Index

A

AdamOptimizer (class in HeteroSymNN.Core.optimizers)

B

BackendArray (class in HeteroSymNN.types) backward() (HeteroSymNN.Core.losses.FlexibleLoss method) (HeteroSymNN.Core.losses.Loss method) (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN method) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN method) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN method) BaseInitializer (class in HeteroSymNN.Core.initializers)

batch_size (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN attribute) BATCH_SIZE (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN property) batch_size (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN attribute) BATCH_SIZE (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN property) batch_size (HeteroSymNN.Core.Nets.neural_nets.SimpleNN attribute) BATCH_SIZE (HeteroSymNN.Core.Nets.neural_nets.SimpleNN property) BinaryCrossEntropy (class in HeteroSymNN.Core.losses)

C

change_constants() (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN method) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN method) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN method) change_device() (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN method) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN method) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN method) clear_kernel_cache() (in module HeteroSymNN.Backend.hardware) COMPILER (HeteroSymNN.Core.losses.FlexibleLoss property) COMPUTATIONAL_METHOD (HeteroSymNN.Core.losses.FlexibleLoss property) (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN property) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN property) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN property)

ConfigurableNN (class in HeteroSymNN.Core.Nets.neural_nets) ConstantToUpdate (class in HeteroSymNN.types) CPP_INSTALLED_COMPILER (in module HeteroSymNN.Backend.hardware) CPP_JIT_ENABLED (in module HeteroSymNN.Backend.hardware) CURRENT_DEVICE (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN property) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN property) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN property)

D

DEFAULT_COMPUTE_METHOD (in module HeteroSymNN.Backend.hardware)

F

FlexibleLoss (class in HeteroSymNN.Core.losses) FlexibleNN (class in HeteroSymNN.Core.Nets.neural_nets)

FlexibleNodeConfig (in module HeteroSymNN.types) forward() (HeteroSymNN.Core.losses.FlexibleLoss method) (HeteroSymNN.Core.losses.Loss method)

G

generate() (HeteroSymNN.Core.initializers.HeNormal method) (HeteroSymNN.Core.initializers.HeUniform method) (HeteroSymNN.Core.initializers.Initializer method) (HeteroSymNN.Core.initializers.LecunNormal method) (HeteroSymNN.Core.initializers.Orthogonal method) (HeteroSymNN.Core.initializers.RandomNormal method) (HeteroSymNN.Core.initializers.RandomUniform method) (HeteroSymNN.Core.initializers.XavierNormal method) (HeteroSymNN.Core.initializers.XavierUniform method) get_config() (HeteroSymNN.Core.initializers.Initializer method) (HeteroSymNN.Core.initializers.Orthogonal method) (HeteroSymNN.Core.initializers.RandomNormal method) (HeteroSymNN.Core.initializers.RandomUniform method) (HeteroSymNN.Core.losses.FlexibleLoss method) (HeteroSymNN.Core.losses.Loss method) (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN method) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN method) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN method) (HeteroSymNN.Core.optimizers.AdamOptimizer method) (HeteroSymNN.Core.optimizers.Optimizer method)

get_constants() (HeteroSymNN.Core.losses.FlexibleLoss method) get_parameters() (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN method) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN method) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN method) get_state() (HeteroSymNN.Core.optimizers.AdamOptimizer method) (HeteroSymNN.Core.optimizers.Optimizer method) GPU_ENABLED (in module HeteroSymNN.Backend.hardware) GPU_ID (HeteroSymNN.Core.losses.FlexibleLoss property) (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN property) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN property) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN property)

H

HeNormal (class in HeteroSymNN.Core.initializers) HeteroSymNN.Backend.hardware module HeteroSymNN.Core.initializers module HeteroSymNN.Core.losses module HeteroSymNN.Core.optimizers module

HeteroSymNN.types module HeUniform (class in HeteroSymNN.Core.initializers) histogram_losses (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN attribute) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN attribute) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN attribute) HuberLoss (class in HeteroSymNN.Core.losses)

I

INICIALIZER (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN property) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN property) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN property)

Initializer (class in HeteroSymNN.Core.initializers)

L

LayerConstructionConfig (class in HeteroSymNN.types) LAYERS (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN property) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN property) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN property) LayerValues (class in HeteroSymNN.types) learning_mode (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN attribute) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN attribute) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN attribute)

learning_rate (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN property) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN property) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN property) LecunNormal (class in HeteroSymNN.Core.initializers) Loss (class in HeteroSymNN.Core.losses) LOSS_EXPRESSION (HeteroSymNN.Core.losses.FlexibleLoss property) LOSS_FUNCTION (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN property) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN property) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN property)

M

MAELoss (class in HeteroSymNN.Core.losses) module HeteroSymNN.Backend.hardware HeteroSymNN.Core.initializers HeteroSymNN.Core.losses HeteroSymNN.Core.optimizers HeteroSymNN.types

MSELoss (class in HeteroSymNN.Core.losses)

N

NODE_STRUCTURE (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN property) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN property) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN property) NodeConfig (class in HeteroSymNN.types) num_completed_epochs (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN attribute) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN attribute) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN attribute)

num_complited_train_iterations (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN attribute) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN attribute) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN attribute) NUM_GPUS (in module HeteroSymNN.Backend.hardware) num_treaning_iterations (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN attribute) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN attribute) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN attribute)

O

Optimizer (class in HeteroSymNN.Core.optimizers) OPTIMIZER (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN property) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN property) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN property)

Orthogonal (class in HeteroSymNN.Core.initializers)

P

predict() (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN method) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN method) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN method)

R

RandomNormal (class in HeteroSymNN.Core.initializers)

RandomUniform (class in HeteroSymNN.Core.initializers)

S

set_constants() (HeteroSymNN.Core.losses.FlexibleLoss method) set_gpu_id() (HeteroSymNN.Core.losses.FlexibleLoss method) (HeteroSymNN.Core.losses.Loss method) (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN method) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN method) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN method) (HeteroSymNN.Core.optimizers.Optimizer method) set_parameters() (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN method) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN method) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN method)

set_state() (HeteroSymNN.Core.optimizers.AdamOptimizer method) (HeteroSymNN.Core.optimizers.Optimizer method) SgdOptimizer (class in HeteroSymNN.Core.optimizers) SimpleNN (class in HeteroSymNN.Core.Nets.neural_nets) step() (HeteroSymNN.Core.optimizers.AdamOptimizer method) (HeteroSymNN.Core.optimizers.Optimizer method) (HeteroSymNN.Core.optimizers.SgdOptimizer method)

T

train() (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN method) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN method) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN method) train_step() (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN method) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN method) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN method)

training_mode (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN attribute) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN attribute) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN attribute)

U

update_params() (HeteroSymNN.Core.Nets.neural_nets.ConfigurableNN method) (HeteroSymNN.Core.Nets.neural_nets.FlexibleNN method) (HeteroSymNN.Core.Nets.neural_nets.SimpleNN method)

USE_KERNEL_CACHE (in module HeteroSymNN.Backend.hardware)

W

WARNINGS_STRICT_MODE (in module HeteroSymNN.Backend.hardware)

X

XavierNormal (class in HeteroSymNN.Core.initializers)

XavierUniform (class in HeteroSymNN.Core.initializers)