Member Site › Forums › Rosetta 3 › Rosetta 3 – General › Using mode=profile
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Anonymous.
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July 6, 2012 at 7:29 am #1338
Anonymous
Thanks in advance.
I need to see which functions are using the most time so I compiled with:
scons mode=profile extras=opencl bin
That was successful and I ran my program:
~/rosetta_source/bin/ragul_darc_run.opencl.macosgccprofile -database ~/rosetta_database/ -input_protein_file 2YXJ.pdb -input_ligand_file ZINC01350605_0001.fa.pdb -extra_res_fa ZINC01350605_0001.fa.params
That was successful and it created a file gmon.out.
But I’m not sure how to work with this. My understanding of gprof is that I need a command like:
gcc -g -pg executable.exe gmon.out
So I tried: (which lacks the command options)
gcc -g -pg ~/rosetta_source/bin/ragul_darc_run.opencl.macosgccprofile gmon.out
And got this error:
ld: in /Users/karenkhar/rosetta_source/bin/ragul_darc_run.opencl.macosgccprofile, can’t link with a main executable for architecture x86_64
collect2: ld returned 1 exit statusAlso tried:
gcc -g -pg ~/rosetta_source/bin/ragul_darc_run.opencl.macosgccprofile -database ~/rosetta_database/ -input_protein_file 2YXJ.pdb -input_ligand_file ZINC01350605_0001.fa.pdb -extra_res_fa ZINC01350605_0001.fa.params gmon.out
And got this error:
ld: unknown option: -extra_res_fa
collect2: ld returned 1 exit statusWhere have I gone wrong?
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July 6, 2012 at 10:25 am #7382
Anonymous
I also tried:
gprof ~/rosetta_source/bin/ragul_darc_run.opencl.macosgccprofile > out.txt
But out.txt didn’t have data:
granularity: each sample hit covers 4 byte(s) no time propagated
called/total parents
index %time self descendents called+self name index
called/total childrenAnd nothing followed that, suggesting there should be something there, but the profiling failed.
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July 6, 2012 at 1:26 pm #7383
Anonymous
To be honest, I have not had much luck with mode=profile. If you would like to see what function is taking the most time I would use a profiling software. A lot of people in the community use Shark for Macs. I use valgrind with a tool called callgrind. The command is valgirnd –tools=callgrind. It outputs a log file that you can analyze with kcachegrind.
I should also mention that you can use valgrind in release mode.
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