float('inf') does not work in Python 2.4.4 under Windows, using numpy.inf instead

theano/gof/optdb.py

@@ -5,12 +5,13 @@ if sys.version_info[:2] >= (2,5):
 else:
     from python25 import defaultdict
 
+import numpy
 import opt
 from theano.configparser import TheanoConfigParser, AddConfigVar, FloatParam
 from theano import config
 AddConfigVar('optdb.position_cutoff',
         'Where to stop eariler during optimization. It represent the position of the optimizer where to stop.',
-        FloatParam(float('inf')),
+        FloatParam(numpy.inf),
         in_c_key=False)
 
 class DB(object):

theano/scan_module/tests/test_scan.py

@@ -138,7 +138,7 @@ class multiple_outputs_numeric_grad:
         if numpy.all(numpy.isfinite(errs)):
             return numpy.max(errs), numpy.argmax(errs)
         else:
-            return float('inf'), 0
+            return numpy.inf, 0
 
 
 

theano/tensor/basic.py

@@ -1297,7 +1297,7 @@ class _tensor_py_operators:
     def norm(self, L, axis=None):
         if L==0:
             raise NotImplementedError()
-        if L==float('inf'):
+        if numpy.isinf(L):
             raise NotImplementedError()
         #optimizations will/should catch cases like L=1, L=2
         return pow(pow(abs_(self), L).sum(axis=axis), 1.0/L)

theano/tensor/signal/downsample.py

@@ -133,7 +133,7 @@ class DownsampleFactorMax(Op):
         zz=z[0]
 
         ## zz needs to be initialized with -inf for the following to work
-        zz -= float('inf')
+        zz -= numpy.inf
         ds0, ds1 = self.ds
         if self.ignore_border:
             x_usable2 = (x.shape[2] / ds0 * ds0)