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