harskish
commented
3 years ago The interactive viewer (interactive.py) currently requires CUDA (via pycuda) in order to draw the output images directly from GPU memory with OpenGL. It would be possible to remove the CUDA dependency and instead upload the output images from main memory to OpenGL, but that would require lots of code changes.
The jupyter notebooks should work fine without CUDA. If you're interested in running those, then you can skip the CUDA-related setup steps.
conda env update -f environment.yml --prune Collecting package metadata (repodata.json): done Solving environment: failed
ResolvePackageNotFound:
And numba -s
Time Stamp Report started (local time) : 2021-03-14 19:49:09.014002 UTC start time : 2021-03-14 10:49:09.014059 Running time (s) : 1.348543
Hardware Information Machine : x86_64 CPU Name : westmere CPU Count : 8 Number of accessible CPUs : ? List of accessible CPUs cores : ? CFS Restrictions (CPUs worth of runtime) : None
CPU Features : 64bit aes cmov cx16 cx8 fxsr mmx pclmul popcnt sahf sse sse2 sse3 sse4.1 sse4.2 ssse3
Memory Total (MB) : 16384 Memory Available (MB) : 1617
OS Information Platform Name : macOS-10.16-x86_64-i386-64bit Platform Release : 20.3.0 OS Name : Darwin OS Version : Darwin Kernel Version 20.3.0: Thu Jan 21 00:06:51 PST 2021; root:xnu-7195.81.3~1/RELEASE_ARM64_T8101 OS Specific Version : 10.16 x86_64 Libc Version : ?
Python Information Python Compiler : Clang 10.0.0 Python Implementation : CPython Python Version : 3.8.5 Python Locale : en_US.UTF-8
LLVM Information LLVM Version : 10.0.1
CUDA Information CUDA Device Initialized : False CUDA Driver Version : ? CUDA Detect Output: None CUDA Librairies Test Output: None
ROC information ROC Available : False ROC Toolchains : None HSA Agents Count : 0 HSA Agents: None HSA Discrete GPUs Count : 0 HSA Discrete GPUs : None
SVML Information SVML State, config.USING_SVML : False SVML Library Loaded : False llvmlite Using SVML Patched LLVM : True SVML Operational : False
Threading Layer Information TBB Threading Layer Available : False +--> Disabled due to Unknown import problem. OpenMP Threading Layer Available : True +-->Vendor: Intel Workqueue Threading Layer Available : True +-->Workqueue imported successfully.
Numba Environment Variable Information None found.
Conda Information Conda Build : 3.20.5 Conda Env : 4.9.2 Conda Platform : osx-64 Conda Python Version : 3.8.5.final.0 Conda Root Writable : True
Installed Packages ca-certificates 2021.1.19 hecd8cb5_1 certifi 2020.12.5 py37hecd8cb5_0 libcxx 10.0.0 1 libedit 3.1.20191231 h1de35cc_1 libffi 3.3 hb1e8313_2 ncurses 6.2 h0a44026_1 openssl 1.1.1j h9ed2024_0 pip 21.0.1 py37hecd8cb5_0 python 3.7.10 h88f2d9e_0 readline 8.1 h9ed2024_0 setuptools 52.0.0 py37hecd8cb5_0 sqlite 3.33.0 hffcf06c_0 tk 8.6.10 hb0a8c7a_0 wheel 0.36.2 pyhd3eb1b0_0 xz 5.2.5 h1de35cc_0 zlib 1.2.11 h1de35cc_3
No errors reported.
Warning log Warning (cuda): CUDA driver library cannot be found or no CUDA enabled devices are present. Exception class: <class 'numba.cuda.cudadrv.error.CudaSupportError'> Warning (roc): Error initialising ROC: No ROC toolchains found. Warning (roc): No HSA Agents found, encountered exception when searching: Error at driver init:
HSA is not currently supported on this platform (darwin).