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garbage.log
(py27)[david@SQUIDS gpy_memtest]$ python memtest.py gpy
/home/david/.virtualenvs/py27/lib/python2.7/site-packages/numpy/core/numeric.py:294: FutureWarning:in the future, full((3, 3), 666) will return an array of dtype('int64')
/home/david/.virtualenvs/py27/lib/python2.7/site-packages/numpy/core/numeric.py:294: FutureWarning:in the future, full((3, 1), 42) will return an array of dtype('int64')
0
[]
191
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[ 1., 1., 1.]])}}, {'force_kwargs': (), 'cached_input_ids': {'0x7f97ce498ed8': [<weakref at 0x7f97ce495e10; dead>, ['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0']], '0x7f97ce48f1d0': [<weakref at 0x7f97ce8fab50; dead>, ['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0']]}, 'order': deque(['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0']), 'inputs_changed': {'0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0': False}, 'cached_inputs': {'0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0': [<GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>, ObsAr([[ 666., 666., 666.],
[ 666., 666., 666.],
[ 666., 666., 666.]]), None]}, 'limit': 20, 'operation': <function dK_dr_via_X at 0x7f97d528c320>, 'ignore_args': (), 'cached_outputs': {'0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0': array([[-0., -0., -0.],
[-0., -0., -0.],
[-0., -0., -0.]])}}, {'_offset': 2, '_param_index_ops': <GPy.core.parameterization.index_operations.ParameterIndexOperations object at 0x7f97ce48fb50>, '_size': 1}, {'_poc': [(-100, <weakref at 0x7f97ce8faf70; dead>, <bound method Gaussian._parameters_changed_notification of <GPy.likelihoods.gaussian.Gaussian object at 0x7f97ce48f850>>), (-inf, <weakref at 0x7f97ce495788; dead>, <bound method GPRegression._pass_through_notify_observers of <GPy.models.gp_regression.GPRegression object at 0x7f97ce48f0d0>>)]}, {'_added_names_': set([]), '_realshape_': (1,), '_realsize_': 1, '_fixes_': None, '_optimizer_copy_transformed': False, 'parameters': [], 'priors': <GPy.core.parameterization.index_operations.ParameterIndexOperationsView object at 0x7f97ce48fad0>, '_parent_': <GPy.likelihoods.gaussian.Gaussian object at 0x7f97ce48f850>, '_in_init_': False, '_Parameterizable__visited': False, '_realndim_': 1, 'logger': <logging.Logger object at 0x7f97ce48f650>, '_param_array_': None, '_original_': GP_regression.Gaussian_noise.variance:
Param([ 1.]), '_gradient_array_': array([ 164.24999918]), '_optimizer_copy_': None, 'observers': [(-inf, <weakref at 0x7f97ce8faf70; dead>, <bound method Gaussian._pass_through_notify_observers of <GPy.likelihoods.gaussian.Gaussian object at 0x7f97ce48f850>>)], '_default_constraint_': Logexp, '_update_on': True, '_name': 'variance', '_parent_index_': 0, '_current_slice_': (slice(None, 1, None),), 'constraints': <GPy.core.parameterization.index_operations.ParameterIndexOperationsView object at 0x7f97ce4ac050>}, {'_offset': 2, '_param_index_ops': <GPy.core.parameterization.index_operations.ParameterIndexOperations object at 0x7f97ce48fb10>, '_size': 1}, (-500, <weakref at 0x7f97ce495b50; dead>, <bound method Tie._parameters_changed_notification of <GPy.core.parameterization.ties_and_remappings.Tie object at 0x7f97ce48fd90>>), (-100, <weakref at 0x7f97ce495788; dead>, <bound method GPRegression._parameters_changed_notification of <GPy.models.gp_regression.GPRegression object at 0x7f97ce48f0d0>>), {'_offset': 0, '_param_index_ops': <GPy.core.parameterization.index_operations.ParameterIndexOperations object at 0x7f97ce48fb50>, '_size': 2}, {'_poc': [(0, <weakref at 0x7f97ce495c00; dead>, <bound method Cacher.on_cache_changed of <GPy.util.caching.Cacher object at 0x7f97ce4ac110>>), (0, <weakref at 0x7f97ce495db8; dead>, <bound method Cacher.on_cache_changed of <GPy.util.caching.Cacher object at 0x7f97ce4ac190>>), (0, <weakref at 0x7f97ce495ba8; dead>, <bound method Cacher.on_cache_changed of <GPy.util.caching.Cacher object at 0x7f97ce4ac150>>), (0, <weakref at 0x7f97ce495ec0; dead>, <bound method Cacher.on_cache_changed of <GPy.util.caching.Cacher object at 0x7f97ce4ac210>>), (-100, <weakref at 0x7f97ce8fab50; dead>, <bound method RBF._parameters_changed_notification of <GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>>), (-inf, <weakref at 0x7f97ce495788; dead>, <bound method GPRegression._pass_through_notify_observers of <GPy.models.gp_regression.GPRegression object at 0x7f97ce48f0d0>>)]}, {'_added_names_': set([]), '_realshape_': (1,), '_realsize_': 1, '_fixes_': None, '_optimizer_copy_transformed': False, 'parameters': [], 'priors': <GPy.core.parameterization.index_operations.ParameterIndexOperationsView object at 0x7f97ce48f7d0>, '_parent_': <GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>, '_in_init_': False, '_Parameterizable__visited': False, '_realndim_': 1, 'logger': <logging.Logger object at 0x7f97ce48f650>, '_param_array_': None, '_original_': GP_regression.rbf.lengthscale:
Param([ 1.]), '_gradient_array_': array([-0.]), '_optimizer_copy_': None, 'observers': [(-inf, <weakref at 0x7f97ce8fab50; dead>, <bound method RBF._pass_through_notify_observers of <GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>>)], '_default_constraint_': Logexp, '_update_on': True, '_name': 'lengthscale', '_parent_index_': 1, '_current_slice_': (slice(None, 1, None),), 'constraints': <GPy.core.parameterization.index_operations.ParameterIndexOperationsView object at 0x7f97ce48f710>}, {'_added_names_': set([]), '_realshape_': (1,), '_realsize_': 1, '_fixes_': None, '_optimizer_copy_transformed': False, 'parameters': [], 'priors': <GPy.core.parameterization.index_operations.ParameterIndexOperationsView object at 0x7f97ce48f490>, '_parent_': <GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>, '_in_init_': False, '_Parameterizable__visited': False, '_realndim_': 1, 'logger': <logging.Logger object at 0x7f97ce48f650>, '_param_array_': None, '_original_': GP_regression.rbf.variance:
Param([ 1.]), '_gradient_array_': array([ 495.74999752]), '_optimizer_copy_': None, 'observers': [(-inf, <weakref at 0x7f97ce8fab50; dead>, <bound method RBF._pass_through_notify_observers of <GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>>)], '_default_constraint_': Logexp, '_update_on': True, '_name': 'variance', '_parent_index_': 0, '_current_slice_': (slice(None, 1, None),), 'constraints': <GPy.core.parameterization.index_operations.ParameterIndexOperationsView object at 0x7f97ce48ff10>}, {'_offset': 0, '_param_index_ops': <GPy.core.parameterization.index_operations.ParameterIndexOperations object at 0x7f97ce48fb10>, '_size': 2}, (-inf, <weakref at 0x7f97ce495788; dead>, <bound method GPRegression._pass_through_notify_observers of <GPy.models.gp_regression.GPRegression object at 0x7f97ce48f0d0>>), (-100, <weakref at 0x7f97ce495b50; dead>, <bound method Tie._parameters_changed_notification of <GPy.core.parameterization.ties_and_remappings.Tie object at 0x7f97ce48fd90>>), {'0x7f97ce498500': [<weakref at 0x7f97ce495c58; dead>, ['0x7f97ce48f1d00x7f97ce498500']], '0x7f97ce48f1d0': [<weakref at 0x7f97ce8fab50; dead>, ['0x7f97ce48f1d00x7f97ce498500']]}, deque(['0x7f97ce48f1d00x7f97ce498500']), {'0x7f97ce48f1d00x7f97ce498500': [<GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>, ObsAr([[ nan, nan, nan],
[ nan, nan, nan],
[ nan, nan, nan]])]}, {'0x7f97ce48f1d00x7f97ce498500': ObsAr([[ 666., 666., 666.],
[ 666., 666., 666.],
[ 666., 666., 666.]])}, {'0x7f97ce498ed8': [<weakref at 0x7f97ce495e10; dead>, ['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0']], '0x7f97ce48f1d0': [<weakref at 0x7f97ce8fab50; dead>, ['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0']]}, deque(['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0']), {'0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0': [<GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>, ObsAr([[ 666., 666., 666.],
[ 666., 666., 666.],
[ 666., 666., 666.]]), None]}, {'0x7f97ce498ed8': [<weakref at 0x7f97ce495e10; dead>, ['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0']], '0x7f97ce48f1d0': [<weakref at 0x7f97ce8fab50; dead>, ['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0']]}, deque(['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0']), {'0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0': [<GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>, ObsAr([[ 666., 666., 666.],
[ 666., 666., 666.],
[ 666., 666., 666.]]), None]}, {'0x7f97ce498ed8': [<weakref at 0x7f97ce495e10; dead>, ['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0']], '0x7f97ce48f1d0': [<weakref at 0x7f97ce8fab50; dead>, ['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0']]}, deque(['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0']), {'0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0': [<GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>, ObsAr([[ 666., 666., 666.],
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[ nan, nan, nan]])], ObsAr([[ 666., 666., 666.],
[ 666., 666., 666.],
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dead>, ['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0'], ['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0'], ['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0'], ['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0'], ['0x7f97ce48f1d00x7f97ce498ed80x7f980b1ffdc0'], <bound method GPRegression._pass_through_notify_observers of <GPy.models.gp_regression.GPRegression object at 0x7f97ce48f0d0>>, <bound method Gaussian._parameters_changed_notification of <GPy.likelihoods.gaussian.Gaussian object at 0x7f97ce48f850>>, <weakref at 0x7f97ce8faf70; dead>, [(-inf, <weakref at 0x7f97ce8faf70; dead>, <bound method Gaussian._pass_through_notify_observers of <GPy.likelihoods.gaussian.Gaussian object at 0x7f97ce48f850>>)], <bound method GPRegression._pass_through_notify_observers of <GPy.models.gp_regression.GPRegression object at 0x7f97ce48f0d0>>, <bound method RBF._parameters_changed_notification of <GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>>, <bound method Cacher.on_cache_changed of <GPy.util.caching.Cacher object at 0x7f97ce4ac210>>, <bound method Cacher.on_cache_changed of <GPy.util.caching.Cacher object at 0x7f97ce4ac150>>, <bound method Cacher.on_cache_changed of <GPy.util.caching.Cacher object at 0x7f97ce4ac190>>, <bound method Cacher.on_cache_changed of <GPy.util.caching.Cacher object at 0x7f97ce4ac110>>, [(-inf, <weakref at 0x7f97ce8fab50; dead>, <bound method RBF._pass_through_notify_observers of <GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>>)], [(-inf, <weakref at 0x7f97ce8fab50; dead>, <bound method RBF._pass_through_notify_observers of <GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>>)], (-inf, <weakref at 0x7f97ce8faf70; dead>, <bound method Gaussian._pass_through_notify_observers of <GPy.likelihoods.gaussian.Gaussian object at 0x7f97ce48f850>>), (-inf, <weakref at 0x7f97ce8fab50; dead>, <bound method RBF._pass_through_notify_observers of <GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>>), (-inf, <weakref at 0x7f97ce8fab50; dead>, <bound method RBF._pass_through_notify_observers of <GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>>), <bound method Gaussian._pass_through_notify_observers of <GPy.likelihoods.gaussian.Gaussian object at 0x7f97ce48f850>>, <bound method RBF._pass_through_notify_observers of <GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>>, <bound method RBF._pass_through_notify_observers of <GPy.kern._src.rbf.RBF object at 0x7f97ce48f1d0>>]
[110.515625, 110.51953125, 110.58984375, 110.58984375, 110.58984375, 110.58984375]
Raw
memtest.py
import gc
import numpy as np
import GPy
from sklearn.svm import SVR
import sys
import memory_profiler as mprof
model = sys.argv[1]
feats = np.full((3,3), 666)
labels = np.full((3, 1), 42)
def f():
for i in xrange(its):
if model == "gpy":
m = GPy.models.GPRegression(feats, labels)
elif model == "svm":
m = SVR(feats, labels.flatten())
#print gc.garbage
gc.set_debug(gc.DEBUG_SAVEALL)
feats[:, :] = np.nan
print gc.collect(2)
print gc.garbage
return
if model == 'svm':
its = 500000
elif model == 'gpy':
its = 3
mem_usage = mprof.memory_usage(f, timeout=10, interval=0.2)
print mem_usage
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