Condensa
0.5.0
Getting Started
Installation
Usage
Module API Reference
Compression Schemes
Compression Operators
Model Compressor
Optimizers
Model Fine-Tuner
Tensor Operators
Aggregation Functions
Utilities
Notes
L-C Optimizer Usage
Condensa
Docs
»
Index
Index
_
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A
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B
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C
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D
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E
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F
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I
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L
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M
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N
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P
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Q
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R
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S
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T
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Z
_
__init__() (condensa.Compressor method)
(condensa.finetune.FineTuner method)
(condensa.opt.DC method)
(condensa.opt.LC method)
(condensa.schemes.BlockPrune method)
(condensa.schemes.Compose method)
(condensa.schemes.FilterPrune method)
(condensa.schemes.NeuronPrune method)
(condensa.schemes.Prune method)
(condensa.schemes.Quantize method)
(condensa.schemes.StructurePrune method)
A
accuracy() (in module condensa.util)
aggregate() (in module condensa.tensor)
aggregate_filters() (in module condensa.tensor)
aggregate_neurons() (in module condensa.tensor)
apply_mask() (in module condensa.tensor)
apply_mask_inplace() (in module condensa.tensor)
AverageMeter (class in condensa.util)
B
block_mask() (in module condensa.tensor)
BlockPrune (class in condensa.schemes)
blockprune() (in module condensa.pi)
C
cnn_statistics() (in module condensa.util)
Compose (class in condensa.schemes)
compress() (condensa.opt.DC method)
(condensa.opt.LC method)
compressed_model_stats() (in module condensa.util)
Compressor (class in condensa)
condensa.delta (module)
condensa.functional (module)
condensa.opt (module)
condensa.pi (module)
condensa.schemes (module)
condensa.tensor (module)
condensa.util (module)
D
DC (class in condensa.opt)
delta() (condensa.schemes.BlockPrune method)
(condensa.schemes.Compose method)
(condensa.schemes.FilterPrune method)
(condensa.schemes.NeuronPrune method)
(condensa.schemes.Prune method)
(condensa.schemes.Quantize method)
(condensa.schemes.StructurePrune method)
density() (in module condensa.tensor)
dequantize() (in module condensa.delta)
E
elapsed_seconds() (condensa.util.EventTimer property)
empty_stat_fn() (in module condensa.util)
EventTimer (class in condensa.util)
F
filter_prune() (in module condensa.pi)
FilterPrune (class in condensa.schemes)
FineTuner (class in condensa.finetune)
I
is_leaf_node() (in module condensa.util)
L
l2norm() (in module condensa.functional)
LC (class in condensa.opt)
loss() (in module condensa.util)
M
magnitude_threshold() (in module condensa.util)
max() (in module condensa.functional)
mean() (in module condensa.functional)
min() (in module condensa.functional)
N
neuron_prune() (in module condensa.pi)
NeuronPrune (class in condensa.schemes)
P
pi() (condensa.schemes.BlockPrune method)
(condensa.schemes.Compose method)
(condensa.schemes.FilterPrune method)
(condensa.schemes.NeuronPrune method)
(condensa.schemes.Prune method)
(condensa.schemes.Quantize method)
(condensa.schemes.StructurePrune method)
pretrain() (in module condensa.util)
Prune (class in condensa.schemes)
prune() (in module condensa.pi)
Q
Quantize (class in condensa.schemes)
quantize() (in module condensa.pi)
R
reset() (condensa.util.EventTimer method)
run() (condensa.Compressor method)
(condensa.finetune.FineTuner method)
S
simple_mask() (in module condensa.tensor)
sparsity() (in module condensa.tensor)
statistics() (condensa.Compressor property)
StructurePrune (class in condensa.schemes)
sum() (in module condensa.functional)
T
threshold() (condensa.schemes.BlockPrune method)
(condensa.schemes.FilterPrune method)
(condensa.schemes.NeuronPrune method)
(condensa.schemes.Prune method)
(condensa.schemes.StructurePrune method)
(in module condensa.tensor)
Z
zero_() (condensa.opt.LC method)