message: [XLA] [Docs] Break up a section on supported platforms: it is better to state it separately in each sub-section, as otherwise some information is redundant
diff: @@ -75,6 +75,8 @@ enabled on CPU by additionally using the flag `--tf_xla_cpu_global_jit`:
  $ TF_XLA_FLAGS="--tf_xla_auto_jit=2 --tf_xla_cpu_global_jit" path/to/your/program
  ```
  +Auto-clustering support on a CPU and on multi-GPU environments is experimental.
  +
  For a detailed usage example, see the
  [auto-clustering tutorial colab](./tutorials/autoclustering_xla.ipynb).
  @@ -98,7 +100,7 @@ colab](./tutorials/compile.ipynb) for usage examples.
  ### AOT (Ahead-of-time) compilation for CPU with `tfcompile`
  You can also use a standalone [`tfcompile`](./tfcompile) tool,
  -which converts TensorFlow graph into executable code (for CPU only).
  +which converts TensorFlow graph into executable code (for x86-64 CPU only).
  ## Inspect compiled programs
  @@ -133,13 +135,7 @@ the TensorFlow graph with:
  $ TF_DUMP_GRAPH_PREFIX=/tmp/generated TF_XLA_FLAGS="--tf_xla_clustering_debug"
  ```
  -## Supported platforms
  -
  -Auto-clustering is supported on NVIDIA GPUs, and ahead-of-time compilation is
  -supported on x86-64 CPUs. Auto-clustering support on multi-GPU environments and
  -on a CPU is experimental.
  -
  -## Generating great bug reports
  +## Reproducible bug reports
  A bug report is much easier to reproduce if it includes dumps for the generated
  XLA programs and the used auto-clustering embedding.
  