7fd53c15c6273327ef10c2458848fcaf2a85e406,finetune/base_models/gpt2/featurizer.py,,gpt2_featurizer,#Any#Any#Any#Any#Any#,138

Before Change

def gpt2_featurizer(X, encoder, config, train=False, reuse=None):
    initial_shape = [a or -1 for a in X.get_shape().as_list()]
    X = tf.reshape(X, shape=[-1] + initial_shape[-2:])

    with tf.variable_scope("model/featurizer", reuse=reuse):
        embed_weights = tf.get_variable(

After Change

def gpt2_featurizer(X, encoder, config, train=False, reuse=None):
    initial_shape = tf.shape(X)
    X = tf.reshape(X, shape=[-1] + initial_shape[-2:])
    X = tf.reshape(X, shape=tf.concat(([-1], initial_shape[-2:]), 0))

    with tf.variable_scope("model/featurizer", reuse=reuse):
        embed_weights = tf.get_variable(
            name="we",

Instances