diff --git a/dashboard.html b/dashboard.html index a9f024c..7c301ad 100644 --- a/dashboard.html +++ b/dashboard.html @@ -331,11 +331,11 @@ - Open slope_hierarchy_scale: https://github.com/PyAutoLabs/slope_hierarchy_scale - Open ic50_workspace: https://github.com/Jammy2211/ic50_workspace - Open autolens_inference: https://github.com/PyAutoLabs/autolens_inference -- Open autofit_inference: https://github.com/PyAutoLabs/autofit_inference
Last updated 2026-10-14 14:24:15 UTC
↻ Update

- +- Open autofit_inference: https://github.com/PyAutoLabs/autofit_inference
Last updated 2026-10-14 16:20:56 UTC
↻ Update

+

-

Summary

22 Running · 47 Open
+

Summary

25 Running · 53 Open
@@ -345,7 +345,7 @@ - +
ProjectRunningOpenLast update
subhalo_validation052026-09-07
slope_hierarchy_scale002026-10-14
ic50_workspace002026-10-14
autolens_inference602026-09-24
autofit_inference002026-10-08
autofit_inference362026-10-14

Projects

8
@@ -548,15 +548,28 @@

autolens_inference — Do the PyAutoLens inference backends agree on the HST

autofit_inference — PyAutoFit search benchmark on gaussian_x3: which searches find the right answer fastest

-

active · ral · autofit_inference#4 · projects/autofit_inference.md · local /home/jammy/Code/PyAutoLabs/fit/autofit_inference · RAL /mnt/ral/jnightin/autofit_inference

+

active · ral · autofit_inference#8 · projects/autofit_inference.md · local /home/jammy/Code/PyAutoLabs/fit/autofit_inference · RAL /mnt/ral/jnightin/autofit_inference

Now

-

Wave-1 pilot stopped at 223 of 520 runs (B3 wrap-up); pilot ranks nothing. Deferred runs go to wave 2 on RAL --partition=ral after A2; NSS after A3b.

+

gaussian_x3@2 frozen in autofit_inference 72d6faaf1717 before any scored run (A2+A4 gate met: PyAutoFit df6d218f1). Scored wave 2 submitted 2026-10-14 on RAL ral (11,750 runs + 20-run probe; references first) against a private PyAutoFit pin df6d218f10cd (autofit_inference#9). Next: B5b pulls, builds the JAX blend realisation-1 reference on the laptop, judges under @2.

Runs

-

nothing on the cluster

+
    +
  • 408244_[0-49] — running — ral — 2026-10-14 — wave-2 blend references (gaussian_x3@2 freeze 72d6faaf1717): realisations 2-5 x numpy/jax x Nautilus n_live=2000 + DynestyStatic nlive=1000 seeds 0-2, + JAX Na…
    • +
  • 408245_[0-47] — running — ral — 2026-10-14 — wave-2 separated references: realisations 1,3,4,5 x numpy/jax x 6 runs; %48; submit_wave2_reference_gaussian_x3_separated; pin df6d218f10cd
    • +
  • 408246_[0-19] — running — ral — 2026-10-14 — wave-2 probe: Zeus JAX + NSS n_live_200_mcmc_steps_50, both datasets, realisation 1, seeds 0-4 (timeouts for probe-first cells); %20; submit_wave2_probe
    • +
  • 408346_[0-7] — open — ral — 2026-10-14 — wave-2 blend reference builds (MAP + build_reference), afterany 408244; %8
    • +
  • 408347_[0-7] — open — ral — 2026-10-14 — wave-2 separated reference builds, afterany 408245; %8
    • +
  • 408348_[0-379] — open — ral — 2026-10-14 — scored wave 2 (gaussian_x3@2) blend numpy: 2250 runs, 50 seeds x 5 realisations, %60, afterany 408346:408347; submit_wave2_scored_gaussian_x3_blend_numpy
    • +
  • 408365_[0-344] — open — ral — 2026-10-14 — scored wave 2 blend jax_cpu: 3500 runs, %60, afterany 408346:408347
    • +
  • 408366_[0-379] — open — ral — 2026-10-14 — scored wave 2 separated numpy: 2250 runs, %60, afterany 408346:408347
    • +
  • 408367_[0-389] — open — ral — 2026-10-14 — scored wave 2 separated jax_cpu: 3750 runs, %60, afterany 408346:408347
    • +

Last 5

    -
  • 2026-10-08 — result — wave-1 pilot (gaussian_x3@1, local CPU, PyAutoFit 0dbf258c4f5e pre-A2) stopped at 223 of 520 runs by the B3 wrap-up ruling; 297 deferred to wave 2 on RAL partition ral; ranks nothing — rows in autofit_inference results/searches/
    • -
  • 2026-10-08 — note — ledger opened
    • +
  • 2026-10-14 — note — gaussian_x3@2 frozen (autofit_inference 72d6faaf1717, protocol 11 A2) before any scored run; A4 gate met (PyAutoFit df6d218f1). Dry run 408236 on ral: pin imports, RAL 4-7x faster than the laptop pilot (laptop-derived timeouts are lenient)…
    • +
  • 2026-10-14 — run — 408367_[0-389] submitted: scored wave 2 separated jax_cpu: 3750 runs, %60, afterany 408346:408347
    • +
  • 2026-10-14 — run — 408366_[0-379] submitted: scored wave 2 separated numpy: 2250 runs, %60, afterany 408346:408347
    • +
  • 2026-10-14 — run — 408365_[0-344] submitted: scored wave 2 blend jax_cpu: 3500 runs, %60, afterany 408346:408347
    • +
  • 2026-10-14 — run — 408348_[0-379] submitted: scored wave 2 (gaussian_x3@2) blend numpy: 2250 runs, 50 seeds x 5 realisations, %60, afterany 408346:408347; submit_wave2_scored_gaussian_x3_blend_numpy

full log

resume autofit_inference

diff --git a/dashboard.md b/dashboard.md index 7d1006a..b8d4b0e 100644 --- a/dashboard.md +++ b/dashboard.md @@ -10,8 +10,8 @@ One ledger per science project: what is on the cluster right now, what the human | Where | Count | |-------|------:| -| [Running](#projects) | 22 | -| [Open](#projects) | 47 | +| [Running](#projects) | 25 | +| [Open](#projects) | 53 | | [Projects](#projects) | 8 |
📋 check in since last time @@ -49,7 +49,7 @@ Last check-in: 2026-09-30T09:51Z. | slope_hierarchy_scale | 0 | 0 | 2026-10-14 | | ic50_workspace | 0 | 0 | 2026-10-14 | | autolens_inference | 6 | 0 | 2026-09-24 | -| autofit_inference | 0 | 0 | 2026-10-08 | +| autofit_inference | 3 | 6 | 2026-10-14 | ## Projects @@ -332,20 +332,31 @@ Use the cortex skill. — resume autolens_inference: read PyAutoCortex projects/ ### autofit_inference — PyAutoFit search benchmark on gaussian_x3: which searches find the right answer fastest -active · ral · [autofit_inference#4](https://github.com/PyAutoLabs/autofit_inference/issues/4) · [projects/autofit_inference.md](https://github.com/PyAutoLabs/PyAutoCortex/blob/main/projects/autofit_inference.md) · local `/home/jammy/Code/PyAutoLabs/fit/autofit_inference` · RAL `/mnt/ral/jnightin/autofit_inference` +active · ral · [autofit_inference#8](https://github.com/PyAutoLabs/autofit_inference/issues/8) · [projects/autofit_inference.md](https://github.com/PyAutoLabs/PyAutoCortex/blob/main/projects/autofit_inference.md) · local `/home/jammy/Code/PyAutoLabs/fit/autofit_inference` · RAL `/mnt/ral/jnightin/autofit_inference` **Now** -Wave-1 pilot stopped at 223 of 520 runs (B3 wrap-up); pilot ranks nothing. Deferred runs go to wave 2 on RAL --partition=ral after A2; NSS after A3b. +gaussian_x3@2 frozen in autofit_inference 72d6faaf1717 before any scored run (A2+A4 gate met: PyAutoFit df6d218f1). Scored wave 2 submitted 2026-10-14 on RAL ral (11,750 runs + 20-run probe; references first) against a private PyAutoFit pin df6d218f10cd (autofit_inference#9). Next: B5b pulls, builds the JAX blend realisation-1 reference on the laptop, judges under @2. **Runs** -- _nothing on the cluster_ +- 408244_[0-49] — running — ral — 2026-10-14 — wave-2 blend references (gaussian_x3@2 freeze 72d6faaf1717): realisations 2-5 x numpy/jax x Nautilus n_live=2000 + DynestyStatic nlive=1000 seeds 0-2, + JAX Na… +- 408245_[0-47] — running — ral — 2026-10-14 — wave-2 separated references: realisations 1,3,4,5 x numpy/jax x 6 runs; %48; submit_wave2_reference_gaussian_x3_separated; pin df6d218f10cd +- 408246_[0-19] — running — ral — 2026-10-14 — wave-2 probe: Zeus JAX + NSS n_live_200_mcmc_steps_50, both datasets, realisation 1, seeds 0-4 (timeouts for probe-first cells); %20; submit_wave2_probe +- 408346_[0-7] — open — ral — 2026-10-14 — wave-2 blend reference builds (MAP + build_reference), afterany 408244; %8 +- 408347_[0-7] — open — ral — 2026-10-14 — wave-2 separated reference builds, afterany 408245; %8 +- 408348_[0-379] — open — ral — 2026-10-14 — scored wave 2 (gaussian_x3@2) blend numpy: 2250 runs, 50 seeds x 5 realisations, %60, afterany 408346:408347; submit_wave2_scored_gaussian_x3_blend_numpy +- 408365_[0-344] — open — ral — 2026-10-14 — scored wave 2 blend jax_cpu: 3500 runs, %60, afterany 408346:408347 +- 408366_[0-379] — open — ral — 2026-10-14 — scored wave 2 separated numpy: 2250 runs, %60, afterany 408346:408347 +- 408367_[0-389] — open — ral — 2026-10-14 — scored wave 2 separated jax_cpu: 3750 runs, %60, afterany 408346:408347 **Last 5** -- 2026-10-08 — *result* — wave-1 pilot (gaussian_x3@1, local CPU, PyAutoFit 0dbf258c4f5e pre-A2) stopped at 223 of 520 runs by the B3 wrap-up ruling; 297 deferred to wave 2 on RAL partition ral; ranks nothing — rows in autofit_inference results/searches/ -- 2026-10-08 — *note* — ledger opened +- 2026-10-14 — *note* — gaussian_x3@2 frozen (autofit_inference 72d6faaf1717, protocol 11 A2) before any scored run; A4 gate met (PyAutoFit df6d218f1). Dry run 408236 on ral: pin imports, RAL 4-7x faster than the laptop pilot (laptop-derived timeouts are lenient)… +- 2026-10-14 — *run* — 408367_[0-389] submitted: scored wave 2 separated jax_cpu: 3750 runs, %60, afterany 408346:408347 +- 2026-10-14 — *run* — 408366_[0-379] submitted: scored wave 2 separated numpy: 2250 runs, %60, afterany 408346:408347 +- 2026-10-14 — *run* — 408365_[0-344] submitted: scored wave 2 blend jax_cpu: 3500 runs, %60, afterany 408346:408347 +- 2026-10-14 — *run* — 408348_[0-379] submitted: scored wave 2 (gaussian_x3@2) blend numpy: 2250 runs, 50 seeds x 5 realisations, %60, afterany 408346:408347; submit_wave2_scored_gaussian_x3_blend_numpy [full log](https://github.com/PyAutoLabs/PyAutoCortex/blob/main/projects/autofit_inference.md) diff --git a/projects/autofit_inference.md b/projects/autofit_inference.md index 42c4fa9..b698ac9 100644 --- a/projects/autofit_inference.md +++ b/projects/autofit_inference.md @@ -1,15 +1,35 @@ # autofit_inference — PyAutoFit search benchmark on gaussian_x3: which searches find the right answer fastest Project: autofit_inference -Issue: autofit_inference#4 +Issue: autofit_inference#8 ## Now -Wave-1 pilot stopped at 223 of 520 runs (B3 wrap-up); pilot ranks nothing. Deferred runs go to wave 2 on RAL --partition=ral after A2; NSS after A3b. +gaussian_x3@2 frozen in autofit_inference 72d6faaf1717 before any scored run (A2+A4 gate met: PyAutoFit df6d218f1). Scored wave 2 submitted 2026-10-14 on RAL ral (11,750 runs + 20-run probe; references first) against a private PyAutoFit pin df6d218f10cd (autofit_inference#9). Next: B5b pulls, builds the JAX blend realisation-1 reference on the laptop, judges under @2. ## Runs +- 408244_[0-49] — running — ral — 2026-10-14 — wave-2 blend references (gaussian_x3@2 freeze 72d6faaf1717): realisations 2-5 x numpy/jax x Nautilus n_live=2000 + DynestyStatic nlive=1000 seeds 0-2, + JAX Nautilus seed 1 realisation 1, + NSS ln 3!; %50; submit_wave2_reference_gaussian_x3_blend; pin PyAutoFit df6d218f10cd +- 408245_[0-47] — running — ral — 2026-10-14 — wave-2 separated references: realisations 1,3,4,5 x numpy/jax x 6 runs; %48; submit_wave2_reference_gaussian_x3_separated; pin df6d218f10cd +- 408246_[0-19] — running — ral — 2026-10-14 — wave-2 probe: Zeus JAX + NSS n_live_200_mcmc_steps_50, both datasets, realisation 1, seeds 0-4 (timeouts for probe-first cells); %20; submit_wave2_probe +- 408346_[0-7] — open — ral — 2026-10-14 — wave-2 blend reference builds (MAP + build_reference), afterany 408244; %8 +- 408347_[0-7] — open — ral — 2026-10-14 — wave-2 separated reference builds, afterany 408245; %8 +- 408348_[0-379] — open — ral — 2026-10-14 — scored wave 2 (gaussian_x3@2) blend numpy: 2250 runs, 50 seeds x 5 realisations, %60, afterany 408346:408347; submit_wave2_scored_gaussian_x3_blend_numpy +- 408365_[0-344] — open — ral — 2026-10-14 — scored wave 2 blend jax_cpu: 3500 runs, %60, afterany 408346:408347 +- 408366_[0-379] — open — ral — 2026-10-14 — scored wave 2 separated numpy: 2250 runs, %60, afterany 408346:408347 +- 408367_[0-389] — open — ral — 2026-10-14 — scored wave 2 separated jax_cpu: 3750 runs, %60, afterany 408346:408347 + ## Log +- 2026-10-14 — note — gaussian_x3@2 frozen (autofit_inference 72d6faaf1717, protocol 11 A2) before any scored run; A4 gate met (PyAutoFit df6d218f1). Dry run 408236 on ral: pin imports, RAL 4-7x faster than the laptop pilot (laptop-derived timeouts are lenient); zeus missing from shared venv, carried in the private pin. Survey correction: separated committed realisation is data_seed 2. +- 2026-10-14 — run — 408367_[0-389] submitted: scored wave 2 separated jax_cpu: 3750 runs, %60, afterany 408346:408347 +- 2026-10-14 — run — 408366_[0-379] submitted: scored wave 2 separated numpy: 2250 runs, %60, afterany 408346:408347 +- 2026-10-14 — run — 408365_[0-344] submitted: scored wave 2 blend jax_cpu: 3500 runs, %60, afterany 408346:408347 +- 2026-10-14 — run — 408348_[0-379] submitted: scored wave 2 (gaussian_x3@2) blend numpy: 2250 runs, 50 seeds x 5 realisations, %60, afterany 408346:408347; submit_wave2_scored_gaussian_x3_blend_numpy +- 2026-10-14 — run — 408347_[0-7] submitted: wave-2 separated reference builds, afterany 408245; %8 +- 2026-10-14 — run — 408346_[0-7] submitted: wave-2 blend reference builds (MAP + build_reference), afterany 408244; %8 +- 2026-10-14 — run — 408246_[0-19] submitted: wave-2 probe: Zeus JAX + NSS n_live_200_mcmc_steps_50, both datasets, realisation 1, seeds 0-4 (timeouts for probe-first cells); %20; submit_wave2_probe +- 2026-10-14 — run — 408245_[0-47] submitted: wave-2 separated references: realisations 1,3,4,5 x numpy/jax x 6 runs; %48; submit_wave2_reference_gaussian_x3_separated; pin df6d218f10cd +- 2026-10-14 — run — 408244_[0-49] submitted: wave-2 blend references (gaussian_x3@2 freeze 72d6faaf1717): realisations 2-5 x numpy/jax x Nautilus n_live=2000 + DynestyStatic nlive=1000 seeds 0-2, + JAX Nautilus seed 1 realisation 1, + NSS ln 3!; %50; submit_wave2_reference_gaussian_x3_blend; pin PyAutoFit df6d218f10cd - 2026-10-08 — result — wave-1 pilot (gaussian_x3@1, local CPU, PyAutoFit 0dbf258c4f5e pre-A2) stopped at 223 of 520 runs by the B3 wrap-up ruling; 297 deferred to wave 2 on RAL partition ral; ranks nothing — rows in autofit_inference results/searches/ - 2026-10-08 — note — ledger opened diff --git a/state.json b/state.json index 263ba15..64cbd6d 100644 --- a/state.json +++ b/state.json @@ -3,8 +3,8 @@ "organ": "cortex", "repo": "PyAutoCortex", "status": "yellow", - "headline": "YELLOW \u2014 8 active \u00b7 22 running", - "updated": "2026-10-14T14:24:15Z", + "headline": "YELLOW \u2014 8 active \u00b7 25 running", + "updated": "2026-10-14T16:20:56Z", "pages_url": "https://pyautolabs.github.io/PyAutoCortex/", "items": [ {