[Unreleased]

Add support for GPT-2 345M model in examples/gpt-2. (#156)
Add BERT modules, including texar.modules.BERTEncoder (doc) and texar.modules.BERTClassifier (doc). (#167)

Refactor TransformerEncoder and TransformerDecoder to separate position embeddings from the modules. (#126)
Allow passing a Tensor to output_layer of decoders' constructors -- used for weight tie b/w the output layer and input embedding matrix. (#126)
TransformerDecoder constructor interface made exact the same with RNN decoders constructor interfaces. (#126)
Refactor decoder Helpers to allow two-argument embedding_fn (supporting for position embedding). (#126)
Refactor SinusoidsPositionEmbedder to enable infinite large or negative position indexes. (#176)

Fix texar.losses.reduce_batch_time when sequence has dtype other than tf.float32. (#143)
Fix texar.losses.reduce_dimensions when average_axes or sum_axes is int. (#141)
Fix GPT-2 tokenization loading path. (#165)
Fix examples/vae_text EOS bug. (#168)
Fix transformer bleu_tool.py when translation_length is 0. (#176)
Fix StochasticConnector and ReparameterizedStochasticConnector when transform=False. (#179)

v0.2.0 (2019-04-09)

TFRecordData: A new data module for reading and processing TFRecord data, with support for, e.g., image data, feature data, etc. (#107)
GPT-2: OpenAI pretrained language model. (#91, example)
TopKSampleEmbeddingHelper to perform top_k random sample decoding. (baa09ff)

Refactor BERT example using TFRecordData data module.
TransformerDecoder supports helper arguments to specify decoding strategy. (#76)