| // Copyright 2021 The IREE Authors | |
| // | |
| // Licensed under the Apache License v2.0 with LLVM Exceptions. | |
| // See https://llvm.org/LICENSE.txt for license information. | |
| // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception | |
| #include "iree_tf_compiler/TFL/Passes.h" | |
| #include "mlir/Conversion/ReconcileUnrealizedCasts/ReconcileUnrealizedCasts.h" | |
| #include "mlir/Dialect/Shape/Transforms/Passes.h" | |
| #include "mlir/Pass/PassManager.h" | |
| #include "mlir/Pass/PassRegistry.h" | |
| #include "mlir/Transforms/Passes.h" | |
| #include "tensorflow/compiler/mlir/tosa/tf_tfl_passes.h" | |
| #include "tensorflow/compiler/mlir/tosa/transforms/passes.h" | |
| namespace mlir { | |
| namespace iree_integrations { | |
| namespace TFL { | |
| namespace { | |
| #define GEN_PASS_REGISTRATION | |
| #include "iree_tf_compiler/TFL/Passes.h.inc" // IWYU pragma: export | |
| } // namespace | |
| // All IREE-specific passes that lower TFL representations before reaching the | |
| // IREE core should go here. | |
| void buildTFLImportPassPipeline(OpPassManager &pm) { | |
| //---------------------------------------------------------------------------- | |
| // Guarantee the call once functions are preserved. | |
| //---------------------------------------------------------------------------- | |
| pm.addPass(createRetainCallOnceFuncsPass()); | |
| //---------------------------------------------------------------------------- | |
| // Input IR cleanup | |
| //---------------------------------------------------------------------------- | |
| pm.addPass(createInlinerPass()); | |
| pm.addPass(createCanonicalizerPass()); | |
| pm.addPass(createSymbolDCEPass()); | |
| //---------------------------------------------------------------------------- | |
| // Convert useful metadata into forms IREE's main compiler understands | |
| //---------------------------------------------------------------------------- | |
| pm.addPass(createConvertModuleMetadataPass()); | |
| pm.nest<ModuleOp>().addPass(createConvertFunctionMetadataPass()); | |
| //---------------------------------------------------------------------------- | |
| // Convert all TFL ops to TOSA ops | |
| //---------------------------------------------------------------------------- | |
| mlir::tosa::TOSATFTFLLegalizationPipelineOptions tosaOptions; | |
| pm.addPass(createLowerGlobalTensorsPass()); | |
| mlir::tosa::createTFTFLtoTOSALegalizationPipeline(pm, tosaOptions); | |
| pm.nest<FuncOp>().addPass(mlir::tosa::createStripQuantTypesPass()); | |
| pm.addPass(createCanonicalizerPass()); | |
| pm.addPass(createReconcileUnrealizedCastsPass()); | |
| //---------------------------------------------------------------------------- | |
| // Lowering shape-related constructs | |
| //---------------------------------------------------------------------------- | |
| // TODO(#3975): support dynamic shapes in tflite inputs. | |
| // pm.addPass(iree_compiler::Shape::createConvertHLOToShapePass()); | |
| // pm.addPass(createCanonicalizerPass()); | |
| // pm.addPass(iree_compiler::Shape::createConvertShapeToShapexPass()); | |
| // pm.addPass(createCanonicalizerPass()); | |
| //---------------------------------------------------------------------------- | |
| // Remove the rest of the TFL goo and verify that all ops converted | |
| //---------------------------------------------------------------------------- | |
| pm.nest<FuncOp>().addPass(createStripFunctionMetadataPass()); | |
| pm.addPass(createStripModuleMetadataPass()); | |
| pm.addPass(createVerifyFullyConvertedPass()); | |
| } | |
| void registerTFLImportPassPipeline() { | |
| mlir::PassPipelineRegistration<> pipeline( | |
| "iree-tflite-import-pipeline", | |
| "Run IREE-specific passes for importing TFLite code into IREE", | |
| [](OpPassManager &passManager) { | |
| buildTFLImportPassPipeline(passManager); | |
| }); | |
| } | |
| void registerAllPasses() { | |
| registerTFLImportPassPipeline(); | |
| // Generated. | |
| registerPasses(); | |
| createVerifyFullyConvertedPass(); | |
| } | |
| } // namespace TFL | |
| } // namespace iree_integrations | |
| } // namespace mlir |