- family-names: Mané
    given-names: Dan
  - family-names: Schuster
    given-names: Mike
  - family-names: Monga
    given-names: Rajat
  - family-names: Moore
    given-names: Sherry
  - family-names: Murray
    given-names: Derek
  - family-names: Olah
    given-names: Chris
  - family-names: Shlens
    given-names: Jonathon
  - family-names: Steiner
    given-names: Benoit
  - family-names: Sutskever

limitations under the License.
==============================================================================*/

// This file is MACHINE GENERATED! Do not edit.

#ifndef TENSORFLOW_C_EXPERIMENTAL_OPS_ARRAY_OPS_H_
#define TENSORFLOW_C_EXPERIMENTAL_OPS_ARRAY_OPS_H_

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

namespace tensorflow {
namespace ops {

#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:

limitations under the License.
==============================================================================*/

// This file is MACHINE GENERATED! Do not edit.

#include "tensorflow/c/experimental/ops/array_ops.h"

#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/tracing_utils.h"
#include "tensorflow/core/framework/types.h"

#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"

typedef jobject jclass;
typedef jobject jthrowable;
typedef jobject jstring;
typedef jobject jarray;
typedef jarray jbooleanArray;
typedef jarray jbyteArray;
typedef jarray jcharArray;
typedef jarray jshortArray;
typedef jarray jintArray;
typedef jarray jlongArray;
typedef jarray jfloatArray;
typedef jarray jdoubleArray;
typedef jarray jobjectArray;

typedef jobject jweak;

        "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