Quadro K2000M Problem

Talk about Hardware used for Deep Learning


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Taifun
Posts: 5
Joined: Mon Mar 01, 2021 7:46 pm

Quadro K2000M Problem

Post by Taifun »

Hello, I have a problem with my gpu. It is a Quadro K2000M and Faceswap will not use it.
It has a Compute Capability 3.0 so therefore I have tried Faceswap 1.0 but without success.
Is there anything else I can do?
And here are the System Informations...

Code: Select all

============ System Information ============
encoding:            cp1252
git_branch:          r1.0
git_commits:         a4ccfc6 GUI - Remove Switch Branch option Installers - Pin to r1.0
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: Quadro K2000M
gpu_devices_active:  GPU_0
gpu_driver:          382.16
gpu_vram:            GPU_0: 2048MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.19041-SP0
os_release:          10
py_command:          C:\Users\Arbeitssklave\faceswap/faceswap.py gui
py_conda_version:    conda 4.9.2
py_implementation:   CPython
py_version:          3.7.9
py_virtual_env:      True
sys_cores:           4
sys_processor:       Intel64 Family 6 Model 58 Stepping 9, GenuineIntel
sys_ram:             Total: 16285MB, Available: 13345MB, Used: 2939MB, Free: 13345MB

=============== Pip Packages ===============
absl-py @ file:///tmp/build/80754af9/absl-py_1607439979954/work
astor==0.8.1
certifi==2020.12.5
cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1598884132938/work
cycler==0.10.0
cytoolz==0.11.0
dask @ file:///tmp/build/80754af9/dask-core_1611341281313/work
decorator @ file:///home/ktietz/src/ci/decorator_1611930055503/work
fastcluster==1.1.26
ffmpy==0.2.3
gast==0.2.2
google-pasta==0.2.0
grpcio @ file:///C:/ci/grpcio_1597406403308/work
h5py==2.10.0
imagecodecs @ file:///C:/ci/imagecodecs_1611243754207/work
imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1609799311556/work
importlib-metadata @ file:///tmp/build/80754af9/importlib-metadata_1602276842396/work
joblib @ file:///tmp/build/80754af9/joblib_1607970656719/work
Keras==2.2.4
Keras-Applications @ file:///tmp/build/80754af9/keras-applications_1594366238411/work
Keras-Preprocessing @ file:///tmp/build/80754af9/keras-preprocessing_1612283640596/work
kiwisolver @ file:///C:/ci/kiwisolver_1612282618948/work
Markdown @ file:///C:/ci/markdown_1605111187600/work
matplotlib @ file:///C:/ci/matplotlib-base_1603356257853/work
mkl-fft==1.2.0
mkl-random==1.1.1
mkl-service==2.3.0
networkx @ file:///tmp/build/80754af9/networkx_1598376031484/work
numpy @ file:///C:/ci/numpy_and_numpy_base_1603468620949/work
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
olefile==0.46
opencv-python==4.5.1.48
opt-einsum==3.1.0
Pillow @ file:///C:/ci/pillow_1609786872067/work
protobuf==3.14.0
psutil @ file:///C:/ci/psutil_1612298033174/work
pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work
pyreadline==2.1
python-dateutil @ file:///home/ktietz/src/ci/python-dateutil_1611928101742/work
PyWavelets @ file:///C:/ci/pywavelets_1601658407053/work
pywin32==227
PyYAML==5.4.1
scikit-image==0.17.2
scikit-learn @ file:///C:/ci/scikit-learn_1598376983131/work
scipy @ file:///C:/ci/scipy_1612469765256/work
six @ file:///C:/ci/six_1605205426665/work
tensorboard==2.0.0
tensorflow==1.15.0
tensorflow-estimator==1.15.1
termcolor==1.1.0
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
tifffile @ file:///tmp/build/80754af9/tifffile_1610739638720/work
toolz @ file:///home/linux1/recipes/ci/toolz_1610987900194/work
toposort==1.5
tornado @ file:///C:/ci/tornado_1606935947090/work
tqdm @ file:///tmp/build/80754af9/tqdm_1611857934208/work
Werkzeug==0.16.1
wincertstore==0.2
wrapt==1.12.1
zipp @ file:///tmp/build/80754af9/zipp_1604001098328/work

============== Conda Packages ==============
# packages in environment at C:\Users\Arbeitssklave\MiniConda3\envs\faceswap:
#
# Name                    Version                   Build  Channel
_tflow_select             2.1.0                       gpu  
absl-py 0.11.0 pyhd3eb1b0_1
astor 0.8.1 py37haa95532_0
blas 1.0 mkl
blosc 1.20.1 h7bd577a_0
brotli 1.0.9 ha925a31_2
bzip2 1.0.8 he774522_0
ca-certificates 2021.1.19 haa95532_0
certifi 2020.12.5 py37haa95532_0
charls 2.1.0 h33f27b4_2
cloudpickle 1.6.0 py_0
cudatoolkit 10.0.130 0
cudnn 7.6.5 cuda10.0_0
cycler 0.10.0 py37_0
cytoolz 0.11.0 py37he774522_0
dask-core 2021.1.1 pyhd3eb1b0_0
decorator 4.4.2 pyhd3eb1b0_0
fastcluster 1.1.26 py37h414f9d2_2 conda-forge ffmpeg 4.3.1 ha925a31_0 conda-forge ffmpy 0.2.3 pypi_0 pypi freetype 2.10.4 hd328e21_0
gast 0.2.2 py37_0
giflib 5.2.1 h62dcd97_0
git 2.23.0 h6bb4b03_0
google-pasta 0.2.0 py_0
grpcio 1.31.0 py37he7da953_0
h5py 2.10.0 py37h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
imagecodecs 2021.1.11 py37h5da4933_1
imageio 2.9.0 py_0
imageio-ffmpeg 0.4.3 pyhd8ed1ab_0 conda-forge importlib-metadata 2.0.0 py_1
intel-openmp 2020.2 254
joblib 1.0.0 pyhd3eb1b0_0
jpeg 9b hb83a4c4_2
keras 2.2.4 0
keras-applications 1.0.8 py_1
keras-base 2.2.4 py37_0
keras-preprocessing 1.1.2 pyhd3eb1b0_0
kiwisolver 1.3.1 py37hd77b12b_0
lcms2 2.11 hc51a39a_0
lerc 2.2.1 hd77b12b_0
libaec 1.0.4 h33f27b4_1
libdeflate 1.7 h2bbff1b_5
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.14.0 h23ce68f_0
libtiff 4.1.0 h56a325e_1
libzopfli 1.0.3 ha925a31_0
lz4-c 1.9.3 h2bbff1b_0
markdown 3.3.3 py37haa95532_0
matplotlib 3.3.2 haa95532_0
matplotlib-base 3.3.2 py37hba9282a_0
mkl 2020.2 256
mkl-service 2.3.0 py37h196d8e1_0
mkl_fft 1.2.0 py37h45dec08_0
mkl_random 1.1.1 py37h47e9c7a_0
networkx 2.5 py_0
numpy 1.19.2 py37hadc3359_0
numpy-base 1.19.2 py37ha3acd2a_0
nvidia-ml-py3 7.352.1 pypi_0 pypi olefile 0.46 py37_0
opencv-python 4.5.1.48 pypi_0 pypi openjpeg 2.3.0 h5ec785f_1
openssl 1.1.1i h2bbff1b_0
opt_einsum 3.1.0 py_0
pathlib 1.0.1 py37_2
pillow 8.1.0 py37h4fa10fc_0
pip 20.3.3 py37haa95532_0
protobuf 3.14.0 py37hd77b12b_1
psutil 5.8.0 py37h2bbff1b_1
pyparsing 2.4.7 pyhd3eb1b0_0
pyqt 5.9.2 py37h6538335_2
pyreadline 2.1 py37_1
python 3.7.9 h60c2a47_0
python-dateutil 2.8.1 pyhd3eb1b0_0
python_abi 3.7 1_cp37m conda-forge pywavelets 1.1.1 py37he774522_2
pywin32 227 py37he774522_1
pyyaml 5.4.1 py37h2bbff1b_1
qt 5.9.7 vc14h73c81de_0
scikit-image 0.17.2 py37h1e1f486_0
scikit-learn 0.23.2 py37h47e9c7a_0
scipy 1.6.0 py37h14eb087_0
setuptools 52.0.0 py37haa95532_0
sip 4.19.8 py37h6538335_0
six 1.15.0 py37haa95532_0
snappy 1.1.8 h33f27b4_0
sqlite 3.33.0 h2a8f88b_0
tensorboard 2.0.0 pyhb38c66f_1
tensorflow 1.15.0 gpu_py37hc3743a6_0
tensorflow-base 1.15.0 gpu_py37h1afeea4_0
tensorflow-estimator 1.15.1 pyh2649769_0
tensorflow-gpu 1.15.0 h0d30ee6_0
termcolor 1.1.0 py37_1
threadpoolctl 2.1.0 pyh5ca1d4c_0
tifffile 2021.1.14 pyhd3eb1b0_1
tk 8.6.10 he774522_0
toolz 0.11.1 pyhd3eb1b0_0
toposort 1.5 py_3 conda-forge tornado 6.1 py37h2bbff1b_0
tqdm 4.56.0 pyhd3eb1b0_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 0.16.1 py_0
wheel 0.36.2 pyhd3eb1b0_0
wincertstore 0.2 py37_0
wrapt 1.12.1 py37he774522_1
xz 5.2.5 h62dcd97_0
yaml 0.2.5 he774522_0
zfp 0.5.5 hd77b12b_4
zipp 3.4.0 pyhd3eb1b0_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: 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
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bryanlyon
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Re: Quadro K2000M Problem

Post by bryanlyon »

Faceswap seems to be seeing your GPU, however, you do have only 2gb of vram. That means that some tasks wont be possible on that GPU (including probably training). Unfortunately, we really recommend larger GPUs since you'll struggle getting anything usable out of that GPU.

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Taifun
Posts: 5
Joined: Mon Mar 01, 2021 7:46 pm

Re: Quadro K2000M Problem

Post by Taifun »

That's bad:(
Anyway thanks for the fast answer.

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