Revert "merge xingjian's"

This reverts commit ea1f1aa.

README.md

@@ -72,14 +72,3 @@ python3 -m gluonnlp.cli.preprocess help
 
 # Run Unittests
 You may go to [tests](tests) to see all how to run the unittests.
-
-
-# Use Docker
-You can use Docker to launch a JupyterLab development environment with GluonNLP installed.
-
-```
-docker pull gluonai/gluon-nlp:v1.0.0
-docker run --gpus all --rm -it -p 8888:8888 -p 8787:8787 -p 8786:8786 gluonai/gluon-nlp:v1.0.0
-``` 
-
-For more details, you can refer to the guidance in [tools/docker].

src/gluonnlp/__init__.py

@@ -1,4 +1,4 @@
-__version__ = '1.0.0'
+__version__ = '1.0.0.dev0'
 from . import base
 from . import data
 from . import models

tools/batch/README.md

@@ -1,20 +1,18 @@
-# Launch AWS Jobs
-For contributors of GluonNLP, you can try to launch jobs via AWS Batch.
-Once you've correctly configured the AWS CLI, you may use the following command
-to submit a dummy example in which `remote` and `source-ref` denote the repository
- url and branch name respectively.
+# Batch Job Examples
+Based on AWS Batch, we provide a quick way to submit a job, including Conversion, Question Answering, Machine Translation, Text Translation and Pre-trained Model Training, which can be used for regular inspections or for rapid deployment of experiments.
 
-```
+See a dummy submission for example in which `remote` and `source-ref` denote the repository url and branch name respectively.
+
+```bash
 python3 submit-job.py \
---region us-east-1 \
---source-ref master \
---job-type p3.2x \
---work-dir tools/batch \
---remote https://github.com/dmlc/gluon-nlp \
---command "python3 hello_world.py" \
---wait
+    --region us-east-1 \
+    --source-ref master \
+    --job-type g4dn.12x \
+    --name dummy_example \
+    --work-dir scripts/preprocess \
+    --remote https://github.com/dmlc/gluon-nlp/ \
+    --command 'git rev-parse HEAD | tee stdout.log'
 ```
-
 ## Conversion Toolkits
 Following the instruction of [converting scripts](../../scripts/conversion_toolkits), several pre-trained models could be converted through the corresponding conversion tool as below command where `${MODEL_TYPE}` could be selected from `[albert, bert, electra, mobilebert, bart, robert, xmlr]`.
 ```bash

tools/batch/docker/Dockerfile

@@ -1,27 +1,27 @@
 FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04
 
-RUN apt-get update && apt-get install -y --no-install-recommends \
-      build-essential \
-      locales \
-      cmake \
-      wget \
-      subversion \
-      git \
-      curl \
-      vim \
-      unzip \
-      sudo \
-      ca-certificates \
-      libjpeg-dev \
-      libpng-dev \
-      libfreetype6-dev \
-      python3-dev \
-      python3-pip \
-      python3-setuptools \
-      libxft-dev &&\
-  rm -rf /var/lib/apt/lists/*
+ RUN apt-get update && apt-get install -y --no-install-recommends \
+          build-essential \
+          locales \
+          cmake \
+          wget \
+          subversion \
+          git \
+          curl \
+          vim \
+          unzip \
+          sudo \
+          ca-certificates \
+          libjpeg-dev \
+          libpng-dev \
+          libfreetype6-dev \
+          python3-dev \
+          python3-pip \
+          python3-setuptools \
+          libxft-dev &&\
+      rm -rf /var/lib/apt/lists/*
 
-RUN pip3 install --upgrade pip && pip3 install awscli && pip3 install --pre 'mxnet-cu102' -f https://dist.mxnet.io/python
-RUN git clone https://github.com/dmlc/gluon-nlp
-WORKDIR gluon-nlp
-ADD gluon_nlp_job.sh .
+ RUN pip3 install --upgrade pip && pip3 install awscli && pip3 install --pre 'mxnet-cu102' -f https://dist.mxnet.io/python
+ RUN git clone https://github.com/dmlc/gluon-nlp
+ WORKDIR gluon-nlp
+ ADD gluon_nlp_job.sh .