Remove theano.tensor.nnet.sigm tests from tests.tensor.nnet.test_basic

tests/tensor/nnet/test_basic.py

@@ -52,7 +52,7 @@ from theano.tensor.nnet.basic import (
     softmax_with_bias,
     softsign,
 )
-from theano.tensor.nnet.sigm import sigmoid, softplus
+from theano.tensor.nnet.sigm import sigmoid
 from theano.tensor.shape import shape_padleft, specify_shape
 from theano.tensor.subtensor import AdvancedSubtensor
 from theano.tensor.type import (
@@ -71,22 +71,6 @@ from theano.tensor.type import (
 )
 
 
-class TestSigmoid:
-    def setup_method(self):
-        utt.seed_rng()
-
-    def test_elemwise(self):
-        utt.verify_grad(sigmoid, [np.random.rand(3, 4)])
-
-
-class TestSoftplus:
-    def setup_method(self):
-        utt.seed_rng()
-
-    def test_elemwise(self):
-        utt.verify_grad(softplus, [np.random.rand(3, 4)])
-
-
 class TestSoftmax(utt.InferShapeTester):
     def test_basic(self):
         def f(a):

tests/tensor/nnet/test_sigm.py

@@ -15,21 +15,19 @@ from theano.graph.opt import check_stack_trace
 from theano.graph.toolbox import is_same_graph
 from theano.tensor.inplace import neg_inplace
 from theano.tensor.math import clip, exp, log, mul, neg
-from theano.tensor.nnet import (
-    hard_sigmoid,
-    sigmoid,
-    sigmoid_inplace,
-    softplus,
-    ultra_fast_sigmoid,
-)
 from theano.tensor.nnet.sigm import (
     ScalarSoftplus,
     compute_mul,
+    hard_sigmoid,
     is_1pexp,
     parse_mul_tree,
     perform_sigm_times_exp,
     register_local_1msigmoid,
+    sigmoid,
+    sigmoid_inplace,
     simplify_mul,
+    softplus,
+    ultra_fast_sigmoid,
 )
 from theano.tensor.shape import Reshape
 from theano.tensor.type import fmatrix, matrix, scalar, vector, vectors