'How to use Numba extension in setup.py?
I try to use the Numba for some fast calculations. I got the following issue while creating a package that use a Numba extension.
I did similar things as suggested on the official website. I have the following folder structure:
-test_numba
-test_numba
-__init__.py
-source_module.py
-setup.py
Then I put the following code in source_module.py:
from numba.pycc import CC
cc = CC('my_module')
cc.verbose = True
@cc.export('multf', 'f8(f8, f8)')
@cc.export('multi', 'i4(i4, i4)')
def mult(a, b):
return a * b
@cc.export('square', 'f8(f8)')
def square(a):
return a ** 2
if __name__ == "__main__":
cc.compile()
And complied it. and for init.py, I simply import the functions:
from .my_module import *
and for setup.py:
from setuptools import setup
from test_numba.source_module import cc
from setuptools import Extension
if __name__ == "__main__":
setup(
name="test_numba",
version="0.0.1",
packages=["test_numba"],
ext_modules=[cc.distutils_extension()]
)
I used pip install to installed the package. but the extension is not installed in the correct folder location.
/Users/xxx/miniconda3/envs/py/lib/python3.7/site-packages/my_module.cpython-37m-darwin.so
/Users/xxx/miniconda3/envs/py/lib/python3.7/site-packages/test_numba-0.0.1.dist-info/*
/Users/xxx/miniconda3/envs/py/lib/python3.7/site-packages/test_numba/*
and when I try to import this package from jupyter. I will get the following error: No module named 'test_numba.my_module'
How to correct this?
Solution 1:[1]
First of all, I assume your setup.py is actually within your first test_numba directory instead of outside of it as indicated in your diagram above. IOW, I assume it's actually like this:
-test_numba
-test_numba
-__init__.py
-source_module.py
-setup.py
There's a step that's required which is to do the Ahead-Of-Time (AOT) compilation that you want. To accomplish that, you can add cc.compile()
in your setup.py:
from setuptools import setup
from setuptools import Extension
from test_numba.source_module import cc
if __name__ == "__main__":
cc.compile() ### <-------- ADD THIS TO DO AOT COMPILATION
setup(
name="test_numba",
version="0.0.1",
packages=["test_numba"],
ext_modules=[cc.distutils_extension()]
)
But to be able to get that far, you have to allow __init__.py
to continue if it can't find my_module (because it isn't built yet).
try:
from .my_module import *
except:
pass
You can then install it with python3 -m pip install .
while in the first test_numba directory.
Here's my successful test (after changing to my home directory to make sure it's not importing locally):
>>> import test_numba as tn
>>> tn.multf(4,5)
20.0
Solution 2:[2]
The answer by @Mark H didn't work for me. It also seems strange to call cc.compile
as the numba AOT documentation for distutils integration (i.e. setup.py) doesn't mention running cc.compile
before setup(..., ext_modules=[cc.distutils_extension()])
.
Here's what worked for me:
- project structure:
-project_name
-src
-my_module
-__init__.py
-code2compile.py
-setup.py
- In the python file containing the functions to be compiled I had to change the name of the output directory of the DLL, which is defined using cc._source_module and not cc.output_dir for cc.distutils_extension() (see the definition).
cc = CC("compiled_module_name") # name of the DLL/pyd file
cc._source_module = "my_module.code2compile"
Note that if this wasn't done numba would attempt to copy the DLL to src/src/my_module, which doesn't exist. Instead, the above fix ensures that numba copies the DLL to src/my_module.
Update: I've created an issue on numba's github here as it seems like a bug.
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
Solution | Source |
---|---|
Solution 1 | Mark H |
Solution 2 |