This could cause timeouts
Fixes: CID1439568 Untrusted loop bound
Sponsored-by: Sovereign Tech Fund
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
I dont think this can actually overflow but 64bit seems reasonable to use
Fixes: CID1521983 Unintentional integer overflow
Sponsored-by: Sovereign Tech Fund
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
Fixes: CID1516090 Unchecked return value
Sponsored-by: Sovereign Tech Fund
Reviewed-by: Peter Ross <pross@xvid.org>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
Fixes: CID1560042 Unchecked return value
Sponsored-by: Sovereign Tech Fund
Reviewed-by: Nuo Mi <nuomi2021@gmail.com>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
Fixes: CID1461482 Improper use of negative value
Sponsored-by: Sovereign Tech Fund
Reviewed-.by: "Xiang, Haihao" <haihao.xiang@intel.com>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
Fixes: CID1452425 Logically dead code
Sponsored-by: Sovereign Tech Fund
Reviewed-by: Peter Ross <pross@xvid.org>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
Fixes: CID1507483 Unchecked return value
Sponsored-by: Sovereign Tech Fund
Reviewed-by: "Ronald S. Bultje" <rsbultje@gmail.com>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
This is pretty much the same as for lpc16, though it only improves half
as large prediction orders. With 128-bit vectors, this gives:
C V old V new
1 69.2 181.5 95.5
2 107.7 180.7 95.2
3 145.5 180.0 103.5
4 183.0 179.2 102.7
5 220.7 178.5 128.0
6 257.7 194.0 127.5
7 294.5 193.7 126.7
8 331.0 193.0 126.5
Larger prediction orders see no significant changes at that size.
This calculates the optimal vector type value at run-time based on the
hardware vector length and the FLAC LPC prediction order. In this
particular case, the additional computation is easily amortised over
the loop iterations:
T-Head C908:
C V before V after
1 48.0 214.7 95.2
2 64.7 214.2 94.7
3 79.7 213.5 94.5
4 96.2 196.5 94.2 #
5 111.0 195.7 118.5
6 127.0 211.2 102.0
7 143.7 194.2 101.5
8 175.7 193.2 101.2 #
9 176.2 224.2 126.0
10 191.5 192.0 125.5
11 224.5 191.2 124.7
12 223.0 190.2 124.2
13 239.2 189.5 123.7
14 253.7 188.7 139.5
15 286.2 188.0 122.7
16 284.0 187.0 122.5 #
17 300.2 186.5 186.5
18 314.0 185.5 185.7
19 329.7 184.7 185.0
20 343.0 184.2 184.2
21 358.7 199.2 183.7
22 371.7 182.7 182.7
23 387.5 181.7 182.0
24 400.7 181.0 181.2
25 431.5 180.2 196.5
26 443.7 195.5 196.0
27 459.0 178.7 196.2
28 470.7 177.7 194.2
29 470.0 177.0 193.5
30 481.2 176.2 176.5
31 496.2 175.5 175.7
32 507.2 174.7 191.0 #
# Power of two boundary.
With 128-bit vectors, improvements are expected for the first two
test cases only. For the other two, there is overhead but below noise.
Improvements should be better observable with prediction order of 8
and less, or on hardware with larger vector sizes.
vtype_vli computes the VTYPE value with the optimal LMUL for a given
element width, tail and mask policies and a run-time vector length.
vtype_ivli does the same, but with the compile-time constant vector
length.
vwtypei and vntypei can be used to widen or narrow a VTYPE value for
use in mixed-width vector-optimised functions.
This decoder does not do anything fancy any more since
c6303f8d70 (before that,
it overwrote the frame's linesize) so that it supports
direct rendering. This effectively reverts
d3de3a16d1.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
This commit is the analog of 3f11eac757
for decoding: It sets the AV_FRAME_FLAG_KEY and (for video decoders)
also pict_type to AV_PICTURE_TYPE_I. It furthermore stops setting
audio frames as always being key frames -- it is wrong for e.g.
TrueHD/MLP. The latter also affects TAK and DFPWM.
The change already improves output for several decoders where
it has been forgotten to set e.g. pict_type like speedhq, wnv1
or tiff. The latter is the reason for the change to the exif-image-tiff
FATE test reference file.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
It is currently always set for all audio frames, but this is
wrong (namely for MLP/TrueHD) and will be changed.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
The main loop processes 8 bytes in 5 instructions.
For comparison, the optimal plain strnlen() requires 4 instructions per
byte (6.4x worse): LBU; ADDI; BEQZ; BNE. The current libavcodec C code
involves 5 instructions per byte (8x worse). Actual benchmarks may be
slightly less favourable due to latency from ORC.B to BNE.
In the K&R style, a single-statement block does not have braces.
Edit the code to conform to this rule.
It is FFmpeg's code formatting convention to use K&R style.
Signed-off-by: Marcus B Spencer <marcus@marcusspencer.xyz>
vps_default_ptl_dpb_hrd_max_tid_flag needs to always be set, and
vps_direct_ref_layer_flag needs to be read even when
vps_max_tid_ref_present_flag is false.
Signed-off-by: James Almer <jamrial@gmail.com>
This patch trying to resolve mulitiple issues related to parameter
configuration:
Firstly, each DNN filters duplicate DNN_COMMON_OPTIONS, which should
be the common options of backend.
Secondly, backend options are hidden behind the scene. It's a
AV_OPT_TYPE_STRING backend_configs for user, and parsed by each
backend. We don't know each backend support what kind of options
from the help message.
Third, DNN backends duplicate DNN_BACKEND_COMMON_OPTIONS.
Last but not the least, pass backend options via AV_OPT_TYPE_STRING
makes it hard to pass AV_OPT_TYPE_BINARY to backend, if not impossible.
This patch puts backend common options and each backend options inside
DnnContext to reduce code duplication, make options user friendly, and
easy to extend for future usecase.
For example,
./ffmpeg -h filter=dnn_processing
dnn_processing AVOptions:
dnn_backend <int> ..FV....... DNN backend (from INT_MIN to INT_MAX) (default tensorflow)
tensorflow 1 ..FV....... tensorflow backend flag
openvino 2 ..FV....... openvino backend flag
torch 3 ..FV....... torch backend flag
dnn_base AVOptions:
model <string> ..F........ path to model file
input <string> ..F........ input name of the model
output <string> ..F........ output name of the model
backend_configs <string> ..F.......P backend configs (deprecated)
options <string> ..F.......P backend configs (deprecated)
nireq <int> ..F........ number of request (from 0 to INT_MAX) (default 0)
async <boolean> ..F........ use DNN async inference (default true)
device <string> ..F........ device to run model
dnn_tensorflow AVOptions:
sess_config <string> ..F........ config for SessionOptions
dnn_openvino AVOptions:
batch_size <int> ..F........ batch size per request (from 1 to 1000) (default 1)
input_resizable <boolean> ..F........ can input be resizable or not (default false)
layout <int> ..F........ input layout of model (from 0 to 2) (default none)
none 0 ..F........ none
nchw 1 ..F........ nchw
nhwc 2 ..F........ nhwc
scale <float> ..F........ Add scale preprocess operation. Divide each element of input by specified value. (from INT_MIN to INT_MAX) (default 0)
mean <float> ..F........ Add mean preprocess operation. Subtract specified value from each element of input. (from INT_MIN to INT_MAX) (default 0)
dnn_th AVOptions:
optimize <int> ..F........ turn on graph executor optimization (from 0 to 1) (default 0)
Signed-off-by: Zhao Zhili <zhilizhao@tencent.com>
Reviewed-by: Wenbin Chen <wenbin.chen@intel.com>
Reviewed-by: Guo Yejun <yejun.guo@intel.com>
The value was being parsed as base 4, so the value "4" was invalid and
would result in ts_layering_mode being set to 0.
Signed-off-by: Aaron Thompson <dev@aaront.org>
Signed-off-by: James Zern <jzern@google.com>
Fixes "signed integer overflow: [varies] * 104858 cannot be represented in type 'int'" errors
under ubsan.
Signed-off-by: James Almer <jamrial@gmail.com>
Andreas Rheinhardt
Michael Niedermayer
Andrea Mastroberti
Rémi Denis-Courmont
Marcus B Spencer
James Almer
Zhao Zhili
Brad Smith
Aaron Thompson
sunyuechi