From ac8a4ae5d81764d5474e1230b7f27f9ca483b2b2 Mon Sep 17 00:00:00 2001 From: Jammy2211 Date: Sun, 18 Oct 2026 17:06:45 +0100 Subject: [PATCH 1/5] =?UTF-8?q?cortex:=20autolens=5Finference=202026-10-18?= =?UTF-8?q?=20=E2=80=94=20412537=20finished,=20412563=20failed=20(pool=20S?= =?UTF-8?q?IGSEGV),=20412565=20running,=20sparse=20fixed-light=20divergenc?= =?UTF-8?q?e=20observation?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Fable 5.1 Claude-Session: https://claude.ai/code/session_017gry4pG99UFQbrNsJ4UU4z --- projects/autolens_inference.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/projects/autolens_inference.md b/projects/autolens_inference.md index e1af752..b8652e3 100644 --- a/projects/autolens_inference.md +++ b/projects/autolens_inference.md @@ -9,15 +9,16 @@ Clean slate on pin 2026.10.17.1, campaign hst-imaging-mass-samplers, state read ## Runs -- 412537 — running — gpu — 2026-10-17 — hst-imaging-mass-samplers clean slate: hpc_a100_jax_gpu_sparse_fp64 (submit_hst_cleanslate_jax_gpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_gpu_sparse_fp64/seed_//; human-authorised 2026-10-17 - 412539 — running — ral — 2026-10-17 — hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_dense_fp64 (submit_hst_cleanslate_jax_cpu_dense), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_dense_fp64/seed_//; human-authorised 2026-10-17 - 412541 — running — ral — 2026-10-17 — hst-imaging-mass-samplers clean slate: hpc_a100_jax_cpu_sparse_fp64 (submit_hst_cleanslate_jax_cpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_cpu_sparse_fp64/seed_//; human-authorised 2026-10-17 - 412543 — running — gpu — 2026-10-17 — hst-imaging-mass-samplers wave 1 (cleanslate_2026_10_17_wave1, submit_hst_cleanslate_mass_samplers_jax_gpu_dense): 24-arm slice nautilus/emcee/nuts/smc x sampler seeds 0-2 x both light modes on the base-seed-0 prepared problems of hpc_a100_jax_gpu_dense_fp64, array 0-23%4, 6 h containment, --dependency afterok:412535_0, pin 2026.10.17.1; human-authorised 2026-10-17 -- 412563 — open — ral — 2026-10-17 — hst-imaging-mass-samplers clean slate: numba_cpu dense SLaM base (48gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now) -- 412565 — open — ral — 2026-10-17 — hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now) +- 412565 — running — ral — 2026-10-17 — hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now) ## Log +- 2026-10-18 — note — OBSERVATION awaiting the human's reading, not a conclusion (architect, 2026-10-18 ~16:55Z, rows read on RAL, pin 2026.10.17.1): the slam_base_lightfixed mass_total[1] stage on the jax_gpu SPARSE inversion (412537) lands on a wrong, sharply peaked solution on both seeds: max logL about -43 500 against about +31 649 for the linear mode; log Z -43567.1 / -43201.6; posterior pinned at slope 2.964+-0.0004 / 2.963+-0.0002, einstein_radius 2.493 / 2.427, gamma_1 0.0994 / 0.0998, ell_comps_0 0.59 / 0.57; truth_delta_sigma slope 2250 / 6275 (seed 0 einstein_radius 114, gamma_1 289); 48 700 evaluations at seed 0. The same stage on the jax_gpu DENSE inversion (412535) is the best-recovered row of the campaign (worst abs delta-sigma 0.24 / 0.34). Stages 1-4 are shared between the two light modes, so the difference is isolated to the fixed-light mass_total[1] under the sparse path. Possibly a library or driver fault in the sparse (w_tilde) inversion with ordinary (non-linear) lens light profiles rather than a sampler effect; a laptop reproduction on the exported prepared problem is proposed before any CPU or sampler wave uses the sparse fixed-light problem. Human reading pending. +- 2026-10-18 — run — 412563 failed — wall 0:01: hst-imaging-mass-samplers clean slate: numba_cpu dense SLaM base (48gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now) — FAILED 1:0 both seeds after 00:00:57 (sacct 2026-10-18 ~16:55Z); the in-job wait for the shared jax_cpu dense source_lp[1] passed (completed 18:58Z); source_pix[1] started 19:59Z and the first likelihood batch killed two Nautilus pool workers with SIGSEGV (exit -11), MaxRSS 356 MB so not an OOM kill; PyAutoFit _check_workers_alive raised SearchException; rows written as failed carrying only the shared source_lp[1] stage. The sibling numba sparse leg 412565 runs the same pool without crashing. Rerun options (--cores 1, or NUMBA_THREADING_LAYER=workqueue) await a human decision +- 2026-10-18 — run — 412537 finished — wall 1:44: hst-imaging-mass-samplers clean slate: hpc_a100_jax_gpu_sparse_fp64 (submit_hst_cleanslate_jax_gpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_gpu_sparse_fp64/seed_//; human-authorised 2026-10-17 — COMPLETED 0:0 both seeds on gpu (sacct 2026-10-18 ~16:55Z; elapsed 01:44:19 / 01:36:15, MaxRSS 7.5 GB); rows for both light modes and both seeds read on RAL, status complete, release_pin 2026.10.17.1; slam_base_lightfixed mass_total[1] rows have log Z -43567.1 / -43201.6 (see the 2026-10-18 observation note); rows not yet pulled to the laptop or committed - 2026-10-17 — note — 412543 wave 1 attempt 1 (read 19:40Z): every arm fails. NUTS arms 2, 6, 10, 14 FAILED with JaxRuntimeError RESOURCE_EXHAUSTED, out of memory allocating 385.32GiB [jit_log_l]; SMC arms 3, 7, 11, 15 FAILED allocating 48.45GiB [jit_scan]; their failed-status rows were written. Nautilus and emcee arms 0, 1, 4, 5, 8, 12, 16 completed their mass_total[1] fits (nautilus arm 0 about 13 min, emcee arm 1 about 37 min of job time) and then FAILED in the row writer, scripts/misc/experiments/run.py line 350, TypeError: keys must be str, int, float, bool or None, not tuple (tuple-keyed parameter names from the pinned PyAutoFit); no row written, output trees exist. The architect cancelled pending arms 18-23 at 19:40Z; arms 9, 13, 17 were still running. Fix task filed in Mind (draft/bug/autolens_inference/wave1_row_writer_tuple_keys_and_gpu_oom_reslice.md): fix the writer, re-run nautilus and emcee as attempt 2, defer NUTS and SMC with the OOM evidence. - 2026-10-17 — run — 412565 submitted: hst-imaging-mass-samplers clean slate: numba_cpu sparse SLaM base (64gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now) - 2026-10-17 — run — 412563 submitted: hst-imaging-mass-samplers clean slate: numba_cpu dense SLaM base (48gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now) From 73bdf5790d3645c658c395e504607ba98df79da1 Mon Sep 17 00:00:00 2001 From: Jammy2211 Date: Sun, 18 Oct 2026 17:16:19 +0100 Subject: [PATCH 2/5] =?UTF-8?q?cortex:=20autolens=5Finference=202026-10-18?= =?UTF-8?q?=20=E2=80=94=20human=20decision:=20drop=20numba=5Fcpu=20dense?= =?UTF-8?q?=20leg=20(412563),=20no=20rerun?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-Authored-By: Claude Fable 5.1 Claude-Session: https://claude.ai/code/session_017gry4pG99UFQbrNsJ4UU4z --- projects/autolens_inference.md | 1 + 1 file changed, 1 insertion(+) diff --git a/projects/autolens_inference.md b/projects/autolens_inference.md index b8652e3..555a77c 100644 --- a/projects/autolens_inference.md +++ b/projects/autolens_inference.md @@ -16,6 +16,7 @@ Clean slate on pin 2026.10.17.1, campaign hst-imaging-mass-samplers, state read ## Log +- 2026-10-18 — note — HUMAN DECISION 2026-10-18, verbatim: "lets just drop dense numba we would never use it." The numba_cpu dense leg (RAL 412563, failed with pool-worker SIGSEGV) is dropped from hst-imaging-mass-samplers with no rerun; the campaign's CPU base is jax_cpu dense, jax_cpu sparse and numba_cpu sparse. Canonical record: https://github.com/PyAutoLabs/PyAutoInsight/blob/main/decisions/hst-cleanslate-drop-numba-dense.md (Insight commit e289c04 on PR #36). - 2026-10-18 — note — OBSERVATION awaiting the human's reading, not a conclusion (architect, 2026-10-18 ~16:55Z, rows read on RAL, pin 2026.10.17.1): the slam_base_lightfixed mass_total[1] stage on the jax_gpu SPARSE inversion (412537) lands on a wrong, sharply peaked solution on both seeds: max logL about -43 500 against about +31 649 for the linear mode; log Z -43567.1 / -43201.6; posterior pinned at slope 2.964+-0.0004 / 2.963+-0.0002, einstein_radius 2.493 / 2.427, gamma_1 0.0994 / 0.0998, ell_comps_0 0.59 / 0.57; truth_delta_sigma slope 2250 / 6275 (seed 0 einstein_radius 114, gamma_1 289); 48 700 evaluations at seed 0. The same stage on the jax_gpu DENSE inversion (412535) is the best-recovered row of the campaign (worst abs delta-sigma 0.24 / 0.34). Stages 1-4 are shared between the two light modes, so the difference is isolated to the fixed-light mass_total[1] under the sparse path. Possibly a library or driver fault in the sparse (w_tilde) inversion with ordinary (non-linear) lens light profiles rather than a sampler effect; a laptop reproduction on the exported prepared problem is proposed before any CPU or sampler wave uses the sparse fixed-light problem. Human reading pending. - 2026-10-18 — run — 412563 failed — wall 0:01: hst-imaging-mass-samplers clean slate: numba_cpu dense SLaM base (48gb, 8 CPUs), --lens-light both, seeds 0-1, from autolens_inference main b91ce9c (PR #32), pin 2026.10.17.1, output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export; --stages-from hpc_a100_jax_cpu_dense_fp64:source_lp shares source_lp[1] from the jax_cpu dense chain with an in-job wait (hpc/wait_for_stage.sh); rows mark that stage shared and exclude its wall from the numba chain wall; submitted 2026-10-17T18:58Z by the architect; human decisions 2026-10-17 (8 CPUs, shared stage, submit now) — FAILED 1:0 both seeds after 00:00:57 (sacct 2026-10-18 ~16:55Z); the in-job wait for the shared jax_cpu dense source_lp[1] passed (completed 18:58Z); source_pix[1] started 19:59Z and the first likelihood batch killed two Nautilus pool workers with SIGSEGV (exit -11), MaxRSS 356 MB so not an OOM kill; PyAutoFit _check_workers_alive raised SearchException; rows written as failed carrying only the shared source_lp[1] stage. The sibling numba sparse leg 412565 runs the same pool without crashing. Rerun options (--cores 1, or NUMBA_THREADING_LAYER=workqueue) await a human decision - 2026-10-18 — run — 412537 finished — wall 1:44: hst-imaging-mass-samplers clean slate: hpc_a100_jax_gpu_sparse_fp64 (submit_hst_cleanslate_jax_gpu_sparse), --lens-light both, seeds 0-1, pin 2026.10.17.1 (PYAUTO_LIB_BASE=/mnt/ral/jnightin/inference/pins/2026.10.17.1), output root output/cleanslate_2026_10_17, results tag cleanslate_2026_10_17, prepared export output/prepared/cleanslate_2026_10_17/hpc_a100_jax_gpu_sparse_fp64/seed_//; human-authorised 2026-10-17 — COMPLETED 0:0 both seeds on gpu (sacct 2026-10-18 ~16:55Z; elapsed 01:44:19 / 01:36:15, MaxRSS 7.5 GB); rows for both light modes and both seeds read on RAL, status complete, release_pin 2026.10.17.1; slam_base_lightfixed mass_total[1] rows have log Z -43567.1 / -43201.6 (see the 2026-10-18 observation note); rows not yet pulled to the laptop or committed From d1e19ec846fce3f5ff3780284f9d94401c21588b Mon Sep 17 00:00:00 2001 From: Jammy2211 Date: Mon, 19 Oct 2026 18:20:21 +0100 Subject: [PATCH 3/5] =?UTF-8?q?cortex:=20autolens=5Finference=202026-10-19?= =?UTF-8?q?=20=E2=80=94=20412541/412565=20cancelled=20on=20the=20human's?= =?UTF-8?q?=20decision,=20412539=20completed,=20flat=20layout=20applied,?= =?UTF-8?q?=20wave-1=20attempt=201=20set=20aside?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit All ledger writes via scripts/cortex.py verbs (done x3, log, now); dashboard rendered with --cortex . No compute submitted. Co-Authored-By: Claude Opus 5.5 --- dashboard.html | 33 ++++++++++++---------------- dashboard.md | 40 +++++++++++++--------------------- projects/autolens_inference.md | 9 ++++---- state.json | 18 +++------------ 4 files changed, 37 insertions(+), 63 deletions(-) diff --git a/dashboard.html b/dashboard.html index abe27ec..9004150 100644 --- a/dashboard.html +++ b/dashboard.html @@ -4,7 +4,7 @@ PyAutoCortex Dashboard - + -

PyAutoCortexScience

Question. Run. Rule.

Explore science with your Cortex

Read the prompt
Read the prompt
Last updated 2026-10-19 17:21:21 UTC
↻ Update

- +- Open cowls: https://github.com/PyAutoLabs/cowls +- Open cowls_ansofi: https://github.com/PyAutoLabs/cowls_ansofi
Last updated 2026-10-19 19:05:59 UTC
↻ Update

+

Summary

16 Running · 47 Open
@@ -351,8 +352,9 @@ autofit_inference002026-10-16 euclid_detailed002026-10-15 cowls002026-10-15 +cowls_ansofi002026-10-19 -

Projects

11
+

Projects

12

subhalo_validation

Do the SLaM subhalo pipelines false-detect on lenses with no subhalo0 running · 5 open · updated 2026-09-07
@@ -709,6 +711,29 @@

Runs (0)

+
+

cowls_ansofi

autolens_inference Delaunay-1250 numba CPU SLaM on COSJ100024+015334, F444W onlyno runs recorded · updated 2026-10-19 +
+
+
Registered:
2026-10-19
+
Local:
/mnt/c/Users/Jammy/Science/active/cowls_ansofi
+
RAL:
/mnt/ral/jnightin/active/cowls_ansofi
+
+

Current position

+

Born 2026-10-19. Repo PyAutoLabs/cowls_ansofi (private), M25 COSJ100024+015334 F444W dataset and scripts/slam.py ready; test mode passes all five searches (144 s, numba sparse on every stage). Next: hpc/sync push-submit cpu submit_slam (8 CPU, 64 GB, 5 days, partition ral).

+ +
+

Runs (0)

+

nothing on the cluster

+
Recent log — 1 of 1 entry +
    +
  • 2026-10-19 — note — ledger opened
    • +
+

full log

+

active · ral · no issue yet

+
+
+

euclid

The original Euclid DR1 grade-AB catalogue project, superseded by euclid_dr1dormant · no runs recorded · updated 2026-10-15
diff --git a/dashboard.md b/dashboard.md index c67b28c..b201679 100644 --- a/dashboard.md +++ b/dashboard.md @@ -12,7 +12,7 @@ One ledger per science project: what is on the cluster right now, what the human |-------|------:| | [Running](#projects) | 16 | | [Open](#projects) | 47 | -| [Projects](#projects) | 11 | +| [Projects](#projects) | 12 |
📋 check in since last time @@ -53,6 +53,7 @@ Last check-in: 2026-10-17T11:18Z. | autofit_inference | 0 | 0 | 2026-10-16 | | euclid_detailed | 0 | 0 | 2026-10-15 | | cowls | 0 | 0 | 2026-10-15 | +| cowls_ansofi | 0 | 0 | 2026-10-19 | ## Projects @@ -608,6 +609,42 @@ active · ral · no issue yet
+
cowls_ansofi — autolens_inference Delaunay-1250 numba CPU SLaM on COSJ100024+015334, F444W only · no runs recorded · updated 2026-10-19 + +**Registered:** 2026-10-19 + +**Local:** `` /mnt/c/Users/Jammy/Science/active/cowls_ansofi `` + +**RAL:** `` /mnt/ral/jnightin/active/cowls_ansofi `` + +**Current position** + +Born 2026-10-19. Repo PyAutoLabs/cowls_ansofi (private), M25 COSJ100024+015334 F444W dataset and scripts/slam.py ready; test mode passes all five searches (144 s, numba sparse on every stage). Next: hpc/sync push-submit cpu submit_slam (8 CPU, 64 GB, 5 days, partition ral). + +
📋 + +``` +Use the cortex skill. — resume cowls_ansofi: read PyAutoCortex projects/cowls_ansofi.md (Now, Runs, Log) and then /mnt/c/Users/Jammy/Science/active/cowls_ansofi/wiki/project/state.md and the assistant autolens_assistant's AGENTS.md; tell me where I left off and what I said I would do next. Submit nothing and log nothing until I say. +``` + +
+ +**Runs** (0) + +_nothing on the cluster_ + +
Recent log — 1 of 1 entry + +- 2026-10-19 — *note* — ledger opened + +[full log](https://github.com/PyAutoLabs/PyAutoCortex/blob/main/projects/cowls_ansofi.md) + +active · ral · no issue yet + +
+ +
+
euclid — The original Euclid DR1 grade-AB catalogue project, superseded by euclid_dr1 · dormant · no runs recorded · updated 2026-10-15 **Registered:** not recorded diff --git a/state.json b/state.json index 42c92fd..c4a389d 100644 --- a/state.json +++ b/state.json @@ -3,8 +3,8 @@ "organ": "cortex", "repo": "PyAutoCortex", "status": "yellow", - "headline": "YELLOW \u2014 11 active \u00b7 16 running", - "updated": "2026-10-19T17:21:21Z", + "headline": "YELLOW \u2014 12 active \u00b7 16 running", + "updated": "2026-10-19T19:05:59Z", "pages_url": "https://pyautolabs.github.io/PyAutoCortex/", "items": [ {