Flake8 for gpuarray/opt.py

theano/sandbox/gpuarray/opt.py

@@ -10,9 +10,7 @@ except ImportError:
 from theano import tensor, scalar, gof
 from theano.compile import optdb
 from theano.gof import (local_optimizer, EquilibriumDB,
-                        SequenceDB, ProxyDB,
-                        Optimizer, toolbox,
-                        InconsistencyError, EquilibriumOptimizer)
+                        SequenceDB, Optimizer, toolbox)
 
 from theano.scan_module import scan_utils, scan_op, scan_opt
 
@@ -28,10 +26,8 @@ from .conv import GpuConv
 from .nnet import (GpuCrossentropySoftmaxArgmax1HotWithBias,
                    GpuCrossentropySoftmax1HotWithBiasDx,
                    GpuSoftmaxWithBias, GpuSoftmax)
-from .elemwise import (GpuElemwise, _is_scalar,
-                       GpuDimShuffle, GpuCAReduceCuda,
+from .elemwise import (GpuElemwise, GpuDimShuffle, GpuCAReduceCuda,
                        GpuCAReduceCPY)
-from . import fp16_help
 from .subtensor import (GpuIncSubtensor, GpuSubtensor,
                         GpuAdvancedIncSubtensor1,
                         GpuAdvancedIncSubtensor1_dev20)
@@ -135,7 +131,7 @@ class InputToGpuOptimizer(Optimizer):
                 new_input = host_from_gpu(gpu_from_host(input))
                 fgraph.replace_validate(input, new_input,
                                         "InputToGpuOptimizer")
-            except TypeError as e:
+            except TypeError:
                 # This could fail if the inputs are not TensorTypes
                 pass
 
@@ -393,7 +389,6 @@ def local_gpua_advanced_incsubtensor(node):
         return None
 
     x, y = node.inputs[0:2]
-    coords = node.inputs[2:]
     set_instead_of_inc = node.op.set_instead_of_inc
     active_device_no = theano.sandbox.cuda.active_device_number()
     device_properties = theano.sandbox.cuda.device_properties
@@ -642,8 +637,7 @@ def local_gpu_elemwise_careduce(node):
             # automatically add more case, as some like trigonometic
             # operation with some reduction pattern will probably result
             # to slow down.
-        isinstance(node.inputs[0].owner.op.scalar_op, scalar.basic.Sqr)
-        ):
+            isinstance(node.inputs[0].owner.op.scalar_op, scalar.basic.Sqr)):
         op = node.op
         inp = node.inputs[0].owner.inputs[0]
         return [GpuCAReduceCuda(scalar_op=op.scalar_op,

theano/tests/test_flake8.py

@@ -227,7 +227,6 @@ whitelist_flake8 = [
     "sandbox/gpuarray/elemwise.py",
     "sandbox/gpuarray/type.py",
     "sandbox/gpuarray/__init__.py",
-    "sandbox/gpuarray/opt.py",
     "sandbox/gpuarray/blas.py",
     "sandbox/gpuarray/kernel_codegen.py",
     "sandbox/gpuarray/conv.py",