I created a fresh installed image using my normal flow (basically as shown in the instructions here).
The installation process itself looked weird (It "failed with initial frozen solve", and after recovering, it spent a bunch of time downloading like 1.5GB of cuda stuff).
The install succeeded, but when I ran an extract, it eventually crashed with:
Code: Select all
tensorflow.python.framework.errors_impl.InternalError: cudaGetDevice() failed. Status: initialization error
Did something change with the package repos or something? I'm not too familiar with Conda, but It definitely looked like the install process wasn't behaving right. I tried this twice, and it misbehaved similarly.
Some relevant info from the crash log follows; I can give you more, but it likely wouldn't help:
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============ System Information ============
encoding: UTF-8
git_branch: Not Found
git_commits: Not Found
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: Tesla T4
gpu_devices_active: GPU_0
gpu_driver: 440.100
gpu_vram: GPU_0: 15109MB
os_machine: x86_64
os_platform: Linux-5.4.0-1021-gcp-x86_64-with-glibc2.17
os_release: 5.4.0-1021-gcp
py_command: /home/[[REDACTED]]/faceswap/faceswap.py extract -i /home/[[REDACTED]].mp4 -o /home/[[REDACTED]] -D s3fd -A fan -nm hist -rf 8 -min 0 -l 0.4 -sz 512 -een 3 -si 0 -L INFO
py_conda_version: Conda is used, but version not found
py_implementation: CPython
py_version: 3.8.11
py_virtual_env: True
sys_cores: 4
sys_processor: x86_64
sys_ram: Total: 15005MB, Available: 14245MB, Used: 482MB, Free: 13759MB
=============== Pip Packages ===============
absl-py==0.13.0
astunparse==1.6.3
cachetools==4.2.2
certifi==2021.5.30
charset-normalizer==2.0.6
clang==5.0
cycler==0.10.0
fastcluster==1.1.26
ffmpy==0.2.3
flatbuffers==1.12
gast==0.4.0
google-auth==1.35.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.40.0
h5py==3.1.0
idna==3.2
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1629987409325/work
joblib @ file:///tmp/build/80754af9/joblib_1613502643832/work
keras==2.6.0
Keras-Preprocessing==1.1.2
kiwisolver @ file:///tmp/build/80754af9/kiwisolver_1612282420641/work
Markdown==3.3.4
matplotlib @ file:///tmp/build/80754af9/matplotlib-base_1592846008246/work
mkl-fft==1.3.0
mkl-random==1.1.1
mkl-service==2.3.0
numpy @ file:///tmp/build/80754af9/numpy_and_numpy_base_1603570489231/work
nvidia-ml-py==11.470.66
oauthlib==3.1.1
olefile @ file:///Users/ktietz/demo/mc3/conda-bld/olefile_1629805411829/work
opencv-python==4.5.3.56
opt-einsum==3.3.0
Pillow @ file:///tmp/build/80754af9/pillow_1625655817137/work
protobuf==3.18.0
psutil @ file:///tmp/build/80754af9/psutil_1612298023621/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
requests==2.26.0
requests-oauthlib==1.3.0
rsa==4.7.2
scikit-learn @ file:///tmp/build/80754af9/scikit-learn_1621370412049/work
scipy @ file:///tmp/build/80754af9/scipy_1616703172749/work
sip==4.19.13
six==1.15.0
tensorboard==2.6.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorflow-estimator==2.6.0
tensorflow-gpu==2.6.0
termcolor==1.1.0
threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1629802263681/work
tornado @ file:///tmp/build/80754af9/tornado_1606942300299/work
tqdm @ file:///tmp/build/80754af9/tqdm_1631818572807/work
typing-extensions==3.7.4.3
urllib3==1.26.6
Werkzeug==2.0.1
wrapt==1.12.1
============== Conda Packages ==============
Could not get package list