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feat: vmap optimizer (#166)
Unverified signatureb993d27
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feat: scan layers + gradient checkpointing (#161)
Unverified signature* scan layers for faster compilation * support gradient checkpointing07a6f9a
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feat: better multi-node support (#158)
Unverified signature* reproducible data loader * custom sharding * model parallel across multiple nodes728a3c3
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feat: update shampoo
9ecdd3f
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feat(model): allow bias (#152)
Unverified signature361a994
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feat(train): google-cloud-storage is optional
02b2308 -
feat(train): rename logged config
955dc20
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feat: add mini_glu config
a7e5050
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feat: update mini config
d9a16f2
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feat: implement transformer variants (#144)
Unverified signature* added DeepNet * added Swin v2 * added NormFormer * added RMSNorm * added GLU variants542378c
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feat(train): log norm and histograms (#143)
Unverified signature* feat(train): log norm and histograms * feat: update shampoob7b619a
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feat(data): super conditioning (#141)
Unverified signature* feat(data): online filtering * feat(generate): super conditioning * feat: add processor7939874
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feat: support pod (#139)
Unverified signature803ccbf
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fix: no gradient checkpointing for new model
2e02683 -
feat: no gradient checkpointing for params init
b798ed3 -
feat: update configs
79557f9 -
fix(train): consider schedule offset
bc4734f -
feat(train): local jax cache
9f5e879 -
feat: add bucket reference to artifact
d368fb6
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style: lint
d5d442a -
feat: handle gradient checkpointing
5173ec7 -
feat: load from bucket
1c4e839 -
feat(train): save to bucket
50498e6 -
feat: reduce artifact space + offset step
34cf91c
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feat: restore weights on CPU
5f954fc -
feat(train): simplify tokenizer loading
4cb21dd
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feat(train): use compilation cache
da9367c
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fix: style
d483294
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Merge branch 'main' of https://github.com/borisdayma/dalle-mini into main
0a691de -
feat: log num_parameters early
7cfe576 -
fix: distributed shampoo class
696422e -
feat: update distributed_shampoo
5996680
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feat(train) - handle multiple nodes (#130)
Unverified signature0952927 -
feat: handle model parallel
1bb3269
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feat(train): more custom x-axis
5f28cd2
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fix(train): opt_state_shape for distributed_shampoo
225b6ff
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feat(train): split artifact into model/state
fa5b058
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feat(train): another 25% faster
14abe8c -
feat(train): overhead from 70% to 1% 🥳
2b7f5f1 -
feat(pjit): follow t5x style
7b5868f
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fix(train): grads spec
00710bc -
feat(train): improve pjit speed
f254058 -
fix(train): consider correct batch size
b7c7458
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feat(train): custom start_preconditioning_step
8149924 -
feat(train): handle distributed_shampoo in pjit
032f623 -
feat: update distributed_shampoo + fix None spec
8a9e367 -
feat(train): distributed_shampoo with pjit
cc34d07
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fix style
f044cb8 -
feat(train): restore opt_state efficiently
1bfc1b5
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feat(model): clean way to load on cpu
12f323d