Remove import not used and fix output dtype computation.

theano/sandbox/gpuarray/nnet.py

@@ -3,9 +3,7 @@ from theano.compat.six import StringIO
 
 from theano.sandbox.cuda.nvcc_compiler import NVCC_compiler
 
-from theano.sandbox.cuda.kernel_codegen import (nvcc_kernel,
-                                                inline_softmax,
-                                                inline_softmax_fixed_shared)
+
 try:
     import pygpu
     from pygpu import gpuarray, elemwise
@@ -13,6 +11,7 @@ except ImportError:
     pass
 
 from theano.sandbox.gpuarray.basic_ops import as_gpuarray_variable
+from theano.sandbox.gpuarray.type import GpuArrayType
 
 
 class GpuCrossentropySoftmaxArgmax1HotWithBias(Op):
@@ -36,7 +35,8 @@ class GpuCrossentropySoftmaxArgmax1HotWithBias(Op):
         x = as_gpuarray_variable(x)
         b = as_gpuarray_variable(b)
         y_idx = as_gpuarray_variable(y_idx)
-        nll = y_idx.type()
+        nll = GpuArrayType(x.type.dtype,
+                           y_idx.type.broadcastable)()
         sm = x.type()
         am = y_idx.type()
         return Apply(self, [x, b, y_idx], [nll, sm, am])