ops.py 文件源码

def lookup(self, symbol):
        if symbol == None:
            return None

        if type(symbol) == type([]):
            return [self.lookup(k) for k in symbol]

        if type(symbol) == type({}) or type(symbol) == hc.Config:
            return hc.Config({k: self.lookup(symbol[k]) for k in symbol.keys()})

        if type(symbol) != type(""):
            return symbol

        if symbol.startswith('function:'):
            return self.lookup_function(symbol)

        if symbol.startswith('class:'):
            return self.lookup_class(symbol)

        if symbol == 'tanh':
            return tf.nn.tanh
        if symbol == 'sigmoid':
            return tf.nn.sigmoid
        if symbol == 'batch_norm':
            return layer_regularizers.batch_norm_1
        if symbol == 'layer_norm':
            return layer_regularizers.layer_norm_1
        if symbol == "crelu":
            return tf.nn.crelu
        if symbol == "prelu":
            return self.prelu()
        if symbol == "selu":
            return selu
        if symbol == "lrelu":
            return lrelu
        if symbol == "relu":
            return tf.nn.relu
        if symbol == 'square':
            return tf.square
        if symbol == 'reduce_mean':
            return tf.reduce_mean
        if symbol == 'reduce_min':
            return tf.reduce_min
        if symbol == 'reduce_sum':
            return tf.reduce_sum
        if symbol == 'reduce_logsumexp':
            return tf.reduce_logsumexp
        if symbol == 'reduce_linear':
            return self.reduce_linear()

        if symbol == 'l1_distance':
            return l1_distance
        if symbol == 'l2_distance':
            return l2_distance

        return symbol