Update following code review.

doc/index.txt

@@ -20,7 +20,7 @@ since 2007.  But it is also approachable enough to be used in the classroom
 News
 ====
 
-* New technical report on Theano: `Theano: new features and speed improvements <http://arxiv.org/abs/1211.5590>`_. Please cite the other paper bellow.
+* New technical report on Theano: `Theano: new features and speed improvements <http://arxiv.org/abs/1211.5590>`_. Please cite the other paper below.
 
 * Theano 0.6rc2 was released. Everybody is encouraged to update.
 

theano/tensor/nnet/nnet.py

@@ -752,8 +752,7 @@ class CrossentropySoftmaxArgmax1HotWithBias(gof.Op):
                 or x.type.dtype not in ['float32', 'float64']:
             raise ValueError('b must be 1-d tensor of floats', b.type)
         if y_idx.type.ndim != 1 \
-                or y_idx.type.dtype not in ['int8', 'int16', 'int32', 'int64',
-                'uint8', 'uint16', 'uint32', 'uint64']:
+                or y_idx.type.dtype not in tensor.discrete_dtypes:
             raise ValueError('y_idx must be 1-d tensor of [u]ints', y_idx.type)
 
 #       TODO: Is this correct? It used to be y, not y_idx
@@ -885,19 +884,6 @@ class CrossentropySoftmaxArgmax1HotWithBias(gof.Op):
             PyErr_SetString(PyExc_ValueError, "y_idx not 1d tensor");
             %(fail)s;
         }
-        if ((PyArray_DESCR(%(y_idx)s)->type_num != NPY_INT64)
-            && (PyArray_DESCR(%(y_idx)s)->type_num != NPY_INT32)
-            && (PyArray_DESCR(%(y_idx)s)->type_num != NPY_INT16)
-            && (PyArray_DESCR(%(y_idx)s)->type_num != NPY_INT8)
-            && (PyArray_DESCR(%(y_idx)s)->type_num != NPY_UINT64)
-            && (PyArray_DESCR(%(y_idx)s)->type_num != NPY_UINT32)
-            && (PyArray_DESCR(%(y_idx)s)->type_num != NPY_UINT16)
-            && (PyArray_DESCR(%(y_idx)s)->type_num != NPY_UINT8))
-        {
-            PyErr_SetString(PyExc_TypeError,
-                 "y_idx not [u]int8, [u]int16, [u]int32, or [u]int64");
-            %(fail)s;
-        }
         if (PyArray_DIMS(%(x)s)[0] != PyArray_DIMS(%(y_idx)s)[0])
         {
             PyErr_Format(PyExc_ValueError,
@@ -987,6 +973,15 @@ class CrossentropySoftmax1HotWithBiasDx (gof.Op):
         dy = tensor.as_tensor_variable(dy)
         sm = tensor.as_tensor_variable(sm)
         y_idx = tensor.as_tensor_variable(y_idx)
+        if (dy.type.ndim != 1 or
+            dy.type.dtype not in ['float32', 'float64']):
+            raise ValueError('dy must be 1-d tensor of floats', dy.type)
+        if (sm.type.ndim != 2 or
+            sm.type.dtype not in ['float32', 'float64']):
+            raise ValueError('sm must be 1-d tensor of floats', sm.type)
+        if (y_idx.type.ndim != 1 or
+            y_idx.type.dtype not in tensor.discrete_dtypes):
+            raise ValueError('y_idx must be 1-d tensor of [u]ints', y_idx.type)
         return Apply(self, [dy, sm, y_idx], [sm.type.make_variable()])
 
     def perform(self, node, input_storage, output_storage):
@@ -1039,19 +1034,6 @@ class CrossentropySoftmax1HotWithBiasDx (gof.Op):
                  "sm type should be float32 or float64");
             %(fail)s;
         }
-        if ((PyArray_DESCR(%(y_idx)s)->type_num != NPY_INT64)
-            && (PyArray_DESCR(%(y_idx)s)->type_num != NPY_INT32)
-            && (PyArray_DESCR(%(y_idx)s)->type_num != NPY_INT16)
-            && (PyArray_DESCR(%(y_idx)s)->type_num != NPY_INT8)
-            && (PyArray_DESCR(%(y_idx)s)->type_num != NPY_UINT64)
-            && (PyArray_DESCR(%(y_idx)s)->type_num != NPY_UINT32)
-            && (PyArray_DESCR(%(y_idx)s)->type_num != NPY_UINT16)
-            && (PyArray_DESCR(%(y_idx)s)->type_num != NPY_UINT8))
-        {
-            PyErr_SetString(PyExc_TypeError,
-                 "y_idx not [u]int8, [u]int16, [u]int32, or [u]int64");
-            %(fail)s;
-        }
         if ((PyArray_NDIM(%(dnll)s) != 1)
             || (PyArray_NDIM(%(sm)s) != 2)
             || (PyArray_NDIM(%(y_idx)s) != 1))