1 /* Copyright 2019 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 #ifndef TENSORFLOW_COMPILER_MLIR_TENSORFLOW_TRANSFORMS_DECOMPOSE_RESOURCE_OPS_H_ 17 #define TENSORFLOW_COMPILER_MLIR_TENSORFLOW_TRANSFORMS_DECOMPOSE_RESOURCE_OPS_H_ 18 19 #include "mlir/IR/MLIRContext.h" // from @llvm-project 20 #include "mlir/IR/PatternMatch.h" // from @llvm-project 21 22 namespace mlir { 23 namespace TF { 24 25 // Populates rewrite patterns that decompose composite resource operations into 26 // primitive ones like ReadVariableOp, AssignVariableOp and other computations 27 // to facilitate transformations like resource op lifting. 28 // NOTE: These patterns do not support `use_locking=true` for a lot of resource 29 // operations. So decomposition may not be correct outside of backends like XLA, 30 // which automatically locks all resource variables. 31 void PopulateDecomposeResourceOpsPatterns(MLIRContext *context, 32 OwningRewritePatternList *patterns); 33 34 } // namespace TF 35 } // namespace mlir 36 37 #endif // TENSORFLOW_COMPILER_MLIR_TENSORFLOW_TRANSFORMS_DECOMPOSE_RESOURCE_OPS_H_ 38