upgrade conda and tini to nerwer versions and stick with pip version …

…19.0.1 for now (kubeflow#2372)

* upgrade conda to 4.5.12 and stick with pip version 19.0.1 for now

* Fix the sha256sum for Miniconda v4.5.12 and upgrade tini to v0.18.0 across the board

* Use sha256sum for Miniconda3 version

* Cap conda version to v4.5.4 until TensorFlow start supportting Python 3.7

* Fix the Miniconda3 sha5sum

components/contrib/kaggle-notebook-image/Dockerfile

@@ -49,8 +49,8 @@ RUN export CLOUD_SDK_REPO="cloud-sdk-$(lsb_release -c -s)" && \
 
 # Install Tini - used as entrypoint for container
 RUN cd /tmp && \
-    wget --quiet https://github.com/krallin/tini/releases/download/v0.10.0/tini && \
-    echo "1361527f39190a7338a0b434bd8c88ff7233ce7b9a4876f3315c22fce7eca1b0 *tini" | sha256sum -c - && \
+    wget --quiet https://github.com/krallin/tini/releases/download/v0.18.0/tini && \
+    echo "12d20136605531b09a2c2dac02ccee85e1b874eb322ef6baf7561cd93f93c855 *tini" | sha256sum -c - && \
     mv tini /usr/local/bin/tini && \
     chmod +x /usr/local/bin/tini
 

components/contrib/rapidsai-notebook-image/Dockerfile

@@ -46,13 +46,13 @@ RUN export CLOUD_SDK_REPO="cloud-sdk-$(lsb_release -c -s)" && \
     apt-get install -y google-cloud-sdk kubectl && \
     # Install to the existing RapidsAI conda env
     source activate rapids && \
-    pip install --upgrade pip && \
+    pip install --upgrade pip==19.0.1 && \
     pip --no-cache-dir install jupyterhub matplotlib
 
 # Install Tini - used as entrypoint for container
 RUN cd /tmp && \
-    wget --quiet https://github.com/krallin/tini/releases/download/v0.10.0/tini && \
-    echo "1361527f39190a7338a0b434bd8c88ff7233ce7b9a4876f3315c22fce7eca1b0 *tini" | sha256sum -c - && \
+    wget --quiet https://github.com/krallin/tini/releases/download/v0.18.0/tini && \
+    echo "12d20136605531b09a2c2dac02ccee85e1b874eb322ef6baf7561cd93f93c855 *tini" | sha256sum -c - && \
     mv tini /usr/local/bin/tini && \
     chmod +x /usr/local/bin/tini
 

components/k8s-model-server/images/Dockerfile.cpu

@@ -51,7 +51,7 @@ RUN set -x \
     && [ `id -u $MS_USER` -eq 1000 ] \
     && [ `id -g $MS_USER` -eq 1000 ]
 
-ENV TINI_VERSION v0.17.0
+ENV TINI_VERSION v0.18.0
 
 ADD https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini /tini
 

components/k8s-model-server/images/Dockerfile.gpu

@@ -114,7 +114,7 @@ RUN set -x \
     && [ `id -u $MS_USER` -eq 1000 ] \
     && [ `id -g $MS_USER` -eq 1000 ]
 
-ENV TINI_VERSION v0.17.0
+ENV TINI_VERSION v0.18.0
 
 ADD https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini /tini
 

components/tensorflow-notebook-image/Dockerfile

@@ -86,17 +86,20 @@ RUN export CLOUD_SDK_REPO="cloud-sdk-$(lsb_release -c -s)" && \
 
 # Install Tini - used as entrypoint for container
 RUN cd /tmp && \
-    wget --quiet https://github.com/krallin/tini/releases/download/v0.10.0/tini && \
-    echo "1361527f39190a7338a0b434bd8c88ff7233ce7b9a4876f3315c22fce7eca1b0 *tini" | sha256sum -c - && \
+    wget --quiet https://github.com/krallin/tini/releases/download/v0.18.0/tini && \
+    echo "12d20136605531b09a2c2dac02ccee85e1b874eb322ef6baf7561cd93f93c855 *tini" | sha256sum -c - && \
     mv tini /usr/local/bin/tini && \
     chmod +x /usr/local/bin/tini
 
 # Install conda as jovyan user and check the md5 sum provided on the download site
-ENV MINICONDA_VERSION 4.4.10
+# After Miniconda v4.5.4 the default Python version is no longer 3.6, but TensorFlow
+# still doesn't support Python 3.7. If we still like to upgrade Miniconda we need
+# to add the line "conda install python==3.6" to RUN command below
+ENV MINICONDA_VERSION 4.5.4
 RUN cd /tmp && \
     mkdir -p $CONDA_DIR && \
     wget --quiet https://repo.continuum.io/miniconda/Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh && \
-    echo "bec6203dbb2f53011e974e9bf4d46e93 *Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh" | md5sum -c - && \
+    echo "a946ea1d0c4a642ddf0c3a26a18bb16d *Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh" | md5sum -c - && \
     /bin/bash Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh -f -b -p ${CONDA_DIR} && \
     rm Miniconda3-${MINICONDA_VERSION}-Linux-x86_64.sh && \
     conda config --system --prepend channels conda-forge && \
@@ -111,7 +114,7 @@ RUN cd /tmp && \
 # The image size can grow significantly.
 
 # Install base python3 packages
-RUN pip install --upgrade pip && \
+RUN pip install --upgrade pip==19.0.1 && \
     pip --no-cache-dir install \
     # Tensorflow
     ${TF_PACKAGE} \

components/tensorflow-notebook-image/install.sh

@@ -5,7 +5,7 @@ set -ex
 conda create -n py2 python=2
 
 source activate py2
-pip install --upgrade pip
+pip install --upgrade pip==19.0.1
 
 # TFX packages only supports python 2
 pip --no-cache-dir install \