Lightning-AI/pytorch-lightning
Documented errors, page 5 of 5. Back to Lightning-AI/pytorch-lightning
| Code / Message | Type | Severity | Tags |
|---|---|---|---|
| method is invalid. Should be one of . | validation | error | tuner, validation, method-argument |
| Expected a method or a string, but got | validation | error | pytorch-lightning, fabric, type-mismatch, method-binding |
| __setitem__ is not supported | exception | warning | pytorch-lightning, not-implemented, internal-api |
| `training_step` returned `None`. If this was on purpose… | console | warning | training-step, loss, automatic-optimization, lightning |
| When requesting `ln_structured` pruning, the `pruning_norm`… | exception | error | pytorch-lightning, pruning, ln-structured, missing-argument |
| `DeepSpeedStrategy.save_checkpoint(..., filter=...)` is not… | validation | error | deepspeed, checkpointing, unsupported-argument, pytorch-lightning |
| The strategy ` ` requires a GPU accelerator, but received… | validation | error | pytorch-lightning, fsdp, strategy, cuda-only |
| HPU is currently not supported. Please contact… | validation | error | pytorch-lightning, hpu, unsupported-feature |
| `setup_dataloaders` requires at least one dataloader as… | validation | error | pytorch-lightning, fabric, dataloader, validation |
| You have overridden ` ` in `LightningModule` but have… | console | warning | datamodule, hook-conflict, data-loading, lightning |
| All datasets are iterable-style datasets. | validation | error | combined-loader, iterable-dataset, not-implemented |
| raise ModuleNotFoundError(str(_XLA_AVAILABLE)) | exception | critical | xla, tpu, missing-dependency, pytorch-lightning |
| Received both `precision= | validation | error | lightning, fabric, precision, plugins, conflicting-arguments |
| `self.log( , )` was called, but nested dictionaries cannot… | exception | error | pytorch-lightning, fabric, self-log, nested-dict, validation |
| `verbose` must be any of (0, 1, 2) | exception | error | pytorch-lightning, pruning, verbose, argument-validation |
| You have to specify either `clip_val` or `max_norm` to do… | validation | error | lightning, fabric, gradient-clipping, missing-argument |
| f"`reload_dataloaders_every_n_epochs` should be an int >=… | validation | error | lightning, trainer-init, dataloader-reload, type-error, config |
| SWA does not currently support sharded models. | exception | error | swa, fsdp, deepspeed, sharding, incompatible-strategy |
| Cannot determine global rank. Environment variable… | validation | error | lsf, jsrun, hpc, missing-env-var, distributed |
| Cannot use `LearningRateMonitor` callback with `Trainer`… | validation | error | lightning, lr-monitor, missing-logger, trainer-config |
| `max_steps` must be a non-negative integer or -1 (infinite… | exception | error | pytorch-lightning, trainer, max-steps, validation |
| `self.log( , )` was called, but ` ` values cannot be logged | exception | error | pytorch-lightning, fabric, self-log, type-validation, non-numeric |
| Skipping ' ' parameter because it is not possible to safely… | console | warning | hyperparameters, yaml-serialization, saving, lightning |
| `Trainer.save_checkpoint(..., storage_options=...)` with… | validation | error | xla, checkpoint, storage-options, pytorch-lightning |
| The provided lr scheduler | exception | error | lr-scheduler, checkpointing, type-error, lightning |
| Torch distributed is not available. | exception | critical | pytorch-lightning, distributed, pytorch-build, platform-support |
| Epoch should be an int greater than or equal to 0. Got | validation | error | lightning, gradient-accumulation, invalid-key, type-validation |
| Expected a list as "audios", found | exception | error | wandb, lightning, logging, audio, type-error |
| Providing log_model= | exception | error | wandb, lightning, logger, offline, config-conflict |
| The provided path is not a valid DeepSpeed checkpoint | error_code | error | deepspeed, checkpoint, path, load |
| When saving the DeepSpeed Stage 3 checkpoint, each worker… | console | warning | deepspeed, zero-stage-3, checkpoint, sharding |
| `num_nodes` must be a positive integer, but got | validation | error | pytorch-lightning, num-nodes, input-validation |
| ` .save_checkpoint(..., storage_options=...)` is not… | exception | error | checkpoint, storage-options, model-parallel, unsupported-argument |
| ' ' not found in registry. Available names | exception | error | lightning, fabric, registry, unknown-strategy, key-error |
| `self.log( , )` was called, but the tensor must have a… | exception | error | pytorch-lightning, self-log, tensor, scalar, shape-validation |
| Invalid value for save_top_k= | validation | error | lightning, model-checkpoint, invalid-argument, callback-config |
| ` ` already owns a group. | exception | error | pytorch-lightning, distributed, process-group, collectives, double-setup |
| ` .to_tensorrt` requires `torch_tensorrt` to be installed. | exception | error | tensorrt, export, missing-dependency, lightning |
| Mismatch in flattened length | validation | error | combined-loader, mutation, length-mismatch |
| Expected a list as "videos", found | exception | error | wandb, lightning, logging, video, type-error |
| ` ` can not run on your system since the accelerator is not… | validation | error | pytorch-lightning, accelerator, hardware-availability |
| f"`gradient_clip_algorithm | validation | error | trainer, gradient-clipping, invalid-argument, misconfiguration, pytorch-lightning |
| `model` is required to be a compiled LightningModule. Found… | validation | error | torch-compile, state-check |
| f"`Trainer(barebones=True, num_sanity_val_steps= )` was… | validation | error | trainer, barebones, sanity-check, misconfiguration, pytorch-lightning |
| In tuner with method= | validation | error | tuner, dataloaders, misconfiguration |
| The `CSVLogger` does not yet support logging… | exception | warning | pytorch-lightning, fabric, csv-logger, hyperparameters, not-implemented |
| `max_depth` can be -1, 0 or > 0, got | exception | error | model-summary, validation, lightning, valueerror |
| The XLA strategy can only work with the `XLAPrecision`… | exception | error | xla, precision-plugin, plugin-mismatch |
| You selected an invalid accelerator name: `accelerator= | validation | error | pytorch-lightning, trainer, accelerator, invalid-argument |
| Choosing method=`trace` requires either `example_inputs` or… | exception | error | torchscript, trace, example-input, lightning |
| f"`gradient_clip_val` should be an int or a float. Got | validation | error | trainer, gradient-clipping, type-error, hyperparameters, pytorch-lightning |
| hparams must be dictionary | exception | error | lightning, hparams, yaml, type-error, serialization |
| Starting from v1.9.0, `tensorboardX` has been removed as a… | console | warning | logger, tensorboard, csv-fallback, lightning, version-change |
| The ` ` does not support setting a `CheckpointIO` plugin. | validation | error | fsdp, checkpoint, not-implemented, setter |
| The PyTorch Profiler default schedule will be overridden as… | console | warning | profiler, pytorch-profiler, schedule, lightning |
| Passed ` (precision= )`. Precision must be '16-mixed' or… | validation | error | amp, precision, validation, pytorch-lightning |
| predict returned None if it was on purpose, ignore this… | console | warning | predict-step, inference, lightning |
| `prefetch_batches` should at least be 0. | exception | error | lightning, data-loading, prefetch, validation |
| f"`Trainer(barebones=True, detect_anomaly= )` was passed."… | validation | error | trainer, barebones, anomaly-detection, misconfiguration, pytorch-lightning |
| Trainer is already configured with a `BatchSizeFinder`… | validation | error | batch-size-finder, callbacks, tuner, duplicate-config |
| Trainer is already configured with a `LearningRateFinder`… | validation | error | lr-finder, callbacks, tuner, duplicate-config |
| train_dataloader yielded None. If this was on purpose… | console | warning | training, dataloader, none-batch, lightning |
| f"`Trainer(barebones=True, enable_model_summary= )` was… | validation | error | trainer, barebones, model-summary, misconfiguration, pytorch-lightning |
| f"`Trainer(barebones=True, fast_dev_run= )` was passed." "… | validation | error | trainer, barebones, fast-dev-run, misconfiguration, pytorch-lightning |
| Mismatch in number of limits | validation | error | combined-loader, limits, validation |
| Could not export to TensorRT since neither `input_sample`… | exception | error | tensorrt, example-input, lightning |
| The 'method' parameter only supports 'script' or 'trace'… | exception | error | torchscript, invalid-argument, lightning |
| `model` is required to be a `OptimizedModule`. Found a | validation | error | torch-compile, type-mismatch, unwrap |
| f"`Trainer(barebones=True, profiler= )` was passed." "… | validation | error | trainer, barebones, profiler, misconfiguration, pytorch-lightning |
| Unsupported mode , please select one of: . | validation | error | combined-loader, mode, invalid-argument |
| Please call `iter(combined_loader)` first. | validation | error | combined-loader, iteration-order, runtime-state |
| `Trainer(devices= )` value is not a valid input using… | validation | error | pytorch-lightning, devices, config-validation |
| Cannot determine local rank. Environment variable… | validation | error | lsf, jsrun, hpc, missing-env-var, distributed |
| LitLogger does not support `log_graph` | console | warning | logger, log-graph, litlogger, lightning |
| ` ` does not own a group to destroy. | exception | error | pytorch-lightning, distributed, process-group, collectives, teardown |
| `model` must either be an instance of OptimizedModule or… | validation | error | torch-compile, type-mismatch |