#ifndef TENSORFLOW_CC_SAVED_MODEL_EXPERIMENTAL_PUBLIC_SIGNATURE_DEF_FUNCTION_H_
#define TENSORFLOW_CC_SAVED_MODEL_EXPERIMENTAL_PUBLIC_SIGNATURE_DEF_FUNCTION_H_

#include <vector>

#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/experimental/saved_model/public/signature_def_function.h"
#include "tensorflow/cc/experimental/base/public/status.h"
#include "tensorflow/cc/saved_model/experimental/public/signature_def_function_metadata.h"

#include <optional>
#include <string>
#include <utility>
#include <vector>

#include "absl/types/optional.h"
#include "absl/types/span.h"
#include "absl/types/variant.h"
#include "tensorflow/c/c_api.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/eager/tfe_op_internal.h"
#include "tensorflow/c/safe_ptr.h"
#include "tensorflow/core/framework/cancellation.h"

			rbacv1helpers.NewRule("approve").Groups(certificatesGroup).Resources("signers").Names(capi.KubeAPIServerClientKubeletSignerName).RuleOrDie(),
			rbacv1helpers.NewRule("sign").Groups(certificatesGroup).Resources("signers").Names(
				capi.LegacyUnknownSignerName,
				capi.KubeAPIServerClientSignerName,
				capi.KubeAPIServerClientKubeletSignerName,
				capi.KubeletServingSignerName,
			).RuleOrDie(),

==============================================================================*/

#include "tensorflow/c/eager/parallel_device/parallel_device_lib.h"

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_experimental.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/eager/parallel_device/parallel_device_testlib.h"
#include "tensorflow/c/eager/tfe_context_internal.h"

#include "tensorflow/c/eager/parallel_device/parallel_device_testlib.h"

#include <array>

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_experimental.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/core/platform/test.h"

// NOTE(allenl): These tests currently go through TFE_Execute and so are

namespace tensorflow {
class EagerExecutor;
class EagerContext;
class CustomDevice;
class CustomDeviceOpHandler;
class Device;

// LINT.IfChange
// Note: Keep in sync with exported copy of enum in eager/c_api.h.
enum ContextDevicePlacementPolicy {
  // Running operations with input tensors on the wrong device will fail.
  DEVICE_PLACEMENT_EXPLICIT = 0,
  // Copy the tensor to the right device but log a warning.

#define TENSORFLOW_CC_EXPERIMENTAL_LIBTF_RUNTIME_RUNTIME_H_

#include <sys/types.h>

#include "absl/strings/str_cat.h"
#include "absl/types/span.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/tfe_context_internal.h"
#include "tensorflow/c/tf_status_helper.h"
#include "tensorflow/c/tf_status_internal.h"
#include "tensorflow/cc/experimental/libtf/object.h"

Já é possível criar aplicativos de produção com **FastAPI** (e provavelmente você já faz isso há algum tempo), apenas precisando ter certeza de usar uma versão que funcione corretamente com o resto do seu código.

## Fixe a sua versão de `fastapi`

		if getForAction.GetName() == "*" {
			metrics := cmapi.MetricValueList{}

			// multiple objects
			assert.Equal(t, "pods", getForAction.GetResource().Resource, "the type of object that we requested multiple metrics for should have been pods")

			for i, level := range tc.metric.levels {
				podMetric := cmapi.MetricValue{
					DescribedObject: v1.ObjectReference{
						Kind:      "Pod",

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

#ifndef TENSORFLOW_C_C_TEST_UTIL_H_
#define TENSORFLOW_C_C_TEST_UTIL_H_

#include "tensorflow/c/c_api.h"

#include <vector>
#include "tensorflow/core/framework/attr_value.pb.h"
#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/framework/graph.pb.h"