IVGCVSW-5744 Remove Tensorflow, Caffe and Quantizer from documentation

* Remove from .md files and Doxygen
* Remove from armnn/docker build
* Remove Tensorflow model format from ExecuteNetworkParams
* Remove Tensorflow model format from ImageTensorGenerator

Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: Id6ed4a7d90366c396e8e0395d0ce43a3bcddcee6

2 files changed, 0 insertions, 143 deletions

diff --git a/docker/x86_64/Dockerfile b/docker/x86_64/Dockerfile
index 684b5cf34b..3a17635fea 100644
--- a/docker/x86_64/Dockerfile
+++ b/docker/x86_64/Dockerfile
@@ -95,22 +95,6 @@ RUN cd $HOME/google/protobuf-3.12.0 && \
     --with-protoc=$HOME/armnn-devenv/google/x86_64_pb_install/bin/protoc && \
     make install -j$(nproc)
 
-# Build Caffe for x86_64
-# Dep Install
-RUN apt-get update && apt-get install -y \
-    libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev \
-    --no-install-recommends libboost-all-dev \
-    libgflags-dev libgoogle-glog-dev liblmdb-dev \
-    libopenblas-dev \
-    libatlas-base-dev 
-
-
-# Makefile update
-# To Do: Don't copy the Local Make file to docker
-# RUN cd $HOME/caffe/ && rm Makefile.config.example
-COPY Makefile.config /tmp
-RUN mv /tmp/Makefile.config $HOME/caffe/
-
 # Dep Error - Bug ARMNN 
 RUN apt-get update && apt-get install -y \
      python-numpy
@@ -200,8 +184,6 @@ RUN cd $HOME/armnn-devenv && \
     -DARMCOMPUTENEON=1 -DARMCOMPUTECL=1 -DARMNNREF=1 \
     -DONNX_GENERATED_SOURCES=$HOME/armnn-devenv/onnx \
     -DBUILD_ONNX_PARSER=1 \
-    -DTF_GENERATED_SOURCES=$HOME/armnn-devenv/tensorflow-protobuf \
-    -DBUILD_TF_PARSER=1 \
     -DBUILD_TF_LITE_PARSER=1 \
     -DTF_LITE_GENERATED_PATH=$HOME/armnn-devenv/tflite \
     -DFLATBUFFERS_ROOT=$HOME/armnn-devenv/flatbuffers-arm64 \
diff --git a/docker/x86_64/Makefile.config b/docker/x86_64/Makefile.config
deleted file mode 100644
index 7f9b196a30..0000000000
--- a/docker/x86_64/Makefile.config
+++ /dev/null
@@ -1,125 +0,0 @@
-## Refer to http://caffe.berkeleyvision.org/installation.html
-# Contributions simplifying and improving our build system are welcome!
-
-# cuDNN acceleration switch (uncomment to build with cuDNN).
-# USE_CUDNN := 1
-
-# CPU-only switch (uncomment to build without GPU support).
-CPU_ONLY := 1
-
-# uncomment to disable IO dependencies and corresponding data layers
-# USE_OPENCV := 0
-# USE_LEVELDB := 0
-# USE_LMDB := 0
-# This code is taken from https://github.com/sh1r0/caffe-android-lib
-# USE_HDF5 := 0
-
-# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)
-#	You should not set this flag if you will be reading LMDBs with any
-#	possibility of simultaneous read and write
-# ALLOW_LMDB_NOLOCK := 1
-
-# Uncomment if you're using OpenCV 3
-# OPENCV_VERSION := 3
-
-# To customize your choice of compiler, uncomment and set the following.
-# N.B. the default for Linux is g++ and the default for OSX is clang++
-# CUSTOM_CXX := g++
-
-# CUDA directory contains bin/ and lib/ directories that we need.
-CUDA_DIR := /usr/local/cuda
-# On Ubuntu 14.04, if cuda tools are installed via
-# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:
-# CUDA_DIR := /usr
-
-# CUDA architecture setting: going with all of them.
-# For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility.
-# For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility.
-# For CUDA >= 9.0, comment the *_20 and *_21 lines for compatibility.
-CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
-		-gencode arch=compute_20,code=sm_21 \
-		-gencode arch=compute_30,code=sm_30 \
-		-gencode arch=compute_35,code=sm_35 \
-		-gencode arch=compute_50,code=sm_50 \
-		-gencode arch=compute_52,code=sm_52 \
-		-gencode arch=compute_60,code=sm_60 \
-		-gencode arch=compute_61,code=sm_61 \
-		-gencode arch=compute_61,code=compute_61
-
-# BLAS choice:
-# atlas for ATLAS (default)
-# mkl for MKL
-# open for OpenBlas
-BLAS := atlas
-# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
-# Leave commented to accept the defaults for your choice of BLAS
-# (which should work)!
-# BLAS_INCLUDE := /path/to/your/blas
-# BLAS_LIB := /path/to/your/blas
-
-# Homebrew puts openblas in a directory that is not on the standard search path
-# BLAS_INCLUDE := $(shell brew --prefix openblas)/include
-# BLAS_LIB := $(shell brew --prefix openblas)/lib
-
-# This is required only if you will compile the matlab interface.
-# MATLAB directory should contain the mex binary in /bin.
-# MATLAB_DIR := /usr/local
-# MATLAB_DIR := /Applications/MATLAB_R2012b.app
-
-# NOTE: this is required only if you will compile the python interface.
-# We need to be able to find Python.h and numpy/arrayobject.h.
-PYTHON_INCLUDE := /usr/include/python2.7 \
-		/usr/lib/python2.7/dist-packages/numpy/core/include
-# Anaconda Python distribution is quite popular. Include path:
-# Verify anaconda location, sometimes it's in root.
-# ANACONDA_HOME := $(HOME)/anaconda
-# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
-		# $(ANACONDA_HOME)/include/python2.7 \
-		# $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include
-
-# Uncomment to use Python 3 (default is Python 2)
-# PYTHON_LIBRARIES := boost_python3 python3.5m
-# PYTHON_INCLUDE := /usr/include/python3.5m \
-#                 /usr/lib/python3.5/dist-packages/numpy/core/include
-
-# We need to be able to find libpythonX.X.so or .dylib.
-PYTHON_LIB := /usr/lib
-# PYTHON_LIB := $(ANACONDA_HOME)/lib
-
-# Homebrew installs numpy in a non standard path (keg only)
-# PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include
-# PYTHON_LIB += $(shell brew --prefix numpy)/lib
-
-# Uncomment to support layers written in Python (will link against Python libs)
-# WITH_PYTHON_LAYER := 1
-
-# Whatever else you find you need goes here.
-INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial/ \
-				  /root/armnn-devenv/google/x86_64_pb_install/include/
-LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu/hdf5/serial/ \
-                                  /root/armnn-devenv/google/x86_64_pb_install/lib/
-
-# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies
-# INCLUDE_DIRS += $(shell brew --prefix)/include
-# LIBRARY_DIRS += $(shell brew --prefix)/lib
-
-# NCCL acceleration switch (uncomment to build with NCCL)
-# https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0)
-# USE_NCCL := 1
-
-# Uncomment to use `pkg-config` to specify OpenCV library paths.
-# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)
-# USE_PKG_CONFIG := 1
-
-# N.B. both build and distribute dirs are cleared on `make clean`
-BUILD_DIR := build
-DISTRIBUTE_DIR := distribute
-
-# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
-# DEBUG := 1
-
-# The ID of the GPU that 'make runtest' will use to run unit tests.
-TEST_GPUID := 0
-
-# enable pretty build (comment to see full commands)
-Q ?= @