better skip message and replace the theano_cuda_ndarray name to theano.sandbox.cuda in logger

theano/sandbox/cuda/__init__.py

@@ -4,7 +4,7 @@ from theano.compile import optdb
 import theano.config as config
 
 import logging, copy
-_logger_name = 'theano_cuda_ndarray'
+_logger_name = 'theano.sandbox.cuda'
 _logger = logging.getLogger(_logger_name)
 _logger.setLevel(logging.INFO)
 _logger.addHandler(logging.StreamHandler())
@@ -110,9 +110,9 @@ def use(device=config.THEANO_GPU):
             handle_shared_float32(True)
             use.device_number = device
         except RuntimeError, e:
-            logging.getLogger('theano_cuda_ndarray').warning("WARNING: Won't use the GPU as the initialisation of device %i failed. %s" %(device, e))
+            logging.getLogger('theano.sandbox.cuda').warning("WARNING: Won't use the GPU as the initialisation of device %i failed. %s" %(device, e))
     elif use.device_number != device:
-        logging.getLogger('theano_cuda_ndarray').warning("WARNING: ignoring call to use(%s), GPU number %i is already in use." %(str(device), use.device_number))
+        logging.getLogger('theano.sandbox.cuda').warning("WARNING: ignoring call to use(%s), GPU number %i is already in use." %(str(device), use.device_number))
     optdb.add_tags('gpu',
                    'fast_run',
                    'inplace')

theano/sandbox/cuda/basic_ops.py

@@ -10,7 +10,7 @@ from theano.sandbox.cuda import filter as type_support_filter
 from theano.sandbox.cuda.elemwise import NaiveAlgo
 
 import logging, copy
-_logger_name = 'theano_cuda_ndarray.basic_ops'
+_logger_name = 'theano.sandbox.cuda.basic_ops'
 _logger = logging.getLogger(_logger_name)
 _logger.setLevel(logging.INFO)
 _logger.addHandler(logging.StreamHandler()) #TO REMOVE

theano/sandbox/cuda/elemwise.py

@@ -11,7 +11,7 @@ from theano import Op, Type, Apply, Variable, Constant
 from theano import tensor, scalar
 
 import logging, copy
-_logger_name = 'theano_cuda_ndarray.elemwise'
+_logger_name = 'theano.sandbox.cuda.elemwise'
 _logger = logging.getLogger(_logger_name)
 _logger.setLevel(logging.INFO)
 _logger.addHandler(logging.StreamHandler()) #TO REMOVE

theano/sandbox/cuda/nvcc_compiler.py

@@ -3,7 +3,7 @@ from theano.gof.cmodule import (std_libs, std_lib_dirs, std_include_dirs, dlimpo
     get_lib_extension)
 import theano.config as config
 
-_logger=logging.getLogger("theano_cuda_ndarray.nvcc_compiler")
+_logger=logging.getLogger("theano.sandbox.cuda.nvcc_compiler")
 _logger.setLevel(logging.WARN)
 
 def error(*args):

theano/sandbox/cuda/tests/test_basic_ops.py

@@ -12,7 +12,7 @@ import theano.tensor as T
 from nose.plugins.skip import SkipTest
 import theano.sandbox.cuda as cuda_ndarray
 if cuda_ndarray.enable_cuda == False:
-    raise SkipTest('Optional package cuda_ndarray not available')
+    raise SkipTest('Optional package cuda disabled')
 
 import theano.sandbox.cuda as tcn
 import theano.sandbox.cuda as cuda

theano/sandbox/cuda/tests/test_bench_loopfusion.py

@@ -271,7 +271,7 @@ def test_bench_elemwise(n_iter=1000, **kwargs):
         from nose.plugins.skip import SkipTest
         import theano.sandbox.cuda as cuda_ndarray
         if cuda_ndarray.enable_cuda == False:
-            raise SkipTest('Optional package cuda_ndarray not available')
+            raise SkipTest('Optional package cuda disabled')
         import theano.sandbox.cuda
         theano.sandbox.cuda.use()
 

theano/sandbox/cuda/tests/test_blas.py

@@ -9,7 +9,7 @@ import numpy
 from nose.plugins.skip import SkipTest
 import theano.sandbox.cuda as cuda_ndarray
 if cuda_ndarray.enable_cuda == False:
-    raise SkipTest('Optional package cuda_ndarray not available')
+    raise SkipTest('Optional package cuda disabled')
 
 import theano.sandbox.cuda as tcn
 

theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py

@@ -4,7 +4,7 @@ import numpy
 from nose.plugins.skip import SkipTest
 import theano.sandbox.cuda as cuda_ndarray
 if cuda_ndarray.enable_cuda == False:
-    raise SkipTest('Optional package cuda_ndarray not available')
+    raise SkipTest('Optional package cuda disabled')
     
 def py_conv_valid_numpy(img, kern):
     assert img.shape[1] == kern.shape[1]

theano/sandbox/cuda/tests/test_cuda_ndarray.py

@@ -3,7 +3,7 @@ import theano.sandbox.cuda as cuda_ndarray
 # Skip test if cuda_ndarray is not available.
 from nose.plugins.skip import SkipTest
 if cuda_ndarray.enable_cuda == False:
-        raise SkipTest('Optional package cuda_ndarray not available')
+        raise SkipTest('Optional package cuda disabled')
 import numpy
 
 def test_host_to_device():

theano/sandbox/cuda/tests/test_nnet.py

@@ -15,7 +15,7 @@ import numpy
 from nose.plugins.skip import SkipTest
 import theano.sandbox.cuda as cuda_ndarray
 if cuda_ndarray.enable_cuda == False:
-    raise SkipTest('Optional package cuda_ndarray not available')
+    raise SkipTest('Optional package cuda disabled')
 
 import theano.sandbox.cuda as tcn
 

theano/sandbox/cuda/tests/test_opt.py

@@ -9,7 +9,7 @@ import numpy
 from nose.plugins.skip import SkipTest
 import theano.sandbox.cuda as cuda_ndarray
 if cuda_ndarray.enable_cuda == False:
-    raise SkipTest('Optional package cuda_ndarray not available')
+    raise SkipTest('Optional package cuda disabled')
 
 import theano.compile.mode