EVOLUTION-MANAGER

Edit File: where_op.h

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,
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==============================================================================*/

#ifndef TENSORFLOW_CORE_KERNELS_WHERE_OP_H_
#define TENSORFLOW_CORE_KERNELS_WHERE_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/platform/macros.h"
#include "tensorflow/core/platform/types.h"

namespace tensorflow {

#define TF_CALL_WHERE_GPU_TYPES(m) \
  TF_CALL_int8(m);                 \
  TF_CALL_uint8(m);                \
  TF_CALL_int64(m);                \
  TF_CALL_float(m);                \
  TF_CALL_double(m);               \
  TF_CALL_complex64(m);            \
  TF_CALL_complex128(m);           \
  TF_CALL_bool(m);

namespace functor {

template <typename Device, typename T, typename TIndex>
struct NumTrue {
  EIGEN_ALWAYS_INLINE static Status Compute(
      OpKernelContext* ctx, const Device& d,
      typename TTypes<T>::ConstFlat input,
      typename TTypes<TIndex>::UnalignedScalar num_true);
};

template <typename Device, int NDIM, typename T, typename TIndex>
struct Where {
  // Copies indices of true values in input into output.  The pointer
  // found_true should sit on the host.  Compute should copy the
  // number of true elements found into it.  At the end, if
  //   *found_true != output.dimension(0),
  // then the input may have changed between the initial counting of
  // the true values and the call to Where.
  EIGEN_ALWAYS_INLINE static Status Compute(
      OpKernelContext* ctx, const Device& d,
      typename TTypes<T, NDIM>::ConstTensor input,
      typename TTypes<int64>::Matrix output, TIndex* found_true);
};

}  // namespace functor

}  // namespace tensorflow

#endif  // TENSORFLOW_CORE_KERNELS_WHERE_OP_H_