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DavidNgoue

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cc_RNN_NgoueDavidRogerYannick

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Sleeping

• "pytorch_lightning.loops.optimization.manual._ManualOptimization",
• "torch.utils.data.dataloader.DataLoader",
• "torch.utils._pytree.LeafSpec",
• "numpy.dtype",
• "pytorch_lightning.trainer.connectors.logger_connector.result._ResultMetric",
• "pytorch_lightning.trainer.connectors.data_connector._DataLoaderSource",
• "torch._utils._rebuild_tensor_v2",
• "pytorch_lightning.overrides.distributed._IndexBatchSamplerWrapper",
• "numpy.core.multiarray.scalar",
• "torch.utils.data.sampler.RandomSampler",
• "fsspec.implementations.local.LocalFileSystem",
• "pytorch_lightning.trainer.connectors.logger_connector.logger_connector._LoggerConnector",
• "neuralprophet.configure.MissingDataHandling",
• "torch.nn.modules.container.ParameterDict",
• "torch.nn.modules.loss.SmoothL1Loss",
• "neuralprophet.configure.Trend",
• "torchmetrics.regression.mse.MeanSquaredError",
• "pytorch_lightning.loops.progress._BatchProgress",
• "pytorch_lightning.trainer.connectors.logger_connector.result._Metadata",
• "torchmetrics.regression.mae.MeanAbsoluteError",
• "torch.utils.data.sampler.SequentialSampler",
• "pytorch_lightning.loops.fetchers._PrefetchDataFetcher",
• "pytorch_lightning.loops.fit_loop._FitLoop",
• "neuralprophet.logger.MetricsLogger",
• "pytorch_lightning.strategies.single_device.SingleDeviceStrategy",
• "collections.OrderedDict",
• "pytorch_lightning.loops.optimization.automatic._AutomaticOptimization",
• "builtins.list",
• "pytorch_lightning.loops.progress._ProcessedTracker",
• "torch._C._VariableFunctionsClass",
• "pytorch_lightning.profilers.base.PassThroughProfiler",
• "functools.partial",
• "neuralprophet.time_net.TimeNet",
• "pytorch_lightning.trainer.connectors.callback_connector._CallbackConnector",
• "neuralprophet.configure.Normalization",
• "fsspec.spec.make_instance",
• "pytorch_lightning.loops.prediction_loop._PredictionLoop",
• "neuralprophet.configure.AR",
• "lightning_utilities.core.rank_zero.WarningCache",
• "pytorch_lightning.trainer.connectors.data_connector._DataHookSelector",
• "pytorch_lightning.trainer.connectors.logger_connector.result._Sync.no_op",
• "pytorch_lightning.utilities.types.LRSchedulerConfig",
• "builtins.getattr",
• "pytorch_lightning.loops.progress._OptimizationProgress",
• "neuralprophet.configure.Season",
• "pytorch_lightning.trainer.connectors.accelerator_connector._AcceleratorConnector",
• "collections.defaultdict",
• "pytorch_lightning.utilities.model_helpers._ModuleMode",
• "pytorch_lightning.trainer.states.TrainerState",
• "torchmetrics.metric.jit_distributed_available",
• "neuralprophet.forecaster.NeuralProphet",
• "torch.float32",
• "pytorch_lightning.plugins.precision.precision.Precision",
• "pytorch_lightning.trainer.connectors.logger_connector.result._ResultCollection",
• "pytorch_lightning.loops.fetchers._profile_nothing",
• "torch._utils._rebuild_parameter",
• "pytorch_lightning.trainer.trainer.Trainer",
• "neuralprophet.configure.ConfigFutureRegressors",
• "neuralprophet.configure.Model",
• "neuralprophet.configure.Train",
• "neuralprophet.components.seasonality.fourier.GlobalFourierSeasonality",
• "neuralprophet.components.trend.piecewise_linear.GlobalPiecewiseLinearTrend",
• "torch.storage._load_from_bytes",
• "lightning_fabric.utilities.data.AttributeDict",
• "pytorch_lightning.utilities.combined_loader._MaxSizeCycle",
• "lightning_fabric.plugins.io.torch_io.TorchCheckpointIO",
• "neuralprophet.logger.ProgressBar",
• "numpy.ndarray",
• "pytorch_lightning.loops.progress._StartedTracker",
• "torch.utils.data.sampler.BatchSampler",
• "torch.optim.adamw.AdamW",
• "builtins.int",
• "pytorch_lightning.trainer.connectors.logger_connector.result._Sync",
• "torchmetrics.utilities.data.dim_zero_sum",
• "pytorch_lightning.loops.training_epoch_loop._TrainingEpochLoop",
• "pytorch_lightning.trainer.states.TrainerStatus",
• "pytorch_lightning.trainer.connectors.signal_connector._SignalConnector",
• "pytorch_lightning.loops.progress._SchedulerProgress",
• "pytorch_lightning.accelerators.cpu.CPUAccelerator",
• "neuralprophet.configure.ConfigSeasonality",
• "pytorch_lightning.utilities.combined_loader.CombinedLoader",
• "pandas._libs.tslibs.timestamps._unpickle_timestamp",
• "pytorch_lightning.strategies.strategy._ForwardRedirection",
• "builtins.dict",
• "pytorch_lightning.trainer.connectors.checkpoint_connector._CheckpointConnector",
• "pytorch_lightning.trainer.states.TrainerFn",
• "lightning_fabric.plugins.environments.lightning.LightningEnvironment",
• "pytorch_lightning.loops.progress._ReadyCompletedTracker",
• "torch.utils.data._utils.collate.default_collate",
• "numpy.core.multiarray._reconstruct",
• "pytorch_lightning.loops.progress._OptimizerProgress",
• "pytorch_lightning.loops.progress._Progress",
• "torch.optim.lr_scheduler.OneCycleLR",
• "pytorch_lightning.trainer.connectors.data_connector._DataConnector",
• "torchmetrics.collections.MetricCollection",
• "torch.device",
• "pytorch_lightning.trainer.states.RunningStage",
• "neuralprophet.df_utils.ShiftScale",
• "neuralprophet.time_dataset.GlobalTimeDataset",
• "pytorch_lightning.loops.evaluation_loop._EvaluationLoop",
• "pandas._libs.tslibs.timedeltas._timedelta_unpickle"

How to fix it?