GPU Not being Used
Hello,
I installed face swap for my Windows 10 system and while I have it running, it is not utilizing the meager 1030 2GB GDDR5 NVIDIA GPU I have. It is running fine via the CPU but I don't want it constantly running near 100% I have verified the GPU is not working in CUDA view under task manager.
I have updated Windows, I have updated my NVIDIA graphics card to the most recent driver, and I have reinstalled face swap. I read the entire download and there appeared to be no problems.
Despite instructions on the forum, I have been unable to obtain any information from the GUI "Output system information" (nothing happens and I can't find an output anywhere) nor have I had luck with the command prompt command. I do have a crash log however.
The program states "setting backend to NVIDIA," The crash log states that "Tenserflow GPU - == 2.8.2" and under "Conda packages" cudnn and cudatoolkit are installed. I don't see any references to "conda cuda" by itself. Last, no global packages are listed for gpu : cuda or gpu: cudnn.
Any idea what could be wrong? Based upon other posts I have read, most everything seems to be in order. I am not sure about the lack of "condu cuda" under "conda packages."
Not sure why the processor is listed as an AMD as I have an Intel chip.
Thank you.
[media]
Code: Select all
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: 9945efb Bugfix: Phaze-A Fix learn mask for upscales in FC
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: NVIDIA GeForce GT 1030
gpu_devices_active: GPU_0
gpu_driver: 471.41
gpu_vram: GPU_0: 2048MB
os_machine: AMD64
os_platform: Windows-10-10.0.19044-SP0
os_release: 10
py_command: C:\Users\cpwan\faceswap\faceswap.py train -A E:/Fakes A/Faces -B E:/Fakes Megan B/faces -m E:/Model Megan -t original -bs 10 -it 1000000 -s 10 -ss 25000 -L INFO -LF E:/Fakes saved config for model/log file friday.log -gui
py_conda_version: conda 4.13.0
py_implementation: CPython
py_version: 3.9.12
py_virtual_env: True
sys_cores: 2
sys_processor: Intel64 Family 6 Model 94 Stepping 3, GenuineIntel
sys_ram: Total: 8145MB, Available: 3337MB, Used: 4807MB, Free: 3337MB
=============== Pip Packages ===============
absl-py==1.1.0
astunparse==1.6.3
cachetools==5.2.0
certifi==2022.6.15
charset-normalizer==2.1.0
cloudpickle==2.1.0
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==5.1.1
dm-tree==0.1.7
fastcluster @ file:///D:/bld/fastcluster_1649783471014/work
ffmpy==0.2.3
flatbuffers==2.0
fonttools==4.25.0
gast==0.5.3
google-auth==2.9.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.47.0
h5py==3.7.0
idna==3.3
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1649960641006/work
importlib-metadata==4.12.0
joblib @ file:///tmp/build/80754af9/joblib_1635411271373/work
keras==2.8.0
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/ci/kiwisolver_1653292407425/work
libclang==14.0.1
Markdown==3.3.7
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:/ci/numpy_and_numpy_base_1652784039997/work
nvidia-ml-py==11.510.69
oauthlib==3.2.0
opencv-python==4.6.0.66
opt-einsum==3.3.0
packaging @ file:///tmp/build/80754af9/packaging_1637314298585/work
Pillow==9.0.1
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
pyparsing @ file:///tmp/build/80754af9/pyparsing_1635766073266/work
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==302
requests==2.28.1
requests-oauthlib==1.3.1
rsa==4.8
scikit-learn @ file:///C:/ci/scikit-learn_1642617276183/work
scipy @ file:///C:/ci/scipy_1641555170412/work
sip==4.19.13
six @ file:///tmp/build/80754af9/six_1644875935023/work
tensorboard==2.8.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow-estimator==2.8.0
tensorflow-gpu==2.8.2
tensorflow-io-gcs-filesystem==0.26.0
tensorflow-probability==0.16.0
termcolor==1.1.0
threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1629802263681/work
tornado @ file:///C:/ci/tornado_1606924294691/work
tqdm @ file:///C:/ci/tqdm_1650636210717/work
typing_extensions @ file:///opt/conda/conda-bld/typing_extensions_1647553014482/work
urllib3==1.26.10
Werkzeug==2.1.2
wincertstore==0.2
wrapt==1.14.1
zipp==3.8.0
============== Conda Packages ==============
# packages in environment at C:\Users\cpwan\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
absl-py 1.1.0 pypi_0 pypi
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl
brotli 1.0.9 ha925a31_2
ca-certificates 2022.6.15 h5b45459_0 conda-forge
cachetools 5.2.0 pypi_0 pypi
certifi 2022.6.15 py39hcbf5309_0 conda-forge
charset-normalizer 2.1.0 pypi_0 pypi
cloudpickle 2.1.0 pypi_0 pypi
colorama 0.4.5 py39haa95532_0
cudatoolkit 11.2.2 h933977f_10 conda-forge
cudnn 8.1.0.77 h3e0f4f4_0 conda-forge
cycler 0.11.0 pyhd3eb1b0_0
decorator 5.1.1 pypi_0 pypi
dm-tree 0.1.7 pypi_0 pypi
fastcluster 1.2.6 py39h2e25243_1 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.2.3 pypi_0 pypi
flatbuffers 2.0 pypi_0 pypi
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.10.4 hd328e21_0
gast 0.5.3 pypi_0 pypi
git 2.34.1 haa95532_0
google-auth 2.9.0 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.47.0 pypi_0 pypi
h5py 3.7.0 pypi_0 pypi
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 3.3 pypi_0 pypi
imageio 2.9.0 pyhd3eb1b0_0
imageio-ffmpeg 0.4.7 pyhd8ed1ab_0 conda-forge
importlib-metadata 4.12.0 pypi_0 pypi
intel-openmp 2021.4.0 haa95532_3556
joblib 1.1.0 pyhd3eb1b0_0
jpeg 9e h2bbff1b_0
keras 2.8.0 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.4.2 py39hd77b12b_0
libclang 14.0.1 pypi_0 pypi
libpng 1.6.37 h2a8f88b_0
libtiff 4.2.0 he0120a3_1
libwebp 1.2.2 h2bbff1b_0
lz4-c 1.9.3 h2bbff1b_1
markdown 3.3.7 pypi_0 pypi
matplotlib 3.5.1 py39haa95532_1
matplotlib-base 3.5.1 py39hd77b12b_1
mkl 2021.4.0 haa95532_640
mkl-service 2.4.0 py39h2bbff1b_0
mkl_fft 1.3.1 py39h277e83a_0
mkl_random 1.2.2 py39hf11a4ad_0
munkres 1.1.4 py_0
numpy 1.22.3 py39h7a0a035_0
numpy-base 1.22.3 py39hca35cd5_0
nvidia-ml-py 11.510.69 pypi_0 pypi
oauthlib 3.2.0 pypi_0 pypi
opencv-python 4.6.0.66 pypi_0 pypi
openssl 1.1.1q h8ffe710_0 conda-forge
opt-einsum 3.3.0 pypi_0 pypi
packaging 21.3 pyhd3eb1b0_0
pillow 9.0.1 py39hdc2b20a_0
pip 21.2.4 py39haa95532_0
protobuf 3.19.4 pypi_0 pypi
psutil 5.9.0 py39h2bbff1b_0
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pyparsing 3.0.4 pyhd3eb1b0_0
pyqt 5.9.2 py39hd77b12b_6
python 3.9.12 h6244533_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.9 2_cp39 conda-forge
pywin32 302 py39h2bbff1b_2
qt 5.9.7 vc14h73c81de_0
requests 2.28.1 pypi_0 pypi
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.8 pypi_0 pypi
scikit-learn 1.0.2 py39hf11a4ad_1
scipy 1.7.3 py39h0a974cb_0
setuptools 61.2.0 py39haa95532_0
sip 4.19.13 py39hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.38.5 h2bbff1b_0
tensorboard 2.8.0 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
tensorflow-estimator 2.8.0 pypi_0 pypi
tensorflow-gpu 2.8.2 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.26.0 pypi_0 pypi
tensorflow-probability 0.16.0 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
threadpoolctl 2.2.0 pyh0d69192_0
tk 8.6.12 h2bbff1b_0
tornado 6.1 py39h2bbff1b_0
tqdm 4.64.0 py39haa95532_0
typing-extensions 4.1.1 hd3eb1b0_0
typing_extensions 4.1.1 pyh06a4308_0
tzdata 2022a hda174b7_0
urllib3 1.26.10 pypi_0 pypi
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 2.1.2 pypi_0 pypi
wheel 0.37.1 pyhd3eb1b0_0
wincertstore 0.2 py39haa95532_2
wrapt 1.14.1 pypi_0 pypi
xz 5.2.5 h8cc25b3_1
zipp 3.8.0 pypi_0 pypi
zlib 1.2.12 h8cc25b3_2
zstd 1.5.2 h19a0ad4_0
=============== State File =================