1 /* Copyright 2015 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 #include "tensorflow/core/kernels/reduction_ops_common.h" 17 18 namespace tensorflow { 19 20 #define REGISTER_CPU_KERNELS(type) \ 21 REGISTER_KERNEL_BUILDER( \ 22 Name("Max") \ 23 .Device(DEVICE_CPU) \ 24 .TypeConstraint<type>("T") \ 25 .TypeConstraint<int32>("Tidx"), \ 26 ReductionOp<CPUDevice, type, int32, Eigen::internal::MaxReducer<type>>); \ 27 REGISTER_KERNEL_BUILDER( \ 28 Name("Max") \ 29 .Device(DEVICE_CPU) \ 30 .TypeConstraint<type>("T") \ 31 .TypeConstraint<int64>("Tidx"), \ 32 ReductionOp<CPUDevice, type, int64, Eigen::internal::MaxReducer<type>>); 33 TF_CALL_REAL_NUMBER_TYPES(REGISTER_CPU_KERNELS); 34 #undef REGISTER_CPU_KERNELS 35 36 #if GOOGLE_CUDA 37 38 #define REGISTER_GPU_KERNELS(type) \ 39 REGISTER_KERNEL_BUILDER( \ 40 Name("Max") \ 41 .Device(DEVICE_GPU) \ 42 .TypeConstraint<type>("T") \ 43 .TypeConstraint<int32>("Tidx") \ 44 .HostMemory("reduction_indices"), \ 45 ReductionOp<GPUDevice, type, int32, Eigen::internal::MaxReducer<type>>); \ 46 REGISTER_KERNEL_BUILDER( \ 47 Name("Max") \ 48 .Device(DEVICE_GPU) \ 49 .TypeConstraint<type>("T") \ 50 .TypeConstraint<int64>("Tidx") \ 51 .HostMemory("reduction_indices"), \ 52 ReductionOp<GPUDevice, type, int64, Eigen::internal::MaxReducer<type>>); 53 54 REGISTER_GPU_KERNELS(Eigen::half); 55 REGISTER_GPU_KERNELS(float); 56 REGISTER_GPU_KERNELS(double); 57 REGISTER_GPU_KERNELS(int64); 58 59 // A special GPU kernel for int32. 60 // TODO(b/25387198): Also enable int32 in device memory. This kernel 61 // registration requires all int32 inputs and outputs to be in host memory. 62 REGISTER_KERNEL_BUILDER( 63 Name("Max") 64 .Device(DEVICE_GPU) 65 .HostMemory("reduction_indices") 66 .HostMemory("input") 67 .HostMemory("output") 68 .TypeConstraint<int32>("T") 69 .TypeConstraint<int32>("Tidx"), 70 ReductionOp<CPUDevice, int32, int32, Eigen::internal::MaxReducer<int32>>); 71 REGISTER_KERNEL_BUILDER( 72 Name("Max") 73 .Device(DEVICE_GPU) 74 .HostMemory("reduction_indices") 75 .HostMemory("input") 76 .HostMemory("output") 77 .TypeConstraint<int32>("T") 78 .TypeConstraint<int64>("Tidx"), 79 ReductionOp<CPUDevice, int32, int64, Eigen::internal::MaxReducer<int32>>); 80 81 #undef REGISTER_GPU_KERNELS 82 83 #endif 84 85 #ifdef TENSORFLOW_USE_SYCL 86 #define REGISTER_SYCL_KERNELS(type) \ 87 REGISTER_KERNEL_BUILDER(Name("Max") \ 88 .Device(DEVICE_SYCL) \ 89 .TypeConstraint<type>("T") \ 90 .TypeConstraint<int32>("Tidx") \ 91 .HostMemory("reduction_indices"), \ 92 ReductionOp<SYCLDevice, type, int32, \ 93 Eigen::internal::MaxReducer<type>>); \ 94 REGISTER_KERNEL_BUILDER(Name("Max") \ 95 .Device(DEVICE_SYCL) \ 96 .TypeConstraint<type>("T") \ 97 .TypeConstraint<int64>("Tidx") \ 98 .HostMemory("reduction_indices"), \ 99 ReductionOp<SYCLDevice, type, int64, \ 100 Eigen::internal::MaxReducer<type>>); 101 REGISTER_SYCL_KERNELS(float); 102 REGISTER_SYCL_KERNELS(double); 103 104 REGISTER_KERNEL_BUILDER( 105 Name("Max") 106 .Device(DEVICE_SYCL) 107 .HostMemory("reduction_indices") 108 .HostMemory("input") 109 .HostMemory("output") 110 .TypeConstraint<int32>("T") 111 .TypeConstraint<int32>("Tidx"), 112 ReductionOp<CPUDevice, int32, int32, Eigen::internal::MaxReducer<int32>>); 113 REGISTER_KERNEL_BUILDER( 114 Name("Max") 115 .Device(DEVICE_SYCL) 116 .HostMemory("reduction_indices") 117 .HostMemory("input") 118 .HostMemory("output") 119 .TypeConstraint<int32>("T") 120 .TypeConstraint<int64>("Tidx"), 121 ReductionOp<CPUDevice, int32, int64, Eigen::internal::MaxReducer<int32>>); 122 #undef REGISTER_SYCL_KERNELS 123 #endif // TENSORFLOW_USE_SYCL 124 125 } // namespace tensorflow 126