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Author SHA1 Message Date
Joose Sainio eb73548af5 Encode first frame completely before starting others to enable owf 2019-11-18 09:51:37 +02:00
Marko Viitanen 17a53230fd Code cleanup, remove unused arrays and remove tabs 2019-11-18 09:01:23 +02:00
Pauli Oikkonen 4761d228f9 Start to vectorize the 4x4 loop 2019-11-15 17:32:40 +02:00
Pauli Oikkonen 8d45ab4951 Stupidify the 4x4 planar loop for vectorization 2019-11-14 17:14:04 +02:00
Marko Viitanen 91528f3292 Update contexts 2019-11-14 13:46:51 +02:00
Marko Viitanen b309ed90be Fix NAL packet and missing fields in SPS 2019-11-14 09:21:11 +02:00
Marko Viitanen 74514981a9 Fixed PPS, SPS and slice headers and NAL unit types 2019-11-13 15:59:36 +02:00
Joose Sainio c759c138ed Prepare the rc data structure to be shared among all frame encoders 2019-11-13 11:56:25 +02:00
Joose Sainio cdb7c851a4 Fix weight calculation 2019-11-13 08:55:31 +02:00
Joose Sainio b9b01f8036 WPP with threading 2019-11-12 12:12:57 +02:00
Joose Sainio 615973adca should enable threading with wpp when owf is not used 2019-11-12 09:03:00 +02:00
Pauli Oikkonen 6f13f6525c Merge branch 'new_prints' 2019-11-07 17:04:21 +02:00
Joose Sainio d353f7dd1a Disable debug prints, fix multiple bugs in the calculation 2019-11-07 15:08:57 +02:00
mercat 57e8c3ebc2 Merge branch 'ML-cplx_red_ICIP' 2019-11-07 13:25:47 +02:00
Pauli Oikkonen 558f0ec401 Mbps, not mbps 2019-11-05 18:06:00 +02:00
Pauli Oikkonen 2edf533925 Tidy the end report printing 
Also fix a bug with non-integer target FPS
 2019-11-05 17:20:00 +02:00
Joose Sainio 408fd4ccb6 Fix lambda and qp calcualtion for intra frames 
also fixes a bug with selecting the clip neighbor lambda and clip neighbor qp
selection for inter frames
 2019-11-05 10:51:39 +02:00
Pauli Oikkonen c7313ce567 Store AVG QP information in encmain 2019-11-04 17:08:07 +02:00
Reima Hyvönen 80575c59bf Some updates done to get right bitrate and avg QP 2019-10-31 15:56:24 +02:00
Reima Hyvönen 252bab8820 Added prints to bitrate and AVG QP 2019-10-31 15:56:24 +02:00
Pauli Oikkonen 6d7a4f555c Also remove 16x16 (A * B^T)^T matrix multiply 
Can be done using (B * A^T) instead, it's the exact same
 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 2c2deb2366 Tidy AVX2 32x32 matrix multiply 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 98ad78b333 Tidy the old AVX2 32x32 matrix multiply 
It was actually a very good algorithm, just looked messy!
 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 4a921cbdb5 Retain data as much in YMM registers as possible 
This seems to make it a whole lot quicker
 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 9589baccac Add more swap filename patterns to .gitignore 2019-10-28 16:19:42 +02:00
Pauli Oikkonen ac4d710e23 Unroll 32x32 matrix multiply, use all regs 2019-10-28 16:19:42 +02:00
Pauli Oikkonen a58608d0b8 Remove totally unnecessary (A * B^T)^T 32x32 multiply 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 043f53539f Implement a streamlined matrix-multiply 32x32 DCT 2019-10-28 16:19:42 +02:00
Pauli Oikkonen e9da2d851b Tidy 32x32 fast DCT's helper functions 2019-10-28 16:19:42 +02:00
Pauli Oikkonen e382339182 Implement fast (butterfly) 32x32 DCT in AVX2 2019-10-28 16:19:42 +02:00
Pauli Oikkonen b5962dadac Tidy indentation in AVX2 16x16 iDCT 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 36a8f89025 Fine-tune 16x16 AVX2 iDCT 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 2b95d9cdd6 Align all DCT test buffers to 32 bytes 
Now that most AVX2 DCTs use MOVDQA instead of MOVDQU, also adapt the
tests to that..
 2019-10-28 16:19:42 +02:00
Pauli Oikkonen ca9409de2b Implement 16x16 DCT as butterfly algorithm in AVX2 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 7c69a26717 Use aligned loads and stores for AVX2 DCT 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 8e9c65dca6 Align DCT matrices and temp transform buffers 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 148a150522 Align DCT source and dest blocks to cache line 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 8e60bbf6a6 Slightly tune 16x16 forward DCT 
Use an array of __m256i's to store temporary value, essentially letting
the compiler enforce alignment and use aligned loads and stores.
 2019-10-28 16:19:42 +02:00
Pauli Oikkonen c0cc0e8a75 Optimize 16x16 multiply by only slicing right mat once 2019-10-28 16:19:42 +02:00
Pauli Oikkonen e463d27f22 Implement streamlined generic 16x16 matrix multiply 
It can't be this fast for real, can it?
 2019-10-28 16:19:42 +02:00
Pauli Oikkonen beb85ce9d6 Reorder parameters for 8x8 matrix multiplies 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 292af62256 Implement tailored 16x16 forward DCT 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 30ce461d98 Redo 4x4 matrix multiplication 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 07970ea82f Streamline by-the-book 8x8 matrix multiplication 
Also chop up the forward transform into two tailored multiply functions
 2019-10-28 16:19:42 +02:00
Pauli Oikkonen 7ec7ab3361 Implement a tailored AVX2 8x8 DCT 2019-10-28 16:19:42 +02:00
Joose Sainio 372934c7db Fix division by zero 2019-10-10 16:35:56 +03:00
Joose Sainio 9bdfdeaf5c Rest of the owl 2019-10-09 15:48:58 +03:00
Joose Sainio 1ba8525faf WIP 2019-10-09 10:35:07 +03:00
Joose Sainio 19496d2692 ? 2019-10-03 14:50:11 +03:00
Joose Sainio 4b111e339e fix couple of bugs in the implementation, bit calculation seems still bit off 2019-10-01 15:08:39 +03:00