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

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

#include "tensorflow/c/experimental/ops/resource_variable_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"

Jeremy Meredith <******@****.***> 1652208970 -0700

        "//tensorflow/core:framework",
        "//tensorflow/core/platform:errors",
    ],
)

cc_library(
    name = "resource_variable_ops",
    srcs = [
        "resource_variable_ops.cc",
    ],
    hdrs = [
        "resource_variable_ops.h",
    ],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        "//tensorflow/c/eager:abstract_context",

from tensorflow.python.framework import dtypes
from tensorflow.python.framework import tensor_spec
from tensorflow.python.module import module
from tensorflow.python.ops import resource_variable_ops
from tensorflow.python.ops import variables
from tensorflow.python.ops import while_loop
from tensorflow.python.saved_model import saved_model


def _gen_uninitialized_variable(base_dir):

// TensorHandle associated with the variable. This is equivalent to creating an
// unitialized TF2 tf.Variable.
// https://github.com/tensorflow/tensorflow/blob/516608035f85cec8b126712b0ff8407220206b22/tensorflow/python/ops/resource_variable_ops.py#L1867-L1872
Status CreateUninitializedResourceVariable(ImmediateExecutionContext* ctx,
                                           DataType dtype, TensorShape shape,

        "functional_ops",
    ],
    pkg = "//tensorflow/core",
    visibility = ["//tensorflow:internal"],
)

tf_gen_op_wrappers_cc(
    name = "resource_variable_ops",
    include_internal_ops = 1,
    op_lib_names = [
        "resource_variable_ops",
    ],
    pkg = "//tensorflow/core",
)

tf_gen_op_wrappers_cc(
    name = "tpu_ops",
    include_internal_ops = 1,
    op_lib_names = [

#include "tensorflow/cc/framework/ops.h"
#include "tensorflow/cc/framework/testutil.h"
#include "tensorflow/cc/gradients/grad_testutil.h"
#include "tensorflow/cc/ops/array_ops.h"
#include "tensorflow/cc/ops/resource_variable_ops.h"
#include "tensorflow/cc/ops/standard_ops.h"
#include "tensorflow/core/framework/tensor_testutil.h"
#include "tensorflow/core/lib/core/status_test_util.h"

namespace tensorflow {
namespace ops {
namespace {

#include "tensorflow/cc/framework/scope.h"
#include "tensorflow/cc/ops/array_ops.h"
#include "tensorflow/cc/ops/control_flow_ops_internal.h"
#include "tensorflow/cc/ops/math_ops.h"
#include "tensorflow/cc/ops/resource_variable_ops.h"
#include "tensorflow/cc/ops/standard_ops.h"
#include "tensorflow/compiler/jit/test_util.h"
#include "tensorflow/core/framework/op.h"
#include "tensorflow/core/framework/partial_tensor_shape.h"

#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/graph_function.h"
#include "tensorflow/c/eager/unified_api_testutil.h"
#include "tensorflow/c/experimental/ops/resource_variable_ops.h"
#include "tensorflow/c/tf_status_helper.h"
#include "tensorflow/cc/experimental/libtf/function.h"
#include "tensorflow/cc/experimental/libtf/object.h"
#include "tensorflow/cc/experimental/libtf/value.h"

#include "tensorflow/core/kernels/fifo_queue.h"
#include "tensorflow/core/kernels/function_ops.h"
#include "tensorflow/core/kernels/identity_op.h"
#include "tensorflow/core/kernels/resource_variable_ops.h"
#include "tensorflow/core/kernels/shape_ops.h"
#include "tensorflow/core/kernels/variable_ops.h"

namespace tensorflow {

// Dummy OpKernel, used for kernels assigned to an XLA device that should be