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model.layers[4].set_weights([embedding_matrix])

Colorful Caribou answered on January 23, 2022 Popularity 1/10 Helpfulness 1/10

answer model.layers[4].set_weights([embedding_matrix])

model.layers[4].set_weights([embedding_matrix])

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def load_embedding_matrix(embedding_file):
    print("read embedding from: %s " %embedding_file)
    d = {}
    n = 0
    with open(embedding_file, "r") as f:
        line = f.readline()
        while line:
            n += 1
            w, v = line.strip().split(" ", 1)
            d[int(w[1:])] = v
            line = f.readline()
    dim = len(v.split(" "))

    # add two index for missing and padding
    emb_matrix = np.zeros((n+2, dim), dtype=float)
    for key ,val in d.items():
        v = np.asarray(val.split(" "), dtype=float)
        emb_matrix[key] = v
    emb_matrix = np.array(emb_matrix, dtype=np.float32)
    return emb_matrix

Popularity 1/10 Helpfulness 1/10 Language python

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Tags: python

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