Created
March 17, 2016 19:39
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| import gc | |
| import numpy as np | |
| import GPy | |
| from sklearn.svm import SVR | |
| import sys, getopt | |
| import memory_profiler as mprof | |
| opts,args = getopt.getopt(sys.argv[1:],'gh') | |
| hier = False | |
| collect = False | |
| for opt,arg in opts: | |
| if opt == '-h': | |
| hier =True | |
| elif opt == '-g': | |
| collect = True | |
| feats = np.full((3,3), 666) | |
| labels = np.full((3, 1), 42) | |
| def f(): | |
| for i in xrange(its): | |
| if hier: | |
| m = GPy.models.GPRegression(feats, labels,GPy.kern.Hierarchical(kernels=[GPy.kern.RBF(2), GPy.kern.RBF(2)])) | |
| else: | |
| m = GPy.models.GPRegression(feats, labels) | |
| if collect: | |
| gc.collect(2) | |
| its = 500 | |
| mem_usage = mprof.memory_usage(f, timeout=10, interval=0.2) | |
| print mem_usage |
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