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comparison deep/crbm/mnist_config.py.example @ 380:0473b799d449

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merge
author Yoshua Bengio <bengioy@iro.umontreal.ca>
date Mon, 26 Apr 2010 14:56:34 -0400
parents 64fa85d68923
children 1e9788ce1680
comparison
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379:a21a174c1c18 380:0473b799d449
1 # ----------------------------------------------------------------------------
2 # BEGIN EXPERIMENT ISOLATION CODE
3
4 # Path to pass to jobman sqlschedule. IMPORTANT TO CHANGE TO REFLECT YOUR CLONE.
5 # Make sure this is accessible from the default $PYTHONPATH (in your .bashrc)
6 # (and make sure every subdirectory has its __init__.py file)
7 EXPERIMENT_PATH = "ift6266_mnistcrbm_exp1.ift6266.deep.crbm.mnist_crbm.jobman_entrypoint"
8
9 def isolate_experiment():
10 '''
11 This makes sure we use the codebase clone created for this experiment.
12 I.e. if you want to make modifications to the codebase but don't want your
13 running experiment code to be impacted by those changes, first copy the
14 codebase somewhere, and configure this section. It will make sure we import
15 from the right place.
16
17 MUST BE DONE BEFORE IMPORTING ANYTHING ELSE
18 (Leave this comment there so others will understand what's going on)
19 '''
20
21 # Place where you copied modules that should be frozen for this experiment
22 codebase_clone_path = "/u/savardf/ift6266/experiment_clones/ift6266_mnistcrbm_exp1"
23
24 # Places where there might be conflicting modules from your $PYTHONPATH
25 remove_these_from_pythonpath = ["/u/savardf/ift6266/dev_code"]
26
27 import sys
28 sys.path[0:0] = [codebase_clone_path]
29
30 # remove paths we specifically don't want in $PYTHONPATH
31 for bad_path in remove_these_from_pythonpath:
32 sys.path[:] = [el for el in sys.path if not el in (bad_path, bad_path+"/")]
33
34 # Make the imports
35 import ift6266
36
37 # Just making sure we're importing from the right place
38 modules_to_check = [ift6266]
39 for module in modules_to_check:
40 if not codebase_clone_path in module.__path__[0]:
41 raise RuntimeError("Module loaded from incorrect path "+module.__path__[0])
42
43 # END EXPERIMENT ISOLATION CODE
44 # ----------------------------------------------------------------------------
45
46 from jobman import DD
47
48 '''
49 These are parameters used by mnist_crbm.py. They'll end up as globals in there.
50
51 Rename this file to config.py and configure as needed.
52 DON'T add the renamed file to the repository, as others might use it
53 without realizing it, with dire consequences.
54 '''
55
56 # change "sandbox" when you're ready
57 JOBDB = 'postgres://ift6266h10@gershwin/ift6266h10_sandbox_db/yourtablenamehere'
58
59 # Set this to True when you want to run cluster tests, ie. you want
60 # to run on the cluster, many jobs, but want to reduce the training
61 # set size and the number of epochs, so you know everything runs
62 # fine on the cluster.
63 # Set this PRIOR to inserting your test jobs in the DB.
64 TEST_CONFIG = False
65
66 # save params at training end
67 SAVE_PARAMS = True
68
69 IMAGE_OUTPUT_DIR = 'img/'
70
71 # number of minibatches before taking means for valid error etc.
72 REDUCE_EVERY = 100
73
74 # print series to stdout too (otherwise just produce the HDF5 file)
75 SERIES_STDOUT_TOO = False
76
77 VISUALIZE_EVERY = 20000
78 GIBBS_STEPS_IN_VIZ_CHAIN = 1000
79
80 if TEST_CONFIG:
81 REDUCE_EVERY = 10
82 VISUALIZE_EVERY = 20
83
84 # This is to configure insertion of jobs on the cluster.
85 # Possible values the hyperparameters can take. These are then
86 # combined with produit_cartesien_jobs so we get a list of all
87 # possible combinations, each one resulting in a job inserted
88 # in the jobman DB.
89 JOB_VALS = {'learning_rate': [1.0, 0.1, 0.01],
90 'sparsity_lambda': [3.0,0.5],
91 'sparsity_p': [0.3,0.05],
92 'num_filters': [40,15],
93 'filter_size': [12,7],
94 'minibatch_size': [20],
95 'num_epochs': [20]}
96
97 # Just useful for tests... minimal number of epochs
98 # Useful when launching a single local job
99 DEFAULT_STATE = DD({'learning_rate': 0.1,
100 'sparsity_lambda': 1.0,
101 'sparsity_p': 0.05,
102 'num_filters': 40,
103 'filter_size': 12,
104 'minibatch_size': 10,
105 'num_epochs': 20})
106
107 # To reinsert duplicate of jobs that crashed
108 REINSERT_COLS = ['learning_rate','sparsity_lambda','sparsity_p','num_filters','filter_size','minibatch_size','dupe']
109 #REINSERT_JOB_VALS = [\
110 # [,2],]
111