Updated and regenerated documentation.

Author: hfp

config/tf/README.md

@@ -4,5 +4,5 @@ There is a recipe available for [TensorFlow with LIBXSMM](https://libxsmm.readth
 
 # TensorFlow Serving
 
-Similarly, there is a recipe available for [TensorFlow Serving with LIBXSMM](https://libxsmm.readthedocs.io/tfserving/) ([PDF](https://github.com/hfp/libxsmm/raw/master/documentation/tfserving.pdf)).
+For experimentation, there is a recipe available for [TensorFlow Serving with LIBXSMM](tfserving.md). Please note this recipe is likely outdated and not intended for production use.
 

config/tf/tfserving.md

@@ -0,0 +1,30 @@
+# TensorFlow Serving with LIBXSMM
+
+The TensorFlow Serving framework uses TensorFlow underneath and adds a web-based client/server infrastructure, which can serve requests for inference on an already trained model. The [TensorFlow Serving repository](https://github.com/hfp/tensorflow-serving) (as cloned below) is tracking the master revision of the [original Serving framework](https://github.com/tensorflow/serving) and it is modified to use a [fork of TensorFlow](https://github.com/hfp/tensorflow) which by itself uses a recent revision of LIBXSMM and the Eigen library (see [here](tensorflow.md)).
+
+```bash
+git clone https://github.com/hfp/tensorflow-serving.git
+```
+
+It is recommended to use a recent GNU Compiler Collection to build TensorFlow (v5.1 and later). With any [recent Bazel version](https://github.com/bazelbuild/bazel/releases), the desired compiler version can be added to the environment:
+
+```bash
+export PATH=/path/to/gcc/bin:${PATH}
+export LD_LIBRARY_PATH=/path/to/gcc/lib64:/path/to/gcc/lib:${LD_LIBRARY_PATH}
+export LIBRARY_PATH=/path/to/gcc/lib64:${LIBRARY_PATH}
+```
+
+To build the Serving framework execute the following command:
+
+```bash
+bazel build --verbose_failures -c opt --cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0 \
+  --copt=-O2 --copt=-fopenmp-simd --copt=-DLIBXSMM_OPENMP_SIMD \
+  --define tensorflow_xsmm=1 --define tensorflow_xsmm_convolutions=1 \
+  --define tensorflow_xsmm_backward_convolutions=1 \
+  --copt=-mfma --copt=-mavx2 \
+  --action_env TF_REVISION="master" \
+  tensorflow_serving/...
+```
+
+If specific target flags are desired (instead of `-mfma -mavx2`), please refer to the [TensorFlow with LIBXSMM](tensorflow.md#specific-codepath) document. This document can be referred for more details in general.
+