Merge pull request #320 from Anhforth/update_version

Update version to 1.6.3

README.md

@@ -281,7 +281,7 @@ The majority of FlagAI is licensed under the [Apache 2.0 license](LICENSE), howe
 
 
 ## News
-
+- [31 Mar 2023] release v1.6.3, Support AltCLIP-m18 [#303](https://github.com/FlagAI-Open/FlagAI/pull/303) and AltDiffusion-m18 [#302](https://github.com/FlagAI-Open/FlagAI/pull/302); 
 - [17 Mar 2023] release v1.6.2, Support application of new optimizers [#266](https://github.com/FlagAI-Open/FlagAI/pull/266), and added a new gpt model name 'GPT2-base-en' for English; 
 - [2 Mar 2023] release v1.6.1, Support Galactica model [#234](https://github.com/FlagAI-Open/FlagAI/pull/234); BMInf, a low-resource inference package [#238](https://github.com/FlagAI-Open/FlagAI/pull/238), and examples for p-tuning [#227](https://github.com/FlagAI-Open/FlagAI/pull/238)
 - [12 Jan 2023] release v1.6.0, support a new parallel lib called [**BMTrain**](https://github.com/OpenBMB/BMTrain) and integate [**Flash Attention**](https://github.com/HazyResearch/flash-attention) to speedup training of BERT and ViT models, examples in [FlashAttentionBERT](https://github.com/FlagAI-Open/FlagAI/blob/master/examples/bert_title_generation_english/train_flash_atten.py) and [FlashAttentionViT](https://github.com/FlagAI-Open/FlagAI/blob/master/examples/vit_cifar100/train_single_gpu_flash_atten.py). Also add the contrastive search based text generation method [**SimCTG**](https://github.com/yxuansu/SimCTG) and DreamBooth finetuning based on AltDiffusion, examples in [AltDiffusionNaruto](https://github.com/FlagAI-Open/FlagAI/blob/master/examples/AltDiffusion/dreambooth.py). 

README_zh.md

@@ -263,7 +263,7 @@ for text_pair in test_data:
 
 
 ## 动态
-
+- [31 Mar 2023] 支持v1.6.3版本, 增加AltCLIP-m18模型 [#303](https://github.com/FlagAI-Open/FlagAI/pull/303) 以及 AltDiffusion-m18模型 [#302](https://github.com/FlagAI-Open/FlagAI/pull/302); 
 - [17 Mar 2023] 支持v1.6.2版本, 可以使用新的优化器 [#266](https://github.com/FlagAI-Open/FlagAI/pull/266), 并增加了英文gpt模型GPT2-base-en; 
 - [2 Mar 2023] 支持v1.6.1版本, 增加Galactica模型 [#234](https://github.com/FlagAI-Open/FlagAI/pull/234), 大模型推理的低资源工具包BMInf [#238](https://github.com/FlagAI-Open/FlagAI/pull/238), 以及P-tuning样例 [#227](https://github.com/FlagAI-Open/FlagAI/pull/238)
 - [12 Jan 2023] 发布v1.6.0版本, 新增支持并行训练库 [**BMTrain**](https://github.com/OpenBMB/BMTrain) 以及集成 [**Flash Attention**](https://github.com/HazyResearch/flash-attention) 到 Bert 和 Vit 模型提速端到端训练, 示例见 [FlashAttentionBERT](https://github.com/FlagAI-Open/FlagAI/blob/master/examples/bert_title_generation_english/train_flash_atten.py)和 [FlashAttentionViT](https://github.com/FlagAI-Open/FlagAI/blob/master/examples/vit_cifar100/train_single_gpu_flash_atten.py). 同时增加了基于对比搜索的文本生成方法 [**SimCTG**](https://github.com/yxuansu/SimCTG) 以及基于 AltDiffusion 进行 DreamBooth 个性化微调, 示例见 [AltDiffusionNaruto](https://github.com/FlagAI-Open/FlagAI/blob/master/examples/AltDiffusion/dreambooth.py). 

setup.py

@@ -5,7 +5,7 @@
 
 setup(
     name="flagai",
-    version="v1.6.2",
+    version="v1.6.3",
     description="FlagAI aims to help researchers and developers to freely train and test large-scale models for NLP/CV/VL tasks.",
     long_description=open("README.md", encoding="utf-8").read(),
     long_description_content_type="text/markdown",