Update GpuDnnConv3dGradW to use new config flags

theano/sandbox/cuda/dnn.py

@@ -796,6 +796,7 @@ class GpuDnnConvGradW(DnnBase, COp):
     def infer_shape(self, node, shape):
         return [shape[2]]
 
+
 class GpuDnnConv3dGradW(GpuDnnConvGradW):
     """
     The convolution gradient with respect to the weights.
@@ -805,12 +806,25 @@ class GpuDnnConv3dGradW(GpuDnnConvGradW):
     :param descr: the convolution descriptor
 
     """
-    __props__ = ('workmem', 'inplace',)
+    __props__ = ('algo', 'inplace',)
     __input_name__ = ('image', 'grad', 'output', 'descriptor', 'alpha', 'beta')
 
-    def __init__(self, inplace=False, workmem=None):
-        super(GpuDnnConv3dGradW, self).__init__(inplace=inplace, workmem='none')
-        assert self.workmem in ['none', 'time','guess', 'guess_once']
+    def __init__(self, inplace=False, workmem=None, algo=None):
+        """
+        :param workmem: *deprecated*, use param algo instead
+        :param algo: either 'none', 'guess_once', 'guess_on_shape_change',
+        'time_once' or 'time_on_shape_change'.
+        Default is the value of :attr:`config.dnn.conv.algo_bwd.
+        """
+        if workmem is not None:
+            warnings.warn(("GpuDnnConv3dGradW: parameter 'workmem' is "
+                           "deprecated. Use 'algo' instead."), stacklevel=3)
+            assert algo == None
+            algo = workmem
+
+        super(GpuDnnConv3dGradW, self).__init__(inplace=inplace,
+                                                algo='guess_once')
+        assert self.algo in ['none', 'guess_once', 'guess_on_shape_change']
 
     def grad(self, inp, grads):
         img, top, output, desc, alpha, beta = inp
@@ -849,7 +863,6 @@ class GpuDnnConv3dGradW(GpuDnnConvGradW):
                      [output.type()])
 
 
-
 class GpuDnnConvGradI(DnnBase, COp):
     """
     The convolution gradient with respect to the inputs.