dnn.py 文件源码

def make_node(self, img_shape, kern_shape):
        if img_shape.type.ndim != 1 or img_shape.type.dtype != 'int64':
            raise TypeError('img must be 1D shape tensor')
        if kern_shape.type.ndim != 1 or kern_shape.type.dtype != 'int64':
            raise TypeError('kern must be 1D shape tensor')

        node = Apply(self, [img_shape, kern_shape],
                     [CDataType("cudnnConvolutionDescriptor_t",
                                freefunc="cudnnDestroyConvolutionDescriptor")()])
        # DebugMode cannot compare the values of CDataType variables, so by
        # default it returns False all the time. To prevent DebugMode from
        # complaining because of the MergeOptimizer, we make this variable
        # always compare to True.
        out = node.outputs[0]
        out.tag.values_eq_approx = tensor.type.values_eq_approx_always_true
        return node