fix stick man example

GPy/inference/latent_function_inference/exact_gaussian_inference.py

@@ -32,7 +32,7 @@ class ExactGaussianInference(object):
             return Y
         else:
             #if Y in self.cache, return self.Cache[Y], else store Y in cache and return L.
-            print "WARNING: N>D of Y, we need caching of L, such that L*L^T = Y, returning Y still!"
+            #print "WARNING: N>D of Y, we need caching of L, such that L*L^T = Y, returning Y still!"
             return Y
 
     def inference(self, kern, X, likelihood, Y, Y_metadata=None):

GPy/inference/latent_function_inference/var_dtc_gpu.py

@@ -109,7 +109,9 @@ class VarDTC_GPU(object):
             x0, x1 = 0.,0.
         y0, y1 = self._estimateMemoryOccupation(N, M, D)
         
-        return int((self.gpu_memory-y0-x0)/(x1+y1))
+        opt_batchsize = min(int((self.gpu_memory-y0-x0)/(x1+y1)), N)
+        
+        return opt_batchsize
         
     def _get_YYTfactor(self, Y):
         """