First step of conversion to the new back-end GpuCAReduce.

theano/sandbox/gpuarray/opt.py

@@ -24,7 +24,7 @@ from theano.sandbox.gpuarray.conv import GpuConv
 from theano.sandbox.gpuarray.nnet import (GpuCrossentropySoftmaxArgmax1HotWithBias,
                                           GpuCrossentropySoftmax1HotWithBiasDx)
 from theano.sandbox.gpuarray.elemwise import (GpuElemwise, _is_scalar,
-                                              GpuDimShuffle, GpuCAReduceCPY)
+                                              GpuDimShuffle, GpuCAReduce)
 from theano.sandbox.gpuarray.subtensor import GpuIncSubtensor, GpuSubtensor
 from theano.sandbox.gpuarray.type import GpuArrayConstant
 
@@ -249,7 +249,7 @@ def local_gpua_incsubtensor(node):
 def local_gpua_careduce(node):
     if (isinstance(node.op.scalar_op, scalar.basic.Add) or
         isinstance(node.op.scalar_op, scalar.basic.Mul)):
-        return GpuCAReduceCPY(node.op.scalar_op, axis=node.op.axis,
+        return GpuCAReduce(node.op.scalar_op, axis=node.op.axis,
                            dtype=getattr(node.op, 'dtype', None),
                            acc_dtype=getattr(node.op, 'acc_dtype', None))
 

theano/sandbox/gpuarray/tests/test_elemwise.py

@@ -10,7 +10,7 @@ from theano.tensor.tests.test_elemwise import (test_Broadcast, test_DimShuffle,
 
 from theano.sandbox.gpuarray.tests.test_basic_ops import rand_gpuarray
 from theano.sandbox.gpuarray.elemwise import (GpuElemwise, GpuDimShuffle,
-                                              GpuCAReduceCPY)
+                                              GpuCAReduce, GpuCAReduceCPY)
 from theano.sandbox.gpuarray.type import GpuArrayType
 
 from pygpu.array import gpuarray
@@ -65,3 +65,10 @@ class test_GpuCAReduceCPY(test_CAReduce):
             for op in self.reds:
                 self.with_linker(gof.CLinker(), op, dtype=dtype,
                                  test_nan=True)
+
+
+class test_GpuCAReduce(test_GpuCAReduceCPY):
+    dtypes = ["float32"]
+    bin_dtypes = ["uint8", "int8"]
+    op = GpuCAReduce
+    reds = [scalar.add, scalar.mul]

theano/sandbox/gpuarray/tests/test_opt.py

@@ -3,7 +3,7 @@ import numpy
 import theano
 from theano.tests import unittest_tools as utt
 from theano.sandbox.gpuarray.basic_ops import GpuAlloc, GpuReshape, gpu_alloc
-from theano.sandbox.gpuarray.elemwise import GpuCAReduceCPY
+from theano.sandbox.gpuarray.elemwise import GpuCAReduce
 import theano.sandbox.gpuarray
 from theano.tests.unittest_tools import SkipTest
 
@@ -69,7 +69,7 @@ def test_sum_prod():
         res = f(val)
         utt.assert_allclose(res, val.sum())
         assert res.shape == ()
-        assert GpuCAReduceCPY in [type(node.op)
+        assert GpuCAReduce in [type(node.op)
                                for node in f.maker.fgraph.toposort()]