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Multiprocess 4.00.00alpha way slower than 3.03 #898

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a455bcd9 opened this issue May 9, 2017 · 15 comments
Closed

Multiprocess 4.00.00alpha way slower than 3.03 #898

a455bcd9 opened this issue May 9, 2017 · 15 comments
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@a455bcd9
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a455bcd9 commented May 9, 2017

Hi,

I need to do OCR on a lot of multipage TIF documents. After reading #263 (comment) I decided to run several Tesseract processes in parallel.

With tesseract 3.03, OCR speeds increases linearly (more or less) with the number of processes. However, with 4.00.00alpha all processes are blocked at the first page and it seems to take an infinitely long time to process this first page. If I manually pause a process, others are able to resume processing.

The problems seems to be caused by the fact that v4.00 uses up to 4 CPUs to process a multipage TIF (one is saturated and the other 3 are used at about 25%). So if you run 4 processes in parallel on a 4-CPU machine, they're stuck. That's also why launching two processes in parallel on an 8-CPU machine is OK but launching 8 is infinitely slow.

I got the same problem on Ubuntu 14.04.5 LTS and Amazon Linux AMI 2016.09.

Is it a bug on the alpha version? Or is it a feature meant to fasten the processing of multipage TIFF images?

Thanks for any help you can provide.


tesseract 3.05.00 ( 2ca5d0a ) is OK

@stweil
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stweil commented May 9, 2017

The behavior which you describe was expected, see this previous discussion.

You can build Tesseract 4.x without multithreading by using configure --disable-openmp. That will improve your case, but I expect that it still will be slower than 3.x because Tesseract 4.x needs more processing time.

It would be good to have a runtime option to disable multithreading (or set the number of threads).

@a455bcd9
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a455bcd9 commented May 9, 2017

Thanks a lot, it worked! I'll benchmark 3.x vs 4.x in my case to see if it's interesting to use 4.x.

I don't need multiprocessing all the time, so is it possible to build 4.x with multi threading and to specify a flag to disable OpenMP just before running Tesseract?

@amitdo
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amitdo commented May 9, 2017

is it possible to build 4.x with multi threading and to specify a flag to disable OpenMP just before running Tesseract?

No.

It would be good to have a runtime option to disable multithreading (or set the number of threads).

@stweil
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stweil commented May 10, 2017

is it possible to build 4.x with multi threading and to specify a flag to disable OpenMP just before running Tesseract?

"No" is the correct answer, but the whole story is a little bit more complicated. Here is the related Tesseract code:

ccmain/par_control.cpp:#pragma omp parallel for num_threads(10)
lstm/fullyconnected.cpp:#pragma omp parallel for num_threads(kNumThreads)
lstm/fullyconnected.cpp:#pragma omp parallel for num_threads(kNumThreads)
lstm/lstm.cpp:#pragma omp parallel for num_threads(GFS) if (!Is2D())
lstm/parallel.cpp:#pragma omp parallel for num_threads(stack_size)
lstm/parallel.cpp:#pragma omp parallel for num_threads(stack_size)
lstm/weightmatrix.cpp:#pragma omp parallel for num_threads(4) if (in_parallel)

Some of those statements use a fixed number of threads (10, kNumThreads = 4, 4), while others use a calculated value. In addition, there is code which generates the threads conditionally. There is also a Tesseract parameter named tessedit_parallelize which controls use of multithreading. By default it is set to 0 which means no multithreading for those parts of the code. So the more complete answer would be: No, you cannot disable OpenMP just before running Tesseract, but you can enable additional use of OpenMP by setting the parameter tessedit_parallelize.

@amitdo
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amitdo commented May 10, 2017

The parameter tessedit_parallelize is used only with the legacy engine*. The new LSTM engine does not use it.

* Ray now calls the legacy engine "dead code".

@a455bcd9
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Thanks, I close this issue.

@stweil
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stweil commented May 10, 2017

@a455bcd9, it would be nice if you could publish your final benchmark results here as soon as they are available.

@a455bcd9
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@stweil OK!

By the way, I thought OMP_NUM_THREADS=1 tesseract ... would disable multi threading but it seems it doesn't change anything, is it normal?

@stweil
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stweil commented May 10, 2017

OMP_NUM_THREADS specifies the default number of threads. The Tesseract code never uses that default because all omp parallel statements add the num_threads attribute.

@stweil
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stweil commented May 25, 2017

In the mean time I did compare Tesseract 4 with and without OpenMP. My test result suggests that mass production should not use OpenMP:

# tesseract 0604.jp2 /tmp/0604 # default = with OpenMP
real	1m44,390s
user	4m57,656s
sys	0m1,352s

# tesseract 0604.jp2 /tmp/0604 # without OpenMP
real	2m54,469s
user	2m54,160s
sys	0m0,304s

While the total time is shorter with multithreaded code, the user time is much worse.
Therefore I'd expect that it is better to run large OCR jobs with one non threaded
Tesseract process per CPU.

@amitdo
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amitdo commented Jul 13, 2017

@a455bcd9,

is it possible to build 4.x with multi threading and to specify a flag to disable OpenMP just before running Tesseract?

Actually, the answer is yes :-)

OMP_THREAD_LIMIT=1 tesseract...

@sirius0503
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sirius0503 commented Sep 23, 2019

In the mean time I did compare Tesseract 4 with and without OpenMP. My test result suggests that mass production should not use OpenMP:

# tesseract 0604.jp2 /tmp/0604 # default = with OpenMP
real	1m44,390s
user	4m57,656s
sys	0m1,352s

# tesseract 0604.jp2 /tmp/0604 # without OpenMP
real	2m54,469s
user	2m54,160s
sys	0m0,304s

While the total time is shorter with multithreaded code, the user time is much worse.
Therefore I'd expect that it is better to run large OCR jobs with one non threaded
Tesseract process per CPU.

@stweil Can you elaborate upon this

@stweil
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stweil commented Sep 23, 2019

Simply don't use Tesseract 4 with OpenMP unless you are sure that it helps in your case.

@sirius0503
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@stweil : Using OMP_THREAD_LIMIT = 1 seems to be the solution as given by @amitdo

@Freredaran
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Freredaran commented Feb 18, 2023

@stweil : Using OMP_THREAD_LIMIT = 1 seems to be the solution as given by @amitdo

Same here. After updating to Ubuntu 22.04, gImageReader became incredibly slow for me. Dev manisandro was very helpful and led me to a quick and dirty cli solution for running on a single thread. 'Works wonderfully for me.
In a terminal, type:

`export OMP_THREAD_LIMIT=1`

If you want to check that you actually are running on one thread, type:

`echo $OMP_THREAD_LIMIT`

Then run gImageReader:

`gimagereader-gtk`

Et voilà :o)

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