ea2a0bfb9f60f7e03a3ed25244622e0d90b275a5,opennmt/inputters/record_inputter.py,SequenceRecordInputter,make_features,#SequenceRecordInputter#Any#Any#Any#,44

Before Change

        "shape": tf_var_len_feature(tf.int64),
        "values": tf_var_len_feature(tf.float32)
    })
    values = example["values"].values
    shape = tf.cast(example["shape"].values, tf.int32)
    tensor = tf.reshape(values, shape)
    tensor.set_shape([None, self.input_depth])
    features["length"] = tf.shape(tensor)[0]
    features["tensor"] = tf.cast(tensor, self.dtype)
    return features

After Change

      return features
    element = tf.io.parse_single_sequence_example(element, sequence_features={
        "values": tf.io.FixedLenSequenceFeature([self.input_depth], dtype=tf.float32)})
    tensor = element[1]["values"]
    features["length"] = tf.shape(tensor)[0]
    features["tensor"] = tf.cast(tensor, self.dtype)
    return features

Instances