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0.2.8
4a78b41f
·
handle if even amount of batch sizes across devices
·
Sep 06, 2023
0.2.7
80a98269
·
export the sigmoid contrastive learning module
·
Sep 06, 2023
0.2.6
90021a1a
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further cleanup the distributed code
·
Sep 06, 2023
0.2.5
f2daaf67
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quick fix
·
Sep 06, 2023
0.2.4
b5ca8ae9
·
complete distributed logic for sigmoid contrastive loss
·
Sep 05, 2023
0.2.3
08760278
·
make sure regular contrastive loss supports distributed data parallel. work...
·
Sep 05, 2023
0.2.2
87e835e3
·
move beartype onto methods
·
Apr 08, 2023
0.2.1
7422185e
·
missing import
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Mar 31, 2023
0.2.0
80ad8ccf
·
add sigmoid contrastive loss
·
Mar 30, 2023
0.1.2
b95e54b2
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contrastive loss needs both directions
·
Mar 29, 2023
0.1.1
cad7b494
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precompute audio and text layers to be used for hierarchical contrastive loss
·
Mar 01, 2023
0.1.0
5f53d410
·
add the hierarchical contrastive loss from the ViCHA strategy in
https://arxiv.org/abs/2208.13628
·
Mar 01, 2023
0.0.28
1905a608
·
allow for sampling multiple pieces of music and selecting top match with audio clip mulan
·
Feb 26, 2023
0.0.26
22fd63bb
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map location to cpu when loading state dict
·
Feb 16, 2023
0.0.25
c9b10bbc
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fix save command not using the one on the trainer class, for saving optimizer state
·
Feb 15, 2023
0.0.24
80cfebad
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0.0.24
·
Feb 14, 2023
0.0.23
d514e2ff
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add qk rmsnorm
·
Feb 13, 2023
0.0.22
638b07b2
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avoid a division
·
Feb 12, 2023
0.0.21
d0cdbb25
·
repeat batch for relative positional bias only if doing patch dropout
·
Feb 11, 2023
0.0.20
6b630672
·
add best relative positional encoding for AST
·
Feb 11, 2023
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