516ae639376f5baa966ab38ed31bc26a0171ce9b,anago/data/reader.py,,get_glove_vectors,#Any#Any#Any#,77

Before Change

        dim: (int) dimension of embeddings
    
    //embeddings = np.zeros([len(vocab), dim])
    limit = np.sqrt(3 / dim)
    embeddings = np.random.uniform(-limit, limit, size=(len(vocab), dim))
    if not glove_filename:
        return embeddings
    with open(glove_filename) as f:

After Change

        glove_filename: a path to a glove file
        dim: (int) dimension of embeddings
    
    embeddings = np.zeros([len(vocab), dim])
    //limit = np.sqrt(3 / dim)
    //embeddings = np.random.uniform(-limit, limit, size=(len(vocab), dim))
    if not glove_filename:

Instances