message: Add the flag value TF_XLA_FLAGS=--tf_xla_auto_jit=fusible to enable XLA and the tf_xla_supported_nodes=FUSIBLE flag. This make using that mode easier.
diff: @@ -48,6 +48,12 @@ bool SetterForXlaAutoJitFlag(const string& value) {
  return true;
  }
  + if (value == "fusible") {
  + mark_for_compilation_flags->xla_auto_jit_flag.optimization_level_general = 1;
  + mark_for_compilation_flags->tf_xla_supported_nodes = "FUSIBLE";
  + return true;
  + }
  +
  absl::string_view value_sv(value);
  if (!absl::ConsumePrefix(&value_sv, "single-gpu(") ||
  !absl::ConsumeSuffix(&value_sv, ")") ||
  @@ -65,7 +71,8 @@ void AppendMarkForCompilationPassFlagsInternal(std::vector<Flag>* flag_list) {
  Flag("tf_xla_auto_jit", SetterForXlaAutoJitFlag, "0",
  "Control compilation of operators into XLA computations on CPU and "
  "GPU devices. 0 = use ConfigProto setting; -1 = off; 1 = on for "
  - "things very likely to be improved; 2 = on for everything. "
  + "things very likely to be improved; 2 = on for everything; "
  + "fusible = only for Tensorflow operation that XLA know how to fuse. "
  "If set to single-gpu(<N>) then this resolves to <N> for single-GPU "
  "graphs (graphs that have at least one node placed on a GPU and no "
  "more than one GPU is in use through the entire graph) and 0 "
  