7fd53c15c6273327ef10c2458848fcaf2a85e406,finetune/base_models/gpt/featurizer.py,,gpt_featurizer,#Any#Any#Any#Any#Any#,133

Before Change

        features: The output of the featurizer_final state.
        sequence_features: The output of the featurizer at each timestep.
    
    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):

After Change

        features: The output of the featurizer_final state.
        sequence_features: The output of the featurizer at each timestep.
    
    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