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Author SHA1 Message Date
Joose Sainio ab2fded8af Update threadwrapper to enable pthread_rwlock_t 2019-11-21 13:38:40 +02:00
Joose Sainio eb78aead1f Fix additional potential data races 2019-11-21 11:03:12 +02:00
Joose Sainio 35d7e0d88b Fix data race 2019-11-21 10:25:04 +02:00
Joose Sainio 7a49cb60fb Merge branch 'rc-intra' of gitlab.tut.fi:TIE/ultravideo/kvazaar into rc-intra 2019-11-19 15:09:49 +02:00
Pauli Oikkonen 979d66031c Create a strategy out of intra_pred_filtered_dc 2019-11-19 14:50:31 +02:00
Joose Sainio 7ebe30448e added tests for the new ratecontrol 2019-11-19 14:38:37 +02:00
Joose Sainio 0e8815a3d8 test clipping qp to previous frame instead of previous ctus 2019-11-19 14:32:31 +02:00
Joose Sainio ddb4e5a131 move the intra bit calculation so that it is used also with lambda rc 2019-11-19 14:16:48 +02:00
Joose Sainio a07833f3e6 check that mallocs in rc initialization were successful 
only call kvz_update_after_picture when using the OBA rc
 2019-11-19 13:59:44 +02:00
Joose Sainio 50d410a316 re-enable static qp encoding and lambda rc 2019-11-19 13:45:58 +02:00
Pauli Oikkonen fa4bb86406 Optimize intra_pred_planar_avx2 for 4x4 blocks 2019-11-19 13:39:02 +02:00
Joose Sainio 57e5615ece Fix incorrect intra rc calculation skipping 2019-11-19 13:25:31 +02:00
Joose Sainio 6cc3bcd87e Command line parameters for oba rc and implementation of the usage of the intra parameter 2019-11-19 09:29:06 +02:00
Joose Sainio eb73548af5 Encode first frame completely before starting others to enable owf 2019-11-18 09:51:37 +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
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