Merge pull request #3524 from carriepl/scan_inplace_opt

theano/sandbox/cuda/__init__.py

@@ -316,7 +316,7 @@ if cuda_available:
             GpuDimShuffle, GpuCAReduce, GpuReshape, GpuContiguous,
             GpuSubtensor, GpuIncSubtensor,
             GpuAdvancedSubtensor1, GpuAdvancedIncSubtensor1,
-            GpuFlatten, GpuShape, GpuAlloc, GpuSplit,
+            GpuFlatten, GpuShape, GpuAlloc, GpuAllocEmpty, GpuSplit,
             GpuJoin, fscalar, fvector, fmatrix, frow, fcol,
             ftensor3, ftensor4,
             scalar, vector, matrix, row, col,
@@ -341,7 +341,7 @@ def use(device,
 
     Parameters
     ----------
-    device : string 
+    device : string
         "cpu", "gpu", "gpuN" (N is the device number to use).
     force
         Will always raise an exception if we can't use the gpu.

theano/sandbox/gpuarray/__init__.py

@@ -68,8 +68,9 @@ if pygpu:
             theano.compile.shared_constructor(gpuarray_shared_constructor)
             optdb.add_tags('gpuarray_opt', 'fast_run', 'fast_compile')
 
-        from .basic_ops import (GpuAlloc, GpuContiguous, GpuEye, GpuFromHost,
-                                GpuJoin, GpuReshape, GpuSplit, HostFromGpu)
+        from .basic_ops import (GpuAlloc, GpuAllocEmpty, GpuContiguous, GpuEye,
+                                GpuFromHost, GpuJoin, GpuReshape, GpuSplit,
+                                HostFromGpu)
         from .basic_ops import host_from_gpu, GpuFromHost
         from .elemwise import GpuElemwise
         from .subtensor import (GpuSubtensor, GpuIncSubtensor,

theano/tests/test_flake8.py

@@ -164,7 +164,6 @@ whitelist_flake8 = [
     "scan_module/scan_op.py",
     "scan_module/scan_perform_ext.py",
     "scan_module/__init__.py",
-    "scan_module/scan_opt.py",
     "scan_module/tests/test_scan.py",
     "scan_module/tests/test_scan_opt.py",
     "misc/tests/test_may_share_memory.py",