Force pip version 19 (#1647)

Author: vishalbollu

images/onnx-predictor-cpu/Dockerfile

@@ -33,7 +33,7 @@ RUN curl "https://repo.anaconda.com/miniconda/Miniconda3-4.7.12.1-Linux-x86_64.s
     rm -rf ~/.cache ~/miniconda.sh
 
 # split the conda installations because the dev boxes have limited memory
-RUN /opt/conda/bin/conda create -n env -c conda-forge python=$PYTHONVERSION pip && \
+RUN /opt/conda/bin/conda create -n env -c conda-forge python=$PYTHONVERSION pip=19.* && \
     /opt/conda/bin/conda clean -a && \
     ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
     echo ". /opt/conda/etc/profile.d/conda.sh" > ~/.env && \

images/onnx-predictor-gpu/Dockerfile

@@ -33,7 +33,7 @@ RUN curl "https://repo.anaconda.com/miniconda/Miniconda3-4.7.12.1-Linux-x86_64.s
     rm -rf ~/.cache ~/miniconda.sh
 
 # split the conda installations because the dev boxes have limited memory
-RUN /opt/conda/bin/conda create -n env -c conda-forge python=$PYTHONVERSION pip && \
+RUN /opt/conda/bin/conda create -n env -c conda-forge python=$PYTHONVERSION pip=19.* && \
     /opt/conda/bin/conda clean -a && \
     ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
     echo ". /opt/conda/etc/profile.d/conda.sh" > ~/.env && \

images/python-predictor-cpu/Dockerfile

@@ -33,7 +33,7 @@ RUN curl "https://repo.anaconda.com/miniconda/Miniconda3-4.7.12.1-Linux-x86_64.s
     rm -rf ~/.cache ~/miniconda.sh
 
 # split the conda installations because the dev boxes have limited memory
-RUN /opt/conda/bin/conda create -n env -c conda-forge python=$PYTHONVERSION pip && \
+RUN /opt/conda/bin/conda create -n env -c conda-forge python=$PYTHONVERSION pip=19.* && \
     /opt/conda/bin/conda clean -a && \
     ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
     echo ". /opt/conda/etc/profile.d/conda.sh" > ~/.env && \

images/python-predictor-gpu/Dockerfile

@@ -35,7 +35,7 @@ RUN curl "https://repo.anaconda.com/miniconda/Miniconda3-4.7.12.1-Linux-x86_64.s
     rm -rf ~/.cache ~/miniconda.sh
 
 # split the conda installations because the dev boxes have limited memory
-RUN /opt/conda/bin/conda create -n env -c conda-forge python=$PYTHONVERSION pip && \
+RUN /opt/conda/bin/conda create -n env -c conda-forge python=$PYTHONVERSION pip=19.* && \
     /opt/conda/bin/conda clean -a && \
     ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
     echo ". /opt/conda/etc/profile.d/conda.sh" > ~/.env && \

images/python-predictor-inf/Dockerfile

@@ -43,7 +43,7 @@ RUN curl "https://repo.anaconda.com/miniconda/Miniconda3-4.7.12.1-Linux-x86_64.s
     rm -rf ~/.cache ~/miniconda.sh
 
 # split the conda installations because the dev boxes have limited memory
-RUN /opt/conda/bin/conda create -n env -c conda-forge python=$PYTHONVERSION pip && \
+RUN /opt/conda/bin/conda create -n env -c conda-forge python=$PYTHONVERSION pip=19.* && \
     /opt/conda/bin/conda clean -a && \
     ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
     echo ". /opt/conda/etc/profile.d/conda.sh" > ~/.env && \

images/tensorflow-predictor/Dockerfile

@@ -33,7 +33,7 @@ RUN curl "https://repo.anaconda.com/miniconda/Miniconda3-4.7.12.1-Linux-x86_64.s
     rm -rf ~/.cache ~/miniconda.sh
 
 # split the conda installations because the dev boxes have limited memory
-RUN /opt/conda/bin/conda create -n env -c conda-forge python=$PYTHONVERSION pip && \
+RUN /opt/conda/bin/conda create -n env -c conda-forge python=$PYTHONVERSION pip=19.* && \
     /opt/conda/bin/conda clean -a && \
     ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
     echo ". /opt/conda/etc/profile.d/conda.sh" > ~/.env && \

pkg/workloads/cortex/client/cortex/client.py

@@ -116,7 +116,7 @@ def deploy(
             )
 
             if not is_python_set:
-                conda_packages = [f"python={actual_version}"] + conda_packages
+                conda_packages = [f"python={actual_version}", "pip=19.*"] + conda_packages
 
         if len(requirements) > 0:
             with open(project_dir / "requirements.txt", "w") as requirements_file: