Make code more clear by writing 'int64' directly in castings.

theano/gpuarray/pool.py

@@ -15,8 +15,6 @@ except ImportError as e:
     # To make sure theano is importable
     pass
 
-dtype_name_for_casting = 'int64'
-
 
 class GpuPool(CGpuKernelBase):
     """
@@ -70,9 +68,9 @@ class GpuPool(CGpuKernelBase):
         if pad.dtype not in theano.tensor.int_dtypes:
             raise TypeError('Padding parameters must be ints.')
 
-        ws = theano.tensor.cast(ws, dtype_name_for_casting)
-        stride = theano.tensor.cast(stride, dtype_name_for_casting)
-        pad = theano.tensor.cast(pad, dtype_name_for_casting)
+        ws = theano.tensor.cast(ws, 'int64')
+        stride = theano.tensor.cast(stride, 'int64')
+        pad = theano.tensor.cast(pad, 'int64')
 
         return Apply(self, [inp, ws, stride, pad], [inp.type()])
 
@@ -190,9 +188,9 @@ class GpuMaxPoolGrad(CGpuKernelBase):
         if pad.dtype not in theano.tensor.int_dtypes:
             raise TypeError('Padding parameters must be ints.')
 
-        ws = theano.tensor.cast(ws, dtype_name_for_casting)
-        stride = theano.tensor.cast(stride, dtype_name_for_casting)
-        pad = theano.tensor.cast(pad, dtype_name_for_casting)
+        ws = theano.tensor.cast(ws, 'int64')
+        stride = theano.tensor.cast(stride, 'int64')
+        pad = theano.tensor.cast(pad, 'int64')
 
         return Apply(self, [inp, out, out_grad, ws, stride, pad], [inp.type()])
 
@@ -269,9 +267,9 @@ class GpuAveragePoolGrad(CGpuKernelBase):
         if pad.dtype not in theano.tensor.int_dtypes:
             raise TypeError('Padding parameters must be ints.')
 
-        ws = theano.tensor.cast(ws, dtype_name_for_casting)
-        stride = theano.tensor.cast(stride, dtype_name_for_casting)
-        pad = theano.tensor.cast(pad, dtype_name_for_casting)
+        ws = theano.tensor.cast(ws, 'int64')
+        stride = theano.tensor.cast(stride, 'int64')
+        pad = theano.tensor.cast(pad, 'int64')
 
         return Apply(self, [inp, out_grad, ws, stride, pad], [inp.type()])
 
@@ -351,9 +349,9 @@ class GpuDownsampleFactorMaxGradGrad(CGpuKernelBase):
         if pad.dtype not in theano.tensor.int_dtypes:
             raise TypeError('Padding parameters must be ints.')
 
-        ws = theano.tensor.cast(ws, dtype_name_for_casting)
-        stride = theano.tensor.cast(stride, dtype_name_for_casting)
-        pad = theano.tensor.cast(pad, dtype_name_for_casting)
+        ws = theano.tensor.cast(ws, 'int64')
+        stride = theano.tensor.cast(stride, 'int64')
+        pad = theano.tensor.cast(pad, 'int64')
 
         return Apply(self, [inp, out, out_grad, ws, stride, pad], [inp.type()])
 
@@ -430,9 +428,9 @@ class GpuMaxPoolRop(CGpuKernelBase):
         if pad.dtype not in theano.tensor.int_dtypes:
             raise TypeError('Padding parameters must be ints.')
 
-        ws = theano.tensor.cast(ws, dtype_name_for_casting)
-        stride = theano.tensor.cast(stride, dtype_name_for_casting)
-        pad = theano.tensor.cast(pad, dtype_name_for_casting)
+        ws = theano.tensor.cast(ws, 'int64')
+        stride = theano.tensor.cast(stride, 'int64')
+        pad = theano.tensor.cast(pad, 'int64')
 
         return Apply(self, [inp, eval_point, ws, stride, pad], [eval_point.type()])