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/nn_ops.cc. 17 18 #define EIGEN_USE_THREADS 19 20 #include "tensorflow/core/kernels/softplus_op.h" 21 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" 22 #include "tensorflow/core/framework/numeric_op.h" 23 #include "tensorflow/core/framework/op_kernel.h" 24 #include "tensorflow/core/framework/register_types.h" 25 #include "tensorflow/core/framework/tensor.h" 26 #include "tensorflow/core/kernels/warn_about_ints.h" 27 #include "tensorflow/core/lib/core/errors.h" 28 29 namespace tensorflow { 30 31 typedef Eigen::ThreadPoolDevice CPUDevice; 32 typedef Eigen::GpuDevice GPUDevice; 33 34 template <typename Device, typename T> 35 class SoftplusOp : public UnaryElementWiseOp<T, SoftplusOp<Device, T>> { 36 public: 37 explicit SoftplusOp(OpKernelConstruction* context) 38 : UnaryElementWiseOp<T, SoftplusOp<Device, T>>(context) { 39 WarnAboutInts(context); 40 } 41 42 void Operate(OpKernelContext* context, const Tensor& input, Tensor* output) { 43 functor::Softplus<Device, T> functor; 44 functor(context->eigen_device<Device>(), input.flat<T>(), 45 output->flat<T>()); 46 } 47 }; 48 49 template <typename Device, typename T> 50 class SoftplusGradOp 51 : public BinaryElementWiseOp<T, SoftplusGradOp<Device, T>> { 52 public: 53 explicit SoftplusGradOp(OpKernelConstruction* context) 54 : BinaryElementWiseOp<T, SoftplusGradOp<Device, T>>(context) { 55 WarnAboutInts(context); 56 } 57 58 void OperateNoTemplate(OpKernelContext* context, const Tensor& g, 59 const Tensor& a, Tensor* output); 60 61 // INPUTS: 62 // g (gradients): backpropagated gradients 63 // a (inputs): inputs that were passed to SoftplusOp() 64 // OUTPUT: 65 // gradients to backprop 66 template <int NDIMS> 67 void Operate(OpKernelContext* context, const Tensor& g, const Tensor& a, 68 Tensor* output) { 69 OperateNoTemplate(context, g, a, output); 70 } 71 }; 72 template <typename Device, typename T> 73 void SoftplusGradOp<Device, T>::OperateNoTemplate(OpKernelContext* context, 74 const Tensor& g, 75 const Tensor& a, 76 Tensor* output) { 77 OP_REQUIRES(context, a.IsSameSize(g), 78 errors::InvalidArgument("g and a must be the same size")); 79 functor::SoftplusGrad<Device, T> functor; 80 functor(context->eigen_device<Device>(), g.flat<T>(), a.flat<T>(), 81 output->flat<T>()); 82 } 83 84 #define REGISTER_KERNELS(type) \ 85 REGISTER_KERNEL_BUILDER( \ 86 Name("Softplus").Device(DEVICE_CPU).TypeConstraint<type>("T"), \ 87 SoftplusOp<CPUDevice, type>); \ 88 REGISTER_KERNEL_BUILDER( \ 89 Name("SoftplusGrad").Device(DEVICE_CPU).TypeConstraint<type>("T"), \ 90 SoftplusGradOp<CPUDevice, type>); 91 92 TF_CALL_REAL_NUMBER_TYPES(REGISTER_KERNELS); 93 #undef REGISTER_KERNELS 94 95 #if GOOGLE_CUDA 96 // Forward declarations of the functor specializations for GPU. 97 namespace functor { 98 #define DECLARE_GPU_SPEC(T) \ 99 template <> \ 100 void Softplus<GPUDevice, T>::operator()( \ 101 const GPUDevice& d, typename TTypes<T>::ConstTensor features, \ 102 typename TTypes<T>::Tensor activations); \ 103 extern template struct Softplus<GPUDevice, T>; \ 104 \ 105 template <> \ 106 void SoftplusGrad<GPUDevice, T>::operator()( \ 107 const GPUDevice& d, typename TTypes<T>::ConstTensor gradients, \ 108 typename TTypes<T>::ConstTensor features, \ 109 typename TTypes<T>::Tensor backprops); \ 110 extern template struct SoftplusGrad<GPUDevice, T>; 111 112 TF_CALL_GPU_NUMBER_TYPES(DECLARE_GPU_SPEC); 113 } // namespace functor 114 115 // Registration of the GPU implementations. 116 #define REGISTER_GPU_KERNELS(type) \ 117 REGISTER_KERNEL_BUILDER( \ 118 Name("Softplus").Device(DEVICE_GPU).TypeConstraint<type>("T"), \ 119 SoftplusOp<GPUDevice, type>); \ 120 REGISTER_KERNEL_BUILDER( \ 121 Name("SoftplusGrad").Device(DEVICE_GPU).TypeConstraint<type>("T"), \ 122 SoftplusGradOp<GPUDevice, type>); 123 124 TF_CALL_GPU_NUMBER_TYPES(REGISTER_GPU_KERNELS); 125 #undef REGISTER_GPU_KERNELS 126 127 #endif // GOOGLE_CUDA 128 129 } // namespace tensorflow 130
