Index

_

__getitem__() (pynas.core.population.Population method) __init__() (pynas.blocks.convolutions.ConvAct method), [1] (pynas.blocks.convolutions.ConvBnAct method), [1] (pynas.blocks.convolutions.ConvSE method), [1] (pynas.blocks.convolutions.CSPConvBlock method), [1] (pynas.blocks.convolutions.CSPMBConvBlock method), [1] (pynas.blocks.convolutions.DenseNetBlock method), [1] (pynas.blocks.convolutions.MBConv method), [1] (pynas.blocks.convolutions.MBConvNoRes method), [1] (pynas.blocks.convolutions.ResNetBasicBlock method), [1] (pynas.blocks.convolutions.ResNetBlock method), [1] (pynas.blocks.convolutions.SEBlock method), [1] (pynas.blocks.convolutions.Upsample method), [1] (pynas.blocks.heads.Classifier method), [1] (pynas.blocks.heads.Dropout method), [1] (pynas.blocks.heads.MultiInputClassifier method), [1] (pynas.blocks.Lambda method) (pynas.blocks.pooling.AvgPool method), [1] (pynas.blocks.pooling.MaxPool method), [1] (pynas.blocks.residual.InputForward method), [1] (pynas.blocks.residual.Residual method), [1] (pynas.blocks.residual.ResidualAdd method), [1] (pynas.core.generic_lightning_module.GenericLightningNetwork method) (pynas.core.generic_lightning_module.GenericLightningNetwork_Custom method) (pynas.core.generic_lightning_module.GenericLightningSegmentationNetwork method) (pynas.core.generic_unet.GenericUNetNetwork method), [1] (pynas.core.generic_unet.UNetDecoder method) (pynas.core.individual.Individual method), [1] (pynas.core.population.Population method) (pynas.train.losses.CategoricalCrossEntropyLoss method) (pynas.train.losses.FocalLoss method) (pynas.train.mean_squared_error.MeanSquaredError method) (pynas.train.myFit.FitnessEvaluator method)

__len__() (pynas.core.population.Population method) __str__() (pynas.core.individual.Individual method) _build_decoder() (pynas.core.generic_unet.GenericUNetNetwork method) _build_encoder() (pynas.core.generic_unet.GenericUNetNetwork method) _common_step() (pynas.core.generic_lightning_module.GenericLightningSegmentationNetwork method) _encoder_shapes_tracing() (pynas.core.generic_unet.GenericUNetNetwork method) _reparse_layers() (pynas.core.individual.Individual method)

A

add() (in module pynas.blocks.residual), [1]

architecture2chromosome() (pynas.core.individual.Individual method), [1] AvgPool (class in pynas.blocks.pooling), [1]

B

build_head() (pynas.blocks.heads.Classifier method), [1]

build_layer() (in module pynas.core.generic_unet) build_model() (pynas.core.population.Population method)

C

calculate_iou() (in module pynas.train.custom_iou) Cat2d (in module pynas.blocks.residual) CategoricalCrossEntropyLoss (class in pynas.train.losses) ce_loss() (in module pynas.core.generic_lightning_module) check_individual() (pynas.core.population.Population method) chromosome (pynas.core.individual.Individual attribute) chromosome2architecture() (pynas.core.individual.Individual method), [1] Classifier (class in pynas.blocks.heads), [1] classifier (pynas.blocks.heads.MultiInputClassifier attribute), [1] compute() (pynas.train.mean_squared_error.MeanSquaredError method) configure_optimizers() (pynas.core.generic_lightning_module.GenericLightningNetwork method) (pynas.core.generic_lightning_module.GenericLightningNetwork_Custom method) (pynas.core.generic_lightning_module.GenericLightningSegmentationNetwork method), [1]

conv_blocks (pynas.core.generic_unet.UNetDecoder attribute) ConvAct (class in pynas.blocks.convolutions), [1] ConvBnAct (class in pynas.blocks.convolutions), [1] ConvSE (class in pynas.blocks.convolutions), [1] copy() (pynas.core.individual.Individual method), [1] create_population() (pynas.core.population.Population method) create_random_individual() (pynas.core.population.Population method) CSPConvBlock (class in pynas.blocks.convolutions), [1] CSPMBConvBlock (class in pynas.blocks.convolutions), [1]

D

DenseNetBlock (class in pynas.blocks.convolutions), [1]

Dropout (class in pynas.blocks.heads), [1] dummy_test() (pynas.blocks.heads.Classifier method), [1]

E

elite_models() (pynas.core.population.Population method) encoder_forward() (pynas.core.generic_unet.GenericUNetNetwork method), [1]

evaluate_parameters() (pynas.core.population.Population method) evolve() (pynas.core.population.Population method)

F

fitness (pynas.core.individual.Individual attribute) FitnessEvaluator (class in pynas.train.myFit) flatten (pynas.blocks.heads.MultiInputClassifier attribute), [1] FocalLoss (class in pynas.train.losses) forward() (pynas.blocks.activations.GELU method), [1] (pynas.blocks.activations.ReLU method), [1] (pynas.blocks.activations.Sigmoid method), [1] (pynas.blocks.activations.Softmax method), [1] (pynas.blocks.convolutions.CSPConvBlock method), [1] (pynas.blocks.convolutions.CSPMBConvBlock method), [1] (pynas.blocks.convolutions.DenseNetBlock method), [1] (pynas.blocks.convolutions.MBConv method), [1] (pynas.blocks.convolutions.MBConvNoRes method), [1] (pynas.blocks.convolutions.ResNetBasicBlock method), [1] (pynas.blocks.convolutions.ResNetBlock method), [1] (pynas.blocks.convolutions.SEBlock method), [1] (pynas.blocks.convolutions.Upsample method), [1] (pynas.blocks.heads.Classifier method), [1] (pynas.blocks.heads.Dropout method), [1] (pynas.blocks.heads.MultiInputClassifier method), [1] (pynas.blocks.Lambda method) (pynas.blocks.residual.InputForward method), [1] (pynas.blocks.residual.Residual method), [1] (pynas.core.generic_lightning_module.GenericLightningNetwork method) (pynas.core.generic_lightning_module.GenericLightningNetwork_Custom method) (pynas.core.generic_lightning_module.GenericLightningSegmentationNetwork method), [1] (pynas.core.generic_unet.GenericUNetNetwork method), [1] (pynas.core.generic_unet.UNetDecoder method), [1] (pynas.train.losses.CategoricalCrossEntropyLoss method) (pynas.train.losses.FocalLoss method)

fps (pynas.core.individual.Individual attribute)

G

GELU (class in pynas.blocks.activations), [1] gene_mutation() (in module pynas.opt.evo), [1] generate_code_from_parsed_architecture() (in module pynas.core.architecture_builder) generate_layer_code() (in module pynas.core.architecture_builder) generate_pooling_layer_code() (in module pynas.core.architecture_builder) generate_random_architecture_code() (in module pynas.core.architecture_builder) generate_skip_connection_code() (in module pynas.core.architecture_builder)

generate_upsampling_layer_code() (in module pynas.core.architecture_builder) GenericLightningNetwork (class in pynas.core.generic_lightning_module) GenericLightningNetwork_Custom (class in pynas.core.generic_lightning_module) GenericLightningSegmentationNetwork (class in pynas.core.generic_lightning_module) GenericUNetNetwork (class in pynas.core.generic_unet) get_activation_fn() (pynas.core.generic_unet.GenericUNetNetwork method) (pynas.core.generic_unet.GenericUNetNetwork static method)

I

Individual (class in pynas.core.individual) initial_poll() (pynas.core.population.Population method) InputForward (class in pynas.blocks.residual), [1]

inverse_mcc_penalty() (pynas.train.myFit.FitnessEvaluator method) iou (pynas.core.generic_lightning_module.GenericLightningSegmentationNetwork attribute) (pynas.core.individual.Individual attribute)

L

Lambda (class in pynas.blocks) learning_rate (pynas.core.generic_lightning_module.GenericLightningSegmentationNetwork attribute) list_convolution_layers() (in module pynas.core.generic_unet)

load_dataframe() (pynas.core.population.Population method) load_population() (pynas.core.population.Population method) logarithmic_penalty() (pynas.train.myFit.FitnessEvaluator method) loss_fn (pynas.core.generic_lightning_module.GenericLightningSegmentationNetwork attribute)

M

MaxPool (class in pynas.blocks.pooling), [1] MBConv (class in pynas.blocks.convolutions), [1] MBConvNoRes (class in pynas.blocks.convolutions), [1] MeanSquaredError (class in pynas.train.mean_squared_error) metric (pynas.core.individual.Individual attribute) model (pynas.core.individual.Individual attribute) model_size (pynas.core.individual.Individual attribute) module pynas.blocks.activations pynas.blocks.convolutions pynas.blocks.heads pynas.blocks.pooling pynas.blocks.residual pynas.core.architecture_builder pynas.core.generic_lightning_module pynas.core.generic_unet pynas.core.individual pynas.core.population pynas.core.vocabulary pynas.opt.evo pynas.train.custom_iou pynas.train.losses pynas.train.mean_squared_error pynas.train.my_early_stopping pynas.train.myFit

mse (pynas.core.generic_lightning_module.GenericLightningSegmentationNetwork attribute) MultiInputClassifier (class in pynas.blocks.heads), [1] multiplicative_penalty() (pynas.train.myFit.FitnessEvaluator method)

O

on_test_end() (pynas.core.generic_lightning_module.GenericLightningNetwork method) (pynas.core.generic_lightning_module.GenericLightningNetwork_Custom method) on_train_epoch_end() (pynas.train.my_early_stopping.TrainEarlyStopping method)

on_train_start() (pynas.core.generic_lightning_module.GenericLightningNetwork_Custom method) on_validation_end() (pynas.train.my_early_stopping.TrainEarlyStopping method) out_conv (pynas.core.generic_unet.UNetDecoder attribute)

P

parse_architecture_code() (in module pynas.core.architecture_builder) parse_conv_params() (in module pynas.core.generic_unet) parsed_layers (pynas.core.individual.Individual attribute) Population (class in pynas.core.population) predict_step() (pynas.core.generic_lightning_module.GenericLightningNetwork method) (pynas.core.generic_lightning_module.GenericLightningNetwork_Custom method) (pynas.core.generic_lightning_module.GenericLightningSegmentationNetwork method), [1] projections (pynas.blocks.heads.MultiInputClassifier attribute), [1] pynas.blocks.activations module pynas.blocks.convolutions module pynas.blocks.heads module pynas.blocks.pooling module pynas.blocks.residual module pynas.core.architecture_builder module pynas.core.generic_lightning_module module

pynas.core.generic_unet module pynas.core.individual module pynas.core.population module pynas.core.vocabulary module pynas.opt.evo module pynas.train.custom_iou module pynas.train.losses module pynas.train.mean_squared_error module pynas.train.my_early_stopping module pynas.train.myFit module

R

rebound_metrics() (pynas.train.myFit.FitnessEvaluator static method) ReLU (class in pynas.blocks.activations), [1] remove_duplicates() (pynas.core.population.Population method) reset() (pynas.core.individual.Individual method), [1]

Residual (class in pynas.blocks.residual), [1] ResidualAdd (class in pynas.blocks.residual), [1] ResNetBasicBlock (class in pynas.blocks.convolutions), [1] ResNetBlock (class in pynas.blocks.convolutions), [1]

S

save_dataframe() (pynas.core.population.Population method) save_model() (pynas.core.population.Population method) save_population() (pynas.core.population.Population method) SEBlock (class in pynas.blocks.convolutions), [1] set_trained_model() (pynas.core.individual.Individual method), [1]

setup_logger() (pynas.core.population.Population static method) Sigmoid (class in pynas.blocks.activations), [1] single_point_crossover() (in module pynas.opt.evo), [1] Softmax (class in pynas.blocks.activations), [1] stepwise_penalty() (pynas.train.myFit.FitnessEvaluator method)

T

test_step() (pynas.core.generic_lightning_module.GenericLightningNetwork method) (pynas.core.generic_lightning_module.GenericLightningNetwork_Custom method) (pynas.core.generic_lightning_module.GenericLightningSegmentationNetwork method), [1] total_input_dim (pynas.blocks.heads.MultiInputClassifier attribute), [1] train_generation() (pynas.core.population.Population method)

train_individual() (pynas.core.population.Population method) TrainEarlyStopping (class in pynas.train.my_early_stopping) training_step() (pynas.core.generic_lightning_module.GenericLightningNetwork method) (pynas.core.generic_lightning_module.GenericLightningNetwork_Custom method) (pynas.core.generic_lightning_module.GenericLightningSegmentationNetwork method), [1]

U

UNetDecoder (class in pynas.core.generic_unet) up_convs (pynas.core.generic_unet.UNetDecoder attribute)

update() (pynas.train.mean_squared_error.MeanSquaredError method) update_config_path() (in module pynas.core.population) Upsample (class in pynas.blocks.convolutions), [1]

V

validation_step() (pynas.core.generic_lightning_module.GenericLightningNetwork method) (pynas.core.generic_lightning_module.GenericLightningNetwork_Custom method) (pynas.core.generic_lightning_module.GenericLightningSegmentationNetwork method), [1]

W

weighted_sum_exponential() (pynas.train.myFit.FitnessEvaluator method)