Fix typos, remove useless tests.

theano/gpuarray/dnn_fwd.c

@@ -171,7 +171,7 @@ APPLY_SPECIFIC(conv_fwd)(PyGpuArrayObject *input, PyGpuArrayObject *kerns,
     algo = CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM;
 
   // Algo `small` does not work for a batch size > 2^16, with cuDNN >= V5.1.
-  // Issue should have been resolved for cuDNN >= V6.0.20.
+  // Issue should be resolved for cuDNN > V6.0.20.
   if (cudnnGetVersion() <= 6020 &&
       algo == CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM &&
       PyGpuArray_DIM(input, 0) > 65536)

theano/gpuarray/tests/test_dnn.py

@@ -1111,17 +1111,17 @@ def run_conv_small_batched_vs_multicall(inputs_shape, filters_shape, batch_sub):
 
 
 def test_batched_conv_small():
-    yield (run_conv_small_batched_vs_multicall, (65534, 2, 2, 2), (1, 2, 2, 2), 5)  # OK
-    yield (run_conv_small_batched_vs_multicall, (65535, 2, 2, 2), (1, 2, 2, 2), 5)  # OK
-    yield (run_conv_small_batched_vs_multicall, (65536, 2, 2, 2), (1, 2, 2, 2), 5)  # OK
-    yield (run_conv_small_batched_vs_multicall, (65537, 2, 2, 2), (1, 2, 2, 2), 5)  # ERROR
+    # OK
+    yield (run_conv_small_batched_vs_multicall, (65536, 2, 2, 2), (1, 2, 2, 2), 5)
+    # Should fail with cuDNN < V6020, but there's currently a workaround in `dnn_fwd.c` for that case.
+    yield (run_conv_small_batched_vs_multicall, (65537, 2, 2, 2), (1, 2, 2, 2), 5)
 
 
 def test_batched_conv3d_small():
-    yield (run_conv_small_batched_vs_multicall, (65534, 2, 2, 2, 2), (1, 2, 2, 2, 2), 5)  # OK
-    yield (run_conv_small_batched_vs_multicall, (65535, 2, 2, 2, 2), (1, 2, 2, 2, 2), 5)  # OK
-    yield (run_conv_small_batched_vs_multicall, (65536, 2, 2, 2, 2), (1, 2, 2, 2, 2), 5)  # OK
-    yield (run_conv_small_batched_vs_multicall, (65537, 2, 2, 2, 2), (1, 2, 2, 2, 2), 5)  # ERROR ALSO.
+    # OK
+    yield (run_conv_small_batched_vs_multicall, (65536, 2, 2, 2, 2), (1, 2, 2, 2, 2), 5)
+    # Should fail with cuDNN < V6020, but there's currently a workaround in `dnn_fwd.c` for that case.
+    yield (run_conv_small_batched_vs_multicall, (65537, 2, 2, 2, 2), (1, 2, 2, 2, 2), 5)
 
 
 def test_conv3d_fwd():