NFC: Make comments in passes.h to be uniform and fix typos
PiperOrigin-RevId: 293599693
Change-Id: I014d809954994fab13de78557fbc3aae1519dec5
diff --git a/tensorflow/compiler/mlir/lite/transforms/passes.h b/tensorflow/compiler/mlir/lite/transforms/passes.h
index ccf8ec1..d821ca2 100644
--- a/tensorflow/compiler/mlir/lite/transforms/passes.h
+++ b/tensorflow/compiler/mlir/lite/transforms/passes.h
@@ -50,7 +50,7 @@
std::unique_ptr<OpPassBase<FuncOp>> CreatePrepareQuantizePass(
const QuantizationSpecs& quant_specs);
-// Creates a instance of the TensorFlow Lite dialect PostQuantize pass.
+// Creates an instance of the TensorFlow Lite dialect PostQuantize pass.
std::unique_ptr<OpPassBase<FuncOp>> CreatePostQuantizePass(
bool emit_quant_adaptor_ops);
@@ -70,16 +70,19 @@
// pass. The composite op is created from the ophint extraction pass.
std::unique_ptr<OpPassBase<ModuleOp>> CreateLegalizeOphintFuncOpPass();
-// Creates an instance of TensorFlow Lite dialect SplitMergedOperandsPass.
+// Creates an instance of the TensorFlow Lite dialect SplitMergedOperandsPass.
std::unique_ptr<OpPassBase<FuncOp>> CreateSplitMergedOperandsPass();
+// Creates an instance of the TensorFlow Lite dialect OptimizeFunctionalOpsPass.
std::unique_ptr<OpPassBase<ModuleOp>> CreateOptimizeFunctionalOpsPass();
-// Creates an instance pass to add default quantization parameters.
+// Creates an instance of the TensorFlow Lite dialect pass to add default
+// quantization parameters.
std::unique_ptr<OpPassBase<FuncOp>> CreateDefaultQuantParamsPass(
double default_min, double default_max);
-// Creates an instance pass to convert dense tensor to sparse format.
+// Creates an instance of the TensorFlow Lite dialect pass to convert dense
+// tensor to sparse format.
std::unique_ptr<OpPassBase<FuncOp>> CreateDenseToSparsePass();
} // namespace TFL
