Update to the new signature for new_GpuArray().

theano/sandbox/gpuarray/basic_ops.py

@@ -66,7 +66,7 @@ class HostFromGpu(Op):
         } else {
             %(name)s_ga = &%(inp)s->ga;
         }
-        %(name)s_dtype = typecode_to_dtype(%(inp)s->ga.typecode);
+        %(name)s_dtype = typecode_to_dtype(%(name)s_ga->typecode);
         Py_XDECREF(%(out)s);
         // PyArray_Empty below steals a reference to the dtype we pass it
         // so we need an extra one to spare.
@@ -158,7 +158,7 @@ class GpuFromHost(Op):
             %(fail)s
         }
         Py_XDECREF(%(out)s);
-        %(out)s = new_GpuArray((PyObject *)&GpuArrayType, GpuArray_default_context());
+        %(out)s = new_GpuArray((PyObject *)&GpuArrayType, GpuArray_default_context(), Py_None);
         if (%(out)s == NULL) {
             Py_DECREF(%(name)s_tmp);
             // new_GpuArray calls __new__ which will set an error message
@@ -191,7 +191,7 @@ class GpuFromHost(Op):
                'out': outputs[0], 'fail': sub['fail']}
 
     def c_code_cache_version(self):
-        return (1,)
+        return (2,)
 
 gpu_from_host = GpuFromHost()
 
@@ -298,7 +298,7 @@ class GpuFromCuda(Op):
         }
 
         Py_XDECREF(%(out)s);
-        %(out)s = new_GpuArray((PyObject *)&GpuArrayType, GpuArray_default_context());
+        %(out)s = new_GpuArray((PyObject *)&GpuArrayType, GpuArray_default_context(), Py_None);
         if (%(out)s == NULL) {
             free(%(name)sdims);
             free(%(name)sstr);
@@ -332,7 +332,7 @@ class GpuFromCuda(Op):
                'fail': sub['fail']}
 
     def c_code_cache_version(self):
-        return (1,)
+        return (2,)
 
 gpu_from_cuda = GpuFromCuda()
 

theano/sandbox/gpuarray/elemwise.py

@@ -264,7 +264,7 @@ class GpuDimShuffle(DimShuffle):
         }
 
         Py_XDECREF(%(out)s);
-        %(out)s = new_GpuArray((PyObject *)&GpuArrayType, GpuArray_default_context());
+        %(out)s = new_GpuArray((PyObject *)&GpuArrayType, GpuArray_default_context(), Py_None);
         if (%(out)s == NULL) {%(fail)s}
 
         if (%(name)s_f(%(out)s, %(inp)s)) {
@@ -289,4 +289,4 @@ class GpuDimShuffle(DimShuffle):
         return process
 
     def c_code_cache_version(self):
-        return (0,)
+        return (1,)

theano/sandbox/gpuarray/subtensor.py

@@ -77,7 +77,7 @@ class GpuSubtensor(Subtensor):
             // Try to reuse the python object.
             GpuArray_clear(&%(out)s->ga);
         } else {
-            %(out)s = new_GpuArray((PyObject *)&GpuArrayType, GpuArray_default_context);
+            %(out)s = new_GpuArray((PyObject *)&GpuArrayType, GpuArray_default_context, Py_None);
         }
         if (!%(out)s) { %(fail)s }
         int %(name)s_err;
@@ -94,15 +94,4 @@ class GpuSubtensor(Subtensor):
         return sio.getvalue()
 
     def c_code_cache_version(self):
-        return (0,)
-
-    def grad(self, inputs, grads):
-        gz, = grads
-        x = inputs[0]
-        rest = inputs[1:]
-        output = self(*inputs)
-        if output.dtype.find('int') != -1:
-            first = x.zeros_like(theano.config.floatX)
-        else:
-            first = GpuIncSubtensor(self.idx_list)(x.zeros_like(), gz, *rest)
-        return ([first] + [DisconnectedType()()] * len(rest))
+        return (1,)