Mercurial > ift6266

annotate deep/crbm/crbm.py @ 535:caf7769ca19c

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
typo
author Yoshua Bengio <bengioy@iro.umontreal.ca>
date Tue, 01 Jun 2010 22:25:35 -0400
parents 8d116d4a7593
children
rev   line source
337
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
1 import sys
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
2 import os, os.path
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
3
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
4 import numpy
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
5
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
6 import theano
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
7
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
8 USING_GPU = "gpu" in theano.config.device
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
9
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
10 import theano.tensor as T
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
11 from theano.tensor.nnet import conv, sigmoid
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
12
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
13 if not USING_GPU:
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
14 from theano.tensor.shared_randomstreams import RandomStreams
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
15 else:
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
16 from theano.sandbox.rng_mrg import MRG_RandomStreams
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
17
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
18 _PRINT_GRAPHS = True
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
19
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
20 def _init_conv_biases(num_filters, varname, rng=numpy.random):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
21 b_shp = (num_filters,)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
22 b = theano.shared( numpy.asarray(
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
23 rng.uniform(low=-.5, high=.5, size=b_shp),
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
24 dtype=theano.config.floatX), name=varname)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
25 return b
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
26
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
27 def _init_conv_weights(conv_params, varname, rng=numpy.random):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
28 cp = conv_params
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
29
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
30 # initialize shared variable for weights.
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
31 w_shp = conv_params.as_conv2d_shape_tuple()
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
32 w_bound = numpy.sqrt(cp.num_input_planes * \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
33 cp.height_filters * cp.width_filters)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
34 W = theano.shared( numpy.asarray(
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
35 rng.uniform(
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
36 low=-1.0 / w_bound,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
37 high=1.0 / w_bound,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
38 size=w_shp),
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
39 dtype=theano.config.floatX), name=varname)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
40
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
41 return W
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
42
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
43 # Shape of W for conv2d
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
44 class ConvolutionParams:
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
45 def __init__(self, num_filters, num_input_planes, height_filters, width_filters):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
46 self.num_filters = num_filters
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
47 self.num_input_planes = num_input_planes
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
48 self.height_filters = height_filters
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
49 self.width_filters = width_filters
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
50
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
51 def as_conv2d_shape_tuple(self):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
52 cp = self
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
53 return (cp.num_filters, cp.num_input_planes,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
54 cp.height_filters, cp.width_filters)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
55
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
56 class CRBM:
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
57 def __init__(self, minibatch_size, image_size, conv_params,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
58 learning_rate, sparsity_lambda, sparsity_p):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
59 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
60 Parameters
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
61 ----------
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
62 image_size
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
63 height, width
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
64 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
65 self.minibatch_size = minibatch_size
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
66 self.image_size = image_size
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
67 self.conv_params = conv_params
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
68
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
69 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
70 Dimensions:
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
71 0- minibatch
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
72 1- plane/color
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
73 2- y (rows)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
74 3- x (cols)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
75 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
76 self.x = T.tensor4('x')
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
77 self.h = T.tensor4('h')
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
78
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
79 self.lr = theano.shared(numpy.asarray(learning_rate,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
80 dtype=theano.config.floatX))
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
81 self.sparsity_lambda = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
82 theano.shared( \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
83 numpy.asarray( \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
84 sparsity_lambda,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
85 dtype=theano.config.floatX))
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
86 self.sparsity_p = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
87 theano.shared( \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
88 numpy.asarray(sparsity_p, \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
89 dtype=theano.config.floatX))
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
90
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
91 self.numpy_rng = numpy.random.RandomState(1234)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
92
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
93 if not USING_GPU:
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
94 self.theano_rng = RandomStreams(self.numpy_rng.randint(2**30))
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
95 else:
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
96 self.theano_rng = MRG_RandomStreams(234, use_cuda=True)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
97
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
98 self._init_params()
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
99 self._init_functions()
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
100
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
101 def _get_visibles_shape(self):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
102 imsz = self.image_size
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
103 return (self.minibatch_size,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
104 self.conv_params.num_input_planes,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
105 imsz[0], imsz[1])
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
106
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
107 def _get_hiddens_shape(self):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
108 cp = self.conv_params
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
109 imsz = self.image_size
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
110 wf, hf = cp.height_filters, cp.width_filters
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
111 return (self.minibatch_size, cp.num_filters,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
112 imsz[0] - hf + 1, imsz[1] - wf + 1)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
113
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
114 def _init_params(self):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
115 cp = self.conv_params
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
116
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
117 self.W = _init_conv_weights(cp, 'W')
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
118 self.b_h = _init_conv_biases(cp.num_filters, 'b_h')
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
119 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
120 Lee09 mentions "all visible units share a single bias c"
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
121 but for upper layers it's pretty clear we need one
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
122 per plane, by symmetry
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
123 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
124 self.b_x = _init_conv_biases(cp.num_input_planes, 'b_x')
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
125
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
126 self.params = [self.W, self.b_h, self.b_x]
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
127
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
128 # flip filters horizontally and vertically
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
129 W_flipped = self.W[:, :, ::-1, ::-1]
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
130 # also have to invert the filters/num_planes
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
131 self.W_tilde = W_flipped.dimshuffle(1,0,2,3)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
132
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
133 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
134 I_up and I_down come from the symbol used in the
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
135 Lee 2009 CRBM paper
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
136 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
137 def _I_up(self, visibles_mb):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
138 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
139 output of conv is features maps of size
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
140 image_size - filter_size + 1
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
141 The dimshuffle serves to broadcast b_h so that it
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
142 corresponds to output planes
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
143 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
144 fshp = self.conv_params.as_conv2d_shape_tuple()
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
145 return conv.conv2d(visibles_mb, self.W,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
146 filter_shape=fshp) + \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
147 self.b_h.dimshuffle('x',0,'x','x')
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
148
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
149 def _I_down(self, hiddens_mb):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
150 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
151 notice border_mode='full'... we want to get
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
152 back the original size
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
153 so we get feature_map_size + filter_size - 1
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
154 The dimshuffle serves to broadcast b_x so that
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
155 it corresponds to output planes
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
156 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
157 fshp = list(self.conv_params.as_conv2d_shape_tuple())
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
158 # num_filters and num_planes swapped
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
159 fshp[0], fshp[1] = fshp[1], fshp[0]
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
160 return conv.conv2d(hiddens_mb, self.W_tilde,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
161 border_mode='full',filter_shape=tuple(fshp)) + \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
162 self.b_x.dimshuffle('x',0,'x','x')
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
163
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
164 def _mean_free_energy(self, visibles_mb):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
165 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
166 visibles_mb is mb_size x num_planes x h x w
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
167
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
168 we want to match the summed input planes
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
169 (second dimension, first is mb index)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
170 to respective bias terms for the visibles
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
171 The dimshuffle isn't really necessary,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
172 but I put it there for clarity.
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
173 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
174 vbias_term = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
175 self.b_x.dimshuffle('x',0) * \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
176 T.sum(visibles_mb,axis=[2,3])
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
177 # now sum over term per planes, get one free energy
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
178 # contribution per element of minibatch
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
179 vbias_term = - T.sum(vbias_term, axis=1)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
180
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
181 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
182 Here it's a bit more complex, a few points:
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
183 - The usual free energy, in the fully connected case,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
184 is a sum over all hiddens.
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
185 We do the same thing here, but each unit has limited
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
186 connectivity and there's weight reuse.
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
187 Therefore we only need to first do the convolutions
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
188 (with I_up) which gives us
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
189 what would normally be the Wx+b_h for each hidden.
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
190 Once we have this,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
191 we take the log(1+exp(sum for this hidden)) elemwise
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
192 for each hidden,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
193 then we sum for all hiddens in one example of the minibatch.
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
194
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
195 - Notice that we reuse the same b_h everywhere instead of
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
196 using one b per hidden,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
197 so the broadcasting for b_h done in I_up is all right.
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
198
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
199 That sum is over all hiddens, so all filters
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
200 (planes of hiddens), x, and y.
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
201 In the end we get one free energy contribution per
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
202 example of the minibatch.
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
203 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
204 softplused = T.log(1.0+T.exp(self._I_up(visibles_mb)))
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
205 # h_sz = self._get_hiddens_shape()
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
206 # this simplifies the sum
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
207 # num_hiddens = h_sz[1] * h_sz[2] * h_sz[3]
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
208 # reshaped = T.reshape(softplused,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
209 # (self.minibatch_size, num_hiddens))
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
210
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
211 # this is because the 0,1,1,1 sum pattern is not
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
212 # implemented on gpu, but the 1,0,1,1 pattern is
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
213 dimshuffled = softplused.dimshuffle(1,0,2,3)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
214 xh_and_hbias_term = - T.sum(dimshuffled, axis=[0,2,3])
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
215
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
216 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
217 both bias_term and vbias_term end up with one
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
218 contributor to free energy per minibatch
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
219 so we mean over minibatches
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
220 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
221 return T.mean(vbias_term + xh_and_hbias_term)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
222
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
223 def _init_functions(self):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
224 # propup
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
225 # b_h is broadcasted keeping in mind we want it to
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
226 # correspond to each new plane (corresponding to filters)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
227 I_up = self._I_up(self.x)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
228 # expected values for the distributions for each hidden
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
229 E_h_given_x = sigmoid(I_up)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
230 # might be needed if we ever want a version where we
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
231 # take expectations instead of samples for CD learning
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
232 self.E_h_given_x_func = theano.function([self.x], E_h_given_x)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
233
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
234 if _PRINT_GRAPHS:
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
235 print "----------------------\nE_h_given_x_func"
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
236 theano.printing.debugprint(self.E_h_given_x_func)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
237
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
238 h_sample_given_x = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
239 self.theano_rng.binomial( \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
240 size = self._get_hiddens_shape(),
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
241 n = 1,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
242 p = E_h_given_x,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
243 dtype = theano.config.floatX)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
244
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
245 self.h_sample_given_x_func = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
246 theano.function([self.x],
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
247 h_sample_given_x)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
248
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
249 if _PRINT_GRAPHS:
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
250 print "----------------------\nh_sample_given_x_func"
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
251 theano.printing.debugprint(self.h_sample_given_x_func)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
252
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
253 # propdown
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
254 I_down = self._I_down(self.h)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
255 E_x_given_h = sigmoid(I_down)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
256 self.E_x_given_h_func = theano.function([self.h], E_x_given_h)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
257
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
258 if _PRINT_GRAPHS:
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
259 print "----------------------\nE_x_given_h_func"
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
260 theano.printing.debugprint(self.E_x_given_h_func)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
261
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
262 x_sample_given_h = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
263 self.theano_rng.binomial( \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
264 size = self._get_visibles_shape(),
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
265 n = 1,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
266 p = E_x_given_h,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
267 dtype = theano.config.floatX)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
268
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
269 self.x_sample_given_h_func = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
270 theano.function([self.h],
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
271 x_sample_given_h)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
272
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
273 if _PRINT_GRAPHS:
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
274 print "----------------------\nx_sample_given_h_func"
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
275 theano.printing.debugprint(self.x_sample_given_h_func)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
276
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
277 ##############################################
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
278 # cd update done by grad of free energy
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
279
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
280 x_tilde = T.tensor4('x_tilde')
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
281 cd_update_cost = self._mean_free_energy(self.x) - \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
282 self._mean_free_energy(x_tilde)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
283
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
284 cd_grad = T.grad(cd_update_cost, self.params)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
285 # This is NLL minimization so we use a -
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
286 cd_updates = {self.W: self.W - self.lr * cd_grad[0],
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
287 self.b_h: self.b_h - self.lr * cd_grad[1],
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
288 self.b_x: self.b_x - self.lr * cd_grad[2]}
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
289
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
290 cd_returned = [cd_update_cost,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
291 cd_grad[0], cd_grad[1], cd_grad[2],
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
292 self.lr * cd_grad[0],
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
293 self.lr * cd_grad[1],
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
294 self.lr * cd_grad[2]]
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
295 self.cd_return_desc = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
296 ['cd_update_cost',
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
297 'cd_grad_W', 'cd_grad_b_h', 'cd_grad_b_x',
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
298 'lr_times_cd_grad_W',
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
299 'lr_times_cd_grad_b_h',
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
300 'lr_times_cd_grad_b_x']
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
301
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
302 self.cd_update_function = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
303 theano.function([self.x, x_tilde],
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
304 cd_returned, updates=cd_updates)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
305
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
306 if _PRINT_GRAPHS:
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
307 print "----------------------\ncd_update_function"
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
308 theano.printing.debugprint(self.cd_update_function)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
309
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
310 ##############
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
311 # sparsity update, based on grad for b_h only
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
312
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
313 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
314 This mean returns an array of shape
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
315 (num_hiddens_planes, feature_map_height, feature_map_width)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
316 (so it's a mean over each unit's activation)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
317 '''
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
318 mean_expected_activation = T.mean(E_h_given_x, axis=0)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
319 # sparsity_p is broadcasted everywhere
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
320 sparsity_update_cost = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
321 T.sqr(self.sparsity_p - mean_expected_activation)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
322 sparsity_update_cost = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
323 T.sum(T.sum(T.sum( \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
324 sparsity_update_cost, axis=2), axis=1), axis=0)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
325 sparsity_grad = T.grad(sparsity_update_cost, [self.W, self.b_h])
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
326
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
327 sparsity_returned = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
328 [sparsity_update_cost,
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
329 sparsity_grad[0], sparsity_grad[1],
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
330 self.sparsity_lambda * self.lr * sparsity_grad[0],
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
331 self.sparsity_lambda * self.lr * sparsity_grad[1]]
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
332 self.sparsity_return_desc = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
333 ['sparsity_update_cost',
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
334 'sparsity_grad_W',
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
335 'sparsity_grad_b_h',
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
336 'lambda_lr_times_sparsity_grad_W',
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
337 'lambda_lr_times_sparsity_grad_b_h']
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
338
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
339 # gradient _descent_ so we use a -
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
340 sparsity_update = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
341 {self.b_h: self.b_h - \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
342 self.sparsity_lambda * self.lr * sparsity_grad[1],
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
343 self.W: self.W - \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
344 self.sparsity_lambda * self.lr * sparsity_grad[0]}
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
345 self.sparsity_update_function = \
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
346 theano.function([self.x],
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
347 sparsity_returned, updates=sparsity_update)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
348
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
349 if _PRINT_GRAPHS:
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
350 print "----------------------\nsparsity_update_function"
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
351 theano.printing.debugprint(self.sparsity_update_function)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
352
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
353 def CD_step(self, x):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
354 h1 = self.h_sample_given_x_func(x)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
355 x2 = self.x_sample_given_h_func(h1)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
356 return self.cd_update_function(x, x2)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
357
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
358 def sparsity_step(self, x):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
359 return self.sparsity_update_function(x)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
360
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
361 # these two also operate on minibatches
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
362
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
363 def random_gibbs_samples(self, num_updown_steps):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
364 start_x = self.numpy_rng.rand(*self._get_visibles_shape())
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
365 return self.gibbs_samples_from(start_x, num_updown_steps)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
366
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
367 def gibbs_samples_from(self, start_x, num_updown_steps):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
368 x_sample = start_x
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
369 for i in xrange(num_updown_steps):
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
370 h_sample = self.h_sample_given_x_func(x_sample)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
371 x_sample = self.x_sample_given_h_func(h_sample)
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
372 return x_sample
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
373
8d116d4a7593 Added convolutional RBM (ala Lee09) code, imported from my working dir elsewhere. Seems to work for one layer. No subsampling yet.
fsavard
parents:
diff changeset
374