sinabs
v0.2.1
SINABS
Introduction
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API
Contributing to sinabs
sinabs
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Index
A
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C
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F
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G
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I
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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
A
analog_model (Network attribute)
C
compare_activations() (Network method)
convert() (SpkConverter method)
Cropping2dLayer (class in sinabs.layers)
F
from_model() (in module sinabs.from_torch)
G
get_output_shape() (Cropping2dLayer method)
(InputLayer method)
(SpikingLayer method)
(SpikingMaxPooling2dLayer method)
get_synops() (Network method)
(SNNSynOpCounter method)
get_total_power_use() (SNNSynOpCounter method)
get_total_synops() (SNNSynOpCounter method)
I
Img2SpikeLayer (class in sinabs.layers)
input_shape (Network attribute)
InputLayer (class in sinabs.layers)
M
module
sinabs
sinabs.from_torch
sinabs.layers
sinabs.synopcounter
N
Network (class in sinabs)
NeuromorphicReLU (class in sinabs.layers)
P
plot_comparison() (Network method)
Q
quantize() (in module sinabs.layers)
QuantizeLayer (class in sinabs.layers)
R
reset_states() (Network method)
(SpikingLayer method)
S
Sig2SpikeLayer (class in sinabs.layers)
sinabs
module
sinabs.from_torch
module
sinabs.layers
module
sinabs.synopcounter
module
SNNSynOpCounter (class in sinabs.synopcounter)
spiking_model (Network attribute)
SpikingLayer (class in sinabs.layers)
SpikingMaxPooling2dLayer (class in sinabs.layers)
SpkConverter (class in sinabs.from_torch)
stochastic_rounding() (in module sinabs.layers)
SumPool2d (class in sinabs.layers)
synaptic_output() (SpikingLayer method)
SynOpCounter (class in sinabs.synopcounter)
synops (Network attribute)
T
threshold_reset() (in module sinabs.layers)
threshold_subtract() (in module sinabs.layers)
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