AlexNet-Source-Code/example-layers/layers.gc.cfg at main · computerhistory/AlexNet-Source-Code · GitHub

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[data]
type=data
dataIdx=0

[labels]
type=data
dataIdx=1

[conv32a]
type=conv
inputs=data
filters=16
padding=0
stride=1
filterSize=3
channels=3
neuron=relu
initW=0.3
initB=1
partialSum=1
sharedBiases=true
gpu=0

[conv32b]
type=conv
inputs=data
filters=16
padding=0
stride=1
filterSize=3
channels=3
neuron=relu
initW=0.3
initB=1
partialSum=1
sharedBiases=true
gpu=1

[conv32c]
type=conv
inputs=data
filters=16
padding=0
stride=1
filterSize=3
channels=3
neuron=relu
initW=0.3
initB=1
partialSum=1
sharedBiases=true
gpu=2

[rnorm1a]
type=cmrnorm
inputs=conv32a
channels=16
size=5

[rnorm1b]
type=cmrnorm
inputs=conv32b
channels=16
size=5

[rnorm1c]
type=cmrnorm
inputs=conv32c
channels=16
size=5

[fc16a]
type=fc
outputs=16
inputs=rnorm1a,rnorm1b,rnorm1c
initW=0.1,0.1,0.1
gpu=0

[fc16b]
type=fc
outputs=16
inputs=rnorm1b,rnorm1c,rnorm1a
initW=0.1,0.1,0.1
gpu=1

[fc16c]
type=fc
outputs=16
inputs=rnorm1c,rnorm1a,rnorm1a
initW=0.1,0.1,0.1
gpu=2

[concat]
type=concat
inputs=fc16a,fc16c,fc16b

[fc10]
type=fc
inputs=concat
outputs=10
initW=0.08
gpu=0

[probs]
type=softmax
inputs=fc10
gpu=0

[logreg]
type=cost.logreg
inputs=labels,probs
gpu=0