annotate nnet_ops.py @ 79:427e02ef0629

-bugfix. We need to make deep copy otherwise we modify this instance event if we should not do it. -added function __eq__ and __ne__ as otherwise we do pointor comparison
author Frederic Bastien <bastienf@iro.umontreal.ca>
date Mon, 05 May 2008 10:28:58 -0400
parents 1b152f46ad0c
children 810a8e3c85e1
rev   line source
24
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
1 import theano
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
2 from theano import tensor, gof, scalar
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
3 import numpy
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
4
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
5 class ScalarSigmoid(scalar.UnaryScalarOp):
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
6 def impl(self, x):
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
7 return 1.0 / (1 + numpy.exp(-x))
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
8 def grad(self, (x,), (gz,)):
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
9 return gz * scalar_sigmoid(x) * (1.0 - scalar_sigmoid(x)),
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
10 def c_foreach(self, (x,), (z,)):
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
11 return "%(z)s = 1.0 / (1 + exp(-%(x)s));" % locals()
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
12 scalar_sigmoid = gof.op.constructor(ScalarSigmoid)
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
13 Sigmoid, sigmoid, SigmoidInplace, sigmoid_inplace \
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
14 = theano.tensor.broadcast(ScalarSigmoid, 'Sigmoid')
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
15
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
16
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
17
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
18 class CrossentropySoftmax1Hot(gof.op.Op):
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
19 """A special compound Op for the output of neural-net classifiers.
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
20
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
21 This Op has two outputs:
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
22 - KL(softmax(x), y)
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
23 - softmax(x)
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
24
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
25 x[i] is assumed to be a dense vector
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
26 softmax(x[i]) is the i'th distribution over len(x[i]) options
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
27 y[i] is an integer index, encoding a 1-hot distribution
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
28
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
29 """
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
30 nin=2
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
31 nout=2
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
32 def __init__(self, x, b, y_idx, **kwargs):
24
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
33 x = tensor._as_tensor(x)
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
34 b = tensor._as_tensor(b)
24
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
35 y_idx = tensor._as_tensor(y_idx)
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
36 if len(x.broadcastable) != 2 \
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
37 or x.dtype not in ['float32', 'float64']:
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
38 raise ValueError('x must be 2-d tensor of floats')
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
39 if len(b.broadcastable) != 1 \
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
40 or x.dtype not in ['float32', 'float64']:
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
41 raise ValueError('x must be 1-d tensor of floats')
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
42 if len(y_idx.broadcastable) != 1 \
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
43 or y_idx.dtype not in ['int32', 'int64']:
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
44 raise ValueError('x must be 1-d tensor of ints')
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
45
24
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
46 # TODO: Is this correct? It used to be y, not y_idx
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
47 nll = tensor.Tensor(x.dtype, y_idx.broadcastable)
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
48 # nll = Tensor(x.dtype, y.broadcastable)
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
49 sm = tensor.Tensor(x.dtype, x.broadcastable)
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
50 self.inputs = [x, b, y_idx]
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
51 self.outputs = [nll, sm]
24
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
52 def perform(self):
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
53 x, b, y_idx = [i.data for i in self.inputs]
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
54 if b.shape[0] != x.shape[1]:
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
55 raise ValueError('b must have same shape as x[0]')
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
56
24
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
57 sm = numpy.zeros_like(x) # softmax
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
58 nll = numpy.zeros(x.shape[0]) #nll(y | softmax(x))
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
59 for i in xrange(sm.shape[0]):
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
60 row = x[i] + b
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
61 sm[i] = numpy.exp(row - numpy.max(row)) #softmax
24
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
62 sm[i] *= 1.0 / numpy.sum(sm[i]) #vector scale
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
63 nll[i] = -numpy.log( sm[i, y_idx[i]]) #cross-entropy
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
64 self.outputs[0].data = nll
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
65 self.outputs[1].data = sm
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
66 def grad(self, (x, b, y_idx), (g_nll, g_sm)):
24
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
67 if g_sm is not None:
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
68 raise NotImplementedError()
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
69 nll, sm = crossentropy_softmax_1hot(x, b, y_idx)
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
70 dx = CrossentropySoftmax1HotDx(g_nll, sm, y_idx).outputs[0]
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
71 db = tensor.Sum(dx, axis = [0]).outputs[0]
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
72 return dx, db, None
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
73
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
74 def c_validate_cleanup(self, (x, b, y_idx), (nll, sm), sub):
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
75 """Not sure..."""
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
76 return ""
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
77 def c_support_code(self):
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
78 return """
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
79 """
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
80 def c_code(self, (x, b, y_idx), (nll, sm), sub):
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
81 # this implementation was lifted from
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
82 # /u/bergstrj/cvs/bergstrj/src/feb07/nn.cxx
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
83
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
84 #TODO: put this into a templated function, in the support code
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
85 #TODO: declare the max of each row as an Op output
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
86
32
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
87 #TODO: set error messages for failures in this code
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
88
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
89 return """
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
90 npy_intp* Nx = %(x)s->dimensions;
34
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
91
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
92 if (%(x)s->nd != 2) { %(fail)s }
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
93 if (%(b)s->nd != 1) { %(fail)s }
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
94 if (%(y_idx)s->nd != 1) { %(fail)s }
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
95 if (%(x)s->descr->type_num != PyArray_DOUBLE) { %(fail)s}
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
96 if (%(b)s->descr->type_num != PyArray_DOUBLE) { %(fail)s}
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
97 if (%(y_idx)s->descr->type_num != PyArray_INT64) { %(fail)s}
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
98
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
99 %(nll)s = (PyArrayObject*)PyArray_SimpleNew(1, PyArray_DIMS(%(y_idx)s), type_num_%(x)s);
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
100 if(!%(nll)s){%(fail)s}
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
101
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
102 %(sm)s = (PyArrayObject*)PyArray_SimpleNew(2, PyArray_DIMS(%(x)s), type_num_%(x)s);
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
103 if(!%(sm)s) {
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
104 // The normal cleanup code will take care of %(nll)s
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
105 // Py_XDECREF(%(nll)s); %(nll)s=NULL;
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
106 %(fail)s
1b152f46ad0c consolidated code
bergstrj@iro.umontreal.ca
parents: 32
diff changeset
107 }
32
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
108 if (%(x)s->dimensions[1] != %(b)s->dimensions[0]) {%(fail)s}
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
109 if (%(sm)s->dimensions[0] != %(x)s->dimensions[0]) {%(fail)s}
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
110 if (%(sm)s->dimensions[1] != %(x)s->dimensions[1]) {%(fail)s}
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
111
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
112 for (size_t i = 0; i < Nx[0]; ++i)
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
113 {
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
114 size_t j;
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
115 double sum = 0.0;
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
116 bool discount_max = false;
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
117
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
118 const double* __restrict__ x_i = (double*)(%(x)s->data + %(x)s->strides[0] * i);
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
119 const double* __restrict__ b_i = (double*)(%(b)s->data);
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
120 const long int y_i = ((long int*)(%(y_idx)s->data + %(y_idx)s->strides[0] * i))[0];
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
121 double* __restrict__ sm_i = (double*)(%(sm)s->data + %(sm)s->strides[0] * i);
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
122 double* __restrict__ nll_i = (double*)(%(nll)s->data + %(nll)s->strides[0] * i);
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
123
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
124 npy_intp Sx = %(x)s->strides[1]/sizeof(double);
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
125 npy_intp Sb = %(b)s->strides[0]/sizeof(double);
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
126 npy_intp Ssm = %(sm)s->strides[1]/sizeof(double);
24
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
127
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
128 size_t row_max_j=0;
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
129 double row_max = x_i[0] + b_i[0];
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
130 //try to compute sum and sm the easy way
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
131 for (j = 0; j < Nx[1]; ++j)
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
132 {
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
133 double row_ij = x_i[j * Sx] + b_i[j * Sb];
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
134 row_max_j = (row_ij > row_max) ? j : row_max_j;
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
135 row_max = (row_ij > row_max) ? row_ij : row_max;
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
136
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
137 double sm_ij = exp(row_ij);
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
138 sum += sm_ij;
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
139 sm_i[j * Ssm] = sm_ij;
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
140 }
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
141 if ((0.0 == sum) || (isinf(sum)))
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
142 {
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
143 //our cheap trick didn't work... try again and do it better.
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
144 discount_max = true;
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
145 sum = 0.0; //reset sum and recompute....
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
146 for (j = 0; j < Nx[1]; ++j)
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
147 {
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
148 double row_ij = x_i[j * Sx] + b_i[j * Sb];
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
149
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
150 double sm_ij = exp(row_ij - row_max);
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
151 sum += sm_ij;
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
152 sm_i[j * Ssm] = sm_ij;
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
153 }
32
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
154 if ( (0.0 == sum) || (isinf(sum)))
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
155 {
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
156 //that was our best...
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
157 %(fail)s;
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
158 }
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
159 //if we still can't sum it up, we're screwed.
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
160 //So far, this assertion has never failed...
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
161 }
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
162
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
163 //cblas_dscal(x.N, 1.0 / sum, &mat_at(s,i,0), s.n);
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
164 double sum_inv = 1.0 / sum;
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
165 for (j = 0; j < Nx[1]; ++j)
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
166 {
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
167 sm_i[j * Ssm] *= sum_inv;
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
168 }
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
169
32
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
170 if (y_i >= Nx[1])
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
171 {
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
172 %(fail)s;
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
173 }
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
174
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
175 nll_i[0] = - x_i[y_i*Sx]
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
176 - b_i[y_i*Sb]
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
177 + (discount_max ? row_max : 0.0)
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
178 + log(sum);
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
179 //mat_at(y,i,0) = -log( mat_at(s,i,t[i])); //less accurate?
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
180 //mat_at(y,i,0) = - mat_at(x,i,t[i]) - mat_at(b,0,t[i]) + (discount_max ? maxi : 0.0) + log(sum);
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
181 }
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
182 """ % dict(locals(), **sub)
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
183
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
184
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
185
25
b63e8c0bf21b added __init__.py, fixed crossentropy_softmax_1hot function name
bergstrj@iro.umontreal.ca
parents: 24
diff changeset
186 crossentropy_softmax_1hot = gof.op.constructor(CrossentropySoftmax1Hot)
24
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
187
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
188 class CrossentropySoftmax1HotDx (gof.op.Op):
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
189 nin=3
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
190 nout=1
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
191 """Gradient wrt x of the CrossentropySoftmax1Hot Op"""
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
192 def __init__(self, dy, sm, y_idx,**kwargs):
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
193 dy = tensor._as_tensor(dy)
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
194 sm = tensor._as_tensor(sm)
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
195 y_idx = tensor._as_tensor(y_idx)
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
196 self.inputs = [dy, sm, y_idx]
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
197 self.outputs = [tensor.Tensor(sm.dtype, sm.broadcastable)]
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
198 def perform(self):
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
199 dy,sm,y_idx = [i.data for i in self.inputs]
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
200 dx = numpy.zeros_like(sm)
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
201 for i in xrange(sm.shape[0]):
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
202 dx[i] = dy[i] * sm[i] #vector scale
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
203 dx[i, y_idx[i]] -= dy[i] #scalar decrement
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
204 self.outputs[0].data = dx
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
205 def grad(self, *args):
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
206 raise NotImplementedError()
32
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
207 def c_validate_update(self, (dnll, sm, y_idx), (dx,), sub):
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
208 """Allocate output storage"""
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
209 return """
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
210 if (%(dnll)s->nd != 1) { %(fail)s }
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
211 if (%(sm)s->nd != 2) { %(fail)s }
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
212 if (%(y_idx)s->nd != 1) { %(fail)s }
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
213 if (%(dnll)s->descr->type_num != PyArray_DOUBLE) { %(fail)s}
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
214 if (%(sm)s->descr->type_num != PyArray_DOUBLE) { %(fail)s}
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
215 if (%(y_idx)s->descr->type_num != PyArray_INT64) { %(fail)s}
30
bf0145fa73e8 added c implementation for CrossentropySoftmax1Hot
bergstrj@iro.umontreal.ca
parents: 25
diff changeset
216
32
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
217 %(dx)s = (PyArrayObject*)PyArray_SimpleNew(2, PyArray_DIMS(%(sm)s), type_num_%(sm)s);
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
218 if(!%(dx)s){%(fail)s}
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
219
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
220 """ % dict(locals(), **sub)
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
221 def c_validate_cleanup(self, inputs, outputs, sub):
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
222 """Not sure..."""
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
223 return ""
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
224 def c_support_code(self):
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
225 return """
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
226 """
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
227 def c_code(self, (dnll, sm, y_idx), (dx,), sub):
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
228 return """
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
229 npy_intp* shape = %(dx)s->dimensions;
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
230 if (%(dnll)s->dimensions[0] != %(sm)s->dimensions[0]) {%(fail)s}
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
231 if (%(dnll)s->dimensions[0] != %(y_idx)s->dimensions[0]) {%(fail)s}
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
232 if (%(dnll)s->dimensions[0] != %(dx)s->dimensions[0]) {%(fail)s}
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
233
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
234 if (%(sm)s->dimensions[1] != %(dx)s->dimensions[1]) {%(fail)s}
24
2e8be9f5412b added nnet_ops
bergstrj@iro.umontreal.ca
parents:
diff changeset
235
32
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
236 for (size_t i = 0; i < shape[0]; ++i)
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
237 {
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
238 const double dnll_i = ((double*)(%(dnll)s->data + %(dnll)s->strides[0] * i))[0];
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
239
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
240 const long int y_i = ((long int*)(%(y_idx)s->data + %(y_idx)s->strides[0] * i))[0];
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
241
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
242 const double* __restrict__ sm_i = (double*)(%(sm)s->data + %(sm)s->strides[0] * i);
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
243 npy_intp Ssm = %(sm)s->strides[1]/sizeof(double);
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
244
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
245 double* __restrict__ dx_i = (double*)(%(dx)s->data + %(dx)s->strides[0] * i);
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
246 npy_intp Sdx = %(dx)s->strides[1]/sizeof(double);
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
247
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
248 for (size_t j = 0; j < shape[1]; ++j)
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
249 {
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
250 dx_i[j * Sdx] = dnll_i * sm_i[j * Ssm];
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
251 }
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
252 if (y_i >= shape[1])
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
253 {
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
254 %(fail)s;
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
255 }
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
256 dx_i[y_i * Sdx] -= dnll_i;
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
257 }
039c0f249859 added C impl for softmax dx
bergstrj@iro.umontreal.ca
parents: 30
diff changeset
258 """ % dict(locals(), **sub)