d97188ee62bc0627235578485c5df7d3245fa1ed,example6.py,,,#,14

Before Change

        316, 245, 232, 175, 149, 263, 387, 283, 391, 211, 396, 352, 345, 258, 253, 163, 140, 293, 194, 342, 161, 358,
        271, 156, 260, 384, 153, 277, 214]

laws_str = [str(x) for x in laws]


def get_encodes(x):
    // x is `batch_size` of lines, each of which is a json object

After Change

os.environ["CUDA_VISIBLE_DEVICES"] = str(GPUtil.getFirstAvailable()[0])
tf.logging.set_verbosity(tf.logging.INFO)

with open("README.md") as fp:
    data = [v for v in fp if v.strip()]
    bc = BertClient()
    list_vec = bc.encode(data)
    list_label = [0 for _ in data]  // a dummy list of all-zero labels

// write tfrecords

with tf.python_io.TFRecordWriter("tmp.tfrecord") as writer:
    def create_float_feature(values):
        return tf.train.Feature(float_list=tf.train.FloatList(value=values))

Instances