Some flake8 bugfixes.

theano/sandbox/gpuarray/dnn.py

@@ -21,7 +21,7 @@ from theano.tensor.signal.downsample import (DownsampleFactorMax,
                                              MaxPoolGrad, AveragePoolGrad)
 
 from . import pygpu
-from .type import get_context, gpu_context_type, list_contexts
+from .type import get_context, gpu_context_type, list_contexts, GpuArrayType
 from .basic_ops import (as_gpuarray_variable, infer_context_name,
                         gpu_contiguous, HostFromGpu,
                         GpuAllocEmpty, empty_like)
@@ -837,7 +837,7 @@ def dnn_gradweight(img, topgrad, kerns_shp, border_mode='valid',
 
 def dnn_gradinput(kerns, topgrad, img_shp, border_mode='valid',
                   subsample=(1, 1), conv_mode='conv'):
-    ctx_name = infer_context_name(img, topgrad)
+    ctx_name = infer_context_name(kerns, topgrad)
     kerns = gpu_contiguous(kerns)
     topgrad = gpu_contiguous(topgrad)
     img_shp = as_tensor_variable(img_shp)
@@ -1268,6 +1268,7 @@ def local_conv_dnn_alternative(node):
 conv_groupopt.register('local_conv_dnn', local_conv_dnn, 20,
                        'conv_dnn', 'fast_compile', 'fast_run', 'cudnn')
 
+
 @local_optimizer([AbstractConv2d, AbstractConv2d_gradWeights,
                   AbstractConv2d_gradInputs])
 def local_abstractconv_cudnn(node):

theano/sandbox/gpuarray/opt.py

@@ -14,6 +14,7 @@ from theano.gof.optdb import LocalGroupDB
 from theano.scalar.basic import Scalar, Pow, Cast
 from theano.scan_module import scan_utils, scan_op, scan_opt
 
+from theano.tensor import as_tensor_variable
 from theano.tensor.nnet.conv import ConvOp
 from theano.tensor.nnet.abstract_conv2d import (BaseAbstractConv2d,
                                                 AbstractConv2d,
@@ -864,6 +865,7 @@ def local_lift_abstractconv2d(node, context_name):
                     as_gpuarray_variable(node.inputs[0],
                                          context_name=context_name))]
 
+
 @register_opt()
 @op_lifter([AbstractConv2d_gradWeights,
             AbstractConv2d_gradInputs])