#ifndef TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_ARRAY_GRAD_H_
#define TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_ARRAY_GRAD_H_

#include "tensorflow/c/eager/gradients.h"

namespace tensorflow {
namespace gradients {
GradientFunction* IdentityNRegisterer(const ForwardOperation& op);
}  // namespace gradients
}  // namespace tensorflow

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/c/experimental/gradients/array_grad.h"

#include "tensorflow/c/eager/abstract_context.h"

namespace tensorflow {
namespace gradients {
namespace {
class IdentityNGradientFunction : public GradientFunction {
 public:

#include "tensorflow/c/experimental/gradients/array_grad.h"

#include "tensorflow/c/eager/c_api_test_util.h"
#include "tensorflow/c/eager/c_api_unified_experimental_internal.h"
#include "tensorflow/c/eager/unified_api_testutil.h"
#include "tensorflow/c/experimental/gradients/grad_test_helper.h"
#include "tensorflow/c/experimental/gradients/tape/tape_context.h"
#include "tensorflow/c/experimental/ops/array_ops.h"
#include "tensorflow/c/tf_status_helper.h"

        "toArray(sameSizeE[]) should return the given array", array, collection.toArray(array));
    expectArrayContentsInOrder(getOrderedElements(), array);
  }

  public void testToArray_rightSizedArrayOfObject() {
    Object[] array = new Object[getNumElements()];
    assertSame(
        "toArray(sameSizeObject[]) should return the given array",
        array,
        collection.toArray(array));

        "toArray(sameSizeE[]) should return the given array", array, collection.toArray(array));
    expectArrayContentsInOrder(getOrderedElements(), array);
  }

  public void testToArray_rightSizedArrayOfObject() {
    Object[] array = new Object[getNumElements()];
    assertSame(
        "toArray(sameSizeObject[]) should return the given array",
        array,
        collection.toArray(array));

      if (array[i] < min) {
        min = array[i];
      }
    }
    return min;
  }

  /**
   * Returns the greatest value present in {@code array}.
   *
   * @param array a <i>nonempty</i> array of {@code byte} values
   * @return the value present in {@code array} that is greater than or equal to every other value
   *     in the array

  private static final int[] exponents = new int[ARRAY_SIZE];
  private static final int[] factorialArguments = new int[ARRAY_SIZE];
  private static final int[][] binomialArguments = new int[ARRAY_SIZE][2];
  private static final long[] positive = new long[ARRAY_SIZE];
  private static final long[] nonnegative = new long[ARRAY_SIZE];
  private static final long[] longs = new long[ARRAY_SIZE];

  @BeforeExperiment
  void setUp() {

  private final int[] factorials = new int[ARRAY_SIZE];
  private final int[][] binomials = new int[ARRAY_SIZE][2];
  private final int[][] nonnegInt = new int[ARRAY_SIZE][2];
  private final long[][] nonnegLong = new long[ARRAY_SIZE][2];
  private final int[][] intsToAdd = new int[ARRAY_SIZE][2];
  private final int[][] intsToMul = new int[ARRAY_SIZE][2];
  private final long[][] longsToAdd = new long[ARRAY_SIZE][2];

public class UnsignedLongsBenchmark {
  private static final int ARRAY_SIZE = 0x10000;
  private static final int ARRAY_MASK = 0x0ffff;
  private static final Random RANDOM_SOURCE = new Random(314159265358979L);
  private static final long[] longs = new long[ARRAY_SIZE];
  private static final long[] divisors = new long[ARRAY_SIZE];
  private static final String[] decimalStrings = new String[ARRAY_SIZE];

  }

  /**
   * @return an array of the proper size with {@code null} as the key of the middle element.
   */
  protected Entry<K, V>[] createArrayWithNullKey() {
    Entry<K, V>[] array = createSamplesArray();
    int nullKeyLocation = getNullLocation();
    Entry<K, V> oldEntry = array[nullKeyLocation];
    array[nullKeyLocation] = Helpers.mapEntry(null, oldEntry.getValue());
    return array;
  }

  /**