Package: BKTR
Check: whether package can be installed
New result: ERROR
  Installation failed.

Package: brulee
Check: whether the package can be loaded with stated dependencies
New result: WARNING
  
   *** caught bus error ***
  address 0x7f45393f27f0, cause 'non-existent physical address'
  
  Traceback:
   1: cpp_lantern_init(file.path(torch_install_path(), "lib"))
   2: lantern_start()
   3: doTryCatch(return(expr), name, parentenv, handler)
   4: tryCatchOne(expr, names, parentenv, handlers[[1L]])
   5: tryCatchList(expr, classes, parentenv, handlers)
   6: tryCatch({    lantern_start()    cpp_set_lantern_allocator(getOption("torch.threshold_call_gc",         4000L))    cpp_set_cuda_allocator_allocator_thresholds(getOption("torch.cuda_allocator_reserved_rate",         0.2), getOption("torch.cuda_allocator_allocated_rate",         0.8), getOption("torch.cuda_allocator_allocated_reserved_rate",         0.8))    register_lambda_function_deleter()    .generator_null <<- torch_generator()    .generator_null$set_current_seed(seed = sample(1e+05, 1))    .compilation_unit <<- cpp_jit_compilation_unit()}, error = function(e) {    msg <- if (is.character(e$message))         e$message    else "Unknown error."    cli::cli_warn(c(i = "torch failed to start, restart your R session to try again.",         i = "You might need to reinstall torch using {.fn install_torch}",         x = msg), parent = e)    FALSE})
   7: fun(libname, pkgname)
   8: doTryCatch(return(expr), name, parentenv, handler)
   9: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  10: tryCatchList(expr, classes, parentenv, handlers)
  11: tryCatch(fun(libname, pkgname), error = identity)
  12: runHook(".onLoad", env, package.lib, package)
  13: loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]])
  14: namespaceImport(ns, loadNamespace(i, c(lib.loc, .libPaths()),     versionCheck = vI[[i]]), from = package)
  15: loadNamespace(package, lib.loc)
  16: doTryCatch(return(expr), name, parentenv, handler)
  17: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  18: tryCatchList(expr, classes, parentenv, handlers)
  19: tryCatch({    ns <- loadNamespace(package, lib.loc)    env <- attachNamespace(ns, pos = pos, deps, exclude, include.only)}, error = function(e) {    P <- if (!is.null(cc <- conditionCall(e)))         paste(" in", deparse(cc)[1L])    else ""    msg <- gettextf("package or namespace load failed for %s%s:\n %s",         sQuote(package), P, conditionMessage(e))    if (logical.return && !quietly)         message(paste("Error:", msg), domain = NA)    else stop(msg, call. = FALSE, domain = NA)})
  20: library(brulee)
  An irrecoverable exception occurred. R is aborting now ...
  Bus error
  
  It looks like this package (or one of its dependent packages) has an
  unstated dependence on a standard package.  All dependencies must be
  declared in DESCRIPTION.
  See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
  manual.

Package: cito
Check: whether the package can be loaded with stated dependencies
New result: WARNING
  
   *** caught bus error ***
  address 0x7f3869a86990, cause 'non-existent physical address'
  
  Traceback:
   1: cpp_lantern_init(file.path(torch_install_path(), "lib"))
   2: lantern_start()
   3: doTryCatch(return(expr), name, parentenv, handler)
   4: tryCatchOne(expr, names, parentenv, handlers[[1L]])
   5: tryCatchList(expr, classes, parentenv, handlers)
   6: tryCatch({    lantern_start()    cpp_set_lantern_allocator(getOption("torch.threshold_call_gc",         4000L))    cpp_set_cuda_allocator_allocator_thresholds(getOption("torch.cuda_allocator_reserved_rate",         0.2), getOption("torch.cuda_allocator_allocated_rate",         0.8), getOption("torch.cuda_allocator_allocated_reserved_rate",         0.8))    register_lambda_function_deleter()    .generator_null <<- torch_generator()    .generator_null$set_current_seed(seed = sample(1e+05, 1))    .compilation_unit <<- cpp_jit_compilation_unit()}, error = function(e) {    msg <- if (is.character(e$message))         e$message    else "Unknown error."    cli::cli_warn(c(i = "torch failed to start, restart your R session to try again.",         i = "You might need to reinstall torch using {.fn install_torch}",         x = msg), parent = e)    FALSE})
   7: fun(libname, pkgname)
   8: doTryCatch(return(expr), name, parentenv, handler)
   9: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  10: tryCatchList(expr, classes, parentenv, handlers)
  11: tryCatch(fun(libname, pkgname), error = identity)
  12: runHook(".onLoad", env, package.lib, package)
  13: loadNamespace(x)
  14: fun(libname, pkgname)
  15: doTryCatch(return(expr), name, parentenv, handler)
  16: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  17: tryCatchList(expr, classes, parentenv, handlers)
  18: tryCatch(fun(libname, pkgname), error = identity)
  19: runHook(".onAttach", ns, dirname(nspath), nsname)
  20: attachNamespace(ns, pos = pos, deps, exclude, include.only)
  21: doTryCatch(return(expr), name, parentenv, handler)
  22: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  23: tryCatchList(expr, classes, parentenv, handlers)
  24: tryCatch({    ns <- loadNamespace(package, lib.loc)    env <- attachNamespace(ns, pos = pos, deps, exclude, include.only)}, error = function(e) {    P <- if (!is.null(cc <- conditionCall(e)))         paste(" in", deparse(cc)[1L])    else ""    msg <- gettextf("package or namespace load failed for %s%s:\n %s",         sQuote(package), P, conditionMessage(e))    if (logical.return && !quietly)         message(paste("Error:", msg), domain = NA)    else stop(msg, call. = FALSE, domain = NA)})
  25: library(cito)
  An irrecoverable exception occurred. R is aborting now ...
  Bus error
  
  It looks like this package (or one of its dependent packages) has an
  unstated dependence on a standard package.  All dependencies must be
  declared in DESCRIPTION.
  See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
  manual.

Package: crumble
Check: dependencies in R code
New result: NOTE
  
   *** caught segfault ***
  address 0x2d190, cause 'memory not mapped'
  
  Traceback:
   1: cpp_torch_generator()
   2: methods$initialize(NULL, NULL, ...)
   3: Generator$new()
   4: torch_generator()
   5: doTryCatch(return(expr), name, parentenv, handler)
   6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
   7: tryCatchList(expr, classes, parentenv, handlers)
   8: tryCatch({    lantern_start()    cpp_set_lantern_allocator(getOption("torch.threshold_call_gc",         4000L))    cpp_set_cuda_allocator_allocator_thresholds(getOption("torch.cuda_allocator_reserved_rate",         0.2), getOption("torch.cuda_allocator_allocated_rate",         0.8), getOption("torch.cuda_allocator_allocated_reserved_rate",         0.8))    register_lambda_function_deleter()    .generator_null <<- torch_generator()    .generator_null$set_current_seed(seed = sample(1e+05, 1))    .compilation_unit <<- cpp_jit_compilation_unit()}, error = function(e) {    msg <- if (is.character(e$message))         e$message    else "Unknown error."    cli::cli_warn(c(i = "torch failed to start, restart your R session to try again.",         i = "You might need to reinstall torch using {.fn install_torch}",         x = msg), parent = e)    FALSE})
   9: fun(libname, pkgname)
  10: doTryCatch(return(expr), name, parentenv, handler)
  11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  12: tryCatchList(expr, classes, parentenv, handlers)
  13: tryCatch(fun(libname, pkgname), error = identity)
  14: runHook(".onLoad", env, package.lib, package)
  15: loadNamespace(p)
  16: withCallingHandlers(expr, message = function(c) if (inherits(c,     classes)) tryInvokeRestart("muffleMessage"))
  17: suppressMessages(loadNamespace(p))
  18: withCallingHandlers(expr, warning = function(w) if (inherits(w,     classes)) tryInvokeRestart("muffleWarning"))
  19: suppressWarnings(suppressMessages(loadNamespace(p)))
  20: doTryCatch(return(expr), name, parentenv, handler)
  21: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  22: tryCatchList(expr, classes, parentenv, handlers)
  23: tryCatch(suppressWarnings(suppressMessages(loadNamespace(p))),     error = function(e) e)
  24: tools:::.check_packages_used(package = "crumble")
  An irrecoverable exception occurred. R is aborting now ...
  Segmentation fault

Package: deepregression
Check: whether package can be installed
New result: WARNING
  Found the following significant warnings:
    Warning: Torch libraries are installed but loading them caused a segfault.

Package: geodl
Check: whether package can be installed
New result: WARNING
  Found the following significant warnings:
    Warning: Torch libraries are installed but loading them caused a segfault.

Package: innsight
Check: whether package can be installed
New result: WARNING
  Found the following significant warnings:
    Warning: Torch libraries are installed but loading them caused a segfault.

Package: RGAN
Check: R code for possible problems
New result: NOTE
  Warning: Torch libraries are installed but loading them caused a segfault.
  Please reinstall torch with `install_torch(reinstall = TRUE)`
  You can disable this check by setting `TORCH_VERIFY_LOAD` to "FALSE"
  Torch libraries installed in: '/home/hornik/tmp/CRAN_recheck/Library/torch'
  ! callr subprocess failed: could not start R, exited with non-zero status, has
  crashed or was killed

Package: spinner
Check: whether the package can be loaded with stated dependencies
New result: WARNING
  
   *** caught bus error ***
  address 0x7f5ae9420700, cause 'non-existent physical address'
  
  Traceback:
   1: cpp_lantern_init(file.path(torch_install_path(), "lib"))
   2: lantern_start()
   3: doTryCatch(return(expr), name, parentenv, handler)
   4: tryCatchOne(expr, names, parentenv, handlers[[1L]])
   5: tryCatchList(expr, classes, parentenv, handlers)
   6: tryCatch({    lantern_start()    cpp_set_lantern_allocator(getOption("torch.threshold_call_gc",         4000L))    cpp_set_cuda_allocator_allocator_thresholds(getOption("torch.cuda_allocator_reserved_rate",         0.2), getOption("torch.cuda_allocator_allocated_rate",         0.8), getOption("torch.cuda_allocator_allocated_reserved_rate",         0.8))    register_lambda_function_deleter()    .generator_null <<- torch_generator()    .generator_null$set_current_seed(seed = sample(1e+05, 1))    .compilation_unit <<- cpp_jit_compilation_unit()}, error = function(e) {    msg <- if (is.character(e$message))         e$message    else "Unknown error."    cli::cli_warn(c(i = "torch failed to start, restart your R session to try again.",         i = "You might need to reinstall torch using {.fn install_torch}",         x = msg), parent = e)    FALSE})
   7: fun(libname, pkgname)
   8: doTryCatch(return(expr), name, parentenv, handler)
   9: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  10: tryCatchList(expr, classes, parentenv, handlers)
  11: tryCatch(fun(libname, pkgname), error = identity)
  12: runHook(".onLoad", env, package.lib, package)
  13: loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]])
  14: namespaceImport(ns, loadNamespace(i, c(lib.loc, .libPaths()),     versionCheck = vI[[i]]), from = package)
  15: loadNamespace(package, lib.loc)
  16: doTryCatch(return(expr), name, parentenv, handler)
  17: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  18: tryCatchList(expr, classes, parentenv, handlers)
  19: tryCatch({    ns <- loadNamespace(package, lib.loc)    env <- attachNamespace(ns, pos = pos, deps, exclude, include.only)}, error = function(e) {    P <- if (!is.null(cc <- conditionCall(e)))         paste(" in", deparse(cc)[1L])    else ""    msg <- gettextf("package or namespace load failed for %s%s:\n %s",         sQuote(package), P, conditionMessage(e))    if (logical.return && !quietly)         message(paste("Error:", msg), domain = NA)    else stop(msg, call. = FALSE, domain = NA)})
  20: library(spinner)
  An irrecoverable exception occurred. R is aborting now ...
  Bus error
  
  It looks like this package (or one of its dependent packages) has an
  unstated dependence on a standard package.  All dependencies must be
  declared in DESCRIPTION.
  See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
  manual.

Package: survdnn
Check: whether package can be installed
New result: ERROR
  Installation failed.

Package: tabnet
Check: whether package can be installed
New result: WARNING
  Found the following significant warnings:
    Warning: Torch libraries are installed but loading them caused a segfault.