High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
This report presents the forensic synthetic code analysis of pytorch/ignite, a Python project with 4,769 GitHub stars. SynthScan v2.0 examined 91,736 lines of code across 436 source files, recording 1812 pattern matches distributed across 15 syntactic categories. The overall adjusted score of 22.2 places this repository in the Moderate AI signal band.
The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).
This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.
Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.
This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.
The scanner identified 1812 distinct pattern matches across 15 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | CONTRIBUTING.md | 130 | - naming of testing functions `def test_*`, e.g. `def test_precision_on_random_data()` | CODE |
| LOW | ignite/metrics/top_k_categorical_accuracy.py | 48 | def one_hot_to_binary_output_transform(output): | STRING |
| LOW | ignite/metrics/ssim.py | 156 | def _gaussian_or_uniform_kernel( | CODE |
| LOW | ignite/metrics/recall.py | 200 | def thresholded_output_transform(output): | CODE |
| LOW | ignite/metrics/fbeta.py | 126 | def thresholded_output_transform(output): | CODE |
| LOW | ignite/metrics/precision_recall_curve.py | 11 | def precision_recall_curve_compute_fn(y_preds: torch.Tensor, y_targets: torch.Tensor) -> tuple[Any, Any, Any]: | CODE |
| LOW | ignite/metrics/average_precision.py | 8 | def average_precision_compute_fn(y_preds: torch.Tensor, y_targets: torch.Tensor) -> float: | CODE |
| LOW | ignite/metrics/average_precision.py | 41 | def activated_output_transform(output): | STRING |
| LOW | ignite/metrics/metric.py | 674 | def _load_state_dict_per_rank(self, state_dict: Mapping) -> None: | CODE |
| LOW | ignite/metrics/metric.py | 903 | def _is_list_of_tensors_or_numbers(x: Sequence[torch.Tensor | float]) -> bool: | CODE |
| LOW | ignite/metrics/precision.py | 361 | def thresholded_output_transform(output): | CODE |
| LOW | ignite/metrics/mean_average_precision.py | 90 | def _compute_average_precision(self, recall: torch.Tensor, precision: torch.Tensor) -> torch.Tensor: | STRING |
| LOW | ignite/metrics/mean_average_precision.py | 244 | def _check_binary_multilabel_cases(self, output: Sequence[torch.Tensor]) -> None: | STRING |
| LOW | ignite/metrics/mean_average_precision.py | 320 | def _compute_recall_and_precision( | STRING |
| LOW | ignite/metrics/accuracy.py | 52 | def _check_binary_multilabel_cases(self, output: Sequence[torch.Tensor]) -> None: | CODE |
| LOW | ignite/metrics/accuracy.py | 254 | def thresholded_output_transform(output): | CODE |
| LOW | ignite/metrics/confusion_matrix.py | 85 | def binary_one_hot_output_transform(output): | STRING |
| LOW | ignite/metrics/matthews_corrcoef.py | 8 | def matthews_corrcoef_compute_fn(y_preds: torch.Tensor, y_targets: torch.Tensor) -> float: | CODE |
| LOW | …cs/vision/object_detection_average_precision_recall.py | 11 | def coco_tensor_list_to_dict_list( | CODE |
| LOW | …cs/vision/object_detection_average_precision_recall.py | 180 | def _compute_recall_and_precision( | STRING |
| LOW | …cs/vision/object_detection_average_precision_recall.py | 221 | def _compute_average_precision(self, recall: torch.Tensor, precision: torch.Tensor) -> torch.Tensor: | STRING |
| LOW | ignite/metrics/nlp/bleu.py | 191 | def _brevity_penalty_smoothing( | STRING |
| LOW | …metrics/regression/median_absolute_percentage_error.py | 9 | def median_absolute_percentage_error_compute_fn(y_pred: torch.Tensor, y: torch.Tensor) -> float: | CODE |
| LOW | ignite/metrics/regression/median_absolute_error.py | 10 | def median_absolute_error_compute_fn(y_pred: torch.Tensor, y: torch.Tensor) -> float: | CODE |
| LOW | …e/metrics/regression/median_relative_absolute_error.py | 10 | def median_relative_absolute_error_compute_fn(y_pred: torch.Tensor, y: torch.Tensor) -> float: | CODE |
| LOW | ignite/distributed/utils.py | 356 | def all_gather_tensors_with_shapes( | CODE |
| LOW | ignite/distributed/comp_models/__init__.py | 16 | def setup_available_computation_models() -> tuple[ | CODE |
| LOW | ignite/distributed/comp_models/native.py | 185 | def _compute_node_and_local_ranks(rank: int, hostnames: list[tuple[str, ...]]) -> tuple[int, int]: | CODE |
| LOW | ignite/distributed/comp_models/native.py | 195 | def _compute_local_rank_via_hostname(self) -> int: | CODE |
| LOW | ignite/distributed/comp_models/native.py | 573 | def _setup_ddp_vars_from_slurm_env(environ: dict[str, str]) -> dict[str, str | int]: | CODE |
| LOW | ignite/contrib/engines/common.py | 51 | def setup_common_training_handlers( | CODE |
| LOW | ignite/contrib/engines/common.py | 155 | def _setup_common_training_handlers( | CODE |
| LOW | ignite/contrib/engines/common.py | 239 | def _setup_common_distrib_training_handlers( | CODE |
| LOW | ignite/contrib/engines/common.py | 310 | def gen_save_best_models_by_val_score( | CODE |
| LOW | ignite/contrib/engines/common.py | 372 | def save_best_model_by_val_score( | CODE |
| LOW | ignite/contrib/engines/common.py | 417 | def add_early_stopping_by_val_score( | CODE |
| LOW | ignite/contrib/engines/tbptt.py | 35 | def create_supervised_tbptt_trainer( | CODE |
| LOW | ignite/engine/events.py | 152 | def before_and_after_event_filter(before: int | None = None, after: int | None = None) -> Callable: | CODE |
| LOW | ignite/engine/events.py | 165 | def every_before_and_after_event_filter( | CODE |
| LOW | ignite/engine/events.py | 344 | def call_every_itr_before_after(engine): | STRING |
| LOW | ignite/engine/__init__.py | 141 | def supervised_training_step_amp( | CODE |
| LOW | ignite/engine/__init__.py | 237 | def supervised_training_step_apex( | CODE |
| LOW | ignite/engine/__init__.py | 324 | def supervised_training_step_tpu( | CODE |
| LOW | ignite/engine/__init__.py | 440 | def create_supervised_trainer( | CODE |
| LOW | ignite/engine/__init__.py | 638 | def supervised_evaluation_step( | CODE |
| LOW | ignite/engine/__init__.py | 696 | def supervised_evaluation_step_amp( | CODE |
| LOW | ignite/engine/__init__.py | 759 | def create_supervised_evaluator( | CODE |
| LOW | ignite/engine/engine.py | 829 | def _check_and_set_termination_param( | CODE |
| LOW | ignite/engine/engine.py | 846 | def _check_and_set_max_epochs(self, max_epochs: int | None = None) -> None: | CODE |
| LOW | ignite/engine/engine.py | 1179 | def _maybe_terminate_or_interrupt(self) -> Generator: | CODE |
| LOW | ignite/engine/engine.py | 1191 | def _run_once_on_dataset_as_gen(self) -> Generator[State, None, float]: | CODE |
| LOW | ignite/engine/engine.py | 1378 | def _run_once_on_dataset_legacy(self) -> float: | CODE |
| LOW | ignite/handlers/param_scheduler.py | 1062 | def create_lr_scheduler_with_warmup( | CODE |
| LOW | ignite/handlers/mlflow_logger.py | 175 | def _create_opt_params_handler(self, *args: Any, **kwargs: Any) -> "OptimizerParamsHandler": | CODE |
| LOW | ignite/handlers/polyaxon_logger.py | 147 | def _create_opt_params_handler(self, *args: Any, **kwargs: Any) -> "OptimizerParamsHandler": | CODE |
| LOW | ignite/handlers/tensorboard_logger.py | 231 | def _create_opt_params_handler(self, *args: Any, **kwargs: Any) -> "OptimizerParamsHandler": | CODE |
| LOW | ignite/handlers/wandb_logger.py | 169 | def _create_opt_params_handler(self, *args: Any, **kwargs: Any) -> "OptimizerParamsHandler": | CODE |
| LOW | ignite/handlers/visdom_logger.py | 220 | def _create_opt_params_handler(self, *args: Any, **kwargs: Any) -> "OptimizerParamsHandler": | CODE |
| LOW | ignite/handlers/base_logger.py | 112 | def _setup_output_metrics_state_attrs( | CODE |
| LOW | ignite/handlers/base_logger.py | 285 | def attach_opt_params_handler( | CODE |
| 1116 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | ignite/__init__.py | 1 | CODE | |
| LOW | ignite/__init__.py | 2 | CODE | |
| LOW | ignite/__init__.py | 3 | CODE | |
| LOW | ignite/__init__.py | 4 | CODE | |
| LOW | ignite/__init__.py | 5 | CODE | |
| LOW | ignite/__init__.py | 6 | CODE | |
| LOW | ignite/__init__.py | 7 | CODE | |
| LOW | ignite/utils.py | 1 | CODE | |
| LOW | ignite/_utils.py | 2 | CODE | |
| LOW | ignite/_utils.py | 2 | CODE | |
| LOW | ignite/_utils.py | 2 | CODE | |
| LOW | ignite/_utils.py | 2 | CODE | |
| LOW | ignite/metrics/__init__.py | 1 | CODE | |
| LOW | ignite/metrics/__init__.py | 2 | CODE | |
| LOW | ignite/metrics/__init__.py | 3 | CODE | |
| LOW | ignite/metrics/__init__.py | 5 | CODE | |
| LOW | ignite/metrics/__init__.py | 5 | CODE | |
| LOW | ignite/metrics/__init__.py | 5 | CODE | |
| LOW | ignite/metrics/__init__.py | 6 | CODE | |
| LOW | ignite/metrics/__init__.py | 7 | CODE | |
| LOW | ignite/metrics/__init__.py | 8 | CODE | |
| LOW | ignite/metrics/__init__.py | 9 | CODE | |
| LOW | ignite/metrics/__init__.py | 10 | CODE | |
| LOW | ignite/metrics/__init__.py | 10 | CODE | |
| LOW | ignite/metrics/__init__.py | 10 | CODE | |
| LOW | ignite/metrics/__init__.py | 10 | CODE | |
| LOW | ignite/metrics/__init__.py | 10 | CODE | |
| LOW | ignite/metrics/__init__.py | 11 | CODE | |
| LOW | ignite/metrics/__init__.py | 12 | CODE | |
| LOW | ignite/metrics/__init__.py | 13 | CODE | |
| LOW | ignite/metrics/__init__.py | 14 | CODE | |
| LOW | ignite/metrics/__init__.py | 15 | CODE | |
| LOW | ignite/metrics/__init__.py | 16 | CODE | |
| LOW | ignite/metrics/__init__.py | 17 | CODE | |
| LOW | ignite/metrics/__init__.py | 18 | CODE | |
| LOW | ignite/metrics/__init__.py | 19 | CODE | |
| LOW | ignite/metrics/__init__.py | 20 | CODE | |
| LOW | ignite/metrics/__init__.py | 21 | CODE | |
| LOW | ignite/metrics/__init__.py | 22 | CODE | |
| LOW | ignite/metrics/__init__.py | 23 | CODE | |
| LOW | ignite/metrics/__init__.py | 24 | CODE | |
| LOW | ignite/metrics/__init__.py | 25 | CODE | |
| LOW | ignite/metrics/__init__.py | 26 | CODE | |
| LOW | ignite/metrics/__init__.py | 27 | CODE | |
| LOW | ignite/metrics/__init__.py | 28 | CODE | |
| LOW | ignite/metrics/__init__.py | 29 | CODE | |
| LOW | ignite/metrics/__init__.py | 29 | CODE | |
| LOW | ignite/metrics/__init__.py | 29 | CODE | |
| LOW | ignite/metrics/__init__.py | 29 | CODE | |
| LOW | ignite/metrics/__init__.py | 29 | CODE | |
| LOW | ignite/metrics/__init__.py | 30 | CODE | |
| LOW | ignite/metrics/__init__.py | 31 | CODE | |
| LOW | ignite/metrics/__init__.py | 32 | CODE | |
| LOW | ignite/metrics/__init__.py | 33 | CODE | |
| LOW | ignite/metrics/__init__.py | 34 | CODE | |
| LOW | ignite/metrics/__init__.py | 35 | CODE | |
| LOW | ignite/metrics/__init__.py | 36 | CODE | |
| LOW | ignite/metrics/__init__.py | 36 | CODE | |
| LOW | ignite/metrics/__init__.py | 36 | CODE | |
| LOW | ignite/metrics/__init__.py | 37 | CODE | |
| 215 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | ignite/utils.py | 249 | Setups logger: name, level, format etc. Args: name: new name for the logger. If None, the standard logger i | STRING |
| HIGH | ignite/metrics/fbeta.py | 21 | Calculates F-beta score. .. math:: F_\beta = \left( 1 + \beta^2 \right) * \frac{ \text{precision} * \text{r | STRING |
| HIGH | ignite/metrics/metric.py | 224 | Base class for all Metrics. Args: output_transform: a callable that is used to transform the | STRING |
| HIGH | ignite/metrics/loss.py | 12 | Calculates the average loss according to the passed loss_fn. Args: loss_fn: a callable taking a predic | STRING |
| HIGH | ignite/metrics/confusion_matrix.py | 206 | Calculates Intersection over Union using :class:`~ignite.metrics.confusion_matrix.ConfusionMatrix` metric. .. math: | STRING |
| HIGH | ignite/metrics/confusion_matrix.py | 275 | Calculates mean Intersection over Union using :class:`~ignite.metrics.confusion_matrix.ConfusionMatrix` metric. Arg | STRING |
| HIGH | ignite/metrics/confusion_matrix.py | 434 | Calculates the Jaccard Index using :class:`~ignite.metrics.confusion_matrix.ConfusionMatrix` metric. Implementation | STRING |
| HIGH | ignite/distributed/utils.py | 359 | Helper method to gather tensors of possibly different shapes but with the same number of dimensions across processes | STRING |
| HIGH | ignite/distributed/utils.py | 438 | Helper method to perform broadcast operation. Args: tensor: tensor, number, str or pathlib.Path to broadcas | STRING |
| HIGH | ignite/distributed/utils.py | 572 | Initializes distributed configuration according to provided ``backend`` Args: backend: backend: `nccl`, `gl | STRING |
| HIGH | ignite/distributed/auto.py | 24 | Helper method to create a dataloader adapted for non-distributed and distributed configurations (supporting all avai | STRING |
| HIGH | ignite/distributed/auto.py | 145 | Helper method to adapt provided model for non-distributed and distributed configurations (supporting all available b | STRING |
| HIGH | ignite/distributed/auto.py | 239 | Helper method to adapt optimizer for non-distributed and distributed configurations (supporting all available backen | STRING |
| HIGH | ignite/engine/__init__.py | 70 | Factory function for supervised training. Args: model: the model to train. optimizer: the optimizer | STRING |
| HIGH | ignite/engine/__init__.py | 154 | Factory function for supervised training using ``torch.amp``. Args: model: the model to train. opti | STRING |
| HIGH | ignite/engine/__init__.py | 249 | Factory function for supervised training using apex. Args: model: the model to train. optimizer: th | STRING |
| HIGH | ignite/engine/__init__.py | 336 | Factory function for supervised training using ``torch_xla``. Args: model: the model to train. opti | STRING |
| HIGH | ignite/engine/__init__.py | 455 | Factory function for creating a trainer for supervised models. Args: model: the model to train. opt | STRING |
| HIGH | ignite/engine/engine.py | 21 | Runs a given ``process_function`` over each batch of a dataset, emitting events as it goes. Args: process_f | STRING |
| HIGH | ignite/engine/engine.py | 280 | Add an event handler to be executed when the specified event is fired. Args: event_name: An event o | STRING |
| HIGH | ignite/handlers/ema_handler.py | 29 | Exponential moving average (EMA) handler can be used to compute a smoothed version of model. The EMA model is update | STRING |
| HIGH | ignite/handlers/param_scheduler.py | 117 | Method to plot simulated scheduled values during `num_events` events. This class requires `matplotlib package < | STRING |
| HIGH | ignite/handlers/param_scheduler.py | 248 | Method to simulate scheduled values during `num_events` events. Args: num_events: number of events | STRING |
| HIGH | ignite/handlers/param_scheduler.py | 1070 | Helper method to create a learning rate scheduler with a linear warm-up. Args: lr_scheduler: learning | STRING |
| HIGH | ignite/handlers/mlflow_logger.py | 18 | `MLflow <https://mlflow.org>`_ tracking client handler to log parameters and metrics during the training and va | STRING |
| HIGH | ignite/handlers/mlflow_logger.py | 180 | Helper handler to log engine's output and/or metrics. Args: tag: common title for all produced plots. For e | STRING |
| HIGH | ignite/handlers/polyaxon_logger.py | 16 | `Polyaxon tracking client <https://polyaxon.com/>`_ handler to log parameters and metrics during the training a | STRING |
| HIGH | ignite/handlers/polyaxon_logger.py | 152 | Helper handler to log engine's output and/or metrics. Args: tag: common title for all produced plots. For e | STRING |
| HIGH | ignite/handlers/checkpoint.py | 86 | Checkpoint handler can be used to periodically save and load objects which have attribute ``state_dict/load_state_di | STRING |
| HIGH | ignite/handlers/tensorboard_logger.py | 236 | Helper handler to log engine's output, engine's state attributes and/or metrics Args: tag: common title for | STRING |
| HIGH | ignite/handlers/visdom_logger.py | 269 | Helper handler to log engine's output and/or metrics Args: tag: common title for all produced plots. For ex | STRING |
| HIGH | ignite/handlers/lr_finder.py | 395 | Attaches lr_finder to a given trainer. It also resets model and optimizer at the end of the run. Args: | STRING |
| HIGH | ignite/handlers/stores.py | 8 | EpochOutputStore handler to save output prediction and target history after every epoch, could be useful for e.g., v | STRING |
| HIGH | ignite/handlers/state_param_scheduler.py | 78 | Method to simulate scheduled engine state parameter values during `num_events` events. Args: num_ev | STRING |
| HIGH | ignite/handlers/clearml_logger.py | 230 | Helper handler to log engine's output and/or metrics Args: tag: common title for all produced plots. For ex | STRING |
| HIGH | ignite/handlers/timing.py | 10 | Timer object can be used to measure (average) time between events. Args: average: if True, then when ``.val | STRING |
| HIGH | ignite/handlers/neptune_logger.py | 216 | Helper handler to log engine's output and/or metrics. Args: tag: common title for all produced plots. For e | STRING |
| HIGH | ignite/handlers/logger_utils.py | 101 | Method to setup TensorBoard logging on trainer and a list of evaluators. Logged metrics are: - Training metrics | STRING |
| HIGH | ignite/handlers/logger_utils.py | 165 | Method to setup Visdom logging on trainer and a list of evaluators. Logged metrics are: - Training metrics, e.g | STRING |
| HIGH | ignite/handlers/logger_utils.py | 232 | Method to setup MLflow logging on trainer and a list of evaluators. Logged metrics are: - Training metrics, e.g | STRING |
| HIGH | ignite/handlers/logger_utils.py | 294 | Method to setup Neptune logging on trainer and a list of evaluators. Logged metrics are: - Training metrics, e. | STRING |
| HIGH | ignite/handlers/logger_utils.py | 356 | Method to setup WandB logging on trainer and a list of evaluators. Logged metrics are: - Training metrics, e.g. | STRING |
| HIGH | ignite/handlers/logger_utils.py | 418 | Method to setup Polyaxon logging on trainer and a list of evaluators. Logged metrics are: - Training metrics, e | STRING |
| HIGH | ignite/handlers/logger_utils.py | 480 | Method to setup ClearML logging on trainer and a list of evaluators. Logged metrics are: - Training metrics, e. | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | ignite/utils.py | 17 | __all__ = [ | CODE |
| LOW | ignite/exceptions.py | 1 | __all__ = ["NotComputableError"] | CODE |
| LOW | ignite/_utils.py | 4 | __all__ = ["apply_to_tensor", "apply_to_type", "convert_tensor", "to_onehot"] | CODE |
| LOW | ignite/metrics/mean_squared_error.py | 8 | __all__ = ["MeanSquaredError"] | CODE |
| LOW | ignite/metrics/multilabel_confusion_matrix.py | 8 | __all__ = ["MultiLabelConfusionMatrix"] | CODE |
| LOW | ignite/metrics/top_k_categorical_accuracy.py | 8 | __all__ = ["TopKCategoricalAccuracy"] | CODE |
| LOW | ignite/metrics/mutual_information.py | 7 | __all__ = ["MutualInformation"] | CODE |
| LOW | ignite/metrics/mean_absolute_error.py | 8 | __all__ = ["MeanAbsoluteError"] | CODE |
| LOW | ignite/metrics/ssim.py | 10 | __all__ = ["SSIM"] | CODE |
| LOW | ignite/metrics/recall.py | 8 | __all__ = ["Recall"] | CODE |
| LOW | ignite/metrics/fbeta.py | 10 | __all__ = ["Fbeta"] | CODE |
| LOW | ignite/metrics/root_mean_squared_error.py | 7 | __all__ = ["RootMeanSquaredError"] | CODE |
| LOW | ignite/metrics/__init__.py | 55 | __all__ = [ | CODE |
| LOW | ignite/metrics/accumulation.py | 9 | __all__ = ["VariableAccumulation", "GeometricAverage", "Average"] | CODE |
| LOW | ignite/metrics/hsic.py | 9 | __all__ = ["HSIC"] | CODE |
| LOW | ignite/metrics/metric.py | 19 | __all__ = [ | CODE |
| LOW | ignite/metrics/precision.py | 13 | __all__ = ["Precision"] | CODE |
| LOW | ignite/metrics/epoch_metric.py | 11 | __all__ = ["EpochMetric"] | CODE |
| LOW | ignite/metrics/loss.py | 8 | __all__ = ["Loss"] | CODE |
| LOW | ignite/metrics/js_divergence.py | 9 | __all__ = ["JSDivergence"] | CODE |
| LOW | ignite/metrics/cosine_similarity.py | 8 | __all__ = ["CosineSimilarity"] | CODE |
| LOW | ignite/metrics/psnr.py | 8 | __all__ = ["PSNR"] | CODE |
| LOW | ignite/metrics/running_average.py | 11 | __all__ = ["RunningAverage"] | CODE |
| LOW | ignite/metrics/metrics_lambda.py | 10 | __all__ = ["MetricsLambda"] | CODE |
| LOW | ignite/metrics/kl_divergence.py | 10 | __all__ = ["KLDivergence"] | CODE |
| LOW | ignite/metrics/accuracy.py | 8 | __all__ = ["Accuracy"] | CODE |
| LOW | ignite/metrics/mean_pairwise_distance.py | 9 | __all__ = ["MeanPairwiseDistance"] | CODE |
| LOW | ignite/metrics/confusion_matrix.py | 10 | __all__ = ["ConfusionMatrix", "mIoU", "IoU", "DiceCoefficient", "cmAccuracy", "cmPrecision", "cmRecall", "JaccardIndex"] | CODE |
| LOW | ignite/metrics/entropy.py | 9 | __all__ = ["Entropy"] | CODE |
| LOW | ignite/metrics/maximum_mean_discrepancy.py | 8 | __all__ = ["MaximumMeanDiscrepancy"] | CODE |
| LOW | ignite/metrics/classification_report.py | 12 | __all__ = ["ClassificationReport"] | CODE |
| LOW | ignite/metrics/gan/__init__.py | 4 | __all__ = [ | CODE |
| LOW | ignite/metrics/gan/fid.py | 10 | __all__ = [ | CODE |
| LOW | ignite/metrics/gan/inception_score.py | 11 | __all__ = ["InceptionScore"] | CODE |
| LOW | ignite/metrics/clustering/silhouette_score.py | 9 | __all__ = ["SilhouetteScore"] | CODE |
| LOW | ignite/metrics/clustering/davies_bouldin_score.py | 9 | __all__ = ["DaviesBouldinScore"] | CODE |
| LOW | ignite/metrics/clustering/calinski_harabasz_score.py | 9 | __all__ = ["CalinskiHarabaszScore"] | CODE |
| LOW | ignite/metrics/vision/__init__.py | 3 | __all__ = ["ObjectDetectionAvgPrecisionRecall"] | CODE |
| LOW | ignite/metrics/fairness/accuracy_difference.py | 6 | __all__ = ["SubgroupAccuracyDifference"] | CODE |
| LOW | ignite/metrics/fairness/demographic_parity.py | 9 | __all__ = ["DemographicParityDifference", "SelectionRate"] | CODE |
| LOW | ignite/metrics/fairness/base.py | 10 | __all__ = ["SubgroupMetric", "SubgroupDifference"] | CODE |
| LOW | ignite/metrics/nlp/bleu.py | 12 | __all__ = ["Bleu"] | CODE |
| LOW | ignite/metrics/nlp/perplexity.py | 9 | __all__ = ["Perplexity"] | CODE |
| LOW | ignite/metrics/nlp/rouge.py | 13 | __all__ = ["Rouge", "RougeN", "RougeL"] | CODE |
| LOW | ignite/metrics/nlp/__init__.py | 6 | __all__ = [ | CODE |
| LOW | ignite/metrics/nlp/utils.py | 5 | __all__ = ["ngrams", "lcs", "modified_precision"] | CODE |
| LOW | ignite/metrics/nlp/character_error_rate.py | 9 | __all__ = ["CharacterErrorRate"] | CODE |
| LOW | ignite/metrics/rec_sys/ndcg.py | 8 | __all__ = ["NDCG"] | CODE |
| LOW | ignite/metrics/rec_sys/__init__.py | 4 | __all__ = ["HitRate", "NDCG"] | CODE |
| LOW | ignite/metrics/rec_sys/hitrate.py | 8 | __all__ = ["HitRate"] | CODE |
| LOW | ignite/distributed/utils.py | 22 | __all__ = [ | CODE |
| LOW | ignite/distributed/utils.py | 531 | def set_local_rank(index: int) -> None: | CODE |
| LOW | ignite/distributed/utils.py | 557 | def _set_model(model: Any, temporary: bool = False) -> None: | CODE |
| LOW | ignite/distributed/launcher.py | 9 | __all__ = [ | CODE |
| LOW | ignite/distributed/auto.py | 20 | __all__ = ["auto_dataloader", "auto_model", "auto_optim", "DistributedProxySampler"] | CODE |
| LOW | ignite/distributed/comp_models/native.py | 253 | def _setup_env_in_slurm(self) -> None: | CODE |
| LOW | ignite/distributed/comp_models/base.py | 29 | def _setup_attrs(self) -> None: | CODE |
| LOW | ignite/contrib/metrics/gpu_info.py | 18 | __all__ = [ | CODE |
| LOW | ignite/contrib/metrics/roc_auc.py | 18 | __all__ = ["RocCurve", "ROC_AUC"] | CODE |
| LOW | ignite/contrib/metrics/precision_recall_curve.py | 18 | __all__ = [ | CODE |
| 62 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | ignite/handlers/mlflow_logger.py | 36 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/mlflow_logger.py | 202 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/mlflow_logger.py | 334 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/polyaxon_logger.py | 41 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/polyaxon_logger.py | 174 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/polyaxon_logger.py | 292 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/tensorboard_logger.py | 59 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/tensorboard_logger.py | 258 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/tensorboard_logger.py | 376 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/tensorboard_logger.py | 433 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/tensorboard_logger.py | 512 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/tensorboard_logger.py | 593 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/tensorboard_logger.py | 674 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/wandb_logger.py | 37 | # Create a logger. All parameters are optional. See documentation | STRING |
| MEDIUM | ignite/handlers/wandb_logger.py | 196 | # Create a logger. All parameters are optional. See documentation | STRING |
| MEDIUM | ignite/handlers/wandb_logger.py | 238 | # Create a logger. All parameters are optional. See documentation | STRING |
| MEDIUM | ignite/handlers/wandb_logger.py | 332 | # Create a logger. All parameters are optional. See documentation | STRING |
| MEDIUM | ignite/handlers/visdom_logger.py | 71 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/visdom_logger.py | 292 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/visdom_logger.py | 413 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/visdom_logger.py | 467 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/visdom_logger.py | 515 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/time_profilers.py | 24 | # Create an object of the profiler and attach an engine to it | STRING |
| MEDIUM | ignite/handlers/time_profilers.py | 478 | # Create an object of the profiler and attach an engine to it | COMMENT |
| MEDIUM | ignite/handlers/clearml_logger.py | 61 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/clearml_logger.py | 252 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/clearml_logger.py | 290 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/clearml_logger.py | 386 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/clearml_logger.py | 448 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/clearml_logger.py | 538 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/clearml_logger.py | 633 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/clearml_logger.py | 727 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/neptune_logger.py | 59 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/neptune_logger.py | 238 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/neptune_logger.py | 371 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/neptune_logger.py | 436 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/neptune_logger.py | 539 | # Create a logger | STRING |
| MEDIUM | ignite/handlers/neptune_logger.py | 637 | # Create a logger | STRING |
| MEDIUM | tests/ignite/metrics/test_confusion_matrix.py | 157 | # Create a batch of two images: | COMMENT |
| MEDIUM | tests/ignite/metrics/test_confusion_matrix.py | 162 | # Create a batch of 2 logits tensors | COMMENT |
| MEDIUM | tests/ignite/metrics/test_confusion_matrix.py | 488 | # Create a batch of two images: | COMMENT |
| MEDIUM | tests/ignite/metrics/test_confusion_matrix.py | 494 | # Create a batch of 2 logits tensors | COMMENT |
| MEDIUM | …sts/ignite/metrics/test_multilabel_confusion_matrix.py | 114 | # Create a batch of two images: | COMMENT |
| MEDIUM | …sts/ignite/metrics/test_multilabel_confusion_matrix.py | 163 | # Create a batch of two images: | COMMENT |
| MEDIUM | tests/ignite/handlers/test_clearml_logger.py | 777 | # Create a mock clearml.Logger() object | COMMENT |
| MEDIUM | tests/ignite/handlers/test_tensorboard_logger.py | 36 | # Create a mock SummaryWriter object | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | ignite/metrics/mean_squared_error.py | 0 | calculates the `root mean squared error <https://en.wikipedia.org/wiki/root-mean-square_deviation>`_. .. math:: \text{rm | STRING |
| HIGH | ignite/metrics/mean_absolute_error.py | 0 | calculates the `root mean squared error <https://en.wikipedia.org/wiki/root-mean-square_deviation>`_. .. math:: \text{rm | STRING |
| HIGH | ignite/metrics/root_mean_squared_error.py | 0 | calculates the `root mean squared error <https://en.wikipedia.org/wiki/root-mean-square_deviation>`_. .. math:: \text{rm | STRING |
| HIGH | ignite/distributed/comp_models/horovod.py | 0 | this is a private method. please, use `create_from_backend` or `create_from_context` | STRING |
| HIGH | ignite/distributed/comp_models/native.py | 0 | this is a private method. please, use `create_from_backend` or `create_from_context` | STRING |
| HIGH | ignite/distributed/comp_models/xla.py | 0 | this is a private method. please, use `create_from_backend` or `create_from_context` | STRING |
| HIGH | ignite/handlers/mlflow_logger.py | 0 | helper handler to log engine's output and/or metrics args: tag: common title for all produced plots. for example, "train | STRING |
| HIGH | ignite/handlers/polyaxon_logger.py | 0 | helper handler to log engine's output and/or metrics args: tag: common title for all produced plots. for example, "train | STRING |
| HIGH | ignite/handlers/tensorboard_logger.py | 0 | helper handler to log engine's output and/or metrics args: tag: common title for all produced plots. for example, "train | STRING |
| HIGH | ignite/handlers/visdom_logger.py | 0 | helper handler to log engine's output and/or metrics args: tag: common title for all produced plots. for example, "train | STRING |
| HIGH | ignite/handlers/clearml_logger.py | 0 | helper handler to log engine's output and/or metrics args: tag: common title for all produced plots. for example, "train | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | ignite/utils.py | 98 | CODE | |
| LOW | ignite/utils.py | 135 | CODE | |
| LOW | ignite/metrics/metric.py | 825 | CODE | |
| LOW | ignite/metrics/metric.py | 489 | CODE | |
| LOW | ignite/metrics/metric.py | 674 | CODE | |
| LOW | ignite/metrics/metric.py | 838 | CODE | |
| LOW | ignite/metrics/metric.py | 677 | CODE | |
| LOW | ignite/metrics/metric.py | 840 | CODE | |
| LOW | ignite/metrics/metrics_lambda.py | 148 | CODE | |
| LOW | ignite/metrics/metrics_lambda.py | 183 | CODE | |
| LOW | …cs/vision/object_detection_average_precision_recall.py | 136 | CODE | |
| LOW | …cs/vision/object_detection_average_precision_recall.py | 255 | CODE | |
| LOW | ignite/metrics/fairness/demographic_parity.py | 65 | CODE | |
| LOW | ignite/metrics/nlp/utils.py | 24 | CODE | |
| LOW | ignite/distributed/auto.py | 23 | CODE | |
| LOW | ignite/distributed/auto.py | 144 | CODE | |
| LOW | ignite/distributed/comp_models/native.py | 573 | CODE | |
| LOW | ignite/distributed/comp_models/base.py | 109 | CODE | |
| LOW | ignite/distributed/comp_models/base.py | 131 | CODE | |
| LOW | ignite/contrib/engines/common.py | 155 | CODE | |
| LOW | ignite/engine/deterministic.py | 202 | CODE | |
| LOW | ignite/engine/__init__.py | 409 | CODE | |
| LOW | ignite/engine/engine.py | 724 | CODE | |
| LOW | ignite/engine/engine.py | 890 | CODE | |
| LOW | ignite/engine/engine.py | 1104 | CODE | |
| LOW | ignite/engine/engine.py | 1191 | CODE | |
| LOW | ignite/engine/engine.py | 1302 | CODE | |
| LOW | ignite/engine/engine.py | 1378 | CODE | |
| LOW | ignite/handlers/param_scheduler.py | 1062 | CODE | |
| LOW | ignite/handlers/checkpoint.py | 528 | CODE | |
| LOW | ignite/handlers/lr_finder.py | 383 | CODE | |
| LOW | ignite/handlers/base_logger.py | 173 | CODE | |
| LOW | ignite/handlers/base_logger.py | 112 | CODE | |
| LOW | tests/ignite/metrics/test_classification_report.py | 144 | CODE | |
| LOW | tests/ignite/metrics/test_classification_report.py | 178 | CODE | |
| LOW | tests/ignite/metrics/test_psnr.py | 32 | CODE | |
| LOW | tests/ignite/metrics/nlp/_pyrouge.py | 129 | CODE | |
| LOW | tests/ignite/metrics/nlp/_pyrouge.py | 203 | CODE | |
| LOW | tests/ignite/metrics/nlp/_pyrouge.py | 338 | CODE | |
| LOW | tests/ignite/metrics/nlp/_pyrouge.py | 422 | CODE | |
| LOW | tests/ignite/metrics/nlp/_pyrouge.py | 513 | CODE | |
| LOW | tests/ignite/metrics/nlp/_pyrouge.py | 558 | CODE | |
| LOW | tests/ignite/metrics/nlp/_pyrouge.py | 204 | CODE | |
| LOW | tests/ignite/metrics/nlp/_pyrouge.py | 224 | CODE | |
| LOW | tests/ignite/metrics/nlp/_pyrouge.py | 249 | CODE | |
| LOW | tests/ignite/metrics/nlp/test_bleu.py | 47 | CODE | |
| LOW | tests/ignite/distributed/utils/__init__.py | 123 | CODE | |
| LOW | tests/ignite/distributed/utils/__init__.py | 227 | CODE | |
| LOW | tests/ignite/distributed/utils/__init__.py | 412 | CODE | |
| LOW | tests/ignite/engine/test_custom_events.py | 149 | CODE | |
| LOW | tests/ignite/engine/test_create_supervised.py | 184 | CODE | |
| LOW | tests/ignite/engine/test_create_supervised.py | 328 | CODE | |
| LOW | tests/ignite/handlers/test_clearml_logger.py | 851 | CODE | |
| LOW | tests/ignite/handlers/test_checkpoint.py | 1659 | CODE | |
| LOW | docs/source/conf.py | 280 | CODE | |
| LOW | examples/gan/dcgan.py | 146 | CODE | |
| LOW | examples/cifar10_qat/utils.py | 192 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | ignite/utils.py | 239 | CODE | |
| LOW | ignite/metrics/ssim.py | 78 | CODE | |
| LOW | ignite/metrics/ssim.py | 179 | CODE | |
| LOW | …cs/vision/object_detection_average_precision_recall.py | 50 | CODE | |
| LOW | …s/regression/geometric_mean_relative_absolute_error.py | 108 | CODE | |
| LOW | ignite/distributed/comp_models/native.py | 359 | CODE | |
| LOW | ignite/distributed/comp_models/base.py | 167 | CODE | |
| LOW | ignite/contrib/engines/common.py | 51 | CODE | |
| LOW | ignite/contrib/engines/common.py | 155 | CODE | |
| LOW | ignite/contrib/engines/common.py | 239 | CODE | |
| LOW | ignite/engine/deterministic.py | 119 | CODE | |
| LOW | ignite/engine/__init__.py | 141 | CODE | |
| LOW | ignite/engine/__init__.py | 440 | CODE | |
| LOW | ignite/engine/__init__.py | 759 | CODE | |
| LOW | ignite/handlers/checkpoint.py | 337 | CODE | |
| LOW | ignite/handlers/checkpoint.py | 1012 | CODE | |
| LOW | ignite/handlers/time_profilers.py | 415 | CODE | |
| LOW | tests/ignite/conftest.py | 295 | CODE | |
| LOW | tests/ignite/metrics/test_ssim.py | 106 | CODE | |
| LOW | tests/ignite/metrics/nlp/_pyrouge.py | 37 | CODE | |
| LOW | tests/ignite/engine/test_engine.py | 748 | CODE | |
| LOW | tests/ignite/engine/test_create_supervised.py | 50 | CODE | |
| LOW | tests/ignite/engine/test_create_supervised.py | 106 | CODE | |
| LOW | examples/cifar10_qat/utils.py | 129 | CODE | |
| LOW | examples/cifar10_qat/utils.py | 188 | CODE | |
| LOW | examples/cifar10_qat/main.py | 121 | CODE | |
| LOW | examples/fast_neural_style/transformer_net.py | 54 | CODE | |
| LOW | examples/fast_neural_style/transformer_net.py | 76 | CODE | |
| LOW | examples/fast_neural_style/transformer_net.py | 99 | CODE | |
| LOW | examples/fast_neural_style/vgg.py | 39 | CODE | |
| LOW | examples/transformers/model.py | 22 | CODE | |
| LOW | examples/transformers/main.py | 129 | CODE | |
| LOW | examples/siamese_network/siamese_network.py | 66 | CODE | |
| LOW | examples/cifar10/main.py | 133 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | ignite/metrics/epoch_metric.py | 142 | except Exception as e: | CODE |
| LOW | ignite/engine/engine.py | 1289 | except Exception as e: | CODE |
| LOW | ignite/engine/engine.py | 1475 | except Exception as e: | CODE |
| LOW | ignite/handlers/polyaxon_logger.py | 138 | except Exception: | CODE |
| MEDIUM | ignite/handlers/polyaxon_logger.py | 135 | def close(self) -> None: | CODE |
| LOW | tests/ignite/handlers/test_neptune_logger.py | 546 | except Exception: | CODE |
| LOW | tests/ignite/handlers/test_checkpoint.py | 645 | except Exception: | CODE |
| LOW | examples/mnist/mnist_save_resume_engine.py | 268 | except Exception as e: | CODE |
| LOW | examples/cifar10_qat/main.py | 113 | except Exception as e: | CODE |
| LOW | examples/references/classification/imagenet/main.py | 322 | except Exception as e: # noqa | CODE |
| LOW | examples/references/classification/imagenet/main.py | 421 | except Exception as e: # noqa | CODE |
| LOW | examples/references/segmentation/pascal_voc2012/main.py | 359 | except Exception as e: # noqa | CODE |
| LOW | examples/references/segmentation/pascal_voc2012/main.py | 465 | except Exception as e: # noqa | CODE |
| LOW | examples/transformers/main.py | 121 | except Exception as e: | CODE |
| LOW | examples/cifar10/main.py | 125 | except Exception as e: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | ignite/handlers/mlflow_logger.py | 121 | COMMENT | |
| LOW | ignite/handlers/tensorboard_logger.py | 181 | COMMENT | |
| LOW | tests/ignite/metrics/test_metric.py | 1301 | # class _TestMetric(Metric): | COMMENT |
| LOW | …sts/ignite/metrics/test_multilabel_confusion_matrix.py | 361 | predictions_reshaped = predictions.permute(0, 1, 3, 4, 5, 2).reshape(-1, num_classes) | COMMENT |
| LOW | …sts/ignite/metrics/test_multilabel_confusion_matrix.py | 381 | # _test_distrib_multiclass_images(device) | COMMENT |
| LOW | …sts/ignite/metrics/test_multilabel_confusion_matrix.py | 401 | # | COMMENT |
| LOW | …sts/ignite/metrics/test_multilabel_confusion_matrix.py | 421 | # device = idist.device() | COMMENT |
| LOW | docs/source/conf.py | 1 | # -*- coding: utf-8 -*- | COMMENT |
| LOW | docs/source/conf.py | 81 | # katex options | COMMENT |
| LOW | docs/source/conf.py | 161 | # -- Options for HTMLHelp output --------------------------------------------- | COMMENT |
| LOW | .github/workflows/triage.yml | 21 | repo-token: "${{ secrets.GITHUB_TOKEN }}" | COMMENT |
| LOW | .github/workflows/unit-tests.yml | 121 | - name: Run MNIST Examples | COMMENT |
| LOW | .github/workflows/pytorch-version-tests.yml | 81 | # filename: .github/failed_schedule_issue_template.md | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | ignite/metrics/clustering/davies_bouldin_score.py | 39 | (i.e., the index is undefined), ``float('nan')`` is returned. | CODE |
| HIGH | ignite/metrics/clustering/calinski_harabasz_score.py | 39 | (i.e., the index is undefined), ``float('nan')`` is returned. | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | ignite/engine/engine.py | 975 | # Check if we need to create new state or resume | COMMENT |
| LOW | ignite/handlers/lr_finder.py | 191 | # Check if the loss has diverged; if it has, stop the trainer | COMMENT |
| LOW | ignite/handlers/lr_finder.py | 303 | # Check if optimizer has multiple param_groups | COMMENT |
| LOW | tests/ignite/handlers/test_tensorboard_logger.py | 658 | # Check if event files are present | COMMENT |
| LOW | tests/ignite/handlers/test_tensorboard_logger.py | 685 | # Check if event files are present | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | ignite/handlers/neptune_logger.py | 239 | # We are using the api_token for the anonymous user neptuner but you can use your own. | STRING |
| MEDIUM | ignite/handlers/neptune_logger.py | 280 | # We are using the api_token for the anonymous user neptuner but you can use your own. | STRING |
| MEDIUM | ignite/handlers/neptune_logger.py | 372 | # We are using the api_token for the anonymous user neptuner but you can use your own. | STRING |
| MEDIUM | ignite/handlers/neptune_logger.py | 437 | # We are using the api_token for the anonymous user neptuner but you can use your own. | STRING |
| MEDIUM | ignite/handlers/neptune_logger.py | 540 | # We are using the api_token for the anonymous user neptuner but you can use your own. | STRING |
| MEDIUM | ignite/handlers/neptune_logger.py | 638 | # We are using the api_token for the anonymous user neptuner but you can use your own. | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | examples/gan/dcgan.py | 249 | # ----------------------------------------------------------- | COMMENT |
| MEDIUM | examples/gan/dcgan.py | 275 | # ----------------------------------------------------------- | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | tests/ignite/handlers/test_time_profilers.py | 149 | dummy_data = range(true_num_iters) | CODE |
| LOW | tests/ignite/handlers/test_time_profilers.py | 154 | dummy_trainer.run(dummy_data_loader(dummy_data), max_epochs=true_max_epochs, epoch_length=true_num_iters) | CODE |
| LOW | tests/ignite/handlers/test_time_profilers.py | 176 | dummy_data = range(true_num_iters) | CODE |
| LOW | tests/ignite/handlers/test_time_profilers.py | 181 | dummy_trainer.run(dummy_data_loader(dummy_data), max_epochs=true_max_epochs, epoch_length=true_num_iters) | CODE |