convolutional.py 文件源码

def get_output(self, train=False):
        X = self.get_input(train)
        X = T.reshape(X, (X.shape[0], X.shape[1], X.shape[2], 1)).dimshuffle(0, 2, 1, 3)
        output = downsample.max_pool_2d(X, ds=self.pool_size, st=self.st, ignore_border=self.ignore_border)
        output = output.dimshuffle(0, 2, 1, 3)
        return T.reshape(output, (output.shape[0], output.shape[1], output.shape[2]))