tensorflow::FunctionDef fdef;
    ASSERT_TRUE(GetFunctionDef(func_, &fdef));
    TF_DeleteFunction(func_);

    // fdef -> func_
    std::string buf;
    ASSERT_TRUE(fdef.SerializeToString(&buf));
    func_ = TF_FunctionImportFunctionDef(buf.data(), buf.size(), s_);
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  }

  void GetAttr(const char* attr_name, AttrValue* out_attr) {

  private final State state;

  /** ByteArrayOutputStream that exposes its internals. */
  private static final class MemoryOutput extends ByteArrayOutputStream {
    byte[] getBuffer() {
      return buf;
    }

    int getCount() {
      return count;
    }
  }

  /** Returns the file holding the data (possibly null). */
  @VisibleForTesting
  @Nullable File getFile() {
    return state.getFile();

	// Initialize the header.
	binary.LittleEndian.PutUint16(data[0:2], rebalMetaFmt)
	binary.LittleEndian.PutUint16(data[2:4], rebalMetaVer)

	buf, err := r.MarshalMsg(data)
	if err != nil {
		return err
	}

	return saveConfigWithOpts(ctx, store, rebalMetaName, buf, opts)
}

func (r *rebalanceMeta) save(ctx context.Context, store objectIO) error {
	return r.saveWithOpts(ctx, store, ObjectOptions{})
}

  if (use_tfrt) {
    TF_Buffer* buf = TF_NewBuffer();
    TFE_GetExecutedOpNames(ctx, buf, status);
    ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
#ifndef NDEBUG
    if (enable_grappler)
      EXPECT_NE(strstr(static_cast<const char*>(buf->data), "tf.Mul"), nullptr);
    else
      EXPECT_NE(strstr(static_cast<const char*>(buf->data), "tf.Add"), nullptr);
#endif

// If async mode is enabled, this call blocks till all currently pending ops are
// done.
TF_CAPI_EXPORT extern void TFE_ContextExportRunMetadata(TFE_Context* ctx,
                                                        TF_Buffer* buf,
                                                        TF_Status* status);

// Some TF ops need a step container to be set to limit the lifetime of some

	var ver struct {
		Version int `json:"version"`
	}
	err = json.Unmarshal(buf, &ver)
	if err != nil {
		return err
	}
	if ver.Version != srStateFormatVersion1 {
		return fmt.Errorf("Unexpected ClusterRepl state version: %d", ver.Version)
	}

	var sdata srStateData
	err = json.Unmarshal(buf, &sdata)
	if err != nil {
		return err
	}

	c.Lock()
	defer c.Unlock()

		Usage:  "set global memory limit per server via GOMEMLIMIT",
		Hidden: true,
		EnvVar: "MINIO_MEMLIMIT",
	},
	cli.IntFlag{
		Name:   "send-buf-size",
		Value:  4 * humanize.MiByte,
		EnvVar: "MINIO_SEND_BUF_SIZE",
		Hidden: true,
	},
	cli.IntFlag{
		Name:   "recv-buf-size",
		Value:  4 * humanize.MiByte,
		EnvVar: "MINIO_RECV_BUF_SIZE",
		Hidden: true,
	},
	cli.StringFlag{
		Name:   "log-dir",

              sink.writeByte('x'.code)
            }
          } else {
            val buf = ByteArray(if (writeKind == WriteKind.SMALL_BUFFERS) 256 else 64 * 1024)
            Arrays.fill(buf, 'x'.code.toByte())
            var i = 0
            while (i < n) {
              sink.write(buf, 0, Math.min(buf.size, n - i))
              i += buf.size
            }
          }
        }
      }
    val response =

  EXPECT_EQ(TF_DATA_LOSS, static_cast<TF_Code>(tensorflow::error::DATA_LOSS));
}

TEST(CAPI, GetAllOpList) {
  TF_Buffer* buf = TF_GetAllOpList();
  tensorflow::OpList op_list;
  EXPECT_TRUE(op_list.ParseFromArray(buf->data, buf->length));
  EXPECT_GT(op_list.op_size(), 0);
  TF_DeleteBuffer(buf);
}

TEST(CAPI, SetShape) {
  TF_Status* s = TF_NewStatus();
  TF_Graph* graph = TF_NewGraph();

	binary.LittleEndian.PutUint16(data[2:4], poolMetaVersion)

	buf, err := p.MarshalMsg(data)
	if err != nil {
		return err
	}

	// Saves on all pools to make sure decommissioning of first pool is allowed.
	for i, eset := range pools {
		if err = saveConfig(ctx, eset, poolMetaName, buf); err != nil {
			if !errors.Is(err, context.Canceled) {