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ROCm 3.x is not supported by Numba
See original GitHub issueReporting a bug
- I have tried using the latest released version of Numba (most recent is visible in the change log (https://github.com/numba/numba/blob/master/CHANGE_LOG).
- I have included below a minimal working reproducer (if you are unsure how to write one see http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports).
I’m on Vega 20 (gfx906) and try to run this example code: https://numba.readthedocs.io/en/stable/roc/examples.html, but it errors out with the following full log:
warning: Linking two modules of different data layouts: '' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-A5' whereas '<string>' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-S32-A5'
warning: Linking two modules of different target triples: ' is 'amdgcn-amd-amdhsa-amdgizcl' whereas '<string>' is 'amdgcn--amdhsa'
warning: Linking two modules of different data layouts: '' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-A5' whereas '<string>' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-S32-A5'
warning: Linking two modules of different target triples: ' is 'amdgcn-amd-amdhsa-amdgizcl' whereas '<string>' is 'amdgcn--amdhsa'
warning: Linking two modules of different data layouts: '' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-A5' whereas '<string>' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-S32-A5'
warning: Linking two modules of different target triples: ' is 'amdgcn-amd-amdhsa-amdgizcl' whereas '<string>' is 'amdgcn--amdhsa'
warning: Linking two modules of different data layouts: '' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-A5' whereas '<string>' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-S32-A5'
warning: Linking two modules of different target triples: ' is 'amdgcn-amd-amdhsa-amdgizcl' whereas '<string>' is 'amdgcn--amdhsa'
warning: Linking two modules of different data layouts: '' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-A5' whereas '<string>' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-S32-A5'
warning: Linking two modules of different target triples: ' is 'amdgcn-amd-amdhsa-amdgizcl' whereas '<string>' is 'amdgcn--amdhsa'
warning: Linking two modules of different data layouts: '' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-A5' whereas '<string>' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-S32-A5'
warning: Linking two modules of different target triples: ' is 'amdgcn-amd-amdhsa-amdgizcl' whereas '<string>' is 'amdgcn--amdhsa'
warning: Linking two modules of different data layouts: '' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-A5' whereas '<string>' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-S32-A5'
warning: Linking two modules of different target triples: ' is 'amdgcn-amd-amdhsa-amdgizcl' whereas '<string>' is 'amdgcn--amdhsa'
warning: Linking two modules of different data layouts: '' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-A5' whereas '<string>' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-S32-A5'
warning: Linking two modules of different target triples: ' is 'amdgcn-amd-amdhsa-amdgizcl' whereas '<string>' is 'amdgcn--amdhsa'
warning: Linking two modules of different data layouts: '' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-A5' whereas '<string>' is 'e-p:64:64-p1:64:64-p2:32:32-p3:32:32-p4:64:64-p5:32:32-p6:32:32-i64:64-v16:16-v24:32-v32:32-v48:64-v96:128-v192:256-v256:256-v512:512-v1024:1024-v2048:2048-n32:64-S32-A5'
warning: Linking two modules of different target triples: ' is 'amdgcn-amd-amdhsa-amdgizcl' whereas '<string>' is 'amdgcn--amdhsa'
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
'gfx906' is not a recognized processor for this target (ignoring processor)
LLVM ERROR: Attempting to emit S_LOAD_DWORDX2_IMM_si instruction but the Feature_isGCN predicate(s) are not met
Looks like the llvm is outdated and so does not recognize newer models? I installed Numba via conda install -c conda-forge -c numba numba roctools.
Here’s my Numba config:
$ numba -s
System info:
--------------------------------------------------------------------------------
__Time Stamp__
Report started (local time) : 2020-09-01 00:22:15.338933
UTC start time : 2020-09-01 04:22:15.338937
Running time (s) : 1.006525
__Hardware Information__
Machine : x86_64
CPU Name : skylake-avx512
CPU Count : 20
Number of accessible CPUs : 20
List of accessible CPUs cores : 0-19
CFS Restrictions (CPUs worth of runtime) : None
CPU Features : 64bit adx aes avx avx2 avx512bw
avx512cd avx512dq avx512f avx512vl
bmi bmi2 clflushopt clwb cmov cx16
cx8 f16c fma fsgsbase fxsr invpcid
lzcnt mmx movbe pclmul popcnt
prfchw rdrnd rdseed rtm sahf sse
sse2 sse3 sse4.1 sse4.2 ssse3
xsave xsavec xsaveopt xsaves
Memory Total (MB) : 64003
Memory Available (MB) : 62021
__OS Information__
Platform Name : Linux-5.4.0-42-generic-x86_64-with-debian-buster-sid
Platform Release : 5.4.0-42-generic
OS Name : Linux
OS Version : #46~18.04.1-Ubuntu SMP Fri Jul 10 07:21:24 UTC 2020
OS Specific Version : ?
Libc Version : glibc 2.10
__Python Information__
Python Compiler : GCC 7.5.0
Python Implementation : CPython
Python Version : 3.7.8
Python Locale : en_US.UTF-8
__LLVM Information__
LLVM Version : 10.0.1
__CUDA Information__
CUDA Device Initialized : True
CUDA Driver Version : 11000
CUDA Detect Output:
Found 1 CUDA devices
id 0 b'GeForce RTX 2080 Ti' [SUPPORTED]
compute capability: 7.5
pci device id: 0
pci bus id: 26
Summary:
1/1 devices are supported
CUDA Librairies Test Output:
Finding cublas from CUDA_HOME
named libcublas.so.10.0.130
trying to open library... ok
Finding cusparse from CUDA_HOME
named libcusparse.so.10.0.130
trying to open library... ok
Finding cufft from CUDA_HOME
named libcufft.so.10.0.145
trying to open library... ok
Finding curand from CUDA_HOME
named libcurand.so.10.0.130
trying to open library... ok
Finding nvvm from CUDA_HOME
named libnvvm.so.3.3.0
trying to open library... ok
Finding cudart from CUDA_HOME
named libcudart.so.10.0.130
trying to open library... ok
Finding libdevice from CUDA_HOME
searching for compute_20... ok
searching for compute_30... ok
searching for compute_35... ok
searching for compute_50... ok
__ROC information__
ROC Available : True
ROC Toolchains : ['librocmlite library', 'ROC command line tools']
HSA Agents Count : 2
HSA Agents:
Agent id : 0
Vendor : CPU
Name : Intel(R) Core(TM) i9-9820X CPU @ 3.30GHz
Type : CPU
Agent id : 1
Vendor : AMD
Name : gfx906
Type : GPU
HSA Discrete GPUs Count : 1
HSA Discrete GPUs : gfx906
__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 : True
+-->TBB imported successfully.
OpenMP Threading Layer Available : True
+-->Vendor: GNU
Workqueue Threading Layer Available : True
+-->Workqueue imported successfully.
__Numba Environment Variable Information__
None found.
__Conda Information__
Conda Build : not installed
Conda Env : 4.8.3
Conda Platform : linux-64
Conda Python Version : 3.8.3.final.0
Conda Root Writable : True
__Installed Packages__
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
argon2-cffi 20.1.0 py37h8f50634_1 conda-forge
attrs 19.3.0 py_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.1 py_0 conda-forge
bleach 3.1.5 pyh9f0ad1d_0 conda-forge
ca-certificates 2020.6.20 hecda079_0 conda-forge
certifi 2020.6.20 py37hc8dfbb8_0 conda-forge
cffi 1.14.1 py37h2b28604_0 conda-forge
cupy 8.0.0b5 dev_0 <develop>
cython 0.29.21 py37h3340039_0 conda-forge
dbus 1.13.6 he372182_0 conda-forge
decorator 4.4.2 py_0 conda-forge
defusedxml 0.6.0 py_0 conda-forge
entrypoints 0.3 py37hc8dfbb8_1001 conda-forge
expat 2.2.9 he1b5a44_2 conda-forge
fastrlock 0.5 py37h3340039_0 conda-forge
flake8 3.7.9 py37hc8dfbb8_1 conda-forge
fontconfig 2.13.1 h86ecdb6_1001 conda-forge
freetype 2.10.2 he06d7ca_0 conda-forge
gettext 0.19.8.1 hc5be6a0_1002 conda-forge
glib 2.65.0 h6f030ca_0 conda-forge
gst-plugins-base 1.14.5 h0935bb2_2 conda-forge
gstreamer 1.14.5 h36ae1b5_2 conda-forge
icu 64.2 he1b5a44_1 conda-forge
importlib-metadata 1.7.0 py37hc8dfbb8_0 conda-forge
importlib_metadata 1.7.0 0 conda-forge
iniconfig 1.0.1 pyh9f0ad1d_0 conda-forge
ipykernel 5.3.4 py37h43977f1_0 conda-forge
ipython 7.17.0 py37hc6149b9_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
ipywidgets 7.5.1 py_0 conda-forge
jedi 0.15.2 py37_0 conda-forge
jinja2 2.11.2 pyh9f0ad1d_0 conda-forge
jpeg 9d h516909a_0 conda-forge
jsonschema 3.2.0 py37hc8dfbb8_1 conda-forge
jupyter 1.0.0 py_2 conda-forge
jupyter_client 6.1.6 py_0 conda-forge
jupyter_console 6.1.0 py_1 conda-forge
jupyter_core 4.6.3 py37hc8dfbb8_1 conda-forge
ld_impl_linux-64 2.34 hc38a660_9 conda-forge
libblas 3.8.0 17_openblas conda-forge
libcblas 3.8.0 17_openblas conda-forge
libffi 3.2.1 he1b5a44_1007 conda-forge
libgcc-ng 9.3.0 h24d8f2e_14 conda-forge
libgfortran-ng 7.5.0 hdf63c60_14 conda-forge
libgomp 9.3.0 h24d8f2e_14 conda-forge
libiconv 1.16 h516909a_0 conda-forge
liblapack 3.8.0 17_openblas conda-forge
libllvm10 10.0.1 he513fc3_3 conda-forge
libopenblas 0.3.10 pthreads_hb3c22a3_4 conda-forge
libpng 1.6.37 hed695b0_2 conda-forge
libsodium 1.0.18 h516909a_0 conda-forge
libstdcxx-ng 9.3.0 hdf63c60_14 conda-forge
libuuid 2.32.1 h14c3975_1000 conda-forge
libxcb 1.13 h14c3975_1002 conda-forge
libxml2 2.9.10 hee79883_0 conda-forge
line_profiler 3.0.2 py37hc9558a2_0 conda-forge
llvmlite 0.34.0 py37h5202443_1 conda-forge
markupsafe 1.1.1 py37h8f50634_1 conda-forge
mccabe 0.6.1 py_1 conda-forge
mistune 0.8.4 py37h8f50634_1001 conda-forge
more-itertools 8.4.0 py_0 conda-forge
nbconvert 5.6.1 py37hc8dfbb8_1 conda-forge
nbformat 5.0.7 py_0 conda-forge
ncurses 6.2 he1b5a44_1 conda-forge
notebook 6.1.3 py37hc8dfbb8_0 conda-forge
numba 0.51.1 py37h9fdb41a_0 conda-forge
numpy 1.19.1 py37h8960a57_0 conda-forge
openssl 1.1.1g h516909a_1 conda-forge
packaging 20.4 pyh9f0ad1d_0 conda-forge
pandoc 2.10.1 h516909a_0 conda-forge
pandocfilters 1.4.2 py_1 conda-forge
parso 0.5.2 py_0
pcre 8.44 he1b5a44_0 conda-forge
pexpect 4.8.0 py37hc8dfbb8_1 conda-forge
pickleshare 0.7.5 py37hc8dfbb8_1001 conda-forge
pip 20.2.2 py_0 conda-forge
pluggy 0.13.1 py37hc8dfbb8_2 conda-forge
prometheus_client 0.8.0 pyh9f0ad1d_0 conda-forge
prompt-toolkit 3.0.6 py_0 conda-forge
prompt_toolkit 3.0.6 0 conda-forge
pthread-stubs 0.4 h14c3975_1001 conda-forge
ptyprocess 0.6.0 py_1001 conda-forge
py 1.9.0 pyh9f0ad1d_0 conda-forge
pycodestyle 2.5.0 py37_0
pycparser 2.20 pyh9f0ad1d_2 conda-forge
pyflakes 2.1.1 py37_0
pygments 2.6.1 py_0 conda-forge
pyparsing 2.4.7 pyh9f0ad1d_0 conda-forge
pyqt 5.9.2 py37hcca6a23_4 conda-forge
pyrsistent 0.16.0 py37h8f50634_0 conda-forge
pytest 6.0.1 py37hc8dfbb8_0 conda-forge
python 3.7.8 h6f2ec95_1_cpython conda-forge
python-dateutil 2.8.1 py_0 conda-forge
python_abi 3.7 1_cp37m conda-forge
pyzmq 19.0.2 py37hac76be4_0 conda-forge
qt 5.9.7 h0c104cb_3 conda-forge
qtconsole 4.7.6 pyh9f0ad1d_0 conda-forge
qtpy 1.9.0 py_0 conda-forge
readline 8.0 he28a2e2_2 conda-forge
roctools 0.0.0 hf484d3e_1 numba
scipy 1.5.2 py37hb14ef9d_0 conda-forge
send2trash 1.5.0 py_0 conda-forge
setuptools 49.6.0 py37hc8dfbb8_0 conda-forge
sip 4.19.8 py37hf484d3e_0
six 1.15.0 pyh9f0ad1d_0 conda-forge
sqlite 3.32.3 h4cf870e_1 conda-forge
terminado 0.8.3 py37hc8dfbb8_1 conda-forge
testpath 0.4.4 py_0 conda-forge
tk 8.6.10 hed695b0_0 conda-forge
toml 0.10.1 pyh9f0ad1d_0 conda-forge
tornado 6.0.4 py37h8f50634_1 conda-forge
traitlets 4.3.3 py37hc8dfbb8_1 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_1 conda-forge
webencodings 0.5.1 py_1 conda-forge
wheel 0.35.1 pyh9f0ad1d_0 conda-forge
widgetsnbextension 3.5.1 py37hc8dfbb8_1 conda-forge
xorg-libxau 1.0.9 h14c3975_0 conda-forge
xorg-libxdmcp 1.1.3 h516909a_0 conda-forge
xz 5.2.5 h516909a_1 conda-forge
zeromq 4.3.2 he1b5a44_3 conda-forge
zipp 3.1.0 py_0 conda-forge
zlib 1.2.11 h516909a_1007 conda-forge
No errors reported.
__Warning log__
Warning (psutil): psutil cannot be imported. For more accuracy, consider installing it.
--------------------------------------------------------------------------------
On this machine I have ROCm 3.5.0 installed. I already verified its integrity as I am developing CuPy’s ROCm support on this machine.
Issue Analytics
- State:
- Created 3 years ago
- Comments:27 (25 by maintainers)
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@abitrolly Yes, hopefully that’d be changed at some point. See https://leofang.github.io/assets/HPC_with_CuPy.pdf.
ROCm support was officially removed in https://github.com/numba/numba/commit/4670b4c0d4a1e14a68c93513639f552ecd6330bd
I suppose the way to bring it back is to contact somebody from AMD for sponsorship.