Source code for mantidimaging.core.utility.memory_usage

# Copyright (C) 2022 ISIS Rutherford Appleton Laboratory UKRI
# SPDX - License - Identifier: GPL-3.0-or-later

from logging import getLogger

# Percent memory of the system total to AVOID being allocated by Mantid Imaging shared arrays
# as taking up nearly, if not exactly, 100% not only makes it more likely to get hit by
# SIGBUS by the OS, but even if the allocation is permitted it could slow the system down
# to the point of being unusable
MEMORY_CAP_PERCENTAGE = 0.025


[docs] def system_free_memory(): class Value: def __init__(self, bytes): self._bytes = bytes def kb(self): return self._bytes / 1024 def mb(self): return self._bytes / 1024 / 1024 import psutil meminfo = psutil.virtual_memory() return Value(meminfo.available - meminfo.total * MEMORY_CAP_PERCENTAGE)
[docs] def get_memory_usage_linux(kb=False, mb=False): """ :param kb: Return the value in Kilobytes :param mb: Return the value in Megabytes """ import psutil meminfo = psutil.virtual_memory() tuple_to_return = tuple() # start with empty tuple # meminfo.used gives the size in bytes if kb: tuple_to_return += (meminfo.used / 1024, ) if mb: tuple_to_return += (meminfo.used / 1024 / 1024, ) return tuple_to_return
[docs] def get_memory_usage_linux_str(): memory_in_kbs, memory_in_mbs = get_memory_usage_linux(kb=True, mb=True) # handle caching memory_string = "{0} KB, {1} MB".format(memory_in_kbs, memory_in_mbs) # use an attribute to this function only, instead a global variable visible # outside if not hasattr(get_memory_usage_linux_str, 'last_memory_cache'): get_memory_usage_linux_str.last_memory_cache = memory_in_kbs else: # get memory difference in Megabytes delta_memory = ( memory_in_kbs - get_memory_usage_linux_str.last_memory_cache) \ / 1024 # remove cached memory, del removes the reference so that hasattr will # work correctly del get_memory_usage_linux_str.last_memory_cache memory_string += ". Memory change: {0} MB".format(delta_memory) return memory_string
[docs] def debug_log_memory_usage_linux(message=""): try: # Windows doesn't seem to have resource package, so this will # silently fail import resource as res log = getLogger(__name__) log.info("Memory usage {} KB, {} MB".format( res.getrusage(res.RUSAGE_SELF).ru_maxrss, int(res.getrusage(res.RUSAGE_SELF).ru_maxrss) / 1024)) log.info(message) except ImportError: log.warning('Resource monitoring is not available on Windows')