Fix optimization to check if cudnn available

theano/gpuarray/opt.py

@@ -1596,7 +1596,11 @@ def local_gpua_lift_abstractconv_graph(op, context_name, inputs, outputs):
 @op_lifter([pool.Pool])
 @register_opt2([pool.Pool])
 def local_gpu_pool(op, ctx_name, inputs, outputs):
+    from .dnn import dnn_available
     assert op.__props__ == ('ignore_border', 'mode', 'ndim')
+    if op.ignore_border and dnn_available(ctx_name):
+        return
+
     inp, ws, stride, pad = inputs
     nd = op.ndim
     if nd not in (2, 3):
@@ -1617,7 +1621,11 @@ def local_gpu_pool(op, ctx_name, inputs, outputs):
 @op_lifter([pool.MaxPoolGrad])
 @register_opt2([pool.MaxPoolGrad])
 def local_gpu_max_pool_grad(op, ctx_name, inputs, outputs):
+    from .dnn import dnn_available
     assert op.__props__ == ('ignore_border', 'mode', 'ndim')
+    if op.ignore_border and dnn_available(ctx_name):
+        return
+
     inp, out, out_grad, ws, stride, pad = inputs
     nd = op.ndim
     if nd not in (2, 3):
@@ -1643,7 +1651,11 @@ def local_gpu_max_pool_grad(op, ctx_name, inputs, outputs):
 @op_lifter([pool.AveragePoolGrad])
 @register_opt2([pool.AveragePoolGrad])
 def local_gpu_average_pool_grad(op, ctx_name, inputs, outputs):
+    from .dnn import dnn_available
     assert op.__props__ == ('ignore_border', 'mode', 'ndim')
+    if op.ignore_border and dnn_available(ctx_name):
+        return
+
     inp, out_grad, ws, stride, pad = inputs
     nd = op.ndim
     if nd not in (2, 3):