Returns `model_fn` closure for TPUEstimator.

Returns `model_fn` closure for TPUEstimator.

Write a InputFeature to the TFRecordWriter as a tf.train.Example.

Read a list of `InputExample`s from an input file.

Serializes this instance to a Python dictionary.

Serializes this instance to a JSON string.

Multi-headed, multi-layer Transformer from "Attention is All You Need". This is almost an exact implementation of the original Transformer encoder.

Truncates a pair of sequences to a maximum sequence length.

Validate the input FLAGS or throw an exception.

Create TF example files from `TrainingInstance`s.

Write final predictions to the json file and log-odds of null if needed.

Constructs a BasicTokenizer. Args: do_lower_case: Whether to lower case the input.

Constructs a InputExample. Args: guid: Unique id for the example. text_a: string. The untokenized text of the first sequence. For sin

Constructs a AdamWeightDecayOptimizer.

Constructs BertConfig. Args: vocab_size: Vocabulary size of `inputs_ids` in `BertModel`. hidden_size: Size of the encoder layers and

Constructor for BertModel. Args: config: `BertConfig` instance. is_training: bool. true for training model, false for eval model. Con

Convert a set of `InputExample`s to a list of `InputFeatures`.

Creates an optimizer training op.

Gaussian Error Linear Unit. This is a smoother version of the RELU. Original paper: https://arxiv.org/abs/1606.08415 Args: x: float Tensor

Compute the union of the current variables and checkpoint variables.

See base class.

See base class.

See base class.

See base class.

See base class.

See base class.

See base class.

See base class.

See base class.

See base class.

See base class.

See base class.

See base class.

See base class.

See base class.

The actual input function.

The actual input function.

The actual input function.

The actual input function.

Creates an `input_fn` closure to be passed to TPUEstimator.

实体确认过后，再执行此函数才有效； 执行效果为 把实体index除去，其余关键词均放入列表中，并进行return输出，供向量化替换使用 :param form_seg_list:分词列表 :param form_pos_list:词性列表 :param fo

Computes the loss and accuracy of the model.

The `model_fn` for TPUEstimator.

The `model_fn` for TPUEstimator.

The `model_fn` for TPUEstimator.

The `model_fn` for TPUEstimator.

The `model_fn` for TPUEstimator.

实现gStore的API连接，以及进行查询，后续会根据问题的类型进行相应的一些选项修改 :param sparql1: 查询语句1，以后可能会有查询语句2、3、4...

Returns text encoded in a way suitable for print or `tf.logging`.