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 // See docs in ../ops/array_ops.cc. 17 #include "tensorflow/core/kernels/identity_op.h" 18 19 #include "tensorflow/core/framework/op_kernel.h" 20 #include "tensorflow/core/framework/register_types.h" 21 #include "tensorflow/core/framework/tensor.h" 22 #include "tensorflow/core/framework/types.h" 23 24 namespace tensorflow { 25 26 REGISTER_KERNEL_BUILDER(Name("Identity").Device(DEVICE_CPU), IdentityOp); 27 // StopGradient does the same thing as Identity, but has a different 28 // gradient registered. 29 REGISTER_KERNEL_BUILDER(Name("StopGradient").Device(DEVICE_CPU), IdentityOp); 30 // PreventGradient does the same thing as Identity, but has a NO 31 // gradient registered. 32 REGISTER_KERNEL_BUILDER(Name("PreventGradient").Device(DEVICE_CPU), IdentityOp); 33 34 // PlaceholderWithDefault does the same thing as Identity, but has a 35 // different shape function (and constant value function) registered. 36 REGISTER_KERNEL_BUILDER(Name("PlaceholderWithDefault").Device(DEVICE_CPU), 37 IdentityOp); 38 39 REGISTER_KERNEL_BUILDER(Name("RefIdentity").Device(DEVICE_CPU), IdentityOp); 40 41 // Identity op for gradients debugging in TensorFlow Debugger (hidden op in 42 // Python). 43 REGISTER_KERNEL_BUILDER(Name("DebugGradientIdentity").Device(DEVICE_CPU), 44 IdentityOp); 45 REGISTER_KERNEL_BUILDER(Name("DebugGradientRefIdentity").Device(DEVICE_CPU), 46 IdentityOp); 47 48 #if TENSORFLOW_USE_SYCL 49 #define REGISTER_SYCL_KERNEL(type) \ 50 REGISTER_KERNEL_BUILDER( \ 51 Name("Identity").Device(DEVICE_SYCL).TypeConstraint<type>("T"), \ 52 IdentityOp); \ 53 REGISTER_KERNEL_BUILDER( \ 54 Name("PreventGradient").Device(DEVICE_SYCL).TypeConstraint<type>("T"), \ 55 IdentityOp); \ 56 REGISTER_KERNEL_BUILDER( \ 57 Name("RefIdentity").Device(DEVICE_SYCL).TypeConstraint<type>("T"), \ 58 IdentityOp); \ 59 REGISTER_KERNEL_BUILDER( \ 60 Name("StopGradient").Device(DEVICE_SYCL).TypeConstraint<type>("T"), \ 61 IdentityOp) 62 63 TF_CALL_NUMBER_TYPES_NO_INT32(REGISTER_SYCL_KERNEL); 64 65 #undef REGISTER_SYCL_KERNEL 66 67 #define REGISTER_SYCL_HOST_KERNEL(type) \ 68 REGISTER_KERNEL_BUILDER(Name("Identity") \ 69 .Device(DEVICE_SYCL) \ 70 .HostMemory("input") \ 71 .HostMemory("output") \ 72 .TypeConstraint<type>("T"), \ 73 IdentityOp); \ 74 REGISTER_KERNEL_BUILDER(Name("RefIdentity") \ 75 .Device(DEVICE_SYCL) \ 76 .HostMemory("input") \ 77 .HostMemory("output") \ 78 .TypeConstraint<type>("T"), \ 79 IdentityOp) 80 81 REGISTER_SYCL_HOST_KERNEL(int32); 82 REGISTER_SYCL_HOST_KERNEL(bool); 83 84 #undef REGISTER_SYCL_HOST_KERNEL 85 86 #endif // TENSORFLOW_USE_SYCL 87 88 #define REGISTER_GPU_KERNEL(type) \ 89 REGISTER_KERNEL_BUILDER( \ 90 Name("Identity").Device(DEVICE_GPU).TypeConstraint<type>("T"), \ 91 IdentityOp); \ 92 REGISTER_KERNEL_BUILDER( \ 93 Name("PreventGradient").Device(DEVICE_GPU).TypeConstraint<type>("T"), \ 94 IdentityOp); \ 95 REGISTER_KERNEL_BUILDER( \ 96 Name("RefIdentity").Device(DEVICE_GPU).TypeConstraint<type>("T"), \ 97 IdentityOp); \ 98 REGISTER_KERNEL_BUILDER( \ 99 Name("StopGradient").Device(DEVICE_GPU).TypeConstraint<type>("T"), \ 100 IdentityOp); \ 101 REGISTER_KERNEL_BUILDER(Name("DebugGradientIdentity") \ 102 .Device(DEVICE_GPU) \ 103 .TypeConstraint<type>("T"), \ 104 IdentityOp) 105 106 TF_CALL_NUMBER_TYPES_NO_INT32(REGISTER_GPU_KERNEL); 107 REGISTER_GPU_KERNEL(Variant); 108 109 #undef REGISTER_GPU_KERNEL 110 111 #if GOOGLE_CUDA 112 // A special GPU kernel for int32 and bool. 113 // TODO(b/25387198): Also enable int32 in device memory. This kernel 114 // registration requires all int32 inputs and outputs to be in host memory. 115 #define REGISTER_GPU_HOST_KERNEL(type) \ 116 REGISTER_KERNEL_BUILDER(Name("Identity") \ 117 .Device(DEVICE_GPU) \ 118 .HostMemory("input") \ 119 .HostMemory("output") \ 120 .TypeConstraint<type>("T"), \ 121 IdentityOp); \ 122 REGISTER_KERNEL_BUILDER(Name("RefIdentity") \ 123 .Device(DEVICE_GPU) \ 124 .HostMemory("input") \ 125 .HostMemory("output") \ 126 .TypeConstraint<type>("T"), \ 127 IdentityOp) 128 129 REGISTER_GPU_HOST_KERNEL(int32); 130 REGISTER_GPU_HOST_KERNEL(bool); 131 REGISTER_GPU_HOST_KERNEL(string); 132 133 #undef REGISTER_GPU_HOST_KERNEL 134 135 #endif 136 137 } // namespace tensorflow 138
