| /* Copyright 2021 The TensorFlow Authors. All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| |
| #include <memory> |
| |
| #include "llvm/ADT/ArrayRef.h" |
| #include "llvm/ADT/SmallVector.h" |
| #include "llvm/Support/Casting.h" |
| #include "llvm/Support/raw_ostream.h" |
| #include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project |
| #include "mlir/IR/Attributes.h" // from @llvm-project |
| #include "mlir/IR/Builders.h" // from @llvm-project |
| #include "mlir/IR/BuiltinOps.h" // from @llvm-project |
| #include "mlir/IR/BuiltinTypes.h" // from @llvm-project |
| #include "mlir/IR/Value.h" // from @llvm-project |
| #include "mlir/Pass/Pass.h" // from @llvm-project |
| #include "mlir/Pass/PassRegistry.h" // from @llvm-project |
| #include "mlir/Support/LLVM.h" // from @llvm-project |
| #include "mlir/Support/LogicalResult.h" // from @llvm-project |
| #include "mlir/Transforms/GreedyPatternRewriteDriver.h" // from @llvm-project |
| #include "tensorflow/compiler/mlir/lite/experimental/tac/common/targets.h" |
| #include "tensorflow/compiler/mlir/lite/experimental/tac/hardwares/nnapi_hardware.h" |
| #include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h" |
| #include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h" |
| |
| namespace mlir { |
| namespace TFL { |
| namespace tac { |
| namespace { |
| |
| struct DeviceTransformNNAPIPass |
| : public mlir::PassWrapper<DeviceTransformNNAPIPass, |
| OperationPass<func::FuncOp>> { |
| MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(DeviceTransformNNAPIPass) |
| |
| llvm::StringRef getArgument() const final { |
| return "tfl-device-transform-nnapi"; |
| } |
| llvm::StringRef getDescription() const final { |
| return "Suitable transformation for nnapi only."; |
| } |
| void getDependentDialects(DialectRegistry& registry) const override { |
| registry.insert<TF::TensorFlowDialect>(); |
| } |
| void runOnOperation() override; |
| }; |
| |
| void DeviceTransformNNAPIPass::runOnOperation() { |
| auto func = getOperation(); |
| auto* ctx = &getContext(); |
| NNAPIHardware nnapi_hardware; |
| RewritePatternSet patterns = nnapi_hardware.GetTransformations(ctx); |
| (void)applyPatternsAndFoldGreedily(func, std::move(patterns)); |
| } |
| |
| } // namespace |
| |
| static PassRegistration<DeviceTransformNNAPIPass> pass; |
| |
| } // namespace tac |
| } // namespace TFL |
| } // namespace mlir |