> > + DNNData outputs = { 0 };
> > + THInferRequest *infer_request = request->infer_request;
> > + THModel *th_model = (THModel *)task->model;
> > + torch::Tensor *output = infer_request->output;
> > +
> > + c10::IntArrayRef sizes = output->sizes();
> > + assert(sizes.size == 5);
>
> Why 5?
5 means 5 channels: [batch_size, frame_number, channel, height, width]
I only add video SR support, so it only support this type of data for now.
I will change the code to be more easy to read.
>
> > + outputs.order = DCO_RGB;
> > + outputs.layout = DL_NCHW;
> > + outputs.dims[2] = sizes.at(3);
> > + outputs.dims[3] = sizes.at(4);
> > + outputs.dt = DNN_FLOAT;
> > + outputs.dims[1] = 3;
>
> Why 3?
It is RGB so the channel is 3, but I should use sizes.at(2) instead of a magic
number.
Thanks for pointing it out. I will update it in patch v3.
>
>
> --
> Jean-Baptiste Kempf - President
> +33 672 704 734
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