added try-except block to cuda.__init__ for when compilation and loading of cuda_ndarray fails

theano/sandbox/cuda/__init__.py

@@ -5,7 +5,7 @@ from theano import config
 import logging, copy
 _logger_name = 'theano.sandbox.cuda'
 _logger = logging.getLogger(_logger_name)
-_logger.setLevel(logging.INFO)
+_logger.setLevel(logging.WARNING)
 _logger.addHandler(logging.StreamHandler())
 def warning(*msg):
     _logger.warning(_logger_name+'WARNING: '+' '.join(str(m) for m in msg))
@@ -63,7 +63,8 @@ if not compile_cuda_ndarray:
     except ImportError:
         compile_cuda_ndarray = True
 
-if compile_cuda_ndarray:
+try:
+    if compile_cuda_ndarray:
         import nvcc_compiler
         if not nvcc_compiler.is_nvcc_available():
             set_cuda_disabled()
@@ -78,6 +79,9 @@ if compile_cuda_ndarray:
                                                   include_dirs=[cuda_path], libs=['cublas'])
 
             from cuda_ndarray.cuda_ndarray import *
+except Exception, e:
+    _logger.error( "Failed to compile cuda_ndarray.cu: %s" % str(e))
+    set_cuda_disabled()
 
 if enable_cuda:
     #check if their is an old cuda_ndarray that was loading instead of the one we compiled!
@@ -139,6 +143,5 @@ def handle_shared_float32(tf):
     else:
         raise NotImplementedError('removing our handler')
 
-
 if enable_cuda and config.device.startswith('gpu'):
     use()