msgid ""
msgstr ""
"Project-Id-Version: luz 0.4.0.9002\n"
"POT-Creation-Date: 2024-08-14 19:43+0200\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"Language: \n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=UTF-8\n"
"Content-Transfer-Encoding: 8bit\n"

#: accelerator.R:33
msgid "Wrong number of parameters in the prepared model."
msgstr ""

#: accelerator.R:34
msgid "Please report an issue in the GitHub repository."
msgstr ""

#: accelerator.R:58
msgid "Unhandled object with class {class(obj)}"
msgstr ""

#: accelerator.R:59
msgid "Only nn_modules, optimizers and dataloaders are supported."
msgstr ""

#: as_dataloader.R:42
msgid "Unsupported object with class '"
msgstr ""

#: as_dataloader.R:44
msgid "'."
msgstr ""

#: as_dataloader.R:45 module.R:522 module.R:526
msgid "value_error"
msgstr ""

#: as_dataloader.R:99
msgid "Can't convert object with class '%s' to a torch dataset."
msgstr ""

#: callbacks-monitor-metrics.R:24
msgid "Expected monitored metric to be length 1, got {length(out)}"
msgstr ""

#: callbacks.R:42
msgid ""
"Error while calling callback with class {.cls {class(callback)}} at {.field "
"{name}}."
msgstr ""

#: callbacks.R:348
msgid ""
"Error when evaluating {.field update} for metric with abbrev {.val "
"{metric$abbrev}} and class {.cls {class(metric)}}"
msgstr ""

#: callbacks.R:349 callbacks.R:364
msgid ""
"The error happened at iter {.val {ctx$iter}} of epoch {.val {ctx$epoch}}."
msgstr ""

#: callbacks.R:350 callbacks.R:365
msgid ""
"The model was {.emph {ifelse(ctx$training, '', 'not ')}}in training mode."
msgstr ""

#: callbacks.R:363
msgid ""
"Error when evaluating {.field compute} for metric with abbrev {.val "
"{metric$abbrev}} and class {.cls {class(metric)}}"
msgstr ""

#: callbacks.R:452
msgid ""
"An optimizer name was not supplied and your model has multiple optimizers"
msgstr ""

#: callbacks.R:455
msgid "opt_name '{self$opt_name}' not found in ctx$optimizers."
msgstr ""

#: callbacks.R:532
msgid "{.var max_norm} should be a numeric scalar value."
msgstr ""

#: callbacks.R:533 callbacks.R:539
msgid "x"
msgstr ""

#: callbacks.R:533
msgid "Got {.cls {class(max_norm)}} with length {length(max_norm)}"
msgstr ""

#: callbacks.R:538
msgid "{.var norm_type} should be a numeric scalar value."
msgstr ""

#: callbacks.R:539
msgid "Got {.cls {class(norm_type)}} with length {length(norm_type)}"
msgstr ""

#: context.R:183
msgid "You are unsafe setting records and it's overriding current data."
msgstr ""

#: context.R:192
msgid ""
"Not allowed to modify records manually. Use ctx$log() or ctx$log_metric()"
msgstr ""

#: context.R:200
msgid "Not allowed to modify the device manually. Modify the ctx$accelerator"
msgstr ""

#: context.R:203
msgid "Context doesn't have an accelerator attached."
msgstr ""

#: context.R:342
msgid "{.var ctx$opt} not set."
msgstr ""

#: context.R:356
msgid "{.var ctx$opt_name} not set."
msgstr ""

#: context.R:574
msgid "Expected `min_epochs` to be a scalar integer, got {str(min)}."
msgstr ""

#: context.R:577
msgid "Expected `max_epochs` to be a scalar integer, got {str(max)}."
msgstr ""

#: context.R:580
msgid "`min_epochs` is higher than `max_epochs` and that's not allowed."
msgstr ""

#: context.R:591
msgid "List of optimizers is not named."
msgstr ""

#: context.R:592
msgid "When returning a list of optimizers, the list must be named."
msgstr ""

#: context.R:597
msgid ""
"Expected a torch optimizer but got an object with class '{class(i)[1]}'."
msgstr ""

#: losses.R:22
msgid "Loss must be a `nn_module`."
msgstr ""

#: losses.R:25
msgid "The `reduction` attribute must be supported by the `nn_module`."
msgstr ""

#: metrics-auc.R:13
msgid "num_thresholds must be > 1"
msgstr ""

#: metrics-auc.R:32
msgid "not implemented"
msgstr ""

#: metrics.R:74
msgid "Expected an object with class {.cls luz_metric_generator}."
msgstr ""

#: metrics.R:75
msgid "Got an object with class {.cls {class(x)}}."
msgstr ""

#: module.R:51
msgid "No loss function has been provided."
msgstr ""

#: module.R:52
msgid "Use the `loss` argument or,"
msgstr ""

#: module.R:53
msgid "Implement the `loss` method in the `nn_module` or,"
msgstr ""

#: module.R:54
msgid ""
"Implement a custom `step` method that manually optimized the parameters."
msgstr ""

#: module.R:61
msgid "No optimizer definition has been provided."
msgstr ""

#: module.R:62
msgid "Use the optimizer argument or,"
msgstr ""

#: module.R:63
msgid "Implement the `set_optimizers` method in the `nn_module`."
msgstr ""

#: module.R:68
msgid "backward should be a function with a single argument"
msgstr ""

#: module.R:521
msgid "valid_data must be a value between 0 and 1, got %f"
msgstr ""

#: module.R:525
msgid "Can't create a validation set from the training dataloader."
msgstr ""

#: module.R:526
msgid "Supply a torch dataset instead."
msgstr ""

#: module.R:542
msgid ""
"`dataloader_options` won't be used because `data` is already a dataloader."
msgstr ""

#: module.R:545
msgid ""
"`dataloader_options` will be ignored for `valid_data` since it's already a "
"dataloader"
msgstr ""

#: module.R:571
msgid "`shuffle=TRUE` will be ignored for predictions."
msgstr ""

#: serialization.R:29
msgid ""
"luz_save only works with 'luz_module_fitted_objects' and got {class(obj)[1]}"
msgstr ""

#: serialization.R:192
msgid "Failed resuming the model."
msgstr ""

#: serialization.R:194
msgid "A callback with class {.cls {class(cb)} has been attached"
msgstr ""

#: serialization.R:195
msgid "to it, but doesn't implement the {.fn load_state_dict} method."
msgstr ""

#: utils.R:45
msgid "No {.val forward} method found."
msgstr ""

#: utils.R:128
msgid "Should have an out class."
msgstr ""

#: utils.R:156
msgid "The"
msgstr ""

#: utils.R:156
msgid "package must be installed in order to use `"
msgstr ""

#: utils.R:157
msgid "`"
msgstr ""

#: utils.R:157
msgid "Do you need to run `install.packages('"
msgstr ""

#: utils.R:158
msgid "')`?"
msgstr ""

#: utils.R:162
msgid "Objects must have the same length."
msgstr ""
