message: indie/Pip version patch
diff: @@ -37,11 +37,15 @@ a variety of nGraph-enabled backends: CPU, GPU, and custom silicon like the
  Complete the following steps to install a pre-built nGraph bridge for
  TensorFlow.
  -1. Install TensorFlow:
  +1. Ensure the following pip version is being used:
  +
  + pip install --upgrade pip==19.3.1
  +
  +2. Install TensorFlow:
  pip install -U tensorflow==1.14.0
  -2. Install `ngraph-tensorflow-bridge`:
  +3. Install `ngraph-tensorflow-bridge`:
  pip install -U ngraph-tensorflow-bridge
  @@ -59,15 +63,16 @@ Pyenv. Some users prefer Anaconda/Miniconda. Before building nGraph, ensure that
  you can successfully build TensorFlow on macOS with a suitable Python
  environment.
  -The requirements for building nGraph bridge are identical to the requirements for building TensorFlow from source. For more information, review the [TensorFlow configuration] details.
  +The requirements for building nGraph bridge are identical to the requirements for
  +building TensorFlow from source. For more information, review the [TensorFlow configuration]
  +details.
  ##### Prepare your build environment
  -Install the following requirements before building
  - `nGraph-bridge`.
  +Install the following requirements before building the `ngraph-bridge`.
  -Tensorflow uses a build system called "bazel". For the current
  - version of `bazel`, use [bazel version].
  +TensorFlow uses a build system called "bazel". For the current version of `bazel`,
  +use [bazel version].
  Install `bazel`:
  @@ -135,6 +140,7 @@ This will produce something like this:
  nGraph bridge built with Variables and Optimizers Enablement: False
  +
  Note: The version of the ngraph-tensorflow-bridge is not going to be exactly
  the same as when you build from source. This is due to delay in the source
  release and publishing the corresponding Python wheel.
  