fix the __hash__ of inplace pattern in pycuda op.

theano/misc/pycuda_example.py

@@ -28,6 +28,7 @@ from theano.sandbox.cuda import GpuElemwise, CudaNdarrayType, GpuOp
 from theano.sandbox.cuda.basic_ops import (as_cuda_ndarray_variable,
                                            gpu_contiguous)
 from theano.sandbox.cuda.opt import gpu_seqopt
+from theano.tensor.utils import hash_from_dict
 
 import pycuda_init
 if not pycuda_init.pycuda_available:
@@ -116,7 +117,7 @@ class PycudaElemwiseKernelOp(GpuOp):
 
     def __hash__(self):
         return (hash(type(self)) ^ hash(self.scalar_op) ^
-                hash(self.inplace_pattern))
+                hash_from_dict(self.inplace_pattern))
 
     def make_node(self, *inputs):
         _inputs = [gpu_contiguous(as_cuda_ndarray_variable(i)) for i in inputs]
@@ -202,7 +203,7 @@ class PycudaElemwiseSourceModuleOp(GpuOp):
 
     def __hash__(self):
         return (hash(type(self)) ^ hash(self.scalar_op) ^
-                hash(self.inplace_pattern))
+                hash_from_dict(self.inplace_pattern))
 
     def make_node(self, *inputs):
         _inputs = [gpu_contiguous(as_cuda_ndarray_variable(i)) for i in inputs]