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Update naming of MLIR bridge flag and add some documentation.

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PiperOrigin-RevId: 338152017
Change-Id: Ib0573db86327077245d60c7eb57d8e10ec051b6e
This commit is contained in:
Lucy Fox 2020-10-20 15:38:29 -07:00 committed by TensorFlower Gardener
parent 32f35aabce
commit db14325178
1 changed files with 11 additions and 3 deletions
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14
tensorflow/compiler/jit/flags.cc
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@ -167,8 +167,16 @@ void AllocateAndParseFlags() {
jitter_flags = new IntroduceFloatingPointJitterPassFlags;
jitter_flags->jitter_amount = 1e-5;
// The `enable_mlir_bridge` flag allows the user to explicitly request that
// their program is (or isn't) compiled using the MLIR-based TF-to-XLA bridge.
//
// The `enable_mlir_bridge_is_explicit` variable tracks whether or not the
// user has made an explicit request. That is, if this variable is set to
// true, the program honors the user's request as per `enable_mlir_bridge`; if
// it's set to false, the default behavior is used (which may run either
// bridge, on a per-graph basis).
bool enable_mlir_bridge = false;
bool enable_mlir_bridge_flag_updated = false;
bool enable_mlir_bridge_is_explicit = false;
auto setter_for_jitter_tensor_names = [](string sequence) {
jitter_flags->tensor_names = absl::StrSplit(sequence, ',');
@ -219,13 +227,13 @@ void AllocateAndParseFlags() {
Flag("tf_mlir_enable_mlir_bridge", &enable_mlir_bridge,
"Enables experimental MLIR-Based TensorFlow Compiler Bridge.",
&enable_mlir_bridge_flag_updated)});
&enable_mlir_bridge_is_explicit)});
AppendMarkForCompilationPassFlagsInternal(flag_list);
xla::ParseFlagsFromEnvAndDieIfUnknown("TF_XLA_FLAGS", *flag_list);
mlir_flags = new MlirCommonFlags;
if (!enable_mlir_bridge_flag_updated) {
if (!enable_mlir_bridge_is_explicit) {
mlir_flags->tf_mlir_enable_mlir_bridge =
ConfigProto::Experimental::MLIR_BRIDGE_ROLLOUT_UNSPECIFIED;
} else if (enable_mlir_bridge) {