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 TENSORFLOW_DTENSOR_MLIR_DEVICE_UTILS_H_ 17 #define TENSORFLOW_DTENSOR_MLIR_DEVICE_UTILS_H_ 18 19 #include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project 20 #include "mlir/IR/Builders.h" // from @llvm-project 21 #include "mlir/IR/BuiltinOps.h" // from @llvm-project 22 #include "mlir/IR/Location.h" // from @llvm-project 23 #include "mlir/IR/Operation.h" // from @llvm-project 24 #include "mlir/IR/Value.h" // from @llvm-project 25 #include "tensorflow/dtensor/cc/dstatus.h" 26 #include "tensorflow/dtensor/cc/tensor_layout.h" 27 28 namespace tensorflow { 29 namespace dtensor { 30 31 // Returns an MLIR value representing the current device ID. Passing op is 32 // assumed to be wrapped by a function graph from dtensor_device, and the first 33 // argument of the it need to be DeviceId. 34 StatusOr<mlir::Value> DeviceId(mlir::Operation* op); 35 StatusOr<mlir::Value> DeviceId(mlir::Value val); 36 37 // Returns the device ordinal of the device executing a function. Device ordinal 38 // is the index of a TF device among all TF devices of the same type attached to 39 // the same TF task. 40 StatusOr<mlir::Value> GetDeviceOrdinal(const Mesh& mesh, 41 const mlir::Location& loc, 42 mlir::func::FuncOp function, 43 mlir::OpBuilder* builder, 44 bool return_int64_type = true); 45 46 } // namespace dtensor 47 } // namespace tensorflow 48 49 #endif // TENSORFLOW_DTENSOR_MLIR_DEVICE_UTILS_H_ 50