text: /* Copyright 2015 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.
  ==============================================================================*/
  
  #ifndef TENSORFLOW_BINCOUNT_OP_H_
  #define TENSORFLOW_BINCOUNT_OP_H_
  
  #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
  #include "tensorflow/core/framework/op_kernel.h"
  #include "tensorflow/core/framework/tensor_types.h"
  #include "tensorflow/core/framework/types.h"
  #include "tensorflow/core/lib/core/errors.h"
  
  namespace tensorflow {
  
  namespace functor {
  
  template <typename Device, typename T>
  struct BincountFunctor {
    static Status Compute(OpKernelContext* context,
                          const typename TTypes<int32, 1>::ConstTensor& arr,
                          const typename TTypes<T, 1>::ConstTensor& weights,
                          typename TTypes<T, 1>::Tensor& output);
  };
  
  }  // end namespace functor
  
  }  // end namespace tensorflow
  
  #endif  // TENSORFLOW_BINCOUNT_OP_H_
  