Niklas Haas
6a91a165fd
swscale: eliminate redundant SwsInternal accesses
...
This is a purely cosmetic commit aimed at replacing accesses to
SwsInternal.opts by direct access to SwsContext wherever convenient.
Sponsored-by: Sovereign Tech Fund
Signed-off-by: Niklas Haas <git@haasn.dev>
2024-11-25 10:59:52 +01:00
Niklas Haas
2d077f9acd
swscale/internal: group user-facing options together
...
This is a preliminary step to separating these into a new struct. This
commit contains no functional changes, it is a pure search-and-replace.
Sponsored-by: Sovereign Tech Fund
Signed-off-by: Niklas Haas <git@haasn.dev>
2024-11-21 12:49:56 +01:00
Ramiro Polla
a8ef1fac0d
checkasm: use FF_ARRAY_ELEMS instead of hardcoding size of arrays
2024-10-27 13:20:56 +01:00
Niklas Haas
67adb30322
swscale: rename SwsContext to SwsInternal
...
And preserve the public SwsContext as separate name. The motivation here
is that I want to turn SwsContext into a public struct, while keeping the
internal implementation hidden. Additionally, I also want to be able to
use multiple internal implementations, e.g. for GPU devices.
This commit does not include any functional changes. For the most part, it is
a simple rename. The only complications arise from the public facing API
functions, which preserve their current type (and hence require an additional
unwrapping step internally), and the checkasm test framework, which directly
accesses SwsInternal.
For consistency, the affected functions that need to maintain a distionction
have generally been changed to refer to the SwsContext as *sws, and the
SwsInternal as *c.
In an upcoming commit, I will provide a backing definition for the public
SwsContext, and update `sws_internal()` to dereference the internal struct
instead of merely casting it.
Sponsored-by: Sovereign Tech Fund
Signed-off-by: Niklas Haas <git@haasn.dev>
2024-10-24 22:50:00 +02:00
James Almer
2a6f84718b
fate/checkasm/sw_gbrp: don't randomly set internal values
...
They are set by sws_init_context().
May help with signed integer overflows reported by gcc-usan.
Signed-off-by: James Almer <jamrial@gmail.com>
2024-09-05 22:19:47 -03:00
Andreas Rheinhardt
784672b833
tests/checkasm/sw_gbrp: Use correct function types for calls
...
E.g. f2de911818
2024-05-17 13:36:03 +02:00
Mark Reid
52f7026164
swscale/x86/input.asm: add x86-optimized planer rgb2yuv functions
...
sse2 only operates on 2 lanes per loop for to_y and to_uv functions, due
to the lack of pmulld instruction. Emulating pmulld with 2 pmuludq and shuffles
proved too costly and made to_uv functions slower then the c implementation.
For to_y on sse2 only float functions are generated,
I was are not able outperform the c implementation on the integer pixel formats.
For to_a on see4 only the float functions are generated.
sse2 and sse4 generated nearly identical performing code on integer pixel formats,
so only sse2/avx2 versions are generated.
planar_gbrp_to_y_512_c: 1197.5
planar_gbrp_to_y_512_sse4: 444.5
planar_gbrp_to_y_512_avx2: 287.5
planar_gbrap_to_y_512_c: 1204.5
planar_gbrap_to_y_512_sse4: 447.5
planar_gbrap_to_y_512_avx2: 289.5
planar_gbrp9be_to_y_512_c: 1380.0
planar_gbrp9be_to_y_512_sse4: 543.5
planar_gbrp9be_to_y_512_avx2: 340.0
planar_gbrp9le_to_y_512_c: 1200.5
planar_gbrp9le_to_y_512_sse4: 442.0
planar_gbrp9le_to_y_512_avx2: 282.0
planar_gbrp10be_to_y_512_c: 1378.5
planar_gbrp10be_to_y_512_sse4: 544.0
planar_gbrp10be_to_y_512_avx2: 337.5
planar_gbrp10le_to_y_512_c: 1200.0
planar_gbrp10le_to_y_512_sse4: 448.0
planar_gbrp10le_to_y_512_avx2: 285.5
planar_gbrap10be_to_y_512_c: 1380.0
planar_gbrap10be_to_y_512_sse4: 542.0
planar_gbrap10be_to_y_512_avx2: 340.5
planar_gbrap10le_to_y_512_c: 1199.0
planar_gbrap10le_to_y_512_sse4: 446.0
planar_gbrap10le_to_y_512_avx2: 289.5
planar_gbrp12be_to_y_512_c: 10563.0
planar_gbrp12be_to_y_512_sse4: 542.5
planar_gbrp12be_to_y_512_avx2: 339.0
planar_gbrp12le_to_y_512_c: 1201.0
planar_gbrp12le_to_y_512_sse4: 440.5
planar_gbrp12le_to_y_512_avx2: 286.0
planar_gbrap12be_to_y_512_c: 1701.5
planar_gbrap12be_to_y_512_sse4: 917.0
planar_gbrap12be_to_y_512_avx2: 338.5
planar_gbrap12le_to_y_512_c: 1201.0
planar_gbrap12le_to_y_512_sse4: 444.5
planar_gbrap12le_to_y_512_avx2: 288.0
planar_gbrp14be_to_y_512_c: 1370.5
planar_gbrp14be_to_y_512_sse4: 545.0
planar_gbrp14be_to_y_512_avx2: 338.5
planar_gbrp14le_to_y_512_c: 1199.0
planar_gbrp14le_to_y_512_sse4: 444.0
planar_gbrp14le_to_y_512_avx2: 279.5
planar_gbrp16be_to_y_512_c: 1364.0
planar_gbrp16be_to_y_512_sse4: 544.5
planar_gbrp16be_to_y_512_avx2: 339.5
planar_gbrp16le_to_y_512_c: 1201.0
planar_gbrp16le_to_y_512_sse4: 445.5
planar_gbrp16le_to_y_512_avx2: 280.5
planar_gbrap16be_to_y_512_c: 1377.0
planar_gbrap16be_to_y_512_sse4: 545.0
planar_gbrap16be_to_y_512_avx2: 338.5
planar_gbrap16le_to_y_512_c: 1201.0
planar_gbrap16le_to_y_512_sse4: 442.0
planar_gbrap16le_to_y_512_avx2: 279.0
planar_gbrpf32be_to_y_512_c: 4113.0
planar_gbrpf32be_to_y_512_sse2: 2438.0
planar_gbrpf32be_to_y_512_sse4: 1068.0
planar_gbrpf32be_to_y_512_avx2: 904.5
planar_gbrpf32le_to_y_512_c: 3818.5
planar_gbrpf32le_to_y_512_sse2: 2024.5
planar_gbrpf32le_to_y_512_sse4: 1241.5
planar_gbrpf32le_to_y_512_avx2: 657.0
planar_gbrapf32be_to_y_512_c: 3707.0
planar_gbrapf32be_to_y_512_sse2: 2444.0
planar_gbrapf32be_to_y_512_sse4: 1077.0
planar_gbrapf32be_to_y_512_avx2: 909.0
planar_gbrapf32le_to_y_512_c: 3822.0
planar_gbrapf32le_to_y_512_sse2: 2024.5
planar_gbrapf32le_to_y_512_sse4: 1176.0
planar_gbrapf32le_to_y_512_avx2: 658.5
planar_gbrp_to_uv_512_c: 2325.8
planar_gbrp_to_uv_512_sse2: 1726.8
planar_gbrp_to_uv_512_sse4: 771.8
planar_gbrp_to_uv_512_avx2: 506.8
planar_gbrap_to_uv_512_c: 2281.8
planar_gbrap_to_uv_512_sse2: 1726.3
planar_gbrap_to_uv_512_sse4: 768.3
planar_gbrap_to_uv_512_avx2: 496.3
planar_gbrp9be_to_uv_512_c: 2336.8
planar_gbrp9be_to_uv_512_sse2: 1924.8
planar_gbrp9be_to_uv_512_sse4: 852.3
planar_gbrp9be_to_uv_512_avx2: 552.8
planar_gbrp9le_to_uv_512_c: 2270.3
planar_gbrp9le_to_uv_512_sse2: 1512.3
planar_gbrp9le_to_uv_512_sse4: 764.3
planar_gbrp9le_to_uv_512_avx2: 491.3
planar_gbrp10be_to_uv_512_c: 2281.8
planar_gbrp10be_to_uv_512_sse2: 1917.8
planar_gbrp10be_to_uv_512_sse4: 855.3
planar_gbrp10be_to_uv_512_avx2: 541.3
planar_gbrp10le_to_uv_512_c: 2269.8
planar_gbrp10le_to_uv_512_sse2: 1515.3
planar_gbrp10le_to_uv_512_sse4: 759.8
planar_gbrp10le_to_uv_512_avx2: 487.8
planar_gbrap10be_to_uv_512_c: 2382.3
planar_gbrap10be_to_uv_512_sse2: 1924.8
planar_gbrap10be_to_uv_512_sse4: 855.3
planar_gbrap10be_to_uv_512_avx2: 540.8
planar_gbrap10le_to_uv_512_c: 2382.3
planar_gbrap10le_to_uv_512_sse2: 1512.3
planar_gbrap10le_to_uv_512_sse4: 759.3
planar_gbrap10le_to_uv_512_avx2: 484.8
planar_gbrp12be_to_uv_512_c: 2283.8
planar_gbrp12be_to_uv_512_sse2: 1936.8
planar_gbrp12be_to_uv_512_sse4: 858.3
planar_gbrp12be_to_uv_512_avx2: 541.3
planar_gbrp12le_to_uv_512_c: 2278.8
planar_gbrp12le_to_uv_512_sse2: 1507.3
planar_gbrp12le_to_uv_512_sse4: 760.3
planar_gbrp12le_to_uv_512_avx2: 485.8
planar_gbrap12be_to_uv_512_c: 2385.3
planar_gbrap12be_to_uv_512_sse2: 1927.8
planar_gbrap12be_to_uv_512_sse4: 855.3
planar_gbrap12be_to_uv_512_avx2: 539.8
planar_gbrap12le_to_uv_512_c: 2377.3
planar_gbrap12le_to_uv_512_sse2: 1516.3
planar_gbrap12le_to_uv_512_sse4: 759.3
planar_gbrap12le_to_uv_512_avx2: 484.8
planar_gbrp14be_to_uv_512_c: 2283.8
planar_gbrp14be_to_uv_512_sse2: 1935.3
planar_gbrp14be_to_uv_512_sse4: 852.3
planar_gbrp14be_to_uv_512_avx2: 540.3
planar_gbrp14le_to_uv_512_c: 2276.8
planar_gbrp14le_to_uv_512_sse2: 1514.8
planar_gbrp14le_to_uv_512_sse4: 762.3
planar_gbrp14le_to_uv_512_avx2: 484.8
planar_gbrp16be_to_uv_512_c: 2383.3
planar_gbrp16be_to_uv_512_sse2: 1881.8
planar_gbrp16be_to_uv_512_sse4: 852.3
planar_gbrp16be_to_uv_512_avx2: 541.8
planar_gbrp16le_to_uv_512_c: 2378.3
planar_gbrp16le_to_uv_512_sse2: 1476.8
planar_gbrp16le_to_uv_512_sse4: 765.3
planar_gbrp16le_to_uv_512_avx2: 485.8
planar_gbrap16be_to_uv_512_c: 2382.3
planar_gbrap16be_to_uv_512_sse2: 1886.3
planar_gbrap16be_to_uv_512_sse4: 853.8
planar_gbrap16be_to_uv_512_avx2: 550.8
planar_gbrap16le_to_uv_512_c: 2381.8
planar_gbrap16le_to_uv_512_sse2: 1488.3
planar_gbrap16le_to_uv_512_sse4: 765.3
planar_gbrap16le_to_uv_512_avx2: 491.8
planar_gbrpf32be_to_uv_512_c: 4863.0
planar_gbrpf32be_to_uv_512_sse2: 3347.5
planar_gbrpf32be_to_uv_512_sse4: 1800.0
planar_gbrpf32be_to_uv_512_avx2: 1199.0
planar_gbrpf32le_to_uv_512_c: 4725.0
planar_gbrpf32le_to_uv_512_sse2: 2753.0
planar_gbrpf32le_to_uv_512_sse4: 1474.5
planar_gbrpf32le_to_uv_512_avx2: 927.5
planar_gbrapf32be_to_uv_512_c: 4859.0
planar_gbrapf32be_to_uv_512_sse2: 3269.0
planar_gbrapf32be_to_uv_512_sse4: 1802.0
planar_gbrapf32be_to_uv_512_avx2: 1201.5
planar_gbrapf32le_to_uv_512_c: 6338.0
planar_gbrapf32le_to_uv_512_sse2: 2756.5
planar_gbrapf32le_to_uv_512_sse4: 1476.0
planar_gbrapf32le_to_uv_512_avx2: 908.5
planar_gbrap_to_a_512_c: 383.3
planar_gbrap_to_a_512_sse2: 66.8
planar_gbrap_to_a_512_avx2: 43.8
planar_gbrap10be_to_a_512_c: 601.8
planar_gbrap10be_to_a_512_sse2: 86.3
planar_gbrap10be_to_a_512_avx2: 34.8
planar_gbrap10le_to_a_512_c: 602.3
planar_gbrap10le_to_a_512_sse2: 48.8
planar_gbrap10le_to_a_512_avx2: 31.3
planar_gbrap12be_to_a_512_c: 601.8
planar_gbrap12be_to_a_512_sse2: 111.8
planar_gbrap12be_to_a_512_avx2: 41.3
planar_gbrap12le_to_a_512_c: 385.8
planar_gbrap12le_to_a_512_sse2: 75.3
planar_gbrap12le_to_a_512_avx2: 39.8
planar_gbrap16be_to_a_512_c: 386.8
planar_gbrap16be_to_a_512_sse2: 79.8
planar_gbrap16be_to_a_512_avx2: 31.3
planar_gbrap16le_to_a_512_c: 600.3
planar_gbrap16le_to_a_512_sse2: 40.3
planar_gbrap16le_to_a_512_avx2: 30.3
planar_gbrapf32be_to_a_512_c: 1148.8
planar_gbrapf32be_to_a_512_sse2: 611.3
planar_gbrapf32be_to_a_512_sse4: 234.8
planar_gbrapf32be_to_a_512_avx2: 183.3
planar_gbrapf32le_to_a_512_c: 851.3
planar_gbrapf32le_to_a_512_sse2: 263.3
planar_gbrapf32le_to_a_512_sse4: 199.3
planar_gbrapf32le_to_a_512_avx2: 156.8
Reviewed-by: Paul B Mahol <onemda@gmail.com>
Signed-off-by: James Almer <jamrial@gmail.com>
2022-01-11 16:34:33 -03:00
Mark Reid
9e445a5be2
swscale/x86/output.asm: add x86-optimized planer gbr yuv2anyX functions
...
changes since v2:
* fixed label
changes since v1:
* remove vex intruction on sse4 path
* some load/pack marcos use less intructions
* fixed some typos
yuv2gbrp_full_X_4_512_c: 12757.6
yuv2gbrp_full_X_4_512_sse2: 8946.6
yuv2gbrp_full_X_4_512_sse4: 5138.6
yuv2gbrp_full_X_4_512_avx2: 3889.6
yuv2gbrap_full_X_4_512_c: 15368.6
yuv2gbrap_full_X_4_512_sse2: 11916.1
yuv2gbrap_full_X_4_512_sse4: 6294.6
yuv2gbrap_full_X_4_512_avx2: 3477.1
yuv2gbrp9be_full_X_4_512_c: 14381.6
yuv2gbrp9be_full_X_4_512_sse2: 9139.1
yuv2gbrp9be_full_X_4_512_sse4: 5150.1
yuv2gbrp9be_full_X_4_512_avx2: 2834.6
yuv2gbrp9le_full_X_4_512_c: 12990.1
yuv2gbrp9le_full_X_4_512_sse2: 9118.1
yuv2gbrp9le_full_X_4_512_sse4: 5132.1
yuv2gbrp9le_full_X_4_512_avx2: 2833.1
yuv2gbrp10be_full_X_4_512_c: 14401.6
yuv2gbrp10be_full_X_4_512_sse2: 9133.1
yuv2gbrp10be_full_X_4_512_sse4: 5126.1
yuv2gbrp10be_full_X_4_512_avx2: 2837.6
yuv2gbrp10le_full_X_4_512_c: 12718.1
yuv2gbrp10le_full_X_4_512_sse2: 9106.1
yuv2gbrp10le_full_X_4_512_sse4: 5120.1
yuv2gbrp10le_full_X_4_512_avx2: 2826.1
yuv2gbrap10be_full_X_4_512_c: 18535.6
yuv2gbrap10be_full_X_4_512_sse2: 33617.6
yuv2gbrap10be_full_X_4_512_sse4: 6264.1
yuv2gbrap10be_full_X_4_512_avx2: 3422.1
yuv2gbrap10le_full_X_4_512_c: 16724.1
yuv2gbrap10le_full_X_4_512_sse2: 11787.1
yuv2gbrap10le_full_X_4_512_sse4: 6282.1
yuv2gbrap10le_full_X_4_512_avx2: 3441.6
yuv2gbrp12be_full_X_4_512_c: 13723.6
yuv2gbrp12be_full_X_4_512_sse2: 9128.1
yuv2gbrp12be_full_X_4_512_sse4: 7997.6
yuv2gbrp12be_full_X_4_512_avx2: 2844.1
yuv2gbrp12le_full_X_4_512_c: 12257.1
yuv2gbrp12le_full_X_4_512_sse2: 9107.6
yuv2gbrp12le_full_X_4_512_sse4: 5142.6
yuv2gbrp12le_full_X_4_512_avx2: 2837.6
yuv2gbrap12be_full_X_4_512_c: 18511.1
yuv2gbrap12be_full_X_4_512_sse2: 12156.6
yuv2gbrap12be_full_X_4_512_sse4: 6251.1
yuv2gbrap12be_full_X_4_512_avx2: 3444.6
yuv2gbrap12le_full_X_4_512_c: 16687.1
yuv2gbrap12le_full_X_4_512_sse2: 11785.1
yuv2gbrap12le_full_X_4_512_sse4: 6243.6
yuv2gbrap12le_full_X_4_512_avx2: 3446.1
yuv2gbrp14be_full_X_4_512_c: 13690.6
yuv2gbrp14be_full_X_4_512_sse2: 9120.6
yuv2gbrp14be_full_X_4_512_sse4: 5138.1
yuv2gbrp14be_full_X_4_512_avx2: 2843.1
yuv2gbrp14le_full_X_4_512_c: 14995.6
yuv2gbrp14le_full_X_4_512_sse2: 9119.1
yuv2gbrp14le_full_X_4_512_sse4: 5126.1
yuv2gbrp14le_full_X_4_512_avx2: 2843.1
yuv2gbrp16be_full_X_4_512_c: 12367.1
yuv2gbrp16be_full_X_4_512_sse2: 8233.6
yuv2gbrp16be_full_X_4_512_sse4: 4820.1
yuv2gbrp16be_full_X_4_512_avx2: 2666.6
yuv2gbrp16le_full_X_4_512_c: 10904.1
yuv2gbrp16le_full_X_4_512_sse2: 8214.1
yuv2gbrp16le_full_X_4_512_sse4: 4824.1
yuv2gbrp16le_full_X_4_512_avx2: 2629.1
yuv2gbrap16be_full_X_4_512_c: 26569.6
yuv2gbrap16be_full_X_4_512_sse2: 10884.1
yuv2gbrap16be_full_X_4_512_sse4: 5488.1
yuv2gbrap16be_full_X_4_512_avx2: 3272.1
yuv2gbrap16le_full_X_4_512_c: 14010.1
yuv2gbrap16le_full_X_4_512_sse2: 10562.1
yuv2gbrap16le_full_X_4_512_sse4: 5463.6
yuv2gbrap16le_full_X_4_512_avx2: 3255.1
yuv2gbrpf32be_full_X_4_512_c: 14524.1
yuv2gbrpf32be_full_X_4_512_sse2: 8552.6
yuv2gbrpf32be_full_X_4_512_sse4: 4636.1
yuv2gbrpf32be_full_X_4_512_avx2: 2474.6
yuv2gbrpf32le_full_X_4_512_c: 13060.6
yuv2gbrpf32le_full_X_4_512_sse2: 9682.6
yuv2gbrpf32le_full_X_4_512_sse4: 4298.1
yuv2gbrpf32le_full_X_4_512_avx2: 2453.1
yuv2gbrapf32be_full_X_4_512_c: 18629.6
yuv2gbrapf32be_full_X_4_512_sse2: 11363.1
yuv2gbrapf32be_full_X_4_512_sse4: 15201.6
yuv2gbrapf32be_full_X_4_512_avx2: 3727.1
yuv2gbrapf32le_full_X_4_512_c: 16677.6
yuv2gbrapf32le_full_X_4_512_sse2: 10221.6
yuv2gbrapf32le_full_X_4_512_sse4: 5693.6
yuv2gbrapf32le_full_X_4_512_avx2: 3656.6
Reviewed-by: Paul B Mahol <onemda@gmail.com>
Signed-off-by: James Almer <jamrial@gmail.com>
2022-01-11 16:33:17 -03:00
