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ulimit's Introduction

UNMAINTAINED

Use unix::rlimit_as() instead.


ulimit wercker status codecov.io

Limit R memory on POSIX systems (Linux, OS X, ...).

Installation

devtools::install_github("krlmlr/ulimit")

Usage

Execute the following to limit the memory available to R to 2000 MiB:

ulimit::memory_limit(2000)

See also the package documentation and the small vignette.

Related

RAppArmor has the rlimit_as() function and much, much more.

ulimit's People

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ulimit's Issues

don't limit GPU?

Hello,

When I run ulimit and tensorflow at the same time, then tensorflow is unable to allocate the RAM on the GPU. I get an error like this:

sess <- tf$Session()
2018-04-20 11:07:39.267514: E tensorflow/stream_executor/cuda/cuda_driver.cc:936] failed to allocate 11.11G (11924878080 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY
2018-04-20 11:07:39.267547: E tensorflow/stream_executor/cuda/cuda_driver.cc:936] failed to allocate 10.00G (10732390400 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY
2018-04-20 11:07:39.267557: E tensorflow/stream_executor/cuda/cuda_driver.cc:936] failed to allocate 9.00G (9659151360 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY
2018-04-20 11:07:39.267566: E tensorflow/stream_executor/cuda/cuda_driver.cc:936] failed to allocate 8.10G (8693235712 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY
2018-04-20 11:07:39.267574: E tensorflow/stream_executor/cuda/cuda_driver.cc:936] failed to allocate 7.29G (7823911936 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY
2018-04-20 11:07:39.267589: E tensorflow/stream_executor/cuda/cuda_driver.cc:936] failed to allocate 6.56G (7041520640 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY
2018-04-20 11:07:39.267598: E tensorflow/stream_executor/cuda/cuda_driver.cc:936] failed to allocate 5.90G (6337368576 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY

I have 32gb RAM and that's what ulimit is to. The GPU has 12gb RAM.
Is there a way to use make this package restrict just the main CPU RAM, not the GPU?

Thank you.

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