allow importing theano.sandbox.cuda.{var,type} when nvcc is not their

theano/sandbox/cuda/__init__.py

@@ -100,6 +100,13 @@ if cuda_available:
         cuda_available = False
         cuda_initialization_error_message = e.message
 
+# We must do those import to be able to create the full doc when nvcc
+from theano.sandbox.cuda.var import (CudaNdarrayVariable,
+                                     CudaNdarrayConstant,
+                                     CudaNdarraySharedVariable,
+                                     float32_shared_constructor)
+from theano.sandbox.cuda.type import CudaNdarrayType
+
 if cuda_available:
     #check if their is an old cuda_ndarray that was loading instead of the one we compiled!
     import cuda_ndarray.cuda_ndarray
@@ -108,11 +115,6 @@ if cuda_available:
         
         warning("WARNING: cuda_ndarray was loaded from",cuda_ndarray.cuda_ndarray.__file__,"This is not expected as theano should compile it automatically for you. Do you have a directory called cuda_ndarray in your LD_LIBRARY_PATH environment variable? If so, please remove it as it is outdated!")
 
-    from theano.sandbox.cuda.type import CudaNdarrayType
-    from theano.sandbox.cuda.var import (CudaNdarrayVariable,
-            CudaNdarrayConstant,
-            CudaNdarraySharedVariable,
-            float32_shared_constructor)
     shared_constructor = float32_shared_constructor
 
     import basic_ops

theano/sandbox/cuda/type.py

@@ -8,10 +8,13 @@ from theano import Op, Type, Apply, Variable, Constant
 from theano import tensor, config
 from theano import scalar as scal
 
-import cuda_ndarray.cuda_ndarray as cuda
-import cuda_ndarray
-
-from theano.sandbox.cuda.nvcc_compiler import nvcc_module_compile_str
+try:
+    # We must do those import to be able to create the full doc when nvcc
+    import cuda_ndarray.cuda_ndarray as cuda
+    from theano.sandbox.cuda.nvcc_compiler import nvcc_module_compile_str
+    import cuda_ndarray
+except ImportError:
+    pass
 
 class CudaNdarrayType(Type):
 
@@ -358,4 +361,8 @@ copy_reg.constructor(CudaNdarray_unpickler)
 def CudaNdarray_pickler(cnda):
     return (CudaNdarray_unpickler, (numpy.asarray(cnda),))
 
-copy_reg.pickle(cuda.CudaNdarray, CudaNdarray_pickler, CudaNdarray_unpickler)
+try:
+    # In case cuda is not imported.
+    copy_reg.pickle(cuda.CudaNdarray, CudaNdarray_pickler, CudaNdarray_unpickler)
+except NameError:
+    pass

theano/sandbox/cuda/var.py

@@ -8,9 +8,12 @@ from theano import tensor
 from theano.compile import SharedVariable
 
 from theano.sandbox.cuda.type import CudaNdarrayType
-from theano.sandbox.cuda import filter as type_support_filter
-
-from theano.sandbox.cuda.basic_ops import HostFromGpu, GpuFromHost
+try:
+    # We must do those import to be able to create the full doc when nvcc
+    from theano.sandbox.cuda import filter as type_support_filter
+    from theano.sandbox.cuda.basic_ops import HostFromGpu, GpuFromHost
+except ImportError:
+    pass
 
 class _operators(tensor.basic._tensor_py_operators):
     """Define a few properties and conversion methods for CudaNdarray Variables.