Index

A

ActivationsFiltered (class in dnn_cool.activations) ActivationVisitor (class in dnn_cool.activations) add_to_composite() (dnn_cool.modules.CompositeModuleOutput method) (dnn_cool.modules.LeafModuleOutput method) aggregate_device_result() (dnn_cool.losses.DeviceReducingCache method)

aggregate_device_results() (dnn_cool.losses.DeviceReducingCache method) all_correct() (in module dnn_cool.missing_values) AndCondition (class in dnn_cool.modules) any_value() (in module dnn_cool.utils) args_are_dicts() (in module dnn_cool.losses) assert_col_in_df() (in module dnn_cool.converters)

B

BaseMetricDecorator (class in dnn_cool.losses) binary_value_converter() (in module dnn_cool.value_converters) BinaryAccuracy (class in dnn_cool.metrics) BinaryDecoder (class in dnn_cool.decoders)

BinaryF1Score (class in dnn_cool.metrics) BinaryPrecision (class in dnn_cool.metrics) BinaryRecall (class in dnn_cool.metrics) bind_to_task() (dnn_cool.metrics.TorchMetric method) BoundedRegressionDecoder (class in dnn_cool.decoders)

C

catalyst_callbacks() (dnn_cool.losses.TaskFlowCriterion method) check_if_should_divide() (in module dnn_cool.utils) check_if_should_transpose() (in module dnn_cool.utils) classification_converter() (in module dnn_cool.value_converters) ClassificationAccuracy (class in dnn_cool.metrics) ClassificationDecoder (class in dnn_cool.decoders) ClassificationF1Score (class in dnn_cool.metrics) ClassificationNumpyMetric (class in dnn_cool.metrics) ClassificationPrecision (class in dnn_cool.metrics) ClassificationRecall (class in dnn_cool.metrics) close() (dnn_cool.catalyst_utils.TensorboardConverters method) col_mapping (dnn_cool.catalyst_utils.TensorboardConverter attribute) col_to_type_mapping (dnn_cool.catalyst_utils.TensorboardConverter attribute) CompositeActivation (class in dnn_cool.activations) CompositeDecoder (class in dnn_cool.decoders) CompositeModuleOutput (class in dnn_cool.modules) CompositeVisitor (class in dnn_cool.visitors)

compute_device_metrics() (in module dnn_cool.catalyst_utils) compute_leaf_losses() (in module dnn_cool.catalyst_utils) compute_metrics() (dnn_cool.evaluation.EvaluationVisitor method) compute_per_sample_losses() (in module dnn_cool.catalyst_utils) compute_with_precondition() (dnn_cool.losses.BaseMetricDecorator method) Condition (class in dnn_cool.modules) connect_to_stats_registry() (dnn_cool.converters.Converters method) (dnn_cool.converters.StatefulConverter method) Converters (class in dnn_cool.converters) create() (dnn_cool.task_converters.EfficientNetHead static method) create_evaluation_record() (dnn_cool.evaluation.EvaluationVisitor method) create_inputs_and_leaf_tasks_from_df() (dnn_cool.converters.Converters method) create_leaf_task() (dnn_cool.converters.Converters method) create_leaf_tasks() (dnn_cool.converters.Converters method) create_supplier() (dnn_cool.task_converters.EfficientNetHead static method) create_task_flow_for_development() (dnn_cool.converters.Converters method) create_values() (dnn_cool.converters.Converters method) CriterionFlowData (class in dnn_cool.losses)

D

DecodedData (class in dnn_cool.decoders) Decoder (class in dnn_cool.decoders) DecodingVisitor (class in dnn_cool.decoders) default_leaf_tree_explainer() (in module dnn_cool.treelib) default_tensorboard_type_mapping() (in module dnn_cool.catalyst_utils) DeviceReducingCache (class in dnn_cool.losses) DeviceReducingDataParallel (class in dnn_cool.catalyst_utils) discover_index_holder() (in module dnn_cool.datasets) discover_metric_keys() (dnn_cool.losses.DeviceReducingCache method) dnn_cool (module) dnn_cool.activations (module) dnn_cool.catalyst_utils (module) dnn_cool.converters (module) dnn_cool.datasets (module) dnn_cool.decoders (module) dnn_cool.dsl (module)

dnn_cool.evaluation (module) dnn_cool.filter (module) dnn_cool.losses (module) dnn_cool.metrics (module) dnn_cool.missing_values (module) dnn_cool.modules (module) dnn_cool.task_converters (module) dnn_cool.treelib (module) dnn_cool.tuners (module) dnn_cool.utils (module) dnn_cool.value_converters (module) dnn_cool.visitors (module) dump_state_to_directory() (dnn_cool.converters.Converters method) (dnn_cool.converters.StatefulConverter method) (dnn_cool.converters.TypeGuesser method) dump_state_to_directory_when_possible() (in module dnn_cool.converters)

E

EfficientNetHead (class in dnn_cool.task_converters) empty_precondition_result() (dnn_cool.metrics.ClassificationAccuracy method) empty_result() (dnn_cool.activations.ActivationVisitor method) (dnn_cool.decoders.DecodingVisitor method) (dnn_cool.evaluation.EvaluationVisitor method) (dnn_cool.filter.FilterVisitor method) (dnn_cool.tuners.TuningVisitor method) (dnn_cool.visitors.LeafVisitor method)

EvaluationCompositeVisitor (class in dnn_cool.evaluation) EvaluationResults (class in dnn_cool.evaluation) EvaluationVisitor (class in dnn_cool.evaluation) extract_state_when_possible() (in module dnn_cool.converters)

F

FeaturesDict (class in dnn_cool.modules) FilterCompositeVisitor (class in dnn_cool.filter) FilterParams (class in dnn_cool.filter) FilterVisitor (class in dnn_cool.filter) find_arg_with_gt() (in module dnn_cool.modules) find_gt_and_process_args_when_training() (in module dnn_cool.modules) find_results_for_treelib() (in module dnn_cool.treelib) FlowDataset (class in dnn_cool.datasets) FlowDatasetDecorator (class in dnn_cool.datasets) FlowDatasetDict (class in dnn_cool.datasets) FlowDatasetPrecondition (class in dnn_cool.datasets) forward() (dnn_cool.losses.BaseMetricDecorator method) (dnn_cool.losses.LanguageModelCrossEntropyLoss method) (dnn_cool.losses.ReducedPerSample method) (dnn_cool.losses.TaskFlowCriterion method) (dnn_cool.losses.TaskFlowLossPerSample method) (dnn_cool.modules.Identity method) (dnn_cool.modules.ModuleDecorator method) (dnn_cool.modules.SigmoidAndMSELoss method) (dnn_cool.modules.TaskFlowModule method)

from_args() (dnn_cool.losses.CriterionFlowData class method) full_result() (dnn_cool.activations.ActivationVisitor method) (dnn_cool.decoders.DecodingVisitor method) (dnn_cool.evaluation.EvaluationVisitor method) (dnn_cool.filter.FilterVisitor method) (dnn_cool.tuners.TuningVisitor method) (dnn_cool.visitors.LeafVisitor method)

G

gather() (dnn_cool.catalyst_utils.DeviceReducingDataParallel method) get_default_binary_metrics() (in module dnn_cool.metrics) get_default_bounded_regression_metrics() (in module dnn_cool.metrics) get_default_classification_metrics() (in module dnn_cool.metrics) get_default_multilabel_classification_metrics() (in module dnn_cool.metrics) get_device_reduced_ctx() (dnn_cool.losses.TaskFlowCriterion method) get_leaf_losses() (dnn_cool.losses.TaskFlowCriterion method) get_leaf_losses_per_sample() (dnn_cool.losses.TaskFlowLossPerSample method) get_metrics() (dnn_cool.losses.TaskFlowCriterion method)

get_precondition() (dnn_cool.modules.AndCondition method) (dnn_cool.modules.Condition method) (dnn_cool.modules.LeafCondition method) (dnn_cool.modules.NegatedCondition method) (dnn_cool.modules.NestedCondition method) (dnn_cool.modules.OnesCondition method) get_visitor_data() (in module dnn_cool.visitors) guess() (dnn_cool.converters.TypeGuesser method) GuidedGradCamPublisher (class in dnn_cool.catalyst_utils)

H

handle_empty_precondition() (dnn_cool.losses.BaseMetricDecorator method)

I

ICondition (class in dnn_cool.dsl) Identity (class in dnn_cool.modules) IFeaturesDict (class in dnn_cool.dsl) IFlowTask (class in dnn_cool.dsl) IFlowTaskResult (class in dnn_cool.dsl) ImageCoordinatesValuesConverter (class in dnn_cool.value_converters) ImageNetNormalizer (class in dnn_cool.utils) ImagesFromFileSystem (class in dnn_cool.value_converters)

ImagesFromFileSystemConverter (class in dnn_cool.value_converters) img_publisher() (in module dnn_cool.catalyst_utils) IModuleOutput (class in dnn_cool.modules) in_features_dict (dnn_cool.task_converters.EfficientNetHead attribute) IndexHolder (class in dnn_cool.datasets) initialize() (dnn_cool.catalyst_utils.TensorboardConverters method) InterpretationCallback (class in dnn_cool.catalyst_utils) IOut (class in dnn_cool.dsl) ITensorboardPublisher (class in dnn_cool.catalyst_utils)

L

LanguageModelCrossEntropyLoss (class in dnn_cool.losses) LeafCondition (class in dnn_cool.modules) LeafExplainer (class in dnn_cool.treelib) LeafModuleOutput (class in dnn_cool.modules) LeafVisitor (class in dnn_cool.visitors) load_model_from_export() (in module dnn_cool.utils) load_state_dict() (dnn_cool.value_converters.MultiLabelValuesConverter method) load_state_from_directory() (dnn_cool.converters.Converters method) (dnn_cool.converters.StatefulConverter method) (dnn_cool.converters.TypeGuesser method) load_state_from_directory_when_possible() (in module dnn_cool.converters)

load_tuned() (dnn_cool.decoders.BinaryDecoder method) (dnn_cool.decoders.BoundedRegressionDecoder method) (dnn_cool.decoders.ClassificationDecoder method) (dnn_cool.decoders.Decoder method) (dnn_cool.decoders.MultilabelClassificationDecoder method) (dnn_cool.decoders.NoOpDecoder method) (dnn_cool.decoders.TaskFlowDecoder method) (dnn_cool.evaluation.EvaluationCompositeVisitor method) (dnn_cool.filter.FilterCompositeVisitor method) (dnn_cool.modules.TaskFlowModule method) (dnn_cool.tuners.TunerVisitor method) LossItems (class in dnn_cool.losses)

M

MeanAbsoluteError (class in dnn_cool.metrics) metric_fn (dnn_cool.catalyst_utils.SingleLossInterpretationCallback attribute) ModuleDecorator (class in dnn_cool.modules)

MultiLabelClassificationAccuracy (class in dnn_cool.metrics) MultilabelClassificationDecoder (class in dnn_cool.decoders) MultiLabelValuesConverter (class in dnn_cool.value_converters)

N

name (dnn_cool.converters.Converters attribute) NegatedCondition (class in dnn_cool.modules) NestedCondition (class in dnn_cool.modules)

NoOpDecoder (class in dnn_cool.decoders) not_found_error_message() (in module dnn_cool.converters) NumpyMetric (class in dnn_cool.metrics)

O

on_batch_end() (dnn_cool.catalyst_utils.InterpretationCallback method) (dnn_cool.catalyst_utils.SingleLossInterpretationCallback method) on_loader_end() (dnn_cool.catalyst_utils.InterpretationCallback method) (dnn_cool.catalyst_utils.SingleLossInterpretationCallback method) on_loader_start() (dnn_cool.catalyst_utils.InterpretationCallback method) (dnn_cool.catalyst_utils.ReplaceGatherCallback method) (dnn_cool.catalyst_utils.SingleLossInterpretationCallback method)

on_stage_end() (dnn_cool.catalyst_utils.InterpretationCallback method) on_stage_start() (dnn_cool.catalyst_utils.ReplaceGatherCallback method) OnesCondition (class in dnn_cool.modules)

P

positive_values() (in module dnn_cool.missing_values) postprocess_results() (dnn_cool.losses.BaseMetricDecorator method) (dnn_cool.losses.TaskCriterionDecorator method) Precondition (class in dnn_cool.treelib) preconditioned_result() (dnn_cool.activations.ActivationVisitor method) (dnn_cool.decoders.DecodingVisitor method) (dnn_cool.evaluation.EvaluationVisitor method) (dnn_cool.filter.FilterVisitor method) (dnn_cool.tuners.TuningVisitor method) (dnn_cool.visitors.LeafVisitor method)

prepare_interpretations() (dnn_cool.catalyst_utils.InterpretationCallback method) publish() (dnn_cool.catalyst_utils.TensorboardConverters method) publish_all() (in module dnn_cool.catalyst_utils)

R

read_inputs() (dnn_cool.converters.Converters method) reduce() (dnn_cool.activations.ActivationsFiltered method) (dnn_cool.decoders.DecodedData method) (dnn_cool.evaluation.EvaluationResults method) (dnn_cool.filter.FilterParams method) (dnn_cool.modules.CompositeModuleOutput method) (dnn_cool.tuners.TunedParams method) (dnn_cool.visitors.VisitorOut method)

reduce_on_device() (in module dnn_cool.catalyst_utils) ReducedPerSample (class in dnn_cool.losses) ReplaceGatherCallback (class in dnn_cool.catalyst_utils) reset_device_reducing_tasks() (dnn_cool.catalyst_utils.DeviceReducingDataParallel method) Results (class in dnn_cool.treelib) RootCompositeVisitor (class in dnn_cool.visitors)

S

select_gt() (in module dnn_cool.modules) should_skip_loader() (in module dnn_cool.catalyst_utils) SigmoidAndMSELoss (class in dnn_cool.modules) SingleLossInterpretationCallback (class in dnn_cool.catalyst_utils) sort_declining() (in module dnn_cool.decoders) split_dataset() (in module dnn_cool.utils)

squeeze_if_needed() (in module dnn_cool.losses) state_dict() (dnn_cool.converters.Converters method) (dnn_cool.converters.StatefulConverter method) (dnn_cool.converters.TypeGuesser method) (dnn_cool.value_converters.MultiLabelValuesConverter method) StatefulConverter (class in dnn_cool.converters)

T

TaskConverter (class in dnn_cool.converters) TaskCriterionDecorator (class in dnn_cool.losses) TaskFlowCriterion (class in dnn_cool.losses) TaskFlowDecoder (class in dnn_cool.decoders) TaskFlowLossPerSample (class in dnn_cool.losses) TaskFlowModule (class in dnn_cool.modules) TensorboardConverter (class in dnn_cool.catalyst_utils) TensorboardConverters (class in dnn_cool.catalyst_utils) TensorDict (class in dnn_cool.datasets) text_publisher() (in module dnn_cool.catalyst_utils) threshold_binary() (in module dnn_cool.decoders) To (class in dnn_cool.task_converters) to_broadcastable_shape() (in module dnn_cool.utils) to_broadcastable_smaller() (in module dnn_cool.utils) to_dict() (dnn_cool.datasets.FlowDatasetDict method) to_mask() (dnn_cool.modules.AndCondition method) (dnn_cool.modules.Condition method) (dnn_cool.modules.LeafCondition method) (dnn_cool.modules.NegatedCondition method) (dnn_cool.modules.NestedCondition method) (dnn_cool.modules.OnesCondition method)

to_task() (dnn_cool.converters.TaskConverter method) to_values() (dnn_cool.converters.ValuesConverter method) ToEfficient (class in dnn_cool.task_converters) top_k (dnn_cool.catalyst_utils.TensorboardConverters attribute) torch_split_dataset() (in module dnn_cool.utils) TorchMetric (class in dnn_cool.metrics) train_test_val_split() (in module dnn_cool.utils) TransformedSubset (class in dnn_cool.utils) TreeExplainer (class in dnn_cool.treelib) TreeExplanation (class in dnn_cool.treelib) tune() (dnn_cool.decoders.BinaryDecoder method) (dnn_cool.decoders.BoundedRegressionDecoder method) (dnn_cool.decoders.ClassificationDecoder method) (dnn_cool.decoders.Decoder method) (dnn_cool.decoders.MultilabelClassificationDecoder method) (dnn_cool.decoders.NoOpDecoder method) (dnn_cool.decoders.TaskFlowDecoder method) TunedParams (class in dnn_cool.tuners) TunerVisitor (class in dnn_cool.tuners) TuningVisitor (class in dnn_cool.tuners) type_mapping (dnn_cool.catalyst_utils.TensorboardConverter attribute) TypeGuesser (class in dnn_cool.converters)

V

Values (class in dnn_cool.utils) ValuesConverter (class in dnn_cool.converters)

VisitorData (class in dnn_cool.visitors) VisitorOut (class in dnn_cool.visitors)