Building iOS platform with arm64, the compiler has a warning: "instruction movi.2d with immediate #0 may not function correctly on this CPU, converting to movi.16b"
Signed-off-by: xufuji456 <839789740@qq.com>
Signed-off-by: Martin Storsjö <martin@martin.st>
Declaring the function argument as const fixes a warning down the line
that the const parameter is stripped. We don't modify this argument.
Signed-off-by: Leo Izen <leo.izen@gmail.com>
Signed-off-by: Zhao Zhili <zhilizhao@tencent.com>
3d29724c00 removed the doc entry for the option pool while adding
a parser function for it at the same time!
The option remains available and undeprecated.
Fixes trac #10693
This fixes corrupted audio for applications relying on ch_layout when
codec downmixing is active.
Signed-off-by: Geoffrey McRae <geoff@hostfission.com>
Signed-off-by: James Almer <jamrial@gmail.com>
Applications making use of this codec with the `downmix` option are
segfaulting unless the `ch_layout` is overridden after `avcodec_open2`
as can be seen in projects like MythTV[1]
This patch fixes this by overriding the ch_layout as done in other
decoders such as AC3.
1: af6f362a14/mythtv/libs/libmythtv/decoders/avformatdecoder.cpp (L4607)
Signed-off-by: Geoffrey McRae <geoff@hostfission.com>
Signed-off-by: James Almer <jamrial@gmail.com>
Add yolo support. Yolo model doesn't output final result. It outputs
candidate boxes, so we need post-process to remove overlap boxes to
get final results. Also, the box's coordinators relate to cell and
anchors, so we need these information to calculate boxes as well.
Model detail please refer to: https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/yolo-v2-tf
Signed-off-by: Wenbin Chen <wenbin.chen@intel.com>
Reviewed-by: Guo Yejun <yejun.guo@intel.com>
There are many kinds of detection DNN model and they have different
preprocess and postprocess methods. To support more models,
"model_type" option is added to help to choose preprocess and
postprocess function.
Signed-off-by: Wenbin Chen <wenbin.chen@intel.com>
Reviewed-by: Guo Yejun <yejun.guo@intel.com>
This reverts commit bec6dfcd5c.
The patch is NOP since ffurl_open_whitelist copy options from parent
automatically.
Signed-off-by: Zhao Zhili <zhilizhao@tencent.com>
Terminating the whole checkasm process is not very helpful. This will
report if an illegal instruction occurs while executing a tested
function. This is a common occurrence whilst developping RISC-V
assembler, due to the compatibility between vector configuration and
instruction done at run-time.
The input is laid out in 16 segments, of which 13 actually need to be
loaded. There are no really efficient ways to deal with this:
1) If we load 8 segments wit unit stride, then narrow to 16 segments with
right shifts, we can only get one half-size vector per segment, or just 2
elements per vector (EMUL=1/2) - at least with 128-bit vectors.
This ends up unsurprisingly about as fas as the C code.
2) The current approach is to load with strides. We keep that approach,
but improve it using three 4-segmented loads instead of 12 single-segment
loads. This divides the number of distinct loaded addresses by 4.
3) A potential third approach would be to avoid segmentation altogether
and splat the scalar coefficient into vectors. Then we can use a
unit-stride and maximum EMUL. But the downside then is that we have to
multiply the 3 (of 16) unused segments with zero as part of the
multiply-accumulate operations.
In addition, we also reuse vectors mid-loop so as to increase the EMUL
from 1 to 2, which also improves performance a little bit.
Oeverall the gains are quite small with the device under test, as it does
not deal with segmented loads very well. But at least the code is tidier,
and should enjoy bigger speed-ups on better hardware implementation.
Before:
ps_hybrid_analysis_c: 1819.2
ps_hybrid_analysis_rvv_f32: 1037.0 (before)
ps_hybrid_analysis_rvv_f32: 990.0 (after)
This stores the constant coefficients deinterleaved, so that they can be
loaded directly with NF=0. Unfortunately, we cannot optimise loading the
input, due to insufficient memory alignment (not 32-bit).
Before:
g722_apply_qmf_c: 82.5
g722_apply_qmf_rvv_i32: 78.2
After:
g722_apply_qmf_c: 82.5
g722_apply_qmf_rvv_i32: 65.2
Gathers are (unsurprisingly) a notable exception to the rule that R-V V
gets faster with larger group multipliers. So roll the function to speed
it up.
Before:
vector_fmul_reverse_fixed_c: 2840.7
vector_fmul_reverse_fixed_rvv_i32: 2430.2
After:
vector_fmul_reverse_fixed_c: 2841.0
vector_fmul_reverse_fixed_rvv_i32: 962.2
It might be possible to further optimise the function by moving the
reverse-subtract out of the loop and adding ad-hoc tail handling.
