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_XLA_SERVICE_GPU_GPU_TYPES_H_ 17 #define TENSORFLOW_COMPILER_XLA_SERVICE_GPU_GPU_TYPES_H_ 18 19 #include <string> 20 #include <utility> 21 22 #include "absl/types/variant.h" 23 24 namespace xla { 25 namespace gpu { 26 27 // GpuVersion is used to abstract Gpu hardware version. 28 // 29 // On Cuda platform, it comprises of an <int, int> pair 30 // denoting major and minor version. 31 // 32 // On ROCm platform, it comprises of an <int, string> pair 33 // the int has the contents of the hipDeviceProp_t::gcnArchValue field. 34 // the string has the contents of the hipDeviceProp_t::gcnArchName field. 35 // The string contains all the information needed to create an exact LLVM 36 // AMDGPUTarget corresopnding the AMDGPU device it represents, the int value 37 // by itself is not sufficient for this purpose 38 using GpuVersion = 39 absl::variant<std::pair<int, int>, std::pair<int, std::string>>; 40 } // namespace gpu 41 } // namespace xla 42 43 #endif // TENSORFLOW_COMPILER_XLA_SERVICE_GPU_GPU_TYPES_H_ 44