transformers

Is your feature request related to a problem? Please describe.
BaseDocumentStore's get_all_documents supports return_embedding as method param but get_document_by_id does not. This is inconsistent and a bit confusing.

Describe the solution you'd like
Add return_embedding param to get_doucment_by_id of BaseDocumentStore and all its subclasses.

**Describe alternatives y

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/machine_translation/transformer
在我们的基于 Transformer 的 Machine Translation 例子中，数据准备这一步奏仅提供了一个预处理好的 WMT14 en-de 数据，并没有告诉读者该怎么处理数据，每一步应该怎么做，可否像 fairseq (https://github.com/facebookresearch/fairseq/tree/main/examples/translation) 一样，将每一个步奏都提供出来。

另外，我们的PaddleNLP数据处理看起来和代码高度耦合。意思就是我每想用新的机器翻译数据训练模型，我需要在PaddleNLP里先写一些支持该数据的新的代码。这从用户的视角看并不是

Describe the bug
Setting "text-gen-type": "interactive" results in an IndexError: : shape mismatch: indexing tensors could not be broadcast together with shapes [4], [3]. Other generation types work.

To Reproduce
Steps to reproduce the behavior:

1. Install, adapt 20B to local environment, add "text-gen-type": "interactive" config
2. Run inference
3. Enter arbitrary prompt when

Problem
Some of our transformers & estimators are not thoroughly tested or not tested at all.

Solution
Use OpTransformerSpec and OpEstimatorSpec base test specs to provide tests for all existing transformers & estimators.

Hi there.
The app is not launching on ubuntu 21.10 (kernel 5.13.0-39). When running from terminal I get:

Fontconfig warning: "/etc/fonts/conf.d/10-hinting-slight.conf", line 5: unknown element "its:translateRule"
Fontconfig error: "/etc/fonts/conf.d/10-hinting-slight.conf", line 5: invalid 

Hey! Thanks for the work on this.

Wondering how we can use this with mocha? tsconfig-paths has its own tsconfig-paths/register to make this work

https://github.com/dividab/tsconfig-paths#with-mocha-and-ts-node

Basically with mocha we have to run mocha -r ts-node/register -- but that wouldnt have the compiler flag.

Would be worthwhile to have the ability to do it which looks like