remove GpuShape and associated opt as now we reuse the Shape Op with specific c code.

theano/sandbox/gpuarray/basic_ops.py

@@ -654,15 +654,6 @@ class GpuAlloc(HideC, Alloc):
 gpu_alloc = GpuAlloc()
 
 
-class GpuShape(HideC, tensor.Shape):
-    """
-    Implement Shape on the gpu.
-    """
-    def make_node(self, x):
-        return Apply(self, [x], [tensor.lvector()])
-gpu_shape = GpuShape()
-
-
 class GpuReshape(HideC, tensor.Reshape):
     """
     Implement Reshape on the gpu.

theano/sandbox/gpuarray/opt.py

@@ -14,9 +14,7 @@ from theano.sandbox.gpuarray.type import GpuArrayType
 from theano.sandbox.gpuarray.basic_ops import (host_from_gpu,
                                                gpu_from_host,
                                                gpu_alloc,
-                                               gpu_shape,
                                                GpuAlloc,
-                                               GpuShape,
                                                GpuReshape,
                                                GpuEye)
 from theano.sandbox.gpuarray.blas import gpu_dot22, GpuGemv, GpuGemm
@@ -339,20 +337,6 @@ def local_gpua_crossentropysoftmax1hotwithbiasdx(node):
     return GpuCrossentropySoftmax1HotWithBiasDx()
 
 
-@register_opt()
-@local_optimizer([tensor.Shape])
-def local_gpua_shape(node):
-    """
-    Can't use op_lifter as the output is on the GPU.
-    """
-    if isinstance(node.op, tensor.Shape):
-        x, = node.inputs
-        if x.owner and x.owner.op == host_from_gpu:
-            gpu_x, = x.owner.inputs
-            return [gpu_shape(gpu_x)]
-    return False
-
-
 @register_opt()
 @op_lifter([gpu_from_host, ConvOp])
 def local_gpu_conv(node):

theano/sandbox/gpuarray/tests/test_basic_ops.py

@@ -36,7 +36,7 @@ from theano.sandbox.gpuarray.basic_ops import (host_from_gpu, gpu_from_host,
                                                gpu_alloc, gpu_from_cuda,
                                                cuda_from_gpu, HostFromGpu,
                                                GpuFromHost, GpuReshape,
-                                               GpuEye, GpuShape)
+                                               GpuEye)
 
 from theano.tests import unittest_tools as utt
 utt.seed_rng()
@@ -307,7 +307,7 @@ def test_shape():
     topo = f.maker.fgraph.toposort()
     assert numpy.all(f(v) == (3, 4, 5))
     assert len(topo) == 1
-    assert isinstance(topo[0].op, GpuShape)
+    assert isinstance(topo[0].op, T.Shape)
 
 
 class G_reshape(T_reshape):