- 1 year ago
Compiling Executable with dask or joblib multiprocessing with cython results in errors
Compiling executables that use dask
or joblib
for multiprocessing, along with Cython, can be a bit tricky due to the interactions between these libraries. Here are some steps you can follow to help resolve the errors you're encountering:
Check Dependencies: Make sure you have all the necessary dependencies installed, including Cython, dask, and joblib. You can install them using pip:
pip install cython dask joblib
Use
pyinstaller
orcx_Freeze
: Building standalone executables that use these libraries might be easier with tools likepyinstaller
orcx_Freeze
. These tools bundle all the required dependencies and create a self-contained executable.For example, using
pyinstaller
:csspip install pyinstaller
pyinstaller --onefile your_script.py
Using
cx_Freeze
:csspip install cx-Freeze
cxfreeze your_script.py --target-dir dist
Use Multiprocessing Context: Both
dask
andjoblib
allow you to choose the backend for multiprocessing. Make sure you set the appropriate context to avoid conflicts when building an executable. Forjoblib
, you can set the backend explicitly:pythonfrom joblib import parallel_backend
with parallel_backend('threading'):
# Your parallel code here
For
dask
, you can set the global scheduler:pythonfrom dask import config
config.set(scheduler='threading')
Using these context managers, you can ensure that the multiprocessing behavior remains consistent across different environments, including when building executables.
Check for Global Variables: If you have global variables in your script that are not picklable, it can cause issues with serialization when using multiprocessing. Try to minimize the use of global variables or use the
if __name__ == '__main__':
pattern to encapsulate the code that uses multiprocessing.Test with Simple Example: If you're still encountering issues, try building a minimal example that uses only
dask
orjoblib
for multiprocessing along with Cython. This can help isolate the problem and provide a cleaner environment for troubleshooting.Check Documentation and Issue Tracker: Check the documentation and issue trackers of
dask
,joblib
, and the tool you're using to build the executable for any known issues or solutions related to building executables.
Remember that combining multiple libraries that involve multiprocessing, such as dask
, joblib
, and Cython, can be complex due to interactions between them. Building standalone executables might require some trial and error, so be prepared to experiment and iterate to find a solution that works for your specific use case.