def PatternOptimizer(p1, p2, ign=True):
return gof.OpKeyOptimizer(gof.PatternSub(p1, p2), ignore_newtrees=ign)
softplus = elemwise.Elemwise(scalar_softplus, name="softplus")
pprint.assign(softplus, printing.FunctionPrinter("softplus"))
def _skip_mul_1(r):
if r.owner and r.owner.op == tensor.mul:
not_is_1 = [i for i in r.owner.inputs if not _is_1(i)]
if len(not_is_1) == 1:
return not_is_1[0]
logsigm_to_softplus = gof.PatternSub(
(tensor.log, (sigmoid, "x")),
(tensor.neg, (softplus, (tensor.neg, "x"))),
allow_multiple_clients=True,
values_eq_approx=values_eq_approx_remove_inf,
skip_identities_fn=_skip_mul_1,
)
def _is_1(expr):
"""
Returns
-------
bool
True iff expr is a constant close to 1.
"""
try:
scalar_softplus = ScalarSoftplus(scalar.upgrade_to_float,
name='scalar_softplus')
softplus = elemwise.Elemwise(scalar_softplus, name='softplus')
pprint.assign(softplus, printing.FunctionPrinter('softplus'))
def _skip_mul_1(r):
if r.owner and r.owner.op == tensor.mul:
not_is_1 = [i for i in r.owner.inputs if not _is_1(i)]
if len(not_is_1) == 1:
return not_is_1[0]
logsigm_to_softplus = gof.PatternSub(
(tensor.log, (sigmoid, 'x')),
(tensor.neg, (softplus, (tensor.neg, 'x'))),
allow_multiple_clients=True,
skip_identities_fn=_skip_mul_1)
def _is_1(expr):
"""rtype bool. True iff expr is a constant close to 1
"""
try:
v = opt.get_scalar_constant_value(expr)
return numpy.allclose(v, 1)
except tensor.NotScalarConstantError:
return False
log1msigm_to_softplus = gof.PatternSub(
(tensor.log,
from six import iteritems
from theano.compile.io import In, Out
from theano.compile import function
from theano.compile import UnusedInputError
from theano.gof import MissingInputError
from theano.compat import exc_message
from theano.tests.unittest_tools import SkipTest
from theano import tensor
from theano import tensor as T
import theano
import numpy as N
PatternOptimizer = lambda p1, p2, ign=True: gof.OpKeyOptimizer(
gof.PatternSub(p1, p2), ignore_newtrees=ign)
def checkfor(testcase, fn, E):
try:
fn()
except Exception as e:
if isinstance(e, E):
# we got the exception we wanted
return
else:
# we did not get the exception we wanted
raise
# fn worked, but it shouldn't have
testcase.fail()
from theano import config, gof
from theano.compile.io import In, Out
from theano.compile import function
from theano.compile import UnusedInputError
from theano.gof import MissingInputError
from theano.gof.python25 import all, any
from theano import tensor
from theano import tensor as T
import theano
import numpy as N
from numpy.testing.noseclasses import KnownFailureTest
PatternOptimizer = lambda p1, p2, ign=True: gof.OpKeyOptimizer(gof.PatternSub(p1, p2), ignore_newtrees=ign)
def checkfor(testcase, fn, E):
try:
fn()
except Exception, e:
if isinstance(e, E):
# we got the exception we wanted
return
else:
# we did not get the exception we wanted
raise
# fn worked, but it shouldn't have
testcase.fail()