How do I implement masked Softmax?
Clash Royale CLAN TAG#URR8PPP
9
$begingroup$
Consider:
input = 1, 2, 3;
mask = 1, 0, 1
Classic Softmax:
SoftmaxLayer@input
0.0900306, 0.244728, 0.665241
Masked Softmax is something like this:
SoftmaxLayer@Pick[input, mask, 1]
0.119203, 0.880797
But zeros must be preserved:
0.119203, 0., 0.880797
machine-learning neural-networks
edited Mar 9 at 14:50
Peter Mortensen
33627
asked Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
$endgroup$
add a comment |
9
$begingroup$
Consider:
input = 1, 2, 3;
mask = 1, 0, 1
Classic Softmax:
SoftmaxLayer@input
0.0900306, 0.244728, 0.665241
Masked Softmax is something like this:
SoftmaxLayer@Pick[input, mask, 1]
0.119203, 0.880797
But zeros must be preserved:
0.119203, 0., 0.880797
machine-learning neural-networks
edited Mar 9 at 14:50
Peter Mortensen
33627
asked Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
$endgroup$
add a comment |
9
9
9
1
$begingroup$
Consider:
input = 1, 2, 3;
mask = 1, 0, 1
Classic Softmax:
SoftmaxLayer@input
0.0900306, 0.244728, 0.665241
Masked Softmax is something like this:
SoftmaxLayer@Pick[input, mask, 1]
0.119203, 0.880797
But zeros must be preserved:
0.119203, 0., 0.880797
machine-learning neural-networks
edited Mar 9 at 14:50
Peter Mortensen
33627
asked Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
$endgroup$
Consider:
input = 1, 2, 3;
mask = 1, 0, 1
Classic Softmax:
SoftmaxLayer@input
0.0900306, 0.244728, 0.665241
Masked Softmax is something like this:
SoftmaxLayer@Pick[input, mask, 1]
0.119203, 0.880797
But zeros must be preserved:
0.119203, 0., 0.880797
machine-learning neural-networks
machine-learning neural-networks
edited Mar 9 at 14:50
Peter Mortensen
33627
asked Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
edited Mar 9 at 14:50
Peter Mortensen
33627
asked Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
edited Mar 9 at 14:50
Peter Mortensen
33627
edited Mar 9 at 14:50
Peter Mortensen
33627
edited Mar 9 at 14:50
Peter Mortensen
33627
33627
asked Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
asked Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
asked Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
5,1171739
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
9
$begingroup$
MaskedSoftmax = NetGraph[
ElementwiseLayer[Exp],
ThreadingLayer[Times],
SummationLayer, ElementwiseLayer[Max[#, 10^-15] &], ReplicateLayer[Automatic],
ThreadingLayer[Divide]
,
NetPort["Input"] -> 1 -> 2,
NetPort["Mask"] -> 2,
2 -> 3,
2, 3 -> 4
]
MaskedSoftmax[<|"Input" -> 1, 2, 3, "Mask" -> 1, 0, 1|>]
0.119203, 0., 0.880797
MaskedSoftmax[<|"Input" -> 1, 2, 3, 1, 2, 3, "Mask" -> 1, 0, 1, 0, 1, 0|>]
0.119203, 0., 0.880797, 0., 1., 0.
MaskedSoftmax[<|"Input" -> 1, 2, 3, 1, 2, 3, "Mask" -> 1, 0, 1, 0, 0, 0|>]
0.119203, 0., 0.880797, 0., 0., 0.
answered Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
$endgroup$
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
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active
oldest
votes
9
$begingroup$
MaskedSoftmax = NetGraph[
ElementwiseLayer[Exp],
ThreadingLayer[Times],
SummationLayer, ElementwiseLayer[Max[#, 10^-15] &], ReplicateLayer[Automatic],
ThreadingLayer[Divide]
,
NetPort["Input"] -> 1 -> 2,
NetPort["Mask"] -> 2,
2 -> 3,
2, 3 -> 4
]
MaskedSoftmax[<|"Input" -> 1, 2, 3, "Mask" -> 1, 0, 1|>]
0.119203, 0., 0.880797
MaskedSoftmax[<|"Input" -> 1, 2, 3, 1, 2, 3, "Mask" -> 1, 0, 1, 0, 1, 0|>]
0.119203, 0., 0.880797, 0., 1., 0.
MaskedSoftmax[<|"Input" -> 1, 2, 3, 1, 2, 3, "Mask" -> 1, 0, 1, 0, 0, 0|>]
0.119203, 0., 0.880797, 0., 0., 0.
answered Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
$endgroup$
add a comment |
9
$begingroup$
MaskedSoftmax = NetGraph[
ElementwiseLayer[Exp],
ThreadingLayer[Times],
SummationLayer, ElementwiseLayer[Max[#, 10^-15] &], ReplicateLayer[Automatic],
ThreadingLayer[Divide]
,
NetPort["Input"] -> 1 -> 2,
NetPort["Mask"] -> 2,
2 -> 3,
2, 3 -> 4
]
MaskedSoftmax[<|"Input" -> 1, 2, 3, "Mask" -> 1, 0, 1|>]
0.119203, 0., 0.880797
MaskedSoftmax[<|"Input" -> 1, 2, 3, 1, 2, 3, "Mask" -> 1, 0, 1, 0, 1, 0|>]
0.119203, 0., 0.880797, 0., 1., 0.
MaskedSoftmax[<|"Input" -> 1, 2, 3, 1, 2, 3, "Mask" -> 1, 0, 1, 0, 0, 0|>]
0.119203, 0., 0.880797, 0., 0., 0.
answered Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
$endgroup$
add a comment |
9
9
9
$begingroup$
MaskedSoftmax = NetGraph[
ElementwiseLayer[Exp],
ThreadingLayer[Times],
SummationLayer, ElementwiseLayer[Max[#, 10^-15] &], ReplicateLayer[Automatic],
ThreadingLayer[Divide]
,
NetPort["Input"] -> 1 -> 2,
NetPort["Mask"] -> 2,
2 -> 3,
2, 3 -> 4
]
MaskedSoftmax[<|"Input" -> 1, 2, 3, "Mask" -> 1, 0, 1|>]
0.119203, 0., 0.880797
MaskedSoftmax[<|"Input" -> 1, 2, 3, 1, 2, 3, "Mask" -> 1, 0, 1, 0, 1, 0|>]
0.119203, 0., 0.880797, 0., 1., 0.
MaskedSoftmax[<|"Input" -> 1, 2, 3, 1, 2, 3, "Mask" -> 1, 0, 1, 0, 0, 0|>]
0.119203, 0., 0.880797, 0., 0., 0.
answered Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
$endgroup$
MaskedSoftmax = NetGraph[
ElementwiseLayer[Exp],
ThreadingLayer[Times],
SummationLayer, ElementwiseLayer[Max[#, 10^-15] &], ReplicateLayer[Automatic],
ThreadingLayer[Divide]
,
NetPort["Input"] -> 1 -> 2,
NetPort["Mask"] -> 2,
2 -> 3,
2, 3 -> 4
]
MaskedSoftmax[<|"Input" -> 1, 2, 3, "Mask" -> 1, 0, 1|>]
0.119203, 0., 0.880797
MaskedSoftmax[<|"Input" -> 1, 2, 3, 1, 2, 3, "Mask" -> 1, 0, 1, 0, 1, 0|>]
0.119203, 0., 0.880797, 0., 1., 0.
MaskedSoftmax[<|"Input" -> 1, 2, 3, 1, 2, 3, "Mask" -> 1, 0, 1, 0, 0, 0|>]
0.119203, 0., 0.880797, 0., 0., 0.
answered Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
answered Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
answered Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
answered Mar 9 at 10:05
Alexey GolyshevAlexey Golyshev
5,1171739
5,1171739
add a comment |
add a comment |
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