dlib
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davisking
[Bug]: dlib.DLIB_USE_CUDA: false
What Operating System(s) are you seeing this problem on?
Linux (x86-64)
dlib version
19.14.0
Python version
3.8.10
Compiler
MSVC 19
Expected Behavior
import dlib dlib.DLIB_USE_CUDA returns TRUE
Current Behavior
import dlib dlib.DLIB_USE_CUDA returns FALSE
Steps to Reproduce
Dockerfile:
FROM nvidia/cuda:11.4.0-cudnn8-devel-ubuntu20.04
.....
RUN cd dlib-19.14.0 &&
mkdir build &&
cd build &&
cmake .. -DDLIB_USE_CUDA=1 -DUSE_AVX_INSTRUCTIONS=1 &&
cmake --build .
RUN cd dlib-19.14.0 &&
python3 setup.py install --yes USE_AVX_INSTRUCTIONS --yes DLIB_USE_CUDA
run
docker run --gpus all ...
env
nivdia-smi、nvcc -V is success. but dlib.DLIB_USE_CUDA returns false
Anything else?
No response
CUDA was found but your compiler failed to compile a simple CUDA program so dlib isn't going to use CUDA.
MSVC
I guess the most intriguing part is how you can use MSVC 19 on Linux.
gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)
Warning: this issue has been inactive for 35 days and will be automatically closed on 2024-09-06 if there is no further activity.
If you are waiting for a response but haven't received one it's possible your question is somehow inappropriate. E.g. it is off topic, you didn't follow the issue submission instructions, or your question is easily answerable by reading the FAQ, dlib's official compilation instructions, dlib's API documentation, or a Google search.
Warning: this issue has been inactive for 43 days and will be automatically closed on 2024-09-06 if there is no further activity.
If you are waiting for a response but haven't received one it's possible your question is somehow inappropriate. E.g. it is off topic, you didn't follow the issue submission instructions, or your question is easily answerable by reading the FAQ, dlib's official compilation instructions, dlib's API documentation, or a Google search.
Notice: this issue has been closed because it has been inactive for 45 days. You may reopen this issue if it has been closed in error.