namespace generator {

// An attribute for an Op, such as an input/output type or for passing options.
//
// Essentially, this represents an OpDef::AttrDef and its context within the Op.
class AttrSpec {
 public:
  AttrSpec() = default;
  AttrSpec(const AttrSpec& other) = default;
  static AttrSpec Create(const OpDef::AttrDef& attr_def);

  const string& name() const { return name_; }
  const string& description() const { return description_; }

#include "tensorflow/core/platform/types.h"

namespace tensorflow {
namespace generator {

// An Op.
//
// Essentially, this represents an OpDef and any necessary context (e.g ApiDef).
class OpSpec {
 public:
  static OpSpec Create(const OpDef& op_def, const ApiDef& api_def);

  const string& name() const { return name_; }
  const string& summary() const { return summary_; }

    const std::vector<std::string> extra_tf_opdefs) {
  for (const auto& tf_opdefs_string : extra_tf_opdefs) {
    OpDef opdef;
    // NOLINTNEXTLINE: Use tsl::protobuf to be compatible with OSS.
    if (!tsl::protobuf::TextFormat::ParseFromString(tf_opdefs_string, &opdef)) {
      return errors::InvalidArgument("fail to parse extra OpDef");
    }
    // Make sure the op is not already registered. If registered continue.

      // Calculate operand and result segment sizes using the OpDef.
      tensorflow::NameRangeMap input_ranges, output_ranges;
      // This will fail only if the OpDef is syntactically invalid.
      if (!NameRangesForNode(node_def, *op_def, &input_ranges, &output_ranges)
               .ok()) {
        tf_op->emitError("malformed opdef");
        return failure();
      }

    tensorflow::OpRegistry::Global()->Register(
        [opdef](
            tensorflow::OpRegistrationData* op_reg_data) -> tensorflow::Status {
          *op_reg_data = tensorflow::OpRegistrationData(opdef);
          return absl::OkStatus();
        });

    // Register the corresponding fake op kernel.
    const char* node_name = opdef.name().c_str();
    const char* op_name = opdef.name().c_str();
    const char* device_name = "CPU";

  return PartialTensorShape(dims);
}

TEST(BitcastOpTest, TestShapeInference_LargerShape) {
  const OpRegistrationData* reg;
  TF_CHECK_OK(OpRegistry::Global()->LookUp("Bitcast", &reg));
  OpDef op_def = reg->op_def;
  NodeDef def;
  TF_CHECK_OK(NodeDefBuilder("dummy", &op_def)
                  .Attr("type", DT_INT8)
                  .Attr("T", DT_INT64)
                  .Input(FakeInput(DT_INT64))

                                                  const OpDef& op_def) {
    if (!GetSharedNameGenerationCompatibleOps().contains(op_def.name())) {
      // If this op is not in the allowlist, then it is likely a custom op.
      // Currently for these ops, we are relying on its "use_node_name_sharing"
      // to decide whether it is valid to generate shared_names. If the OpDef

## Versões disponíveis

Você pode ver as versões disponíveis (por exemplo, para verificar qual é a versão atual) em [Release Notes](../release-notes.md){.internal-link target=\_blank}.

## Sobre versões

Seguindo as convenções de controle de versão semântica, qualquer versão abaixo de `1.0.0` pode adicionar mudanças significativas.

	return pmap
}

// deleteIP returns true if the pod and ip are really deleted.
func (pc *PodCache) deleteIP(ip string, podKey types.NamespacedName) bool {
	pc.Lock()
	defer pc.Unlock()
	if pc.podsByIP[ip].Contains(podKey) {
		sets.DeleteCleanupLast(pc.podsByIP, ip, podKey)
		delete(pc.IPByPods, podKey)
		return true
	}
	return false
}

func (pc *PodCache) addPod(pod *v1.Pod, ip string, key types.NamespacedName) {

## Adicionando mais validações

Você também pode incluir um parâmetro `min_length`:

```Python hl_lines="10"
{!../../../docs_src/query_params_str_validations/tutorial003.py!}
```

## Adicionando expressões regulares