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_UTILS_DEVICE_UTIL_H_ 17 #define TENSORFLOW_COMPILER_MLIR_TENSORFLOW_UTILS_DEVICE_UTIL_H_ 18 19 #include "llvm/ADT/SmallVector.h" 20 #include "mlir/IR/Location.h" // from @llvm-project 21 #include "mlir/IR/Operation.h" // from @llvm-project 22 #include "mlir/Support/LogicalResult.h" // from @llvm-project 23 #include "tensorflow/compiler/mlir/tensorflow/ir/tf_structs.h" 24 #include "tensorflow/core/common_runtime/device_set.h" 25 #include "tensorflow/core/util/device_name_utils.h" 26 27 namespace tensorflow { 28 29 // Collects all devices known to the system by name and adds them as a 30 // `tf.devices` dictionary attribute with a full device name as a key, and 31 // device metadata as a value. 32 // 33 // Device names added in full parsed device form: 34 // /job:<name>/replica:<replica>/task:<task>/device:<type>:<device_num> 35 // 36 // Supported device metadata types: 37 // (1) GpuDeviceMetadata: GPU device compute capability. 38 void AddDevicesToOp(mlir::Operation* op, const DeviceSet* device_set); 39 40 // Collects devices information from an op `tf.devices` attributes. Returns 41 // failure if can't parse device metadata from the attribute. 42 mlir::LogicalResult GetDevicesFromOp(mlir::Operation* op, 43 mlir::TF::RuntimeDevices* devices); 44 45 // Parses a device string and returns its ordinal (id). This will return an 46 // error if the device string is invalid or has no id. 47 mlir::LogicalResult GetDeviceOrdinalFromDeviceString(mlir::Location loc, 48 llvm::StringRef device, 49 int64_t* device_ordinal); 50 51 } // namespace tensorflow 52 53 #endif // TENSORFLOW_COMPILER_MLIR_TENSORFLOW_UTILS_DEVICE_UTIL_H_ 54