Lightning-AI/pytorch-lightning
Documented errors, page 4 of 5. Back to Lightning-AI/pytorch-lightning
| Code / Message | Type | Severity | Tags |
|---|---|---|---|
| Bitsandbytes is only supported on CUDA GPUs. | validation | error | pytorch-lightning, bitsandbytes, quantization, cuda-only |
| You have set `Trainer | exception | error | pytorch-lightning, gradient-clipping, trainer-config, conflict |
| Currently only one optimizer is supported with DeepSpeed… | exception | error | deepspeed, optimizers, multiple-optimizers, configure-optimizers |
| SWA currently works with 1 `optimizer`. | exception | error | swa, multiple-optimizers, configure-optimizers, callback |
| `write_interval` should be one of | exception | error | pytorch-lightning, prediction-writer, write-interval, argument-validation |
| Attempting to stop recording an action | exception | error | profiler, advanced-profiler, api-misuse, pytorch-lightning |
| Loading a single optimizer object from a checkpoint is not… | validation | error | fsdp, optimizer, checkpoint, not-implemented, pytorch-lightning |
| NeptuneLogger is no longer supported. Neptune has been… | exception | error | neptune, lightning, logger, removed-api, sunset |
| `train_dataloader` must be implemented to be used with the… | exception | error | train-dataloader, not-implemented, lightning-module, required-method |
| "`val_check_interval` should be an integer or a time-based… | validation | error | lightning, val-check-interval, validation, trainer-init, config |
| You cannot execute `. | validation | error | lightning, fast-dev-run, checkpoint, best-model, smoke-test |
| DeepSpeed handles gradient clipping automatically within… | validation | error | deepspeed, gradient-clipping, not-implemented |
| ' ' is already present in the registry. HINT: Use… | validation | error | pytorch-lightning, trainer, barebones, logger |
| You marked ' ' as a forward method, but ` . ` does not… | exception | error | pytorch-lightning, fabric, attribute-error, method-lookup |
| You selected `Trainer | validation | error | pytorch-lightning, ddp-fork, windows, platform-unsupported |
| Invalid value for every_n_epochs= | validation | error | pytorch-lightning, modelcheckpoint, config-validation, argument-validation |
| Filter should be a dictionary, given | validation | error | lightning, fabric, checkpointing, type-validation |
| You set `Trainer(sync_batchnorm=True)` and provided a | validation | error | pytorch-lightning, sync-batchnorm, plugins, configuration-conflict |
| Automatic gradient accumulation is not supported for manual… | validation | error | pytorch-lightning, manual-optimization, gradient-accumulation, configuration |
| `. (ckpt_path="best")` is set but `ModelCheckpoint` is not… | validation | error | lightning, model-checkpoint, monitor, best-model, test |
| `mode` can be but got | exception | error | pytorch-lightning, modelcheckpoint, mode, argument-validation |
| `model.configure_optimizers()` returned | validation | error | lr-finder, tuner, multiple-optimizers, configure-optimizers, pytorch-lightning |
| `self.log_dict( )` was called, but nested dictionaries… | exception | error | pytorch-lightning, fabric, log-dict, nested-dict, validation |
| Unsupported config type of | exception | error | pytorch-lightning, hparams, save-hyperparameters, type-validation, unsupported-type |
| Unsupported op of type | validation | error | pytorch-lightning, distributed, reduceop, type-validation |
| When `optimizer.step(closure)` is called, the closure… | exception | error | optimizer, closure, manual-optimization, lightning |
| Could not export to ONNX since neither `input_sample` nor… | exception | error | onnx, export, example-input, lightning |
| The expected response | exception | error | lightning, serving, response-mismatch, assertion |
| The provided `parameter_names` name | exception | error | pytorch-lightning, pruning, parameter-names, argument-validation |
| You requested to find | validation | error | pytorch-lightning, trainer, profiler, invalid-argument |
| is neither stored in the model namespace nor the `hparams`… | exception | error | attribute-lookup, batch-size, tuner, lightning |
| Cannot determine world size. Environment variable… | validation | error | lsf, jsrun, hpc, missing-env-var, distributed |
| Empty dict cannot be interpreted correct | validation | error | lightning, gradient-accumulation, empty-argument, callback-config |
| Invalid mode. Has to be min or max, found | validation | error | lightning, spike-detection, configuration |
| Your provided payload | exception | error | lightning, serving, payload, schema |
| Found sort_by_key: . Should be within . | exception | error | profiler, invalid-argument, pytorch-lightning |
| precision set through both strategy class and plugins… | validation | error | pytorch-lightning, strategy, precision, conflicting-config |
| The sizes `data_parallel_size= | exception | error | lightning, fabric, model-parallel, device-mesh, world-size |
| A model should be passed only once to the `setup` method. | validation | error | lightning, fabric, setup, double-setup |
| The server didn't start within | exception | error | lightning, serving, timeout, server-startup |
| This script was launched through the CLI, and processes… | exception | error | lightning, fabric, cli, launch, double-launch |
| You have set `Trainer | exception | error | pytorch-lightning, gradient-clipping, trainer-config, conflict |
| Expected items but only found for | exception | error | wandb, lightning, logging, images, length-mismatch |
| "`Trainer.test()` requires a `LightningModule` when it… | validation | error | trainer, test, missing-model, checkpoint, pytorch-lightning |
| A model should be passed only once to the `setup_module`… | validation | error | lightning, fabric, setup-module, double-setup |
| Found multiple DeepSpeed engine modules in the given state… | validation | error | deepspeed, checkpointing, multiple-models, pytorch-lightning |
| The XLA strategy can only work with the `XLACheckpointIO`… | exception | error | xla, checkpoint-io, plugin-mismatch |
| checkpoint_io set through both strategy class and plugins… | validation | error | lightning, fabric, strategy, checkpointio, plugins, conflicting-arguments |
| cluster_environment set through both strategy class and… | validation | error | lightning, fabric, strategy, cluster-environment, plugins, conflicting-arguments |
| Expected a list as "images", found | exception | error | wandb, lightning, logging, images, type-error |
| `. ()` found no path for the best weights: . Please specify… | validation | error | lightning, checkpoint, resume, path-resolution, test |
| No supported gpu backend found! | validation | error | pytorch-lightning, gpu, cuda, environment |
| SWA currently not supported for more than 1 `lr_scheduler`. | exception | error | swa, lr-scheduler, multiple-schedulers, callback |
| `test_dataloader` must be implemented to be used with the… | exception | error | test-dataloader, not-implemented, lightning-module, required-method |
| Did not find the environment variable `LSB_DJOB_RANKFILE` | validation | error | lsf, bsub, hpc, missing-env-var, distributed |
| swa_epoch_start should be a >0 integer or a float between 0… | exception | error | swa, stochastic-weight-averaging, validation, callback |
| Expected a precision plugin, got | exception | error | pytorch-lightning, fabric, precision, type-mismatch |
| TensorRT with IR mode 'ts' only supports output format… | exception | error | tensorrt, invalid-combination, torchscript, lightning |
| Training with multiple optimizers is only supported with… | exception | critical | optimizer, manual-optimization, gan, lightning |
| An optimizer should be passed only once to the `setup`… | validation | error | lightning, fabric, setup, optimizer, double-setup |
| `Fabric.launch(...)` needs to be a callable, but got | validation | error | lightning, fabric, launch, callable, typo |
| Found multiple FSDP models in the given state. Loading… | validation | error | fsdp, checkpoint, load, distributed, pytorch-lightning |
| `model` is expected to be a compiled LightningModule. Found… | validation | error | torch-compile, mixed-imports, type-mismatch |
| ` ` does not own a group. HINT: try… | exception | error | pytorch-lightning, distributed, process-group, collectives |
| Unsupported parameter value `Timer | exception | error | timer, interval, enum-validation, callback |
| You are using the bitsandbytes precision plugin, but your… | validation | error | bitsandbytes, quantization, model-structure, pytorch-lightning |
| A dataloader should be passed only once to the… | validation | error | pytorch-lightning, fabric, dataloader, double-setup |
| . It looks like you passed the path to a file inside a… | error_code | error | deepspeed, checkpoint, path, load |
| `model` must be a `LightningModule` or… | validation | error | torch-compile, mixed-imports, trainer, type-mismatch |
| You have overridden ` ` in both `LightningModule` and… | console | warning | datamodule, hook-conflict, data-loading, lightning |
| Accumulation factor should be an int greater than 0. Got | validation | error | lightning, gradient-accumulation, invalid-value, type-validation |
| Currently, the XLAStrategy only supports `sum`, `mean`… | exception | error | xla, reduce, reduce-op, distributed |
| You have overridden the `LightningModule.backward` hook but… | console | warning | deepspeed, backward-hook, precision, lightning |
| Device IDs (GPU/TPU) must be an int, a string, a sequence… | validation | error | devices, typeerror, config, validation |
| `Fabric(devices= )` value is not a valid input using… | validation | error | lightning, fabric, devices, argument-validation, no-gpus |
| SWA with `swa_epoch_start` as a float is not supported when… | exception | error | swa, max-epochs, open-ended-training, callback |
| ` .to_onnx(dynamo=True)` requires `onnxscript` to be… | exception | error | onnx, dynamo, onnxscript, missing-dependency, lightning |
| Could not find a DeepSpeed model in the provided checkpoint… | validation | error | deepspeed, checkpointing, resume, state-validation, pytorch-lightning |
| If lengths are passed | exception | error | pytorch-lightning, throughput, state-consistency |
| method='fit' is the only valid configuration to run lr… | validation | error | lr-finder, tuner, misconfiguration, lightning |
| `mode` should be either of | validation | error | lightning, lr-finder, invalid-argument, hyperparameter-tuning |
| op is not a member of `ReduceOp | validation | error | pytorch-lightning, distributed, reduceop, invalid-value |
| Both ` .configure_model`, and ` .configure_sharded_model`… | validation | error | pytorch-lightning, fsdp, deprecated-hook, configuration |
| The model isn't servable. Investigate the traceback and try… | exception | error | lightning, serving, misconfiguration, pipeline-gate |
| only works with `dtype=torch.float16`, but you chose | validation | error | bitsandbytes, quantization, int8, dtype, pytorch-lightning |
| `amount` should be provided and be either an int, a float… | exception | error | pytorch-lightning, pruning, amount, type-error |
| `DeepSpeedStrategy.save_checkpoint(...… | validation | error | deepspeed, checkpointing, unsupported-argument, pytorch-lightning |
| Found multiple DeepSpeed engine modules in the given state… | validation | error | deepspeed, checkpointing, resume, multiple-models, pytorch-lightning |
| Got FSDPStrategy.load_checkpoint | validation | error | fsdp, checkpoint, load, validation, pytorch-lightning |
| The "interval" key in lr scheduler dict must be "step" or… | exception | critical | lr-scheduler, interval, validation, lightning |
| `Timer(duration= )` is not a valid duration. Expected a… | exception | error | timer, duration-format, validation, callback |
| `Trainer.predict()` requires a `LightningModule` when it… | validation | error | trainer, predict, inference, missing-model, pytorch-lightning |
| Unexpected error, the wrapped model should be a… | validation | error | torch-compile, unwrap, invariant-violation |
| device is expected to be a torch.device or a str. Found | exception | error | swa, device, validation, callback |
| In tuner with `method`= | validation | error | tuner, dataloaders, misconfiguration |
| Neither `tensorboard` nor `tensorboardX` is available. Try… | exception | error | pytorch-lightning, tensorboard, missing-dependency, logger |
| The `serve_step` method needs to be overridden. | exception | error | lightning, serving, inference, not-implemented |
| `configure_optimizers` must include a monitor when a… | exception | critical | lr-scheduler, reduce-lr-on-plateau, monitor, lightning |
| Device should be CUDA, got | validation | error | pytorch-lightning, trainer, fast-dev-run, validation |
| f"`check_val_every_n_epoch` should be an integer, found | validation | error | lightning, trainer-init, validation-interval, type-error, config |