Made corrections.

theano/scalar/basic_scipy.py

@@ -86,6 +86,11 @@ class Gamma(UnaryScalarOp):
     def grad(self, (x, ), (gz, )):
         return gz * gamma(x) * psi(x),
 
+    def c_code(self, node, name, (x, ), (z, ), sub):
+        if node.inputs[0].type in float_types:
+            return """%(z)s = tgamma(%(x)s);""" % locals()
+        raise NotImplementedError('only floating point is implemented')
+
     def __eq__(self, other):
         return type(self) == type(other)
 

theano/tensor/inplace.py

@@ -259,6 +259,10 @@ def mod_inplace(a, b):
 def pow_inplace(a, b):
     """elementwise power (inplace on `a`)"""
 
+@_scal_inplace
+def conj_inplace(a):
+    """elementwise conjugate (inplace on `a`)"""
+
 pprint.assign(add_inplace, printing.OperatorPrinter('+=', -2, 'either'))
 pprint.assign(mul_inplace, printing.OperatorPrinter('*=', -1, 'either'))
 pprint.assign(sub_inplace, printing.OperatorPrinter('-=', -2, 'left'))

theano/tensor/tests/test_basic.py

@@ -1383,6 +1383,12 @@ ConjTester = makeBroadcastTester(
     op=tensor.conj,
     expected=numpy.conj,
     good=_good_broadcast_unary_normal)
+ConjInplaceTester = makeBroadcastTester(
+    op=tensor.conj,
+    expected=numpy.conj,
+    good=_good_broadcast_unary_normal,
+    inplace=True)
+
 
 DotTester = makeTester(name = 'DotTester',
                         op = dot,