1 Reply by nabildanial

(426 replies, posted in Using SVP)

I somehow got it working after installing OpenCL ICD for Intel but the performance is horrendous compared to Windows. IIRC I used to get better performance when using SVPflow in the past.

Clinfo dump:

$ clinfo
Number of platforms                               1
  Platform Name                                   Intel(R) OpenCL
  Platform Vendor                                 Intel(R) Corporation
  Platform Version                                OpenCL 1.2 LINUX
  Platform Profile                                FULL_PROFILE
  Platform Extensions                             cl_khr_icd cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_3d_image_writes cl_intel_exec_by_local_thread cl_khr_spir cl_khr_fp64
  Platform Extensions function suffix             INTEL

  Platform Name                                   Intel(R) OpenCL
Number of devices                                 1
  Device Name                                     Intel(R) Core(TM) i7-4700MQ CPU @ 2.40GHz
  Device Vendor                                   Intel(R) Corporation
  Device Vendor ID                                0x8086
  Device Version                                  OpenCL 1.2 (Build 25)
  Driver Version                                  1.2.0.25
  Device OpenCL C Version                         OpenCL C 1.2
  Device Type                                     CPU
  Device Available                                Yes
  Device Profile                                  FULL_PROFILE
  Max compute units                               8
  Max clock frequency                             2400MHz
  Device Partition                                (core)
    Max number of sub-devices                     8
    Supported partition types                     by counts, equally, by names (Intel)
  Max work item dimensions                        3
  Max work item sizes                             8192x8192x8192
  Max work group size                             8192
  Compiler Available                              Yes
  Linker Available                                Yes
  Preferred work group size multiple              128
  Preferred / native vector sizes                 
    char                                                 1 / 32     
    short                                                1 / 16     
    int                                                  1 / 8       
    long                                                 1 / 4       
    half                                                 0 / 0        (n/a)
    float                                                1 / 8       
    double                                               1 / 4        (cl_khr_fp64)
  Half-precision Floating-point support           (n/a)
  Single-precision Floating-point support         (core)
    Denormals                                     Yes
    Infinity and NANs                             Yes
    Round to nearest                              Yes
    Round to zero                                 No
    Round to infinity                             No
    IEEE754-2008 fused multiply-add               No
    Support is emulated in software               No
    Correctly-rounded divide and sqrt operations  No
  Double-precision Floating-point support         (cl_khr_fp64)
    Denormals                                     Yes
    Infinity and NANs                             Yes
    Round to nearest                              Yes
    Round to zero                                 Yes
    Round to infinity                             Yes
    IEEE754-2008 fused multiply-add               Yes
    Support is emulated in software               No
    Correctly-rounded divide and sqrt operations  No
  Address bits                                    64, Little-Endian
  Global memory size                              8276062208 (7.708GiB)
  Error Correction support                        No
  Max memory allocation                           2069015552 (1.927GiB)
  Unified memory for Host and Device              Yes
  Minimum alignment for any data type             128 bytes
  Alignment of base address                       1024 bits (128 bytes)
  Global Memory cache type                        Read/Write
  Global Memory cache size                        262144 (256KiB)
  Global Memory cache line                        64 bytes
  Image support                                   Yes
    Max number of samplers per kernel             480
    Max size for 1D images from buffer            129313472 pixels
    Max 1D or 2D image array size                 2048 images
    Max 2D image size                             16384x16384 pixels
    Max 3D image size                             2048x2048x2048 pixels
    Max number of read image args                 480
    Max number of write image args                480
  Local memory type                               Global
  Local memory size                               32768 (32KiB)
  Max constant buffer size                        131072 (128KiB)
  Max number of constant args                     480
  Max size of kernel argument                     3840 (3.75KiB)
  Queue properties                               
    Out-of-order execution                        Yes
    Profiling                                     Yes
    Local thread execution (Intel)                Yes
  Prefer user sync for interop                    No
  Profiling timer resolution                      1ns
  Execution capabilities                         
    Run OpenCL kernels                            Yes
    Run native kernels                            Yes
    SPIR versions                                 1.2
  printf() buffer size                            1048576 (1024KiB)
  Built-in kernels                               
  Device Extensions                               cl_khr_icd cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_3d_image_writes cl_intel_exec_by_local_thread cl_khr_spir cl_khr_fp64

NULL platform behavior
  clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...)  Intel(R) OpenCL
  clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...)   Success [INTEL]
  clCreateContext(NULL, ...) [default]            Success [INTEL]
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU)  Success (1)
    Platform Name                                 Intel(R) OpenCL
    Device Name                                   Intel(R) Core(TM) i7-4700MQ CPU @ 2.40GHz
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU)  No devices found in platform
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR)  No devices found in platform
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM)  No devices found in platform
  clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL)  Success (1)
    Platform Name                                 Intel(R) OpenCL
    Device Name                                   Intel(R) Core(TM) i7-4700MQ CPU @ 2.40GHz

ICD loader properties
  ICD loader Name                                 OpenCL ICD Loader
  ICD loader Vendor                               OCL Icd free software
  ICD loader Version                              2.2.11
  ICD loader Profile                              OpenCL 2.1

Go to forum: Using SVP

2 Reply by nabildanial

(426 replies, posted in Using SVP)

Hi SVP team. I have a problem getting GPU acceleration working on my Arch Linux (KDE) laptop. Getting SVP working through AUR was easy and a breeze with SMPlayer. I have been using SVP for a day now but I just realized it don't use GPU acceleration like my Windows system do. It just says "No acceleration". I've already installed opencl-nvidia and ocl-icd packages.

Here some specs of my laptop: i7-4700MQ, GT 755M (Optimus/Bumblebee enabled), 8GB DD3

Any assistance will be much appreciated.

EDIT: idk if this info would help, but i just leave it here

$ ls /etc/OpenCL/vendors
nvidia.icd

Go to forum: Using SVP

3 Reply by nabildanial

(426 replies, posted in Using SVP)

Hi SVP devs,

I was trying out SVPFlow in realtime using Vapoursynth and mpv on Arch Linux, but can't get it working at all.

I changed the sample script as follows

import vapoursynth as vs

core = vs.get_core(threads=36)

clip = video_in
clip = clip.resize.Bicubic(format=vs.YUV420P8)

super_params="{gpu:1}"
analyse_params="{}"
smoothfps_params="{rate:{num:5,den:2}}"

super  = core.svp1.Super(clip,super_params)
vectors= core.svp1.Analyse(super["clip"],super["data"],clip,analyse_params)
smooth = core.svp2.SmoothFps(clip,super["clip"],super["data"],vectors["clip"],vectors["data"],smoothfps_params)
smooth = core.std.AssumeFPS(smooth,fpsnum=smooth.fps_num,fpsden=smooth.fps_den)

smooth.set_output()

but I got the following errors

[vapoursynth] Script evaluation failed:
[vapoursynth] Python exception: SVSuper: invalid 'params' syntax: * Line 1, Column 2
[vapoursynth]   Missing '}' or object member name
[vapoursynth]
[vapoursynth] Traceback (most recent call last):
[vapoursynth]   File "src/cython/vapoursynth.pyx", line 1489, in vapoursynth.vpy_evaluateScript (src/cython/vapoursynth.c:26952)
[vapoursynth]   File "/home/nabildanial/.config/mpv/sample_vs.py", line 12, in <module>
[vapoursynth]     super  = core.svp1.Super(clip,super_params)
[vapoursynth]   File "src/cython/vapoursynth.pyx", line 1381, in vapoursynth.Function.__call__ (src/cython/vapoursynth.c:25267)
[vapoursynth] vapoursynth.Error: SVSuper: invalid 'params' syntax: * Line 1, Column 2
[vapoursynth]   Missing '}' or object member name
[vapoursynth]

Am I missing something?

Go to forum: Using SVP

4 Reply by nabildanial

(14 replies, posted in Using SVP)

Chainik wrote:

we're building on Ubuntu 14.04...
and you'll need to pre-install
- latest vapoursynth
- mpv built with vapoursynth support
- Qt 5.5

Yes!! About time! I'm on Arch with KDE so Qt is already configured out of the box. I already have mpv + vapoursynth and been using it for about 2 months for motion interpolation in Linux. No GPU support though. I am wondering if SVP for Linux has GPU processing support. I'm buzzing for this!

Go to forum: Using SVP