flake8

theano/sandbox/cuda/dnn.py

@@ -34,6 +34,7 @@ from theano.tensor.nnet.abstract_conv import (AbstractConv2d,
                                               AbstractConv2d_gradWeights,
                                               AbstractConv2d_gradInputs)
 
+
 def dnn_available():
     if dnn_available.avail is None:
         if not theano.sandbox.cuda.cuda_available:
@@ -67,7 +68,8 @@ if ((err = cudnnCreate(&_handle)) != CUDNN_STATUS_SUCCESS) {
             if config.dnn.library_path:
                 params.append("-L" + config.dnn.library_path)
             if config.nvcc.compiler_bindir:
-                params.extend(['--compiler-bindir', config.nvcc.compiler_bindir])
+                params.extend(['--compiler-bindir',
+                               config.nvcc.compiler_bindir])
             # Do not run here the test program. It would run on the
             # default gpu, not the one selected by the user. If mixed
             # GPU are installed or if the GPUs are configured in
@@ -1263,6 +1265,7 @@ def dnn_gradweight(img, topgrad,
     out = gpu_alloc_empty(*kerns_shp)
     return GpuDnnConvGradW()(img, topgrad, out, desc)
 
+
 def dnn_gradinput(kerns, topgrad,
                   img_shp,
                   border_mode='valid', subsample=(1, 1),
@@ -1550,8 +1553,8 @@ if (err%(name)s != CUDNN_STATUS_SUCCESS) {
 }
 """ % dict(out=out, desc=desc, fail=sub['fail'],
            name=name, input=inputs[0],
-           input_desc="input"+name,
-           output_desc="output"+name)
+           input_desc="input" + name,
+           output_desc="output" + name)
 
     def grad(self, inp, grads):
         img, desc = inp
@@ -1745,10 +1748,10 @@ if (err%(name)s != CUDNN_STATUS_SUCCESS) {
 """ % dict(output_grad=out_grad, desc=desc,
            fail=sub['fail'], name=name,
            input=inp, input_grad=inp_grad, output=out,
-           input_desc="input"+name,
-           input_grad_desc="input_grad"+name,
-           output_desc="output"+name,
-           output_grad_desc="output_grad"+name)
+           input_desc="input" + name,
+           input_grad_desc="input_grad" + name,
+           output_desc="output" + name,
+           output_grad_desc="output_grad" + name)
 
     def c_code_cache_version(self):
         return (7, version())

theano/tests/test_flake8.py

@@ -106,7 +106,6 @@ whitelist_flake8 = [
     "sandbox/tests/test_neighbourhoods.py",
     "sandbox/tests/test_multinomial.py",
     "sandbox/tests/__init__.py",
-    "sandbox/cuda/dnn.py",
     "sandbox/cuda/var.py",
     "sandbox/cuda/GpuConvGrad3D.py",
     "sandbox/cuda/basic_ops.py",