Use tensorflow-cpu in images

dev/versions.md

@@ -86,23 +86,23 @@ Note: check their [install.md](https://github.com/kubernetes/client-go/blob/mast
 1. `go mod tidy`
 1. Check that the diff in `go.mod` is reasonable
 
-## TensorFlow / TensorFlow Serving / Python / Python base operating system
+## Python
 
-The Python version in the base images for `tf-api` and `onnx-serve-gpu`/`python-serve-gpu` determines the Python version used throughout Cortex.
+The same Python version should be used throughout Cortex (e.g. search for `3.6` and update all accordingly).
 
-1. Update the `tensorflow/tensorflow` base image in `images/tf-api/Dockerfile` to the desired version ([Dockerhub](https://hub.docker.com/r/tensorflow/tensorflow))
-1. Update the `nvidia/cuda` base image in `images/python-serve-gpu/Dockerfile` and `images/onnx-serve-gpu/Dockerfile` (as well as `libnvinfer` in `images/python-serve-gpu/Dockerfile` and `images/tf-serve-gpu/Dockerfile`) to the desired version based on [TensorFlow's documentation](https://www.tensorflow.org/install/gpu#ubuntu_1804_cuda_101) ([Dockerhub](https://hub.docker.com/r/nvidia/cuda)) (it's possible these versions will diverge depending on ONNX runtime support)
-1. Run `docker run --rm -it tensorflow/tensorflow:***`, and in the container run `python3 --version` and `cat /etc/lsb-release`
-1. Run `docker run --rm -it nvidia/cuda:***`, and in the container run `cat /etc/lsb-release`
-1. The Ubuntu versions should match; if they do not, downgrade whichever one is too advanced
-1. The minor Python version in `tensorflow/tensorflow` must be used in all dockerfiles; search for e.g. `python3.6-dev` and update accordingly
-1. Update TensorFlow version listed in `tensorflow.md` and `python.md`
+It's probably safest to use the minor version of Python that you get when you run `apt-get install python3` ([currently that's what TensorFlow's Docker image does](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/cpu.Dockerfile))
+
+## TensorFlow / TensorFlow Serving
+
+1. Find the latest release on [GitHub](https://github.com/tensorflow/tensorflow/releases)
 1. Search the codebase for the current minor TensorFlow version (e.g. `2.1`) and update versions as appropriate
-1. Search the codebase for the minor Python version (e.g. `3.6`) and update versions as appropriate
-1. Search the codebase for `ubuntu` and update versions as appropriate
 
 Note: it's ok if example training notebooks aren't upgraded, as long as the exported model still works
 
+## CUDA
+
+1. Update the `nvidia/cuda` base image in `images/python-serve-gpu/Dockerfile` and `images/onnx-serve-gpu/Dockerfile` (as well as `libnvinfer` in `images/python-serve-gpu/Dockerfile` and `images/tf-serve-gpu/Dockerfile`) to the desired version based on [TensorFlow's documentation](https://www.tensorflow.org/install/gpu#ubuntu_1804_cuda_101) ([Dockerhub](https://hub.docker.com/r/nvidia/cuda)) (it's possible these versions will diverge depending on ONNX runtime support)
+
 ## ONNX runtime
 
 1. Update the version in `onnx-cpu.requirements.txt` and `onnx-gpu.requirements.txt` ([releases](https://github.com/microsoft/onnxruntime/releases))
@@ -204,6 +204,10 @@ Note: overriding horizontal-pod-autoscaler-sync-period on EKS is currently not s
 1. Find the latest 2.X release on [GitHub](https://github.com/helm/helm/releases) (Istio does not work with helm 3)
 1. Update the version in `images/manager/Dockerfile`
 
+## Ubuntu base images
+
+1. Search the codebase for `ubuntu` and update versions as appropriate
+
 ## Alpine base images
 
 1. Find the latest release on [Dockerhub](https://hub.docker.com/_/alpine)

images/onnx-serve-gpu/Dockerfile

@@ -23,7 +23,8 @@ RUN apt-get update -qq && apt-get install -y -q \
     curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && \
     python3.6 get-pip.py && \
     pip install --upgrade pip && \
-    rm -rf /root/.cache/pip*
+    rm -rf /root/.cache/pip* && \
+    ln -s /usr/bin/python3.6 /usr/local/bin/python
 
 RUN locale-gen en_US.UTF-8
 ENV LANG=en_US.UTF-8 LANGUAGE=en_US.en LC_ALL=en_US.UTF-8

images/onnx-serve/Dockerfile

@@ -23,7 +23,8 @@ RUN apt-get update -qq && apt-get install -y -q \
     curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && \
     python3.6 get-pip.py && \
     pip install --upgrade pip && \
-    rm -rf /root/.cache/pip*
+    rm -rf /root/.cache/pip* && \
+    ln -s /usr/bin/python3.6 /usr/local/bin/python
 
 RUN locale-gen en_US.UTF-8
 ENV LANG=en_US.UTF-8 LANGUAGE=en_US.en LC_ALL=en_US.UTF-8

images/python-serve-gpu/Dockerfile

@@ -25,7 +25,8 @@ RUN apt-get update -qq && apt-get install -y -q \
     curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && \
     python3.6 get-pip.py && \
     pip install --upgrade pip && \
-    rm -rf /root/.cache/pip*
+    rm -rf /root/.cache/pip* && \
+    ln -s /usr/bin/python3.6 /usr/local/bin/python
 
 RUN locale-gen en_US.UTF-8
 ENV LANG=en_US.UTF-8 LANGUAGE=en_US.en LC_ALL=en_US.UTF-8

images/python-serve/Dockerfile

@@ -23,7 +23,8 @@ RUN apt-get update -qq && apt-get install -y -q \
     curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && \
     python3.6 get-pip.py && \
     pip install --upgrade pip && \
-    rm -rf /root/.cache/pip*
+    rm -rf /root/.cache/pip* && \
+    ln -s /usr/bin/python3.6 /usr/local/bin/python
 
 RUN locale-gen en_US.UTF-8
 ENV LANG=en_US.UTF-8 LANGUAGE=en_US.en LC_ALL=en_US.UTF-8

images/tf-api/Dockerfile

@@ -1,20 +1,30 @@
-FROM tensorflow/tensorflow:2.1.0-py3
+FROM ubuntu:18.04
 
 RUN apt-get update -qq && apt-get install -y -q \
         build-essential \
+        curl \
         libfreetype6-dev \
         libpng-dev \
         libzmq3-dev \
         pkg-config \
+        rsync \
         software-properties-common \
+        unzip \
         zlib1g-dev \
+        python3.6-dev \
+        python3.6-distutils \
         git \
         libsm6 \
         libxext6 \
         libxrender-dev \
         libsndfile1 \
         locales \
-    && apt-get clean -qq && rm -rf /var/lib/apt/lists/*
+    && apt-get clean -qq && rm -rf /var/lib/apt/lists/* && \
+    curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && \
+    python3.6 get-pip.py && \
+    pip install --upgrade pip && \
+    rm -rf /root/.cache/pip* && \
+    ln -s /usr/bin/python3.6 /usr/local/bin/python
 
 RUN locale-gen en_US.UTF-8
 ENV LANG=en_US.UTF-8 LANGUAGE=en_US.en LC_ALL=en_US.UTF-8

pkg/workloads/cortex/serve/tf.requirements.txt

@@ -1,3 +1,5 @@
+tensorflow-cpu==2.1.0
+
 opencv-python==4.1.2.30
 tensor2tensor==1.15.4
 tensorflow-hub==0.7.0