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ci.yml
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Refactor train.py into giant/training/ around a metrics collector
ci.yml #143
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8019a80563
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#27
2026-08-07 17:08:52 +02:00
3m51s
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Refactor train.py into giant/training/ around a metrics collector
ci.yml #142
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v0.3.0-stage2-autoregressive
2026-08-07 17:08:47 +02:00
4m14s
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v0.3.0 post-implementation audit: resolve all 9 tracked discrepancies
ci.yml #141
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da7cde3ef9
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#27
2026-08-07 16:18:15 +02:00
4m2s
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v0.3.0 post-implementation audit: resolve all 9 tracked discrepancies
ci.yml #140
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v0.3.0-stage2-autoregressive
2026-08-07 16:18:17 +02:00
4m33s
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v0.3.0 step 6: sample.py/rollout.py AR generation + class->PDG decode
ci.yml #139
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2026-08-07 10:40:51 +02:00
1m19s
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v0.3.0 step 6: sample.py/rollout.py AR generation + class->PDG decode
ci.yml #138
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v0.3.0-stage2-autoregressive
2026-08-07 10:40:14 +02:00
1m22s
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v0.3.0 step 5: Stage2Autoregressive (history=markov) + §11.4 grad instrumentation
ci.yml #137
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2026-08-07 09:41:08 +02:00
3m17s
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v0.3.0 step 5: Stage2Autoregressive (history=markov) + §11.4 grad instrumentation
ci.yml #136
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v0.3.0-stage2-autoregressive
2026-08-07 09:41:06 +02:00
3m46s
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v0.3.0 step 4: type map + particle_type.target = "onehot"/"embedding"
ci.yml #135
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2026-08-06 15:58:05 +02:00
2m49s
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v0.3.0 step 4: type map + particle_type.target = "onehot"/"embedding"
ci.yml #134
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v0.3.0-stage2-autoregressive
2026-08-06 15:58:07 +02:00
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v0.3.0 step 3: per-stage train.py trainers + pipeline.py/cli.py rewrite
ci.yml #133
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2026-08-06 12:28:41 +02:00
1m58s
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v0.3.0 step 3: per-stage train.py trainers + pipeline.py/cli.py rewrite
ci.yml #132
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v0.3.0-stage2-autoregressive
2026-08-06 11:33:53 +02:00
1m56s
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v0.3.0 step 2: network.py refactor to composable stage models
ci.yml #131
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v0.3.0-stage2-autoregressive
2026-08-06 10:56:27 +02:00
50s
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Document the differentiability position and its validation obligation
ci.yml #130
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a489991a3b
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v0.3.0-stage2-autoregressive
2026-08-06 09:59:42 +02:00
1m51s
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Refine v0.3.0 design: defaults, deferred scope, open questions
ci.yml #129
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376bdb9d08
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v0.3.0-stage2-autoregressive
2026-08-06 09:57:00 +02:00
2m8s
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Add v0.3.0 design doc: Stage-2 autoregressive redesign
ci.yml #128
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f390884f67
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v0.3.0-stage2-autoregressive
2026-08-04 15:27:34 +02:00
1m56s
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Bump version to 0.2.0
ci.yml #127
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v0.2.0
2026-08-04 14:05:52 +02:00
2m49s
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Bump version to 0.2.0
ci.yml #126
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2fe887b49a
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master
2026-08-04 14:05:49 +02:00
3m14s
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format: Format tests/test_condor.py according to ruff styling
ci.yml #125
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803aae364e
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master
2026-08-03 14:59:41 +02:00
1m53s
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Fix test_write_submit_requires_synced_venv for active-venv resolution
ci.yml #124
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057d637080
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master
2026-08-03 14:54:40 +02:00
49s
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Resolve giant condor wrapper from the active venv, not a hardcoded path
ci.yml #123
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c3e5956718
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master
2026-08-03 14:48:57 +02:00
1m56s
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Apply ruff format
ci.yml #122
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dae6451203
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master
2026-08-03 14:06:23 +02:00
1m51s
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Fix CLI/tooling robustness gaps and dedupe the Conditioning enum
ci.yml #121
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ca3a2a3462
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master
2026-08-03 13:56:29 +02:00
1m37s
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Fix stale-partial reuse and n_chunks mismatch in analysis condor pipeline
ci.yml #120
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ad1b8e7835
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master
2026-08-03 13:55:58 +02:00
5m40s
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Fix training-loop checkpoint/resume and WGAN bugs
ci.yml #119
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ad0341a9d4
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master
2026-08-03 13:55:22 +02:00
1m9s
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Fix conditioning="physical" so it can actually generalize past training vocab
ci.yml #118
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5b63dfd588
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master
2026-08-03 13:54:16 +02:00
1m2s
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Add data-integrity guards against silent NaN/Inf propagation and races
ci.yml #117
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74343d3e48
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master
2026-08-03 13:51:52 +02:00
4m19s
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Add bigger WGAN config (hidden_dim=512, n_blocks=6)
ci.yml #116
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a4c0443e01
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master
2026-07-30 17:11:07 +02:00
1m54s
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Merge pull request 'Add opt-in straight-through Gumbel-softmax combine weights to MoE router' (
#26
) from feat/router-gumbel-softmax into master
ci.yml #115
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22fdca7697
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master
2026-07-30 17:07:06 +02:00
1m55s
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Scope wandb run config to only-active hyperparameters
ci.yml #114
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8065df896e
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#26
2026-07-30 16:49:39 +02:00
2m44s
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