EVOLUTION-MANAGER

Edit File: array3d.h

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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Unless required by applicable law or agreed to in writing, software
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==============================================================================*/

#ifndef TENSORFLOW_COMPILER_XLA_ARRAY3D_H_
#define TENSORFLOW_COMPILER_XLA_ARRAY3D_H_

#include <algorithm>
#include <functional>
#include <initializer_list>
#include <iterator>
#include <memory>
#include <numeric>
#include <random>

#include "tensorflow/compiler/xla/array.h"
#include "tensorflow/compiler/xla/types.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/macros.h"
#include "tensorflow/core/platform/types.h"

namespace xla {

// Simple 3D array structure.
template <typename T>
class Array3D : public Array<T> {
 public:
  Array3D() : Array<T>(std::vector<int64>{0, 0, 0}) {}

// Creates an array of dimensions n1 x n2 x n3, uninitialized values.
  Array3D(const int64 n1, const int64 n2, const int64 n3)
      : Array<T>(std::vector<int64>{n1, n2, n3}) {}

// Creates an array of dimensions n1 x n2 x n3, initialized to value.
  Array3D(const int64 n1, const int64 n2, const int64 n3, const T value)
      : Array<T>(std::vector<int64>{n1, n2, n3}, value) {}

// Creates an array from the given nested initializer list. The outer
  // initializer list is the first dimension, and so on.
  //
  // For example {{{1, 2}, {3, 4}, {5, 6}, {7, 8}},
  //              {{9, 10}, {11, 12}, {13, 14}, {15, 16}},
  //              {{17, 18}, {19, 20}, {21, 22}, {23, 24}}}
  // results in an array with n1=3, n2=4, n3=2.
  Array3D(std::initializer_list<std::initializer_list<std::initializer_list<T>>>
              values)
      : Array<T>(values) {}

// Creates an array of a floating-point type (half, bfloat16, float,
  // or double) from the given nested initializer list of float values.
  template <typename T2, typename = typename std::enable_if<
                             (std::is_same<T, Eigen::half>::value ||
                              std::is_same<T, bfloat16>::value ||
                              std::is_same<T, float>::value ||
                              std::is_same<T, double>::value) &&
                             std::is_same<T2, float>::value>::type>
  Array3D(
      std::initializer_list<std::initializer_list<std::initializer_list<T2>>>
          values)
      : Array<T>(values) {}

int64 n1() const { return this->dim(0); }
  int64 n2() const { return this->dim(1); }
  int64 n3() const { return this->dim(2); }
};

}  // namespace xla

#endif  // TENSORFLOW_COMPILER_XLA_ARRAY3D_H_