Fix bug in GpuCrossentropy...1Hot...Dx

theano/gpuarray/nnet.py

@@ -369,7 +369,7 @@ class GpuCrossentropySoftmax1HotWithBiasDx(GpuKernelBase, Op):
         return node.inputs[0].type.context
 
     def c_code_cache_version(self):
-        return (11,)
+        return (12,)
 
     def c_headers(self):
         return ['<numpy_compat.h>', '<gpuarray/types.h>']
@@ -499,7 +499,8 @@ class GpuCrossentropySoftmax1HotWithBiasDx(GpuKernelBase, Op):
         load_sm = load_w(dtype_sm)
         write_dx = write_w(dtype_dx)
         flags = Kernel.get_flags(dtype_dnll, dtype_sm, dtype_y_idx, dtype_dx)
-        type_dnll = gpuarray.dtype_to_ctype(work_dnll)
+        wtype_dnll = gpuarray.dtype_to_ctype(work_dnll)
+        type_dnll = gpuarray.dtype_to_ctype(dtype_dnll)
         type_sm = gpuarray.dtype_to_ctype(dtype_sm)
         type_y_idx = gpuarray.dtype_to_ctype(dtype_y_idx)
         type_dx = gpuarray.dtype_to_ctype(dtype_dx)
@@ -525,7 +526,7 @@ class GpuCrossentropySoftmax1HotWithBiasDx(GpuKernelBase, Op):
 
             for (int i = blockIdx.x; i < N; i += gridDim.x)
             {
-                %(type_dnll)s dnll_i = %(load_dnll)s(dnll[i * dnll_s0]);
+                %(wtype_dnll)s dnll_i = %(load_dnll)s(dnll[i * dnll_s0]);
                 %(type_y_idx)s y_i = y_idx[i * y_idx_s0];
 
                 for (int j = threadIdx.x; j < K; j += blockDim.x)