Can I use tune_grid without resamples?

[pathos]

Let's say I have the following code

spec_enet_tune = linear_reg(mode = 'regression', penalty = tune(), mixture = tune()) |>
      set_engine('glmnet')

recip = df_train |>
        recipe(y ~ .) |>
        step_rm(datee) |> 
        prep()

grid_pen_mix = expand_grid(penalty = seq(0,
                                         100,
                                         by = 10),
                           mixture = seq(0,
                                         1,
                                         by = 0.2))

get_glmnet_coefs <- function(x) {
  x |>
    extract_fit_engine() |>
    tidy()} # return_zeros = TRUE

parsnip_ctrl <- control_grid(extract = get_glmnet_coefs)

### CODE IN QUESTION BELOW

tune_grid(object = spec_enet_tune,
          preprocessor = recip,
          grid = grid_pen_mix,
          resamples = !?!?,
          control = parsnip_ctrl)

How would I be able to force tune_grid() ignore the resamples argument? I tried NULL, NA, and leaving it out, but it seems to require resamples. I just wanted to see what the results of tune() would be from glmnet arguments.