See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#include "tensorflow/cc/ops/while_loop.h"

#include "tensorflow/cc/framework/scope_internal.h"
#include "tensorflow/cc/ops/control_flow_ops_internal.h"
#include "tensorflow/cc/ops/standard_ops.h"
#include "tensorflow/core/common_runtime/shape_refiner.h"

TensorFlower Gardener <******@****.***> 1600935898 -0700

  class Module(module.Module):
    """A module with a while loop."""

    @def_function.function(
        input_signature=[tensor_spec.TensorSpec((), dtypes.float32)])
    def compute(self, value):
      acc, _ = while_loop.while_loop(
          cond=lambda acc, i: i > 0,
          body=lambda acc, i: (acc + i, i - 1),
          loop_vars=(constant_op.constant(0.0), value))
      return acc

  to_save = Module()
  saved_model.save(

        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core:testlib",
    ],
)

cc_library_with_android_deps(
    name = "while_loop",
    srcs = ["ops/while_loop.cc"],
    hdrs = ["ops/while_loop.h"],
    android_deps = [
        "//tensorflow/core:portable_tensorflow_lib",
    ],
    common_deps = [
        ":cc_ops",
        ":cc_ops_internal",
        ":ops",

      {"D", {PartialTensorShape({2, 3})}},
  };
  TF_EXPECT_OK(ShapeAnnotationsMatch(*graph, shape_info, expected));
}

TEST(ShapeInferenceTest, WhileLoop) {
  // Graph:
  // x = array_ops.placeholder(dtypes.int32)
  // y = control_flow_ops.while_loop(lambda i: i < 10, lambda i: i + 1, [x])
  Graph graph(OpRegistry::Global());
  {
    Scope scope = Scope::NewRootScope().ExitOnError();

// This method is used to add a new input edge to 'dst', which must be a While
// op. The While op's "T" attribute must have already been updated to include
// the new edge. This is used to construct tf.while_loop gradients.
void AddWhileInputHack(TF_Graph* graph, TF_Output new_src, TF_Operation* dst,
                       TF_Status* status);

}  // namespace tensorflow

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#include "tensorflow/cc/ops/while_loop.h"
#include "tensorflow/cc/client/client_session.h"
#include "tensorflow/cc/ops/standard_ops.h"
#include "tensorflow/core/framework/tensor_testutil.h"
#include "tensorflow/core/graph/while_context.h"

#include "tensorflow/cc/client/client_session.h"
#include "tensorflow/cc/framework/gradients.h"
#include "tensorflow/cc/framework/testutil.h"
#include "tensorflow/cc/ops/standard_ops.h"
#include "tensorflow/cc/ops/while_loop.h"
#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/framework/tensor_testutil.h"
#include "tensorflow/core/lib/core/status_test_util.h"
#include "tensorflow/core/platform/test.h"

#include "tensorflow/cc/framework/gradients.h"
#include "tensorflow/cc/framework/scope_internal.h"
#include "tensorflow/cc/ops/control_flow_ops_internal.h"
#include "tensorflow/cc/ops/standard_ops.h"
#include "tensorflow/cc/ops/while_loop.h"

namespace tensorflow {
namespace {

using ops::BodyGraphBuilderFn;
using ops::BuildWhileLoop;
using ops::CondGraphBuilderFn;

Output ToOutput(OutputTensor output_tensor) {

from tensorflow.python.ops import nn_ops
from tensorflow.python.ops import random_ops
from tensorflow.python.ops import string_ops
from tensorflow.python.ops import variables
from tensorflow.python.ops import while_loop as while_loop_ops
from tensorflow.python.ops.ragged import ragged_string_ops
from tensorflow.python.platform import test
from tensorflow.python.platform import tf_logging as logging