Index

A

AccumBatchNormalization (class in gradient_accumulator) adaptive_clip_grad() (in module gradient_accumulator)

apply_accu_gradients() (gradient_accumulator.GradientAccumulateModel method) apply_gradients() (gradient_accumulator.GradientAccumulateOptimizer method)

B

build() (gradient_accumulator.AccumBatchNormalization method)

C

call() (gradient_accumulator.AccumBatchNormalization method)

compute_norm() (in module gradient_accumulator)

F

from_config() (gradient_accumulator.GradientAccumulateOptimizer class method)

G

get_config() (gradient_accumulator.AccumBatchNormalization method) (gradient_accumulator.GradientAccumulateOptimizer method) get_moving_average() (gradient_accumulator.AccumBatchNormalization method)

GradientAccumulateModel (class in gradient_accumulator) GradientAccumulateOptimizer (class in gradient_accumulator) gradients (gradient_accumulator.GradientAccumulateOptimizer property)

I

iterations (gradient_accumulator.GradientAccumulateOptimizer property)

L

learning_rate (gradient_accumulator.GradientAccumulateOptimizer property)

O

optimizer (gradient_accumulator.GradientAccumulateOptimizer property)

R

reinit_grad_accum() (gradient_accumulator.GradientAccumulateModel method)

reset() (gradient_accumulator.GradientAccumulateOptimizer method) reset_accum() (gradient_accumulator.AccumBatchNormalization method)

S

step (gradient_accumulator.GradientAccumulateOptimizer property)

T

train_step() (gradient_accumulator.GradientAccumulateModel method)

trainable (gradient_accumulator.AccumBatchNormalization property)

U

unitwise_norm() (in module gradient_accumulator)

update_variables() (gradient_accumulator.AccumBatchNormalization method)