Setup questions about gpu

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ericpan0513
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Setup questions about gpu

Post by ericpan0513 »

I was installing faceswap on anaconda, following the instructions on github. However I found out that I could not enable my GPU, which is a GTX1060-6g, but only using CPU. I'm pretty sure that I installed it correctly. When I type in "python faceswap.py gui", it says "Setting Faceswap backend to NVIDIA", but I still cannot run it on GPU. I'm not sure if I did something wrong? Can anyone helps? Thanks!
BTW when I use the installer and choose Nvidia GPU option, it works. (but I still want to figure out what's the solution because the computer I'm using now isn't able to use the installer)

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torzdf
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Re: Setup questions about gpu

Post by torzdf »

Please can you post the output of "Help > Show System Information'

Why is your computer unable to use the installer?

My word is final

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ericpan0513
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Re: Setup questions about gpu

Post by ericpan0513 »

Code: Select all

============ System Information ============
encoding:            cp950
git_branch:          master
git_commits:         3fd26b5 Manual Tool (#1038)
gpu_cuda:            No global version found. Check Conda packages for Conda Cuda
gpu_cudnn:           No global version found. Check Conda packages for Conda cuDNN
gpu_devices:         GPU_0: P106-100
gpu_devices_active:  GPU_0
gpu_driver:          451.67
gpu_vram:            GPU_0: 6077MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.18362-SP0
os_release:          10
py_command:          faceswap.py gui
py_conda_version:    conda 4.8.3
py_implementation:   CPython
py_version:          3.7.7
py_virtual_env:      True
sys_cores:           8
sys_processor:       Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
sys_ram:             Total: 16280MB, Available: 10088MB, Used: 6192MB, Free: 10088MB

=============== Pip Packages ===============
absl-py==0.9.0
astor==0.8.1
certifi==2020.6.20
cycler==0.10.0
decorator==4.4.2
fastcluster==1.1.26
ffmpy==0.2.3
gast==0.2.2
google-pasta==0.2.0
grpcio==1.30.0
h5py==2.10.0
imageio==2.9.0
imageio-ffmpeg==0.4.2
importlib-metadata==1.7.0
joblib==0.16.0
Keras==2.2.4
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.2
kiwisolver==1.2.0
Markdown==3.2.2
matplotlib==3.3.0
networkx==2.4
numpy==1.19.1
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
opencv-python==4.3.0.36
opt-einsum==3.3.0
pathlib==1.0.1
Pillow==7.2.0
protobuf==3.12.4
psutil==5.7.2
pyparsing==2.4.7
python-dateutil==2.8.1
PyWavelets==1.1.1
pywin32==228
PyYAML==5.3.1
scikit-image==0.17.2
scikit-learn==0.23.1
scipy==1.5.2
six==1.15.0
tensorboard==1.15.0
tensorflow-estimator==1.15.1
tensorflow-gpu==1.15.3
termcolor==1.1.0
threadpoolctl==2.1.0
tifffile==2020.7.24
toposort==1.5
tqdm==4.48.0
Werkzeug==1.0.1
wincertstore==0.2
wrapt==1.12.1
zipp==3.1.0

============== Conda Packages ==============
# packages in environment at C:\Users\ericpan\Anaconda3\envs\fs:
#
# Name                    Version                   Build  Channel
absl-py                   0.9.0                    pypi_0    pypi
astor                     0.8.1                    pypi_0    pypi
ca-certificates           2020.6.24                     0  
certifi 2020.6.20 py37_0
cudatoolkit 10.2.89 h74a9793_1
cudnn 7.6.5 cuda10.2_0
cycler 0.10.0 pypi_0 pypi decorator 4.4.2 pypi_0 pypi fastcluster 1.1.26 pypi_0 pypi ffmpy 0.2.3 pypi_0 pypi gast 0.2.2 pypi_0 pypi google-pasta 0.2.0 pypi_0 pypi grpcio 1.30.0 pypi_0 pypi h5py 2.10.0 pypi_0 pypi imageio 2.9.0 pypi_0 pypi imageio-ffmpeg 0.4.2 pypi_0 pypi importlib-metadata 1.7.0 pypi_0 pypi joblib 0.16.0 pypi_0 pypi keras 2.2.4 pypi_0 pypi keras-applications 1.0.8 pypi_0 pypi keras-preprocessing 1.1.2 pypi_0 pypi kiwisolver 1.2.0 pypi_0 pypi markdown 3.2.2 pypi_0 pypi matplotlib 3.3.0 pypi_0 pypi networkx 2.4 pypi_0 pypi numpy 1.19.1 pypi_0 pypi nvidia-ml-py3 7.352.1 pypi_0 pypi opencv-python 4.3.0.36 pypi_0 pypi openssl 1.1.1g he774522_0
opt-einsum 3.3.0 pypi_0 pypi pathlib 1.0.1 pypi_0 pypi pillow 7.2.0 pypi_0 pypi pip 20.1.1 py37_1
protobuf 3.12.4 pypi_0 pypi psutil 5.7.2 pypi_0 pypi pyparsing 2.4.7 pypi_0 pypi python 3.7.7 h81c818b_4
python-dateutil 2.8.1 pypi_0 pypi pywavelets 1.1.1 pypi_0 pypi pywin32 228 pypi_0 pypi pyyaml 5.3.1 pypi_0 pypi scikit-image 0.17.2 pypi_0 pypi scikit-learn 0.23.1 pypi_0 pypi scipy 1.5.2 pypi_0 pypi setuptools 49.2.0 py37_0
six 1.15.0 pypi_0 pypi sqlite 3.32.3 h2a8f88b_0
tensorboard 1.15.0 pypi_0 pypi tensorflow-estimator 1.15.1 pypi_0 pypi tensorflow-gpu 1.15.3 pypi_0 pypi termcolor 1.1.0 pypi_0 pypi threadpoolctl 2.1.0 pypi_0 pypi tifffile 2020.7.24 pypi_0 pypi tk 8.6.10 he774522_0
toposort 1.5 pypi_0 pypi tqdm 4.48.0 pypi_0 pypi vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_3
werkzeug 1.0.1 pypi_0 pypi wheel 0.34.2 py37_0
wincertstore 0.2 py37_0
wrapt 1.12.1 pypi_0 pypi zipp 3.1.0 pypi_0 pypi zlib 1.2.11 h62dcd97_4 ================= 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 [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: False [align.fan] batch-size: 12 [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 mask_type: none mask_blur_kernel: 3 mask_threshold: 4 learn_mask: False icnr_init: False conv_aware_init: False reflect_padding: False penalized_mask_loss: True loss_function: mae learning_rate: 5e-05 [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 color_lightness: 30 color_ab: 8 color_clahe_chance: 50 color_clahe_max_size: 4

The gpu-cuda and gpu-cudnn both are the same situation when I successfully trained it using the installer one, so I'm not sure if that's the problem.
The computer thing is a long story, but the problem is on the computer but not the installer.
Thank you!

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abigflea
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Re: Setup questions about gpu

Post by abigflea »

Those mining cards will work. Curious.

:o I dunno what I'm doing :shock:
2X RTX 3090 : RTX 3080 : RTX: 2060 : 2x RTX 2080 Super : Ghetto 1060

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ericpan0513
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Re: Setup questions about gpu

Post by ericpan0513 »

Is this about mining card? Because this also happened on my other laptop with a GTX1060-6g.

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