feat(augaman): v0.1.3 on esh-ml1 and fv-ml1; after-bench: GPU ~3x faster, CPU mode regressed

Both hosts are rebuilt from tag v0.1.3 (one ONNX session per detector canvas) and
redeployed. pytest -m gpu tests/vision passes 3/3 on each card.

Server-side for one face, same harness as the v0.1.2 baseline:
- esh-ml1 GPU 144 -> 48 ms
- fv-ml1 GPU 75 -> 27 ms
End to end from nh3-dev: 101.6 and 73.8 ms.

CPU mode got slower on every CPU target: fv-ml1 cpuset 0-5 went 152 -> 205 ms
with a face, and the no-face frame roughly doubled. That is well outside the
run-to-run spread. The suspected cause (not measured) is per-session ORT
thread pools spinning. Reported to augaman-dev. Neither deployment uses CPU
mode.

On esh-ml1 the dependency layer missed the build cache and the rootfs touched
90% until the v0.1.2 image was removed. fv-ml1's build hit the cache, and the
exported requirements are identical, so the stack README now says to check
disk before building on esh-ml1.

docs/pfi/augaman-speed-bench/README.md

@@ -1,8 +1,42 @@
 # augaman speed bench: CPU vs esh-ml1 GPU vs fv-ml1 GPU
 
-Asked by Prime on 2026-09-27. This is the **v0.1.2 "before"** baseline. v0.1.3 gives
+Asked by Prime on 2026-09-27. Two passes of the same harness:
-each detector canvas its own ONNX session, removing the ~90 ms CUDA shape-switching
+**v0.1.2 (before, 0021–0026 PT)** and **v0.1.3 (after, 0106–0112 PT)**. v0.1.3 gives
-cost that comfy-dev found. The same harness is to be re-run on v0.1.3 for the "after".
+each detector canvas its own ONNX session, which removes the ~90 ms CUDA
+shape-switching cost that comfy-dev found.
+
+## Headline: server-side ms per frame, one face (a) / no face (c)
+
+| target | v0.1.2 | **v0.1.3** | change |
+|---|---|---|---|
+| esh-ml1 GPU (RTX 2000E) | 143.8 / 136.2 | **48.0 / 37.2** | ~3.0× faster |
+| fv-ml1 GPU1 (RTX PRO 6000) | 75.0 / 69.5 | **27.3 / 22.9** | ~2.8× faster |
+| fv-ml1 CPU, cpuset 0-5 | 152.4 / 72.3 | **205.1 / 133.2** | ⚠ ~1.35× / 1.8× SLOWER |
+| fv-ml1 CPU, cpuset 0-23 | 155.9 / 61.9 | **204.6 / 124.0** | ⚠ SLOWER |
+| esh-ml1 CPU, 6 LXC threads | 887.6 / 159.4 | **1105.1 / 395.4** | ⚠ SLOWER |
+
+End to end from nh3-dev, frame (a) p50: esh-ml1 GPU **101.6 ms** (was 196.5) and fv-ml1
+GPU **73.8 ms** (was 126.6). The /health floor is ~27 ms for both.
+
+**The GPU gain is real, and CPU mode regressed.** The CPU slowdown sits far outside the
+run-to-run spread: fv CPU6 (c) ran 158–166 ms against 111–113 before. It shows on
+every CPU target and hits the no-face frame hardest, which points at the detector
+sessions. Hypothesis, NOT measured: each of the three ORT sessions now has its own
+intra-op thread pool, whose threads spin while another session runs, so the CPU
+oversubscribes. The candidate fixes are `session.intra_op.allow_spinning=0` or a shared
+global thread pool. Reported to augaman-dev. Neither deployment runs in CPU mode, so
+nothing live is affected.
+
+VRAM after the bench (nvidia-smi): esh-ml1 736 MiB (514 on v0.1.2), fv-ml1 1828 MiB
+(1264 on v0.1.2). `pytest -m gpu tests/vision` passes 3/3 on both cards on v0.1.3
+(three sessions proven: detector@128, detector@640, embedder). Raw data:
+`rows-2026-09-27-v0.1.3.json`, and GPU utilisation samples every ~15 s in
+`gpu-util-2026-09-27-v0.1.3.log` (mostly 0%, with peaks of 21% on esh-ml1 and 31%
+on fv-ml1 GPU 1; fv-ml1 GPU 2 hit 99% once from another seat's traffic).
+
+---
+
+# v0.1.2 baseline detail
 
 ## Harness (it is part of the number)
 

docs/pfi/augaman-speed-bench/rows-2026-09-27-v0.1.3.json

@@ -0,0 +1,542 @@
+[
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+  "p90": 85.02629639551742,
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+  "p90": 63.8927058011177,
+  "server_probe_mean": 22.860179003328085,
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+  "frame": "health_floor",
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+  "p90": 30.96141718851868,
+  "server_probe_mean": null,
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+  "frame": "a_1080p_1face",
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+  "p90": 1854.3222563093877,
+  "server_probe_mean": 1573.5961115453392,
+  "bad": 0
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+  "frame": "c_1080p_0face",
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+  "bad": 0
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+ {
+  "target": "fv-ml1 CPU24",
+  "frame": "health_floor",
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+  "p90": 33.62159581010929,
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+  "frame": "a_1080p_1face",
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+  "p90": 272.51768180867657,
+  "server_probe_mean": 206.39763702638447,
+  "bad": 0
+ },
+ {
+  "target": "fv-ml1 CPU24",
+  "frame": "b_960x1001_2face",
+  "run": 3,
+  "p50": 265.6091139942873,
+  "p90": 297.4889616059954,
+  "server_probe_mean": 222.6791250752285,
+  "bad": 0
+ },
+ {
+  "target": "fv-ml1 CPU24",
+  "frame": "c_1080p_0face",
+  "run": 3,
+  "p50": 158.92017900478095,
+  "p90": 181.67336140904808,
+  "server_probe_mean": 121.74809173448011,
+  "bad": 0
+ }
+]

stacks/augaman/.env.example

@@ -6,7 +6,7 @@
 # compose.yaml. Do not add an env_file.
 
 # Built locally on esh-ml1 from the release tag (see README "Building").
-IMAGE=augaman:0.1.2
+IMAGE=augaman:0.1.3
 
 PORT=8040
 HOST_IP=10.0.50.80

stacks/augaman/README.md

@@ -60,7 +60,8 @@ cd /opt/docker/src/augaman-vX.Y.Z && docker build -t augaman:X.Y.Z .
 
 The build fetches the two pinned models and SHA-256-checks them; a mismatch fails
 the build. v0.1.0 built in under 2 minutes cold; v0.1.1 was the first version
-deployed (2026-09-26), then v0.1.2 (2026-09-27).
+deployed (2026-09-26), then v0.1.2 and v0.1.3 (2026-09-27; v0.1.3 gives each
+detector canvas its own session, about +190 MiB VRAM on esh-ml1).
 
 ⚠ **Disk:** a build that has to install the third-party packages takes ~8–11 GB
 transiently (image ~5 GB plus the ~3 GB uv download cache). Beszel alerts at 85%.
@@ -69,7 +70,13 @@ From v0.1.2 the packages install from a layer keyed on `uv export
 --no-emit-project`, so a bump that changes no dependency reuses that layer. Keep
 the layer cache (`docker builder prune --filter type=exec.cachemount` drops only
 the download cache); a full `docker builder prune` forces the next build to
-re-install everything.
+re-install everything. ⚠ **The cache did not survive on esh-ml1 for v0.1.3** (the
+deps layer re-ran for 1m43s, and the rootfs touched 90% until the old image was
+removed). On fv-ml1 the same build was CACHED (49 s), and the exported requirements
+were byte-identical across the two versions, so the layering itself works. The
+esh-ml1 miss is unexplained; suspect the cache pruning done there after v0.1.2.
+**On esh-ml1, check `df` before a build, and have ≥15 GB free or remove the old
+image first.**
 
 ## Startup is fail-closed on CUDA