from theano.tensor.tests.test_basic import (
makeBroadcastTester, copymod, check_floatX, upcast_int8_nfunc,
_good_broadcast_unary_normal_no_complex)
class T_sigmoid(unittest.TestCase):
def setUp(self):
utt.seed_rng()
def test_elemwise(self):
utt.verify_grad(sigmoid, [np.random.rand(3, 4)])
SigmoidTester = makeBroadcastTester(
op=sigmoid,
expected=upcast_int8_nfunc(
lambda inputs: check_floatX(inputs, 1 / (1 + np.exp(-inputs)))),
good=copymod(_good_broadcast_unary_normal_no_complex,
without=['uint16'
]), # The reason that 'uint16' is excluted is that
# theano works well but numpy overflows resulting
# in an assertion error.
# grad=_grad_broadcast_unary_normal,
name='SigmoidTester',
)
UltraFastSigmoidTester = makeBroadcastTester(
op=ultra_fast_sigmoid,
expected=upcast_int8_nfunc(
lambda inputs: check_floatX(inputs, 1 / (1 + np.exp(-inputs)))),
good=copymod(_good_broadcast_unary_normal_no_complex,
without=['uint16']), # numpy fucnting overflows with uint16.
from theano.tensor.tests.test_basic import (makeBroadcastTester, rand,
check_floatX, upcast_int8_nfunc,
_good_broadcast_unary_normal_no_complex)
class T_sigmoid(unittest.TestCase):
def setUp(self):
utt.seed_rng()
def test_elemwise(self):
utt.verify_grad(sigmoid, [numpy.random.rand(3, 4)])
SigmoidTester = makeBroadcastTester(
op=sigmoid,
expected=upcast_int8_nfunc(lambda inputs: check_floatX(
inputs, 1 / (1 + numpy.exp(-inputs)))),
good=_good_broadcast_unary_normal_no_complex,
# grad=_grad_broadcast_unary_normal,
name='SigmoidTester',
)
UltraFastSigmoidTester = makeBroadcastTester(
op=ultra_fast_sigmoid,
expected=upcast_int8_nfunc(lambda inputs: check_floatX(
inputs, 1 / (1 + numpy.exp(-inputs)))),
good=_good_broadcast_unary_normal_no_complex,
# grad=_grad_broadcast_unary_normal,
name='UltraFastSigmoidTester',
# This is an approx of the sigmoid. That is why we raise eps
eps=5e-2)