Hello,
I have followed all the steps to the letter but during the training of the model, I found that the utilization rate of Intel graphics card was 100% but my NVIDIA graphics card is 0. Here is my Output system information in the faceswap GUI program:
Code: Select all
============ System Information ============
encoding: cp936
git_branch: master
git_commits: ee25a31 bugfix: setup.py - Fix issue with Conda AMD install
gpu_cuda: 11.2
gpu_cudnn: 8.1.0
gpu_devices: GPU_0: NVIDIA GeForce MX250
gpu_devices_active: GPU_0
gpu_driver: 516.94
gpu_vram: GPU_0: 2048MB
os_machine: AMD64
os_platform: Windows-10-10.0.19042-SP0
os_release: 10
py_command: C:\Users\brianyang\faceswap/faceswap.py gui
py_conda_version: conda 4.13.0
py_implementation: CPython
py_version: 3.9.12
py_virtual_env: True
sys_cores: 8
sys_processor: Intel64 Family 6 Model 142 Stepping 12, GenuineIntel
sys_ram: Total: 8075MB, Available: 3526MB, Used: 4548MB, Free: 3526MB
=============== Pip Packages ===============
absl-py==1.2.0
astunparse==1.6.3
cachetools==5.2.0
certifi @ file:///C:/Windows/TEMP/abs_e9b7158a-aa56-4a5b-87b6-c00d295b01fanefpc8_o/croots/recipe/certifi_1655968940823/work/certifi
charset-normalizer==2.1.0
cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1632508026186/work
colorama @ file:///C:/Windows/TEMP/abs_9439aeb1-0254-449a-96f7-33ab5eb17fc8apleb4yn/croots/recipe/colorama_1657009099097/work
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
decorator @ file:///opt/conda/conda-bld/decorator_1643638310831/work
dm-tree==0.1.5
fastcluster @ file:///D:/bld/fastcluster_1649783471014/work
ffmpy==0.3.0
flatbuffers==1.12
fonttools==4.25.0
gast @ file:///tmp/build/80754af9/gast_1637837472536/work
google-auth==2.10.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.48.0
h5py==3.7.0
idna==3.3
imageio @ file:///C:/Windows/TEMP/abs_24c1b783-7540-4ca9-a1b1-0e8aa8e6ae64hb79ssux/croots/recipe/imageio_1658785038775/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1649960641006/work
importlib-metadata==4.12.0
joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1633637554808/work
keras==2.9.0
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/ci/kiwisolver_1653292407425/work
libclang==14.0.6
Markdown==3.4.1
MarkupSafe==2.1.1
matplotlib @ file:///C:/ci/matplotlib-suite_1647423638658/work
mkl-fft==1.3.1
mkl-random @ file:///C:/ci/mkl_random_1626186184308/work
mkl-service==2.4.0
munkres==1.1.4
numpy @ file:///C:/Windows/Temp/abs_2a1e1vbeag/croots/recipe/numpy_and_numpy_base_1659432712056/work
nvidia-ml-py==11.515.48
oauthlib==3.2.0
opencv-python==4.6.0.66
opt-einsum==3.3.0
packaging @ file:///tmp/build/80754af9/packaging_1637314298585/work
Pillow==9.2.0
ply==3.11
prettytable==3.3.0
protobuf==3.19.4
psutil @ file:///C:/Windows/Temp/abs_b2c2fd7f-9fd5-4756-95ea-8aed74d0039flsd9qufz/croots/recipe/psutil_1656431277748/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyecharts==1.9.1
pyparsing @ file:///tmp/build/80754af9/pyparsing_1635766073266/work
PyQt5==5.15.7
PyQt5-sip @ file:///C:/Windows/Temp/abs_d7gmd2jg8i/croots/recipe/pyqt-split_1659273064801/work/pyqt_sip
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==302
pywinpty @ file:///C:/ci_310/pywinpty_1644230983541/work/target/wheels/pywinpty-2.0.2-cp39-none-win_amd64.whl
requests==2.28.1
requests-oauthlib==1.3.1
rsa==4.9
scikit-learn @ file:///D:/bld/scikit-learn_1659726281030/work
scipy @ file:///C:/bld/scipy_1658811088396/work
shell==1.0.1
simplejson==3.17.6
sip @ file:///C:/Windows/Temp/abs_b8fxd17m2u/croots/recipe/sip_1659012372737/work
six @ file:///tmp/build/80754af9/six_1644875935023/work
sysinfo==1.0.0
tensorboard==2.9.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow-estimator==2.9.0
tensorflow-gpu==2.9.1
tensorflow-io-gcs-filesystem==0.26.0
tensorflow-probability @ file:///tmp/build/80754af9/tensorflow-probability_1633017132682/work
termcolor==1.1.0
threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1643647933166/work
toml @ file:///tmp/build/80754af9/toml_1616166611790/work
tornado @ file:///C:/ci/tornado_1606924294691/work
tqdm @ file:///C:/ci/tqdm_1650636210717/work
tweepy==4.10.0
typing_extensions @ file:///C:/Windows/TEMP/abs_dd2d0moa85/croots/recipe/typing_extensions_1659638831135/work
urllib3==1.26.11
Werkzeug==2.2.2
wincertstore==0.2
wordcloud==1.8.2.2
wrapt==1.14.1
zipp==3.8.1
============== Conda Packages ==============
# packages in environment at E:\Anaconda\envs\faceswap:
#
# Name Version Build Channel
absl-py 1.2.0 pypi_0 pypi
aom 3.4.0 h0e60522_1 conda-forge
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl defaults
brotli 1.0.9 h2bbff1b_7 defaults
brotli-bin 1.0.9 h2bbff1b_7 defaults
bzip2 1.0.8 h8ffe710_4 conda-forge
ca-certificates 2022.07.19 haa95532_0 defaults
cachetools 5.2.0 pypi_0 pypi
certifi 2022.6.15 py39haa95532_0 defaults
charset-normalizer 2.1.0 pypi_0 pypi
cloudpickle 2.0.0 pyhd3eb1b0_0 defaults
colorama 0.4.5 py39haa95532_0 defaults
cudatoolkit 11.3.1 h59b6b97_2 defaults
cudnn 8.2.1 cuda11.3_0 defaults
cycler 0.11.0 pyhd3eb1b0_0 defaults
decorator 5.1.1 pyhd3eb1b0_0 defaults
dm-tree 0.1.5 py39hf11a4ad_0 defaults
expat 2.4.8 h39d44d4_0 conda-forge
fastcluster 1.2.6 py39h2e25243_1 conda-forge
ffmpeg 5.1.0 gpl_h36dc936_101 conda-forge
ffmpy 0.3.0 pypi_0 pypi
flatbuffers 1.12 pypi_0 pypi
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.0 hce3cb01_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.25.0 pyhd3eb1b0_0 defaults
freetype 2.10.4 hd328e21_0 defaults
gast 0.4.0 pypi_0 pypi
git 2.34.1 haa95532_0 defaults
glib 2.69.1 h5dc1a3c_1 defaults
google-auth 2.10.0 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.48.0 pypi_0 pypi
gst-plugins-base 1.18.5 h9e645db_0 defaults
gstreamer 1.18.5 hd78058f_0 defaults
h5py 3.7.0 pypi_0 pypi
icu 58.2 ha925a31_3 defaults
idna 3.3 pypi_0 pypi
imageio 2.19.3 py39haa95532_0 defaults
imageio-ffmpeg 0.4.7 pyhd8ed1ab_0 conda-forge
importlib-metadata 4.12.0 pypi_0 pypi
intel-openmp 2021.4.0 haa95532_3556 defaults
joblib 1.1.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h2bbff1b_0 defaults
keras 2.9.0 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.4.2 py39hd77b12b_0 defaults
libblas 3.9.0 1_h8933c1f_netlib conda-forge
libbrotlicommon 1.0.9 h2bbff1b_7 defaults
libbrotlidec 1.0.9 h2bbff1b_7 defaults
libbrotlienc 1.0.9 h2bbff1b_7 defaults
libcblas 3.9.0 5_hd5c7e75_netlib conda-forge
libclang 14.0.6 pypi_0 pypi
libffi 3.4.2 hd77b12b_4 defaults
libiconv 1.16 h2bbff1b_2 defaults
liblapack 3.9.0 5_hd5c7e75_netlib conda-forge
libogg 1.3.5 h2bbff1b_1 defaults
libpng 1.6.37 h2a8f88b_0 defaults
libtiff 4.2.0 he0120a3_1 defaults
libvorbis 1.3.7 he774522_0 defaults
libwebp 1.2.2 h2bbff1b_0 defaults
libxml2 2.9.14 h0ad7f3c_0 defaults
libxslt 1.1.35 h2bbff1b_0 defaults
libzlib 1.2.12 h8ffe710_2 conda-forge
lz4-c 1.9.3 h2bbff1b_1 defaults
m2w64-gcc-libgfortran 5.3.0 6 conda-forge
m2w64-gcc-libs 5.3.0 7 conda-forge
m2w64-gcc-libs-core 5.3.0 7 conda-forge
m2w64-gmp 6.1.0 2 conda-forge
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 conda-forge
markdown 3.4.1 pypi_0 pypi
markupsafe 2.1.1 pypi_0 pypi
matplotlib 3.5.1 py39haa95532_1 defaults
matplotlib-base 3.5.1 py39hd77b12b_1 defaults
mkl 2021.4.0 haa95532_640 defaults
mkl-service 2.4.0 py39h2bbff1b_0 defaults
mkl_fft 1.3.1 py39h277e83a_0 defaults
mkl_random 1.2.2 py39hf11a4ad_0 defaults
msys2-conda-epoch 20160418 1 conda-forge
munkres 1.1.4 py_0 defaults
numpy 1.23.1 py39h7a0a035_0 defaults
numpy-base 1.23.1 py39hca35cd5_0 defaults
nvidia-ml-py 11.515.48 pypi_0 pypi
opencv-python 4.6.0.66 pypi_0 pypi
openh264 2.3.0 h0e60522_0 conda-forge
openssl 1.1.1q h2bbff1b_0 defaults
opt-einsum 3.3.0 pypi_0 pypi
packaging 21.3 pyhd3eb1b0_0 defaults
pcre 8.45 hd77b12b_0 defaults
pillow 9.2.0 py39hdc2b20a_1 defaults
pip 22.1.2 py39haa95532_0 defaults
ply 3.11 py39haa95532_0 defaults
protobuf 3.19.4 pypi_0 pypi
psutil 5.9.0 py39h2bbff1b_0 defaults
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pyparsing 3.0.4 pyhd3eb1b0_0 defaults
pyqt 5.15.7 py39hd77b12b_0 defaults
pyqt5-sip 12.11.0 py39hd77b12b_0 defaults
python 3.9.12 h6244533_0 defaults
python-dateutil 2.8.2 pyhd3eb1b0_0 defaults
python_abi 3.9 2_cp39 conda-forge
pywin32 302 py39h2bbff1b_2 defaults
pywinpty 2.0.2 py39h5da7b33_0 defaults
qt-main 5.15.2 he8e5bd7_7 defaults
qt-webengine 5.15.9 hb9a9bb5_4 defaults
qtwebkit 5.212 h3ad3cdb_4 defaults
requests 2.28.1 pypi_0 pypi
rsa 4.9 pypi_0 pypi
scikit-learn 1.1.2 py39hfd4428b_0 conda-forge
scipy 1.8.1 py39h5567194_2 conda-forge
setuptools 61.2.0 py39haa95532_0 defaults
sip 6.6.2 py39hd77b12b_0 defaults
six 1.16.0 pyhd3eb1b0_1 defaults
sqlite 3.39.2 h2bbff1b_0 defaults
svt-av1 1.2.0 h0e60522_0 conda-forge
tensorboard 2.9.1 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
tensorflow-estimator 2.9.0 pypi_0 pypi
tensorflow-gpu 2.9.1 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.26.0 pypi_0 pypi
tensorflow-probability 0.14.0 pyhd3eb1b0_0 defaults
termcolor 1.1.0 pypi_0 pypi
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tk 8.6.12 h2bbff1b_0 defaults
toml 0.10.2 pyhd3eb1b0_0 defaults
tornado 6.1 py39h2bbff1b_0 defaults
tqdm 4.64.0 py39haa95532_0 defaults
typing-extensions 4.3.0 py39haa95532_0 defaults
typing_extensions 4.3.0 py39haa95532_0 defaults
tzdata 2022a hda174b7_0 defaults
urllib3 1.26.11 pypi_0 pypi
vc 14.2 h21ff451_1 defaults
vs2015_runtime 14.27.29016 h5e58377_2 defaults
werkzeug 2.2.2 pypi_0 pypi
wheel 0.37.1 pyhd3eb1b0_0 defaults
wincertstore 0.2 py39haa95532_2 defaults
winpty 0.4.3 4 defaults
wrapt 1.14.1 pypi_0 pypi
x264 1!164.3095 h8ffe710_2 conda-forge
x265 3.5 h2d74725_3 conda-forge
xz 5.2.5 h8cc25b3_1 defaults
zipp 3.8.1 pypi_0 pypi
zlib 1.2.12 h8cc25b3_2 defaults
zstd 1.5.2 h19a0ad4_0 defaults
================= 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.mask_blend]
type: normalized
kernel_size: 3
passes: 4
threshold: 4
erosion: 0.0
erosion_top: 0.0
erosion_bottom: 0.0
erosion_left: 0.0
erosion_right: 0.0
[scaling.sharpen]
method: none
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
separate_mask: False
jpg_quality: 75
png_compress_level: 3
[writer.pillow]
format: png
draw_transparent: False
separate_mask: 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
scalefactor: 0.709
batch-size: 8
cpu: True
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
[detect.s3fd]
confidence: 70
batch-size: 4
[mask.bisenet_fp]
batch-size: 8
cpu: False
weights: faceswap
include_ears: False
include_hair: False
include_glasses: True
[mask.custom]
batch-size: 8
centering: face
fill: False
[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]
centering: face
coverage: 87.5
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
epsilon_exponent: -7
autoclip: False
reflect_padding: False
allow_growth: False
mixed_precision: False
nan_protection: True
convert_batchsize: 16
[global.loss]
loss_function: ssim
loss_function_2: mse
loss_weight_2: 100
loss_function_3: none
loss_weight_3: 0
loss_function_4: none
loss_weight_4: 0
mask_loss_function: mse
eye_multiplier: 3
mouth_multiplier: 2
penalized_mask_loss: True
mask_type: extended
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
[model.dfaker]
output_size: 128
[model.dfl_h128]
lowmem: False
[model.dfl_sae]
input_size: 128
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.phaze_a]
output_size: 128
shared_fc: none
enable_gblock: True
split_fc: True
split_gblock: False
split_decoders: False
enc_architecture: fs_original
enc_scaling: 7
enc_load_weights: True
bottleneck_type: dense
bottleneck_norm: none
bottleneck_size: 1024
bottleneck_in_encoder: True
fc_depth: 1
fc_min_filters: 1024
fc_max_filters: 1024
fc_dimensions: 4
fc_filter_slope: -0.5
fc_dropout: 0.0
fc_upsampler: upsample2d
fc_upsamples: 1
fc_upsample_filters: 512
fc_gblock_depth: 3
fc_gblock_min_nodes: 512
fc_gblock_max_nodes: 512
fc_gblock_filter_slope: -0.5
fc_gblock_dropout: 0.0
dec_upscale_method: subpixel
dec_upscales_in_fc: 0
dec_norm: none
dec_min_filters: 64
dec_max_filters: 512
dec_slope_mode: full
dec_filter_slope: -0.45
dec_res_blocks: 1
dec_output_kernel: 5
dec_gaussian: True
dec_skip_last_residual: True
freeze_layers: keras_encoder
load_layers: encoder
fs_original_depth: 4
fs_original_min_filters: 128
fs_original_max_filters: 1024
fs_original_use_alt: False
mobilenet_width: 1.0
mobilenet_depth: 1
mobilenet_dropout: 0.001
mobilenet_minimalistic: 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
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
When training the model,My nvidia-smi shows the allocated GPU memory is 0 and GPU utilization always shows 0%
Code: Select all
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 516.94 Driver Version: 516.94 CUDA Version: 11.7 |
|-------------------------------+----------------------+----------------------+
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... WDDM | 00000000:01:00.0 Off | N/A |
| N/A 68C P0 N/A / N/A | 0MiB / 2048MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 1300 C+G C:\Windows\System32\dwm.exe N/A |
| 0 N/A N/A 4544 C+G ...8bbwe\Microsoft.Notes.exe N/A |
| 0 N/A N/A 6408 C+G ...8wekyb3d8bbwe\GameBar.exe N/A |
| 0 N/A N/A 7728 C+G ...nputApp\TextInputHost.exe N/A |
| 0 N/A N/A 10104 C+G ...5n1h2txyewy\SearchApp.exe N/A |
| 0 N/A N/A 10540 C+G ...cw5n1h2txyewy\LockApp.exe N/A |
| 0 N/A N/A 12092 C+G ...e\PhoneExperienceHost.exe N/A |
| 0 N/A N/A 13072 C+G ...8wekyb3d8bbwe\Cortana.exe N/A |
+-----------------------------------------------------------------------------+
I've reinstalled all the program but it can't help.
I hope there is a solution