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ArrayFire: Debugging ArrayFire Issues
ArrayFire: Debugging ArrayFire Issues
A high-performance general-purpose compute library
Main Page
Tutorials
Functions
Release Notes
Examples
Debugging ArrayFire Issues
Using Environment Variables
AF_PRINT_ERRORS=1
: Makes exception's messages more helpful
AF_TRACE=all
: Print ArrayFire message stream to console
AF_JIT_KERNEL_TRACE=stdout
: Writes out source code generated by ArrayFire's JIT to the specified target
AF_OPENCL_SHOW_BUILD_INFO=1
: Print OpenCL kernel build log to console
Tips in Language Bindings
C++
af_print_mem_info("message", -1);: Print table of memory used by ArrayFire on the active GPU
Python
arrayfire.device.print_mem_info("message"): Print table of memory used by ArrayFire on the active GPU
Further Reading
See the
ArrayFire README
for support information.
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