1 /* Copyright 2022 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 XLA_MLIR_UTILS_RUNTIME_CONSTRAINTS_H_ 17 #define XLA_MLIR_UTILS_RUNTIME_CONSTRAINTS_H_ 18 19 #include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project 20 #include "mlir/IR/BuiltinTypes.h" // from @llvm-project 21 #include "mlir/IR/Types.h" // from @llvm-project 22 #include "tensorflow/compiler/xla/runtime/constraints.h" 23 24 namespace xla { 25 namespace runtime { 26 27 // Returns arguments constraints inferred from the function signature. 28 llvm::Expected<llvm::SmallVector<ArgumentConstraint>> GetArgumentsConstraints( 29 mlir::func::FuncOp func); 30 31 // Resolves argument constraint based on the argument type, if constraint is 32 // fully satisfied by the type, returns `kResolved`. 33 llvm::Expected<ArgumentConstraint> ResolveArgumentConstraint( 34 ArgumentConstraint constraint, mlir::Type type); 35 36 // Returns true iff the value of given type can be sunk into the function body 37 // at run time via value specialization. SupportsValueSpecialization(mlir::Type type)38inline bool SupportsValueSpecialization(mlir::Type type) { 39 // TODO(ezhulenev): Add support for sinking `memref` values once the value 40 // specialization will support it. 41 mlir::TensorType tensor = type.dyn_cast<mlir::TensorType>(); 42 return tensor && (tensor.getRank() == 0 || tensor.getRank() == 1) && 43 (tensor.getElementType().isInteger(32) || 44 tensor.getElementType().isInteger(64)); 45 } 46 47 } // namespace runtime 48 } // namespace xla 49 50 #endif // XLA_MLIR_UTILS_RUNTIME_CONSTRAINTS_H_ 51