corr3d.py 文件源码

python
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项目:Theano-Deep-learning 作者: GeekLiB 项目源码 文件源码
def make_node(self, kern, topgrad, shape=None):
        kern = as_tensor_variable(kern)
        topgrad = as_tensor_variable(topgrad)
        kern, topgrad = self.as_common_dtype(kern, topgrad)
        if kern.type.ndim != 5:
            raise TypeError('kern must be 5D tensor')
        if topgrad.type.ndim != 5:
            raise TypeError('topgrad must be 5D tensor')
        if self.subsample != (1, 1, 1) and shape is None:
            raise ValueError('shape must be given if subsample != (1, 1, 1)')
        if self.subsample != (1, 1, 1):
            height_width_depth = [as_tensor_variable(shape[0]).astype('int64'),
                                  as_tensor_variable(shape[1]).astype('int64'),
                                  as_tensor_variable(shape[2]).astype('int64')]
        else:
            height_width_depth = []

        broadcastable = [topgrad.type.broadcastable[0], kern.type.broadcastable[1],
                         False, False, False]
        dtype = kern.type.dtype
        return Apply(self, [kern, topgrad] + height_width_depth,
                     [TensorType(dtype, broadcastable)()])
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