/* Copyright 2016 The TensorFlow Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ // See docs in ../ops/array_ops.cc #ifndef TENSORFLOW_CORE_KERNELS_ONE_HOT_OP_H_ #define TENSORFLOW_CORE_KERNELS_ONE_HOT_OP_H_ // Generator definition for OneHotOp, must be compilable by nvcc. #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" #include "tensorflow/core/framework/tensor_types.h" #include "tensorflow/core/platform/types.h" namespace tensorflow { namespace generator { template class OneGenerator { public: EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE OneGenerator(const typename TTypes::ConstMatrix& indices, const typename TTypes::ConstScalar& on_value, const typename TTypes::ConstScalar& off_value) : indices_(indices), on_value_(on_value), off_value_(off_value) {} EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE T operator()(const Eigen::array& pre_depth_suff) const { return (indices_(pre_depth_suff[0], pre_depth_suff[2]) == pre_depth_suff[1]) ? on_value_() : off_value_(); } private: const typename TTypes::ConstMatrix indices_; const typename TTypes::ConstScalar on_value_; const typename TTypes::ConstScalar off_value_; }; } // namespace generator namespace functor { template struct OneHot { EIGEN_ALWAYS_INLINE static void Compute( const Device& d, const typename TTypes::ConstMatrix& indices, const typename TTypes::ConstScalar& on_value, const typename TTypes::ConstScalar& off_value, typename TTypes::Tensor* output) { generator::OneGenerator generator(indices, on_value, off_value); output->device(d) = output->generate(generator); } }; } // namespace functor } // namespace tensorflow #endif // TENSORFLOW_CORE_KERNELS_ONE_HOT_OP_H_