message: NFC: Make comments in passes.h to be uniform and fix typos
diff: @@ -50,7 +50,7 @@ std::unique_ptr<OpPassBase<FuncOp>> CreateQuantizePass();
  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 @@ std::unique_ptr<OpPassBase<ModuleOp>> CreateExtractOphintPass();
  // 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
  