Cudasim acting differently than Cuda (when allocating)

Hello!

I had a bug which i finally found but when debugging i found that cudasim was acting differently (had no bug) than cuda (had bug): It was like:

@cuda.jit(device=True)
def f(n):
    a = cuda.local.array(n, int32)
    for i in range(n): a[i] = i
    return a

@cuda.jit
def kernel(in, out):
    a = f(n)
    # doing something with a

With cuda, “a” seems to be discarded, but with cudasim it has its values which made debugging quite hard. Maybe in cudasim mode a could also be discarded?

I have another question: How do you allocate global memory in a cuda kernel? I only found giving the function an array which is allocated on CPU site, but I cant find a pendant to cuda.local.array?

And another suggestion: In cudasim you can use print(), in cuda it throws an error. I think it would be convenient to simply ignore print() in pure cuda mode, because then there is no need to comment the print statements when switching cuda and cudasim mode.

Thanks!

[mha-py]

Here the output:

System info:
--------------------------------------------------------------------------------
__Time Stamp__
Report started (local time)                   : 2020-08-12 12:42:17.015212
UTC start time                                : 2020-08-12 10:42:17.015212
Running time (s)                              : 1.827336

__Hardware Information__
Machine                                       : AMD64
CPU Name                                      : ivybridge
CPU Count                                     : 8
Number of accessible CPUs                     : 8
List of accessible CPUs cores                 : 0 1 2 3 4 5 6 7
CFS Restrictions (CPUs worth of runtime)      : None

CPU Features                                  : 64bit aes avx cmov cx16 cx8 f16c
                                                fsgsbase fxsr mmx pclmul popcnt
                                                rdrnd sahf sse sse2 sse3 sse4.1
                                                sse4.2 ssse3 xsave xsaveopt

Memory Total (MB)                             : 8153
Memory Available (MB)                         : 2414

__OS Information__
Platform Name                                 : Windows-10-10.0.19041-SP0
Platform Release                              : 10
OS Name                                       : Windows
OS Version                                    : 10.0.19041
OS Specific Version                           : 10 10.0.19041 SP0 Multiprocessor Free
Libc Version                                  : ?

__Python Information__
Python Compiler                               : MSC v.1900 64 bit (AMD64)
Python Implementation                         : CPython
Python Version                                : 3.6.6
Python Locale                                 : de_DE.cp1252

__LLVM Information__
LLVM Version                                  : 9.0.1

__CUDA Information__
CUDA Device Initialized                       : True
CUDA Driver Version                           : 11000
CUDA Detect Output:
Found 1 CUDA devices
id 0     b'GeForce GTX 1070'                              [SUPPORTED]
                      compute capability: 6.1
                           pci device id: 0
                              pci bus id: 1
Summary:
	1/1 devices are supported

CUDA Librairies Test Output:
Finding cublas from CUDA_HOME
	named  cublas.dll
	trying to open library...	ERROR: failed to open cublas:
[WinError 126] Das angegebene Modul wurde nicht gefunden
Finding cusparse from CUDA_HOME
	named  cusparse.dll
	trying to open library...	ERROR: failed to open cusparse:
[WinError 126] Das angegebene Modul wurde nicht gefunden
Finding cufft from CUDA_HOME
	named  cufft.dll
	trying to open library...	ERROR: failed to open cufft:
[WinError 126] Das angegebene Modul wurde nicht gefunden
Finding curand from CUDA_HOME
	named  curand.dll
	trying to open library...	ERROR: failed to open curand:
[WinError 126] Das angegebene Modul wurde nicht gefunden
Finding nvvm from CUDA_HOME
	named  nvvm64_33_0.dll
	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                                 : 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              : False
+--> Disabled due to Unknown import problem.
Workqueue Threading Layer Available           : True
+-->Workqueue imported successfully.

__Numba Environment Variable Information__
None found.

__Conda Information__
Conda not available.

__Installed Packages__
Package                           Version
--------------------------------- -------------
-rotobuf                          3.12.2
-umba                             0.39.0
absl-py                           0.9.0
adodbapi                          2.6.0.7
aiohttp                           3.6.2
alabaster                         0.7.11
alembic                           1.2.1
algopy                            0.5.7
altair                            2.1.0
altair-widgets                    0.1.2
altgraph                          0.16.1
appdirs                           1.4.3
asciitree                         0.3.3
asteval                           0.9.12
astor                             0.7.1
astroid                           1.6.5
astroML                           0.3
astunparse                        1.6.3
async-timeout                     3.0.1
atari-py                          0.2.6
atomicwrites                      1.1.5
attrs                             18.1.0
auto-py-to-exe                    2.6.5
autobahn                          20.7.1
Babel                             2.6.0
backcall                          0.1.0
backports-abc                     0.5
baresql                           0.7.4
bcolz                             1.2.1
beautifulsoup4                    4.6.0
bleach                            1.5.0
blosc                             1.5.1
bloscpack                         0.13.0
bokeh                             2.1.1
bottle                            0.12.17
bottle-websocket                  0.2.9
Bottleneck                        1.2.1
bqplot                            0.10.5
branca                            0.4.1
brewer2mpl                        1.4.1
Brotli                            1.0.4
bsddb3                            6.2.6
cachetools                        4.1.1
certifi                           2020.6.20
cffi                              1.11.5
cftime                            1.0.0
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chart-studio                      1.0.0
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click-plugins                     1.1.1
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cloudpickle                       1.2.1
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configobj                         5.0.6
cryptography                      3.0
cvxopt                            1.2.0
cvxpy                             1.0.6
cx-Freeze                         5.1.1
cycler                            0.10.0
cyordereddict                     1.0.0
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dask-searchcv                     0.2.0
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yarl                              1.4.2
zarr                              2.2.0
zict                              0.1.3
zipp                              3.1.0

No errors reported.


__Warning log__
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 (win32).
:
Warning: Conda not available.
 Error was [WinError 2] Das System kann die angegebene Datei nicht finden

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[gmarkall]

Just checked this with Numba 0.54 RC:

• Variation 1 behaves similarly across the hardware and simulator
• Variation 2 fails to compile

I also noticed that this is returning a local array from a function, which isn’t expected to work (see also discussion in #7090), so I’m going to close this.