Add c code to abs for uint* and bool

theano/gpuarray/tests/test_misc.py

 # Test that normaly could be outside gpuarray, to have all gpuarray
 # tests in the same directory, we put them here.
+import numpy as np
 
 import theano
 from theano import tensor
@@ -9,9 +10,12 @@ from .config import mode_with_gpu
 
 
 def test_nan_guard_mode():
-    x = tensor.vector(dtype='int64')
-    y = x + 1
-    mode = NanGuardMode(nan_is_error=True, optimizer=mode_with_gpu.optimizer)
-    f = theano.function([x], y, mode=mode)
-    theano.printing.debugprint(f)
-    f([23, 7])
+    # Also test that abs uint* and bool have c code.
+    for dtype in ['uint8', 'int64', 'bool']:
+        x = tensor.vector(dtype=dtype)
+        y = x + 1
+        mode = NanGuardMode(nan_is_error=True,
+                            optimizer=mode_with_gpu.optimizer)
+        f = theano.function([x], y, mode=mode)
+        d = np.asarray([23, 7]).astype(dtype)
+        assert np.allclose(f(d), d + 1)

theano/scalar/basic.py

@@ -2420,6 +2420,11 @@ class Abs(UnaryScalarOp):
             return "%(z)s = fabs(%(x)s);" % locals()
         if type in complex_types:
             return "%(z)s = sqrt(%(x)s.real*%(x)s.real + %(x)s.imag*%(x)s.imag);" % locals()
+        if node.outputs[0].type == bool:
+            return "%(z)s = (%(x)s) ? 1 : 0;" % locals()
+        if type in uint_types:
+            # uint are always already absolute value.
+            return "%(z)s = %(x)s;" % locals()
         raise NotImplementedError('type not supported', type)
 abs_ = Abs(same_out)