1 /* Copyright 2021 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 // Rewrites ops that require quantized inputs or outputs to ops that allow 17 // non-quantized inputs and outputs. 18 19 #include "mlir/Transforms/GreedyPatternRewriteDriver.h" // from @llvm-project 20 #include "tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.h" 21 #include "tensorflow/compiler/mlir/tensorflow/transforms/passes_detail.h" 22 23 #define DEBUG_TYPE "tf-lower-quantized" 24 25 namespace mlir { 26 namespace TF { 27 namespace { 28 29 class LowerQuantizedPass : public LowerQuantizedPassBase<LowerQuantizedPass> { 30 public: runOnOperation()31 void runOnOperation() override { 32 RewritePatternSet patterns(&getContext()); 33 mlir::TF::PopulateLoweringQuantizedPatterns(&getContext(), &patterns); 34 (void)applyPatternsAndFoldGreedily(getOperation(), std::move(patterns)); 35 } 36 }; 37 38 } // namespace 39 CreateLowerQuantizedPass()40std::unique_ptr<OperationPass<func::FuncOp>> CreateLowerQuantizedPass() { 41 return std::make_unique<LowerQuantizedPass>(); 42 } 43 44 } // namespace TF 45 } // namespace mlir 46