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Windows Installation for NVIDIA GPU issue

Posted: Sun Sep 20, 2020 6:41 pm
by onnine

I have installed the faceswap application using the windows application installer for NVIDIA GPU usage.
I have checked the conda virtual environment to confirm that both "cudatoolkit" and "cudnn" are installed. The outputs are as follows:

Name Version Build
cudatoolkit 10.1.243 h74a9793_0
cudnn 7.6.5 cuda10.1_0

However, when I open the gui of the faceswap to check if those two packages are working properly, the system information showed that only "gpu_cuda" was working. "gpu_cudnn" gave the following error: "No global version found. Check Conda packages for Conda cuDNN". As a result, the faceswap application could not properly utilise my NVIDIA GPU. I have attached the full system information below for reference. Can anyone please advice on how this issue can be solved? Thanks in advance!

Code: Select all

============ System Information ============
encoding:            cp1252
git_branch:          master
git_commits:         5530346 Bugfix - Pre-caching masks when warp-to-landmarks is disabled
gpu_cuda:            10.0 11.0 9.0
gpu_cudnn:           No global version found. Check Conda packages for Conda cuDNN
gpu_devices:         GPU_0: GeForce 940MX
gpu_devices_active:  GPU_0
gpu_driver:          456.38
gpu_vram:            GPU_0: 4096MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.18362-SP0
os_release:          10
py_command:          E:\New folder\faceswap/faceswap.py gui
py_conda_version:    conda 4.8.4
py_implementation:   CPython
py_version:          3.8.5
py_virtual_env:      True
sys_cores:           4
sys_processor:       Intel64 Family 6 Model 142 Stepping 9, GenuineIntel
sys_ram:             Total: 16282MB, Available: 10054MB, Used: 6228MB, Free: 10054MB

=============== Pip Packages ===============
absl-py==0.10.0
astunparse==1.6.3
cachetools==4.1.1
certifi==2020.6.20
chardet==3.0.4
cycler==0.10.0
fastcluster==1.1.26
ffmpy==0.2.3
gast==0.3.3
google-auth==1.21.2
google-auth-oauthlib==0.4.1
google-pasta==0.2.0
grpcio==1.32.0
h5py==2.10.0
idna==2.10
imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1589202782679/work
joblib @ file:///tmp/build/80754af9/joblib_1594236160679/work
Keras-Preprocessing==1.1.2
kiwisolver==1.2.0
Markdown==3.2.2
matplotlib @ file:///C:/ci/matplotlib-base_1592837548929/work
mkl-fft==1.2.0
mkl-random==1.1.1
mkl-service==2.3.0
numpy @ file:///C:/ci/numpy_and_numpy_base_1596215850360/work
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib==3.1.0
olefile==0.46
opencv-python==4.4.0.42
opt-einsum==3.3.0
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1594298230227/work
protobuf==3.13.0
psutil @ file:///C:/ci/psutil_1598370330503/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyparsing==2.4.7
python-dateutil==2.8.1
pywin32==227
requests==2.24.0
requests-oauthlib==1.3.0
rsa==4.6
scikit-learn @ file:///C:/ci/scikit-learn_1598377018496/work
scipy==1.4.1
sip==4.19.13
six==1.15.0
tensorboard==2.2.2
tensorboard-plugin-wit==1.7.0
tensorflow-gpu==2.2.0
tensorflow-gpu-estimator==2.2.0
termcolor==1.1.0
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
tornado==6.0.4
tqdm @ file:///tmp/build/80754af9/tqdm_1596810128862/work
urllib3==1.25.10
Werkzeug==1.0.1
wincertstore==0.2
wrapt==1.12.1

============== Conda Packages ==============
# packages in environment at C:\Users\USER\MiniConda3\envs\test:
#
# Name                    Version                   Build  Channel
absl-py                   0.10.0                   pypi_0    pypi
astunparse                1.6.3                    pypi_0    pypi
blas                      1.0                         mkl  
ca-certificates 2020.7.22 0
cachetools 4.1.1 pypi_0 pypi certifi 2020.6.20 py38_0
chardet 3.0.4 pypi_0 pypi cudatoolkit 10.1.243 h74a9793_0
cudnn 7.6.5 cuda10.1_0
cycler 0.10.0 py38_0
fastcluster 1.1.26 py38hbe40bda_1 conda-forge ffmpeg 4.3.1 ha925a31_0 conda-forge ffmpy 0.2.3 pypi_0 pypi freetype 2.10.2 hd328e21_0
gast 0.3.3 pypi_0 pypi git 2.23.0 h6bb4b03_0
google-auth 1.21.2 pypi_0 pypi google-auth-oauthlib 0.4.1 pypi_0 pypi google-pasta 0.2.0 pypi_0 pypi grpcio 1.32.0 pypi_0 pypi h5py 2.10.0 pypi_0 pypi icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 2.10 pypi_0 pypi imageio 2.9.0 py_0
imageio-ffmpeg 0.4.2 py_0 conda-forge intel-openmp 2020.2 254
joblib 0.16.0 py_0
jpeg 9b hb83a4c4_2
keras-preprocessing 1.1.2 pypi_0 pypi kiwisolver 1.2.0 py38h74a9793_0
libpng 1.6.37 h2a8f88b_0
libtiff 4.1.0 h56a325e_1
lz4-c 1.9.2 h62dcd97_1
markdown 3.2.2 pypi_0 pypi matplotlib 3.2.2 0
matplotlib-base 3.2.2 py38h64f37c6_0
mkl 2020.2 256
mkl-service 2.3.0 py38hb782905_0
mkl_fft 1.2.0 py38h45dec08_0
mkl_random 1.1.1 py38h47e9c7a_0
numpy 1.19.1 py38h5510c5b_0
numpy-base 1.19.1 py38ha3acd2a_0
nvidia-ml-py3 7.352.1 pypi_0 pypi oauthlib 3.1.0 pypi_0 pypi olefile 0.46 py_0
opencv-python 4.4.0.42 pypi_0 pypi openssl 1.1.1g he774522_1
opt-einsum 3.3.0 pypi_0 pypi pathlib 1.0.1 py_1
pillow 7.2.0 py38hcc1f983_0
pip 20.2.2 py38_0
protobuf 3.13.0 pypi_0 pypi psutil 5.7.2 py38he774522_0
pyasn1 0.4.8 pypi_0 pypi pyasn1-modules 0.2.8 pypi_0 pypi pyparsing 2.4.7 py_0
pyqt 5.9.2 py38ha925a31_4
python 3.8.5 h5fd99cc_1
python-dateutil 2.8.1 py_0
python_abi 3.8 1_cp38 conda-forge pywin32 227 py38he774522_1
qt 5.9.7 vc14h73c81de_0
requests 2.24.0 pypi_0 pypi requests-oauthlib 1.3.0 pypi_0 pypi rsa 4.6 pypi_0 pypi scikit-learn 0.23.2 py38h47e9c7a_0
scipy 1.4.1 pypi_0 pypi setuptools 49.6.0 py38_0
sip 4.19.13 py38ha925a31_0
six 1.15.0 py_0
sqlite 3.33.0 h2a8f88b_0
tensorboard 2.2.2 pypi_0 pypi tensorboard-plugin-wit 1.7.0 pypi_0 pypi tensorflow-gpu 2.2.0 pypi_0 pypi tensorflow-gpu-estimator 2.2.0 pypi_0 pypi termcolor 1.1.0 pypi_0 pypi threadpoolctl 2.1.0 pyh5ca1d4c_0
tk 8.6.10 he774522_0
tornado 6.0.4 py38he774522_1
tqdm 4.48.2 py_0
urllib3 1.25.10 pypi_0 pypi vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_3
werkzeug 1.0.1 pypi_0 pypi wheel 0.35.1 py_0
wincertstore 0.2 py38_0
wrapt 1.12.1 pypi_0 pypi xz 5.2.5 h62dcd97_0
zlib 1.2.11 h62dcd97_4
zstd 1.4.5 h04227a9_0 ================= Configs ================== --------- .faceswap --------- backend: nvidia --------- convert.ini --------- [color.color_transfer] clip: True preserve_paper: True [color.manual_balance] colorspace: HSV balance_1: 0.0 balance_2: 0.0 balance_3: 0.0 contrast: 0.0 brightness: 0.0 [color.match_hist] threshold: 99.0 [mask.box_blend] type: gaussian distance: 11.0 radius: 5.0 passes: 1 [mask.mask_blend] type: normalized kernel_size: 3 passes: 4 threshold: 4 erosion: 0.0 [scaling.sharpen] method: unsharp_mask amount: 150 radius: 0.3 threshold: 5.0 [writer.ffmpeg] container: mp4 codec: libx264 crf: 23 preset: medium tune: none profile: auto level: auto skip_mux: False [writer.gif] fps: 25 loop: 0 palettesize: 256 subrectangles: False [writer.opencv] format: png draw_transparent: False jpg_quality: 75 png_compress_level: 3 [writer.pillow] format: png draw_transparent: False optimize: False gif_interlace: True jpg_quality: 75 png_compress_level: 3 tif_compression: tiff_deflate --------- extract.ini --------- [global] allow_growth: True [align.fan] batch-size: 8 [detect.cv2_dnn] confidence: 50 [detect.mtcnn] minsize: 20 threshold_1: 0.6 threshold_2: 0.7 threshold_3: 0.7 scalefactor: 0.709 batch-size: 8 [detect.s3fd] confidence: 70 batch-size: 4 [mask.unet_dfl] batch-size: 8 [mask.vgg_clear] batch-size: 6 [mask.vgg_obstructed] batch-size: 2 --------- gui.ini --------- [global] fullscreen: False tab: extract options_panel_width: 30 console_panel_height: 20 icon_size: 14 font: default font_size: 9 autosave_last_session: prompt timeout: 120 auto_load_model_stats: True --------- train.ini --------- [global] coverage: 68.75 icnr_init: False conv_aware_init: False optimizer: adam learning_rate: 5e-05 reflect_padding: False allow_growth: False mixed_precision: False convert_batchsize: 16 [global.loss] loss_function: ssim mask_loss_function: mse l2_reg_term: 100 eye_multiplier: 6 mouth_multiplier: 4 penalized_mask_loss: True mask_type: extended mask_blur_kernel: 3 mask_threshold: 4 learn_mask: False [model.dfl_h128] lowmem: False [model.dfl_sae] input_size: 128 clipnorm: True architecture: df autoencoder_dims: 0 encoder_dims: 42 decoder_dims: 21 multiscale_decoder: False [model.dlight] features: best details: good output_size: 256 [model.original] lowmem: False [model.realface] input_size: 64 output_size: 128 dense_nodes: 1536 complexity_encoder: 128 complexity_decoder: 512 [model.unbalanced] input_size: 128 lowmem: False clipnorm: True nodes: 1024 complexity_encoder: 128 complexity_decoder_a: 384 complexity_decoder_b: 512 [model.villain] lowmem: False [trainer.original] preview_images: 14 zoom_amount: 5 rotation_range: 10 shift_range: 5 flip_chance: 50 disable_warp: False color_lightness: 30 color_ab: 8 color_clahe_chance: 50 color_clahe_max_size: 4

Re: Windows Installation for NVIDIA GPU issue

Posted: Mon Sep 21, 2020 4:25 am
by bryanlyon

The cause and effect that you describe is not correct. We never use the system Cuda and don't recommend it being installed at all. Instead we install the cudatoolkit like you said is installed.

What makes you think it's not using your GPU? Is it providing an error or crashing? Or is it app.php/faqpage#f0r3 ? We need more information before we can help you.


Re: Windows Installation for NVIDIA GPU issue

Posted: Mon Sep 21, 2020 2:03 pm
by onnine

The nvidia-smi results shows 0 utilisation of the GPU. Also the estimated time for the extraction of a 4 minute video is 9 hour long.

Code: Select all

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 398.36                 Driver Version: 456.38                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name            TCC/WDDM | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce 940MX      WDDM  | 00000000:01:00.0 Off |                  N/A |
| N/A   57C    P8    N/A /  N/A |     40MiB /  4096MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
Internal error

Re: Windows Installation for NVIDIA GPU issue

Posted: Tue Sep 22, 2020 9:10 am
by torzdf

Uninstall your global versions of Cuda.


Re: Windows Installation for NVIDIA GPU issue

Posted: Tue Sep 22, 2020 7:26 pm
by onnine

I have uninstalled global versions of CUDA, then reinstalled the GPU driver and the faceswap application. But nvidia-smi still shows no usage of the GPU when I am running extraction.