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MemCache_SCATTER.py
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194 lines (169 loc) · 7.24 KB
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Nov 19 2018
@author: chke (Christian Kehl)
"""
import numpy
import sys
import itertools
from multiprocessing import Lock,RLock,Semaphore,Event,Array,Value
from multiprocessing.managers import BaseManager
import ctypes
import math
WORKERS = 12
#CACHE_SIZE = 32
CACHE_SIZE = 128
CACHE_REUSE_PERIOD=12288 # should be at least WORKERS * CACHE_SIZE
class MemoryCache(object):
def __init__(self):
self.cacheX = None
self.cacheX_base = None
self.limitsX = None
self.limitsX_base = None
self.cache_used_counter_x = Value('i', 0)
#self.cache_renewed_counter_x = Value('i', 0)
self.image_shape_x = None
self.cache_shape_x = None
self.numE_x = None
self.cacheY = None
self.cacheY_base = None
self.limitsY = None
self.limitsY_base = None
self.cache_used_counter_y = Value('i', 0)
#self.cache_renewed_counter_y = Value('i', 0)
self.image_shape_y = None
self.cache_shape_y = None
self.numE_y = None
self.cache_size = CACHE_SIZE
self.cache_period = CACHE_REUSE_PERIOD
self.renew_cache = Value(ctypes.c_bool, False)
self.cache_used_counter = Value('i', 0)
self.cache_renewed_counter = Value('i', 0)
self._memlock_ = Lock()
def set_image_shape_x(self, image_shape):
self.image_shape_x = image_shape
self.cache_shape_x = (self.cache_size,) + self.image_shape_x
def set_number_channels_x(self, num_channels):
self.numE_x = num_channels
def set_image_shape_y(self, image_shape):
self.image_shape_y = image_shape
self.cache_shape_y = (self.cache_size,) + self.image_shape_y
def set_number_channels_y(self, num_channels):
self.numE_y = num_channels
def allocate(self):
nitems_x = 1
nitems_y = 1
for i in range(0, len(self.cache_shape_x)):
nitems_x *= self.cache_shape_x[i]
for i in range(0, len(self.cache_shape_y)):
nitems_y *= self.cache_shape_y[i]
self.cacheX_base = Array(ctypes.c_float, nitems_x)
self.cacheX = numpy.ctypeslib.as_array(self.cacheX_base.get_obj())
self.cacheX = self.cacheX.reshape(self.cache_shape_x)
self.limitsX_base = Array(ctypes.c_double, self.cache_size*self.numE_x*2)
self.limitsX = numpy.ctypeslib.as_array(self.limitsX_base.get_obj())
self.limitsX = self.limitsX.reshape((self.cache_size,self.numE_x,2))
self.cacheY_base = Array(ctypes.c_float, nitems_y)
self.cacheY = numpy.ctypeslib.as_array(self.cacheY_base.get_obj())
self.cacheY = self.cacheY.reshape(self.cache_shape_y)
self.limitsY_base = Array(ctypes.c_double, self.cache_size*self.numE_y*2)
self.limitsY = numpy.ctypeslib.as_array(self.limitsY_base.get_obj())
self.limitsY = self.limitsY.reshape((self.cache_size,self.numE_y,2))
self.renew_cache = Value(ctypes.c_bool, True)
self.cache_used_counter = Value('i', 0)
self.cache_used_counter_x = Value('i', 0)
self.cache_used_counter_y = Value('i', 0)
self.cache_renewed_counter = Value('i', 0)
def is_cache_updated(self):
return (self.renew_cache.value is False)
def get_number_renewed_items(self):
return int(self.cache_renewed_counter.value)
def get_renew_index(self):
#self._memlock_.acquire()
result = 0
with self.cache_renewed_counter.get_lock():
result = self.cache_renewed_counter.value
self.cache_renewed_counter.value+=1
if self.cache_renewed_counter.value >= self.cache_size:
with self.renew_cache.get_lock():
self.renew_cache.value = False
with self.cache_renewed_counter.get_lock():
self.cache_renewed_counter.value = 0
if self.cache_used_counter.value >= self.cache_period:
with self.cache_used_counter.get_lock():
self.cache_used_counter.value = 0
with self.cache_used_counter_x.get_lock():
self.cache_used_counter_x.value = 0
with self.cache_used_counter_y.get_lock():
self.cache_used_counter_y.value = 0
#self._memlock_.release()
return result
def get_cache_size(self):
return self.cache_size
def set_cache_item_x(self, index, item):
#self._memlock_.acquire()
#with self._memlock_:
with self.cacheX_base.get_lock():
self.cacheX[index]=item
#print("Cache X - renewed items: {}; used items: {}". format(self.cache_renewed_counter, self.cache_used_counter_x))
#self._memlock_.release()
def set_item_limits_x(self, index, minval, maxval):
with self.limitsX_base.get_lock():
self.limitsX[index,:,0] = minval
self.limitsX[index,:,1] = maxval
def set_cache_item_y(self, index, item):
#self._memlock_.acquire()
#with self._memlock_:
with self.cacheY_base.get_lock():
self.cacheY[index]=item
#self._memlock_.release()
def set_item_limits_y(self, index, minval, maxval):
with self.limitsY_base.get_lock():
self.limitsY[index,:,0] = minval
self.limitsY[index,:,1] = maxval
def get_cache_item_x(self, index):
result = None
#self._memlock_.acquire()
#with self._memlock_:
with self.cacheX_base.get_lock():
result = self.cacheX[index]
with self.cache_used_counter_x.get_lock():
self.cache_used_counter_x.value += 1
with self.cache_used_counter.get_lock():
self.cache_used_counter.value = max(self.cache_used_counter_x.value, self.cache_used_counter_y.value)
if self.cache_used_counter.value >= self.cache_period:
with self.renew_cache.get_lock():
self.renew_cache.value = True
#print("Cache X - renewed items: {}; used items: {}".format(self.cache_renewed_counter, self.cache_used_counter_x))
#self._memlock_.release()
return result
def get_item_limits_x(self, index):
minval = None
maxval = None
with self.limitsX_base.get_lock():
minval = self.limitsX[index,:,0]
maxval = self.limitsX[index,:,1]
return numpy.squeeze(minval), numpy.squeeze(maxval)
def get_cache_item_y(self, index):
result = None
#self._memlock_.acquire()
#with self._memlock_:
with self.cacheY_base.get_lock():
result = self.cacheY[index]
with self.cache_used_counter_y.get_lock():
self.cache_used_counter_y.value += 1
with self.cache_used_counter.get_lock():
self.cache_used_counter.value = max(self.cache_used_counter_x.value, self.cache_used_counter_y.value)
if self.cache_used_counter.value >= self.cache_period:
with self.renew_cache.get_lock():
self.renew_cache.value = True
#self._memlock_.release()
return result
def get_item_limits_y(self, index):
minval = None
maxval = None
with self.limitsY_base.get_lock():
minval = self.limitsY[index,:,0]
maxval = self.limitsY[index,:,1]
return numpy.squeeze(minval), numpy.squeeze(maxval)