mlp_utils.py 文件源码

def __init__(self, inputs, maxpool_height, maxpool_width):
        if inputs is None:
            self.inputs = T.tensor4(dtype=theano.config.floatX)
        else:
            self.inputs = inputs.flatten(4)
        self.maxpool_height = maxpool_height
        self.maxpool_width = maxpool_width
        self.outputs = pool.pool_2d(
            self.inputs,
            (maxpool_height, maxpool_width),
            ignore_border=True
        )

        # Pooling layer has no learnable parameters.
        self.params = []


# Possible layer types.