blas.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, img, topgrad, shape=None):
        ctx_name = infer_context_name(img, topgrad)
        img = as_gpuarray_variable(img, ctx_name)
        topgrad = as_gpuarray_variable(topgrad, ctx_name)
        if img.type.ndim != 4:
            raise TypeError('img must be 4D tensor')
        if topgrad.type.ndim != 4:
            raise TypeError('topgrad must be 4D tensor')
        if self.subsample != (1, 1) or self.border_mode == "half":
            if shape is None:
                raise ValueError('shape must be given if subsample != (1, 1)'
                                 ' or border_mode == "half"')
            height_width = [shape[0], shape[1]]
            assert shape[0].ndim == 0
            assert shape[1].ndim == 0
        else:
            height_width = []

        broadcastable = [topgrad.type.broadcastable[1], img.type.broadcastable[1],
                         False, False]
        return Apply(self, [img, topgrad] + height_width, [GpuArrayType(dtype=img.dtype,
                                                                        context_name=ctx_name,
                                                                        broadcastable=broadcastable)()])
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