fix shape mismatch in GpuDnnPoolGrad

theano/sandbox/cuda/dnn.py

@@ -2321,10 +2321,10 @@ if True:
                 (inp_grad.owner and isinstance(inp_grad.owner.op,
                                                HostFromGpu))):
                 desc = GpuDnnPoolDesc(ws=ds, stride=st, mode=mode, pad=pad)()
+                contiguous_inp_grad = gpu_contiguous(inp_grad)
                 ret = GpuDnnPoolGrad()(gpu_contiguous(inp),
-                                       gpu_contiguous(numpy.empty((1,1,1,1),
-                                           dtype=numpy.float32)),
-                                       gpu_contiguous(inp_grad),
+                                       contiguous_inp_grad,
+                                       contiguous_inp_grad,
                                        desc)
                 return [host_from_gpu(ret)]
 

theano/sandbox/gpuarray/dnn.py

@@ -1763,9 +1763,10 @@ def local_avg_pool_dnn_grad_stride(node):
     mode = node.op.mode
 
     desc = GpuDnnPoolDesc(ws=ds, stride=st, mode=mode, pad=pad)()
+    contiguous_inp_grad = gpu_contiguous(inp_grad)
     return GpuDnnPoolGrad()(gpu_contiguous(inp),
-                            gpu_contiguous(numpy.empty((1, 1, 1, 1), dtype=numpy.float32)),
-                            gpu_contiguous(inp_grad),
+                            contiguous_inp_grad,
+                            contiguous_inp_grad,
                             desc)