v0.1.1 (2020-02-07)
- Support PyTorch 1.3. (#249)
- Add
T5
modules (T5Encoder
,T5Decoder
, andT5EncoderDecoder
). (#280) - Add
T5Tokenizer
. (#283) - Support PyTorch 1.4. (#291)
- Refactor the interface of GPT2 modules. (#238)
- Support
gpt2-xl
checkpoint file in GPT2 modules. (#242) - Add code coverage check in CI. (#245)
- Update the vocabulary files of RoBERTa modules. (#255)
- Disable
codecov/patch
check in CI. (#265) - Provide option to freeze the embedding parameters. (#271)
- Add
encode_text_for_generation
function inXLNetTokenizer
. (#278) - Use warning instead of error in
map_token_to_id
function. (#285) - Add copyright header to unit tests. (#287)
- Remove duplicated
pytest
in CI. (#289) - Update the versions of
pylint
,flake8
, andmypy
in CI. (#292)
- Fix the documentation issues in
SentencePieceTokenizer
. (#236) - Fix the bugs in RoBERTa checkpoint file loading procedure. (#241)
- Fix the documentation issues in
Executor
. (#244) - Fix the documentation issues in
gpt-2
example. (#250) - Fix the bugs in
bidirectional_dynamic_rnn
anddynamic_rnn
functions. (#252) - Fix the bugs in
vae_text
example. (#253) - Fix the bugs in
sentence_classifier
example. (#262) - Fix the path error when installing
texar-pytorch
in Windows. (#268) - Fix the bugs in
XLNetTokenizer
. (#273) - Fix the bugs in
download_checkpoint
function. (#274) - Fix the bugs in google drive downloading function. (#275)
- Fix the bugs in the unit test of
GPT2Decoder
. (#288) - Fix the documentation issues in
Decoder
module. (#290)
v0.1.0 (2019-10-15)
The first formal release of Texar-PyTorch
v0.0.1 (2019-08-02)
The first release of Texar-PyTorch