[Docker] Update Docker (dmlc#1454)

* update docker

* update docker

* update readme

* update workflows

.github/workflows/buildwebsite.yml

@@ -33,7 +33,7 @@ jobs:
         run: |
           python -m pip install --quiet --upgrade pip
           python -m pip install --upgrade cython
-          python -m pip install --pre "mxnet>=2.0.0b20201127" -f https://dist.mxnet.io/python
+          python -m pip install --pre "mxnet>=2.0.0b20201206" -f https://dist.mxnet.io/python
           python -m pip install setuptools ipython sphinx>=1.5.5 sphinx-gallery nbsphinx sphinx_rtd_theme mxtheme sphinx-autodoc-typehints matplotlib Image recommonmark
 
       - name: Checkout repository(For push)

.github/workflows/unittests.yml

@@ -55,7 +55,7 @@ jobs:
           python -m pip install --upgrade pip
           python -m pip install setuptools pytest pytest-cov contextvars
           python -m pip install --upgrade cython
-          python -m pip install --pre "mxnet>=2.0.0b20200802" -f https://dist.mxnet.io/python
+          python -m pip install --pre "mxnet>=2.0.0b20201206" -f https://dist.mxnet.io/python
           python -m pip install -U -e .[extras]
       - name: Build and Install TVM
         if: matrix.os == 'ubuntu-latest'

README.md

@@ -28,19 +28,19 @@ First of all, install the latest MXNet. You may use the following commands:
 
 ```bash
 # Install the version with CUDA 10.0
-python3 -m pip install -U --pre "mxnet-cu100>=2.0.0b20201121" -f https://dist.mxnet.io/python
+python3 -m pip install -U --pre "mxnet-cu100>=2.0.0b20201206" -f https://dist.mxnet.io/python
 
 # Install the version with CUDA 10.1
-python3 -m pip install -U --pre "mxnet-cu101>=2.0.0b20201121" -f https://dist.mxnet.io/python
+python3 -m pip install -U --pre "mxnet-cu101>=2.0.0b20201206" -f https://dist.mxnet.io/python
 
 # Install the version with CUDA 10.2
-python3 -m pip install -U --pre "mxnet-cu102>=2.0.0b20201121" -f https://dist.mxnet.io/python
+python3 -m pip install -U --pre "mxnet-cu102>=2.0.0b20201206" -f https://dist.mxnet.io/python
 
 # Install the version with CUDA 11
-python3 -m pip install -U --pre "mxnet-cu110>=2.0.0b20201121" -f https://dist.mxnet.io/python
+python3 -m pip install -U --pre "mxnet-cu110>=2.0.0b20201206" -f https://dist.mxnet.io/python
 
 # Install the cpu-only version
-python3 -m pip install -U --pre "mxnet>=2.0.0b20201121" -f https://dist.mxnet.io/python
+python3 -m pip install -U --pre "mxnet>=2.0.0b20201206" -f https://dist.mxnet.io/python
 ```
 
 

tools/docker/gluon_nlp_job.sh

@@ -23,15 +23,15 @@ git fetch origin $SOURCE_REF:working
 git checkout working
 
 if [ $DEVICE == "cpu" ]; then
-  python3 -m pip install -U --quiet --pre "mxnet>=2.0.0b20201121" -f https://dist.mxnet.io/python --user
+  python3 -m pip install -U --quiet --pre "mxnet>=2.0.0b20201206" -f https://dist.mxnet.io/python --user
 else
   # Due to the issue in https://forums.aws.amazon.com/thread.jspa?messageID=953912
   # We need to manually configure the shm to ensure that Horovod is runnable.
   # The reason that we need a larger shm is described in https://github.com/NVIDIA/nccl/issues/290
   umount shm
   mount -t tmpfs -o rw,nosuid,nodev,noexec,relatime,size=2G shm /dev/shm
   sudo python3 -m pip uninstall --quiet mxnet-cu102
-  python3 -m pip install -U --quiet --pre "mxnet-cu102>=2.0.0b20201121" -f https://dist.mxnet.io/python/cu102 --user
+  python3 -m pip install -U --quiet --pre "mxnet-cu102>=2.0.0b20201206" -f https://dist.mxnet.io/python/cu102 --user
 fi
 
 python3 -m pip install --quiet -e .[extras]

tools/docker/ubuntu18.04-cpu.Dockerfile

@@ -33,7 +33,7 @@ RUN bash /install/install_python_packages.sh
 RUN bash /install/install_tvm_cpu.sh
 
 # Install MXNet
-RUN python3 -m pip install -U --pre "mxnet>=2.0.0b20201121" -f https://dist.mxnet.io/python --user
+RUN python3 -m pip install -U --pre "mxnet>=2.0.0b20201206" -f https://dist.mxnet.io/python --user
 
 # Install PyTorch
 RUN python3 -m pip install -U torch torchvision --user

tools/docker/ubuntu18.04-gpu.Dockerfile

@@ -32,7 +32,7 @@ RUN bash /install/install_python_packages.sh
 RUN bash /install/install_tvm_gpu.sh
 
 # Install MXNet
-RUN python3 -m pip install -U --pre "mxnet-cu102>=2.0.0b20201121" -f https://dist.mxnet.io/python --user
+RUN python3 -m pip install -U --pre "mxnet-cu102>=2.0.0b20201206" -f https://dist.mxnet.io/python --user
 
 # Install PyTorch
 RUN python3 -m pip install -U torch torchvision --user