// immediately one last time before we exit this method.
	xioutil.SafeClose(saverQuitCh)

	// Notify expire jobs final status to the configured endpoint
	buf, _ := json.Marshal(ri)
	if err := r.Notify(context.Background(), bytes.NewReader(buf)); err != nil {
		batchLogIf(context.Background(), fmt.Errorf("unable to notify %v", err))
	}

	return nil
}

//msgp:ignore batchExpireJobError

	c := time.After(after)
	cc := make(chan struct{})
	go func() {
		select {
		case <-cc:
			return
		case <-c:
			buf := make([]byte, 1<<20)
			stacklen := runtime.Stack(buf, true)
			fmt.Printf("=== Timeout, assuming deadlock ===\n*** goroutine dump...\n%s\n*** end\n", string(buf[:stacklen]))
			os.Exit(2)
		}
	}()
	return func() {
		close(cc)
	}
}

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

    // fdef -> func_
    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) {

// 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

  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

	// 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{})
}

			ident[name] = name
		}
		fld[n] = &ast.Field{Names: []*ast.Ident{c.Ident(ident[name])}, Type: tgo}
		sizes = sizes[0 : n+1]
		sizes[n] = size
		off += size
		buf.WriteString(t.C.String())
		buf.WriteString(" ")
		buf.WriteString(name)
		buf.WriteString("; ")
		if talign > align {
			align = talign
		}
	}
	if off < dt.ByteSize {
		fld, sizes = c.pad(fld, sizes, dt.ByteSize-off)

		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();