blas.py 文件源码

def make_node(self, img, topgrad, shape=None):
        img = as_cuda_ndarray_variable(img)
        topgrad = as_cuda_ndarray_variable(topgrad)
        if shape is not None:
            shape = as_tensor_variable(shape)

        if img.type.ndim != 5:
            raise TypeError('img must be 5D tensor')
        if topgrad.type.ndim != 5:
            raise TypeError('topgrad must be 5D tensor')
        if self.subsample != (1, 1, 1) or self.border_mode == "half":
            if shape is None:
                raise ValueError('shape must be given if subsample != (1, 1, 1)'
                                 ' or border_mode == "half"')
            height_width_depth = [shape[0], shape[1], shape[2]]
            assert shape[0].ndim == 0
            assert shape[1].ndim == 0
            assert shape[2].ndim == 0
        else:
            height_width_depth = []

        broadcastable = [topgrad.type.broadcastable[1], img.type.broadcastable[1],
                         False, False, False]
        return Apply(self, [img, topgrad] + height_width_depth, [CudaNdarrayType(broadcastable)()])