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avfilter/vf_cuda_yadif: Avoid new syntax for vector initialisation
This requires a newer version of CUDA than we want to require.
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@ -201,9 +201,11 @@ __inline__ __device__ void yadif_double(T *dst,
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T m = tex2D<T>(cur, xo + 2, yo + 1);
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T n = tex2D<T>(cur, xo + 3, yo + 1);
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T spatial_pred = {
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spatial_predictor(a.x, b.x, c.x, d.x, e.x, f.x, g.x, h.x, i.x, j.x, k.x, l.x, m.x, n.x),
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spatial_predictor(a.y, b.y, c.y, d.y, e.y, f.y, g.y, h.y, i.y, j.y, k.y, l.y, m.y, n.y) };
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T spatial_pred;
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spatial_pred.x =
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spatial_predictor(a.x, b.x, c.x, d.x, e.x, f.x, g.x, h.x, i.x, j.x, k.x, l.x, m.x, n.x);
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spatial_pred.y =
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spatial_predictor(a.y, b.y, c.y, d.y, e.y, f.y, g.y, h.y, i.y, j.y, k.y, l.y, m.y, n.y);
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// Calculate temporal prediction
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int is_second_field = !(parity ^ tff);
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@ -226,11 +228,12 @@ __inline__ __device__ void yadif_double(T *dst,
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T K = tex2D<T>(next2, xo, yo - 1);
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T L = tex2D<T>(next2, xo, yo + 1);
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spatial_pred = {
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spatial_pred.x =
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temporal_predictor(A.x, B.x, C.x, D.x, E.x, F.x, G.x, H.x, I.x, J.x, K.x, L.x,
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spatial_pred.x, skip_spatial_check),
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spatial_pred.x, skip_spatial_check);
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spatial_pred.y =
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temporal_predictor(A.y, B.y, C.y, D.y, E.y, F.y, G.y, H.y, I.y, J.y, K.y, L.y,
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spatial_pred.y, skip_spatial_check) };
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spatial_pred.y, skip_spatial_check);
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dst[yo*dst_pitch+xo] = spatial_pred;
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}
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