I have tried to fit a model with Within-chain parallelization using Ubuntu (through WSL) and am getting an error. The model normally works if I comment on the 'threads' argument. The model also works normally on Windows 10 (normally). Here is the model:
ccCicv <-
brm(
data = py$dfClean,
family = student,
cc ~ 1,
prior = c(
prior(normal(mean_y, sd_y * 5), class = Intercept),
prior(cauchy(0, sd_y), class = sigma),
prior(exponential(one_over_twentynine), class = nu)
),
stanvars = ccVars,
iter = 200000,
warmup = 4000,
chains = 4,
cores = 4,
seed = 123456,
thin = 100,
control = list(adapt_delta = .90, max_treedepth = 15),
backend = "cmdstanr",
threads = threading(6)
)
Here is the error:
Error: Syntax error found! See the message above for more information.
7.
stop("Syntax error found! See the message above for more information.",
call. = FALSE)
6.
cmdstan_mod$format(canonicalize = list("deprecations", "braces",
"parentheses"), overwrite_file = overwrite_file, backup = FALSE)
5.
withVisible(...elt(i))
4.
utils::capture.output(cmdstan_mod$format(canonicalize = list("deprecations",
"braces", "parentheses"), overwrite_file = overwrite_file,
backup = FALSE))
3.
.canonicalize_stan_model(tmp_file, overwrite_file = FALSE)
2.
.make_stancode(bterms, data = data, prior = prior, stanvars = stanvars,
save_model = save_model, backend = backend, threads = threads,
opencl = opencl, normalize = normalize)
1.
brm(data = py$dfClean, family = student, cc ~ 1, prior = c(prior(normal(mean_y,
sd_y * 5), class = Intercept), prior(cauchy(0, sd_y), class = sigma),
prior(exponential(one_over_twentynine), class = nu)), stanvars = ccVars,
iter = 200000, warmup = 4000, chains = 4, seed = 123456, ...
Updated the Linux;
Updated all packages from CRAN;
Installed RccpParallel from git-hub (current version: 5.1.7-9001);
Re-compiled the constant locally.
I have tried to fit a model with Within-chain parallelization using Ubuntu (through WSL) and am getting an error. The model normally works if I comment on the 'threads' argument. The model also works normally on Windows 10 (normally). Here is the model:
ccCicv <- brm( data = py$dfClean, family = student, cc ~ 1, prior = c( prior(normal(mean_y, sd_y * 5), class = Intercept), prior(cauchy(0, sd_y), class = sigma), prior(exponential(one_over_twentynine), class = nu) ), stanvars = ccVars, iter = 200000, warmup = 4000, chains = 4, cores = 4, seed = 123456, thin = 100,
control = list(adapt_delta = .90, max_treedepth = 15),
backend = "cmdstanr", threads = threading(6) )
Here is the error:
Error: Syntax error found! See the message above for more information. 7. stop("Syntax error found! See the message above for more information.", call. = FALSE) 6. cmdstan_mod$format(canonicalize = list("deprecations", "braces", "parentheses"), overwrite_file = overwrite_file, backup = FALSE) 5. withVisible(...elt(i)) 4. utils::capture.output(cmdstan_mod$format(canonicalize = list("deprecations", "braces", "parentheses"), overwrite_file = overwrite_file, backup = FALSE)) 3. .canonicalize_stan_model(tmp_file, overwrite_file = FALSE) 2. .make_stancode(bterms, data = data, prior = prior, stanvars = stanvars, save_model = save_model, backend = backend, threads = threads, opencl = opencl, normalize = normalize) 1. brm(data = py$dfClean, family = student, cc ~ 1, prior = c(prior(normal(mean_y, sd_y * 5), class = Intercept), prior(cauchy(0, sd_y), class = sigma), prior(exponential(one_over_twentynine), class = nu)), stanvars = ccVars, iter = 200000, warmup = 4000, chains = 4, seed = 123456, ...
BRMS version: 2.20.4 CMDSTANR version: 0.7.1 rstan version: 2.32.6 stanheaders version: 2.32.6
What I just did:
Updated the Linux; Updated all packages from CRAN; Installed RccpParallel from git-hub (current version: 5.1.7-9001); Re-compiled the constant locally.