Made public list of available conv algo

theano/configdefaults.py

@@ -287,6 +287,20 @@ def safe_no_dnn_algo_bwd(algo):
             '`dnn.conv.algo_bwd_filter` and `dnn.conv.algo_bwd_data` instead.')
     return True
 
+# Those are the supported algorithm by Theano,
+# The tests will reference those lists.
+SUPPORTED_DNN_CONV_ALGO_FWD = ('small', 'none', 'large', 'fft', 'fft_tiling',
+                               'guess_once', 'guess_on_shape_change',
+                               'time_once', 'time_on_shape_change')
+
+SUPPORTED_DNN_CONV_ALGO_BWD_DATA = ('none', 'deterministic', 'fft', 'fft_tiling',
+                                    'guess_once', 'guess_on_shape_change',
+                                    'time_once', 'time_on_shape_change')
+
+SUPPORTED_DNN_CONV_ALGO_BWD_FILTER = ('none', 'deterministic', 'fft', 'small',
+                                      'guess_once', 'guess_on_shape_change',
+                                      'time_once', 'time_on_shape_change')
+
 AddConfigVar('dnn.conv.algo_bwd',
              "This flag is deprecated; use dnn.conv.algo_bwd_data and "
              "dnn.conv.algo_bwd_filter.",
@@ -296,26 +310,20 @@ AddConfigVar('dnn.conv.algo_bwd',
 
 AddConfigVar('dnn.conv.algo_fwd',
              "Default implementation to use for CuDNN forward convolution.",
-             EnumStr('small', 'none', 'large', 'fft', 'fft_tiling',
-                     'guess_once', 'guess_on_shape_change',
-                     'time_once', 'time_on_shape_change'),
+             EnumStr(*SUPPORTED_DNN_CONV_ALGO_FWD),
              in_c_key=False)
 
 AddConfigVar('dnn.conv.algo_bwd_data',
              "Default implementation to use for CuDNN backward convolution to "
              "get the gradients of the convolution with regard to the inputs.",
-             EnumStr('none', 'deterministic', 'fft', 'fft_tiling',
-                     'guess_once', 'guess_on_shape_change', 'time_once',
-                     'time_on_shape_change'),
+             EnumStr(*SUPPORTED_DNN_CONV_ALGO_BWD_DATA),
              in_c_key=False)
 
 AddConfigVar('dnn.conv.algo_bwd_filter',
              "Default implementation to use for CuDNN backward convolution to "
              "get the gradients of the convolution with regard to the "
              "filters.",
-             EnumStr('none', 'deterministic', 'fft', 'small', 'guess_once',
-                     'guess_on_shape_change', 'time_once',
-                     'time_on_shape_change'),
+             EnumStr(*SUPPORTED_DNN_CONV_ALGO_BWD_FILTER),
              in_c_key=False)
 
 AddConfigVar('dnn.conv.precision',

theano/sandbox/gpuarray/dnn.py

@@ -34,6 +34,8 @@ from .nnet import GpuSoftmax
 from .opt import gpu_seqopt, register_opt, conv_groupopt, op_lifter
 from .opt_util import alpha_merge, output_merge, inplace_allocempty
 
+from theano.configdefaults import SUPPORTED_DNN_CONV_ALGO_BWD_FILTER
+
 
 def raise_no_cudnn(msg="CuDNN is required for convolution and pooling"):
     raise RuntimeError(msg)
@@ -583,9 +585,7 @@ class GpuDnnConvGradW(DnnBase):
             algo = config.dnn.conv.algo_bwd_filter
         self.algo = algo
 
-        assert self.algo in ['none', 'deterministic', 'fft', 'small',
-                             'guess_once', 'guess_on_shape_change',
-                             'time_once', 'time_on_shape_change']
+        assert self.algo in SUPPORTED_DNN_CONV_ALGO_BWD_FILTER
 
     def __setstate__(self, d):
         self.__dict__.update(d)