FUSE-EFIT in-era model, single and averaged forms (replaces the earlier model)

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2026 NoahH72
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -7,165 +7,151 @@ tags:
   - plasma-physics
   - tokamak
   - diii-d
-  - state-space-model
   - mamba
-  - time-series
-  - real-time
 ---
 
-# fuse29 — Mamba-2 pedestal predictor for DIII-D
+# FUSE-EFIT (in era), ONNX
 
-A 29-input, 6-layer Mamba-2 state-space model that predicts nine pedestal
-quantities at ρ_tor = 0.85 from DIII-D actuator settings, at 20 Hz, with a
-strictly causal O(1)-per-tick inference path suitable for real-time control.
+A 20 Hz, strictly causal model of the DIII-D plasma edge, driven by the heating, fuelling and field
+actuators, the measured plasma current, the loop voltage and the EFIT01 boundary shape. Physical units
+in, physical units out. Code, documentation and the input contract: https://github.com/NoahH72/FUSE-Pedestal-Predictor-Mamba-ONNX
+(`docs/EXPORT.md`, `docs/INPUT_CONTRACT.md`, `MODEL_CARD.md`).
 
-Packaged as two ONNX graphs with normalisation baked in: **raw physical units
-in, physical units out.**
+## Two forms, one calling convention
 
-| | |
-|---|---|
-| Parameters | 11,254,425 |
-| Architecture | Mamba-2 (SSD), 6 layers, d_model 512, d_state 128 |
-| Inputs | 29 actuator channels, physical units |
-| Outputs | 9 heads, physical units |
-| Cadence | 20 Hz (50 ms) |
-| Precision | float32 |
-| ONNX opset | 17 |
-| Step latency | ~2.9 ms/tick, CPU, batch 1 |
-| License | MIT |
+| form | what it is | networks per tick | ONNX files | step call, 1 thread | step call, 8 threads |
+|---|---|---:|---:|---|---|
+| `single` | replicate 0 of the in-era finals (seed 100), the frozen delivered network | 1 | 184 MB | 4.87 ms (99th percentile 5.08 ms) | 1.95 ms (99th percentile 2.00 ms) |
+| `averaged` | the eight in-era finals (seeds 100-107); the mean of their raw outputs at every tick | 8 | 1468 MB | 56.33 ms (99th percentile 59.45 ms) | 18.25 ms (99th percentile 18.60 ms) |
 
-## Intended use
+Timing: Intel(R) Xeon(R) CPU Max 9470C, onnxruntime 1.30.0, CPU, batch 1. The control cycle is 50 ms per tick. The two forms take and return the same tensors
+with the same names, shapes and units; only the recurrent state is larger for `averaged`
+(19.9 MB per shot against 2.5 MB).
+A host switches form by choosing a folder.
 
-Predicting pedestal density, temperature, rotation, heights and locations from
-the actuator request, inside FUSE or an equivalent DIII-D control or analysis
-pipeline. The step graph is designed for the 50 ms control cycle; the sequence
-graph is for offline scoring and replay.
-
-**Not** intended for other machines, other radial locations, or as a
-safety-critical interlock. It has no uncertainty estimate and no
-out-of-distribution detector.
-
-## Quickstart
+## Files
 
-```bash
-pip install numpy onnxruntime
+```
+era/single/fuse_efit_single_step.onnx        one 50 ms tick per call, state in and out
+era/single/fuse_efit_single_sequence.onnx    one window of 256 ticks
+era/averaged/fuse_efit_averaged_step.onnx
+era/averaged/fuse_efit_averaged_sequence.onnx
+era/<form>/model_config.json                 the input and output contract, machine-readable
+era/<form>/norms.json                        the statistics baked into the graphs
+era/<form>/input_ranges.json                 training ranges per channel, for a units check
+era/<form>/provenance.json                   source checkpoints with sha256, code identity, versions
+SHA256SUMS                                   sha256sum -c SHA256SUMS
 ```
 
-```python
-from fuse29.runtime import Fuse29Predictor
-
-predictor = Fuse29Predictor.from_pretrained("SCS-Lab/FUSE29-Pedestal-model")   # loads seed 0
-state = predictor.init_state()
+## Download and check
 
-for actuators in shot:                     # (29,) float32, raw physical units
-    out, state = predictor.step(actuators, state)
-    if out.is_hmode:
-        print(out.ne, out.te_ped, out.neped_prmtan)
+```bash
+git clone https://github.com/NoahH72/FUSE-Pedestal-Predictor-Mamba-ONNX
+cd FUSE-Pedestal-Predictor-Mamba-ONNX
+pip install numpy onnxruntime huggingface_hub
+hf download SCS-Lab/FUSE-PED --local-dir export        # this page's files, into the code's export/ folder
+cd export && sha256sum --check SHA256SUMS && cd ..
+python examples/verify_integration.py --bundle export/era
 ```
 
-Or straight from onnxruntime, with no Python package — the full contract is
-about fifteen lines and is written out in `docs/ONNX.md`.
-
-## Files
+Every line of the checksum check must say OK, and the integration check must pass, before the model is used.
 
-Per seed (`s0/` … `s7/`):
+## Run it
 
-| File | |
-|---|---|
-| `fuse29_step.onnx` | one 50 ms tick, carries state, no length limit |
-| `fuse29_seq.onnx` | whole shot at a fixed 256 ticks |
-| `model_config.json` | I/O contract: names, order, units, sources, shapes |
-| `norms.json` | the statistics baked into the graphs |
-| `actuator_ranges.json` | training-split distribution, for checking your units |
-| `provenance.json` | source checkpoint SHA-256, library versions, artefact hashes |
+```python
+from fuse_efit.export.runtime import FuseEfitPredictor     # numpy + onnxruntime only
 
-Plus `manifest.json` at the root. **Seed 0 is the champion and the default.**
+model = FuseEfitPredictor("export/era", form="single")       # or form="averaged"
+state = model.init_state()                                   # zeros at the start of every shot
+for each 50 ms tick:
+    y, state = model.step(inputs_25, indicators_5, state)    # exactly once per tick
+```
 
-## Inputs
+Step graph tensors: `inputs` (batch, 25), `indicators` (batch, 5), `available` (batch, 25),
+`conv_state`, `ssm_state` in; `predictions` (batch, 9), `conv_state_out`, `ssm_state_out` out.
 
-29 DIII-D actuator channels in raw physical units: beam power (MW) and torque,
-ECH power, the eighteen shaping F-coil currents (A), both E-coil currents (A),
-five gas valve flows (Torr·L/s), and the toroidal field (T). Order is
-load-bearing; see `docs/IO_CONTRACT.md`.
+## Inputs (physical units, this order)
 
-`pohm`, `ip` and `ipspr15v` are deliberately excluded — they are plasma
-responses, not commands, and a model predicting the response must not be
-handed it.
+| # | channel | unit |
+|--:|---|---|
+| 0 | `pinj` | MW |
+| 1 | `tinj` | N m |
+| 2 | `ech_mw` | MW |
+| 3 | `gasa_cal` | Torr L/s |
+| 4 | `gasb_cal` | Torr L/s |
+| 5 | `gasc_cal` | Torr L/s |
+| 6 | `gasd_cal` | Torr L/s |
+| 7 | `gase_cal` | Torr L/s |
+| 8 | `bt` | T |
+| 9 | `ip` | MA |
+| 10 | `aminor` | m |
+| 11 | `rsurf` | m |
+| 12 | `zsurf` | m |
+| 13 | `kappa` | dimensionless |
+| 14 | `tritop` | dimensionless |
+| 15 | `tribot` | dimensionless |
+| 16 | `drsep` | m |
+| 17 | `rvsout` | m |
+| 18 | `gapin` | m |
+| 19 | `rvsou` | m |
+| 20 | `rvsiu` | m |
+| 21 | `shafranov` | m |
+| 22 | `zeta_ou` | dimensionless |
+| 23 | `zeta_ol` | dimensionless |
+| 24 | `vloop` | V |
+
+Indicators, 0/1 per tick: `efit_valid`, `vloop_valid`, `rvsout_present`, `rvsou_present`, `rvsiu_present`. Availability,
+0/1 per shot and channel (default 1). Where an indicator or the availability flag is 0 the value is
+ignored; elsewhere supply a real value (not-a-number is read as the training mean).
 
 ## Outputs
 
-| # | Head | Units |
+| # | head | unit |
 |--:|---|---|
-| 0 | `ne` | 10¹⁹ m⁻³ |
+| 0 | `ne` | 1e19 m^-3 |
 | 1 | `te_ped` | keV |
 | 2 | `ti_ped` | keV |
 | 3 | `t_rot_ped` | krad/s |
-| 4 | `neped_prmtan` * | 10¹⁹ m⁻³ |
-| 5 | `teped_prmtan` * | keV |
-| 6 | `rho_sym` * | ρ_tor |
-| 7 | `ne_top_loc` * | ρ_tor |
-| 8 | `hmode` | probability |
-
-\* **H-mode only.** See the limitations below.
-
-## Performance
-
-Seed 0, scored with the exported ONNX graph on 4087 held-out shots. Median of
-per-shot RMSE:
-
-| Head | Median per-shot RMSE | Units |
-|---|---:|---|
-| `ne` | 0.3057 | 10¹⁹ m⁻³ |
-| `te_ped` | 0.0605 | keV |
-| `ti_ped` | 0.1065 | keV |
-| `t_rot_ped` | 4.1497 | krad/s |
-| `neped_prmtan` * | 0.3950 | 10¹⁹ m⁻³ |
-| `teped_prmtan` * | 0.0783 | keV |
-| `rho_sym` * | 0.0113 | ρ_tor |
-| `ne_top_loc` * | 0.0134 | ρ_tor |
-| `hmode` | 0.9443 accuracy, 0.9476 F1 | — |
-
-ONNX-vs-PyTorch parity is within 2.5e-05 of a head's training standard
-deviation across all eight seeds and both graphs. Full protocol:
-`docs/VALIDATION.md`.
-
-## Training
-
-~40 900 DIII-D shots, 20 Hz, labels as trailing-bin means with empty bins
-masked rather than filled. Stratified random 80/10/10 split (seed 20260829).
-AdamW, lr 2e-4, cosine schedule, 25 epochs, batch 128. Checkpoint selected on
-lowest total validation loss across all nine heads.
-
-Eight seeds are published; they differ only in weight initialisation and data
-ordering. Full recipe in `docs/TRAINING.md`.
-
-## Limitations
-
-- **Four heads are undefined in L-mode.** `neped_prmtan`, `teped_prmtan`,
-  `rho_sym` and `ne_top_loc` were trained only on H-mode ticks. The graph
-  emits them unconditionally anyway. You must gate on the model's own `hmode`
-  output, which is ~94% accurate with errors concentrated at L–H transitions.
-  See `docs/GATING.md`.
-- **Beam power is a live input in this package.** The predecessor (`fuse29_s*`)
-  could not see `pinj` because a corrupted shot set the divisor to 194 MW.
-  These weights were retrained against winsorised actuator statistics; a
-  half-range `pinj` swing now moves `ne` by 0.79. Isolated sweeps are not a
-  real power scan — other actuators stay at recorded values. See
-  `docs/LIMITATIONS.md`.
-- **Accuracy measures interpolation.** The split is random, so validation
-  shots come from the same campaigns as training shots. A chronological split
-  scores roughly 1.5–2× worse. Expect degradation outside the training
-  distribution, with no built-in warning.
-- **No uncertainty.** Seed spread measures optimisation variance, not
-  predictive uncertainty, and says nothing about errors all eight seeds share.
-- **Units have no guard rail.** `pinj` is MW, not W. A unit error produces
-  confident nonsense rather than an exception; run
-  `predictor.check_units(shot)` once during integration.
-- **Fixed 50 ms cadence**, all 29 channels required every tick, no
-  missing-channel handling, no dropped-tick recovery.
-- **Sequence graph is fixed at 256 ticks.** Use the step graph for anything
-  longer.
-- **float32 only**; no quantised variants are published or validated.
-- DIII-D only, ρ_tor = 0.85 only.
-
-Full discussion in `docs/LIMITATIONS.md`.
+| 4 | `ne_knee` | 1e19 m^-3 |
+| 5 | `te_knee` | keV |
+| 6 | `rho_sym` | rho (normalised radius) |
+| 7 | `ne_top_loc` | rho (normalised radius) |
+| 8 | `hmode` | probability in [0, 1] |
+
+`ne_knee`, `te_knee`, `rho_sym` and `ne_top_loc` are defined only in H-mode: report them only where
+`hmode` is at or above a threshold. Each form has its own, set on validation: `single` 0.54
+(balanced) and 0.5 (conservative); `averaged` 0.53 and 0.47. On the
+test shots each keeps about 95-96 % of H-mode ticks with about 5 % L-mode among those kept (`MODEL_CARD.md` §6).
+
+## Accuracy
+
+Typical error per test shot (the median over in-era test shots of each shot's RMSE, physical units; `hmode`: its loss), from the single opening of the test set:
+
+| output | unit | `single` | `averaged` |
+|---|---|---|---|
+| `ne` | 1e19 m^-3 | 0.2928 | 0.2594 |
+| `te_ped` | keV | 0.05405 | 0.04808 |
+| `ti_ped` | keV | 0.09957 | 0.08967 |
+| `t_rot_ped` | krad/s | 4.043 | 3.678 |
+| `ne_knee` | 1e19 m^-3 | 0.3279 | 0.2973 |
+| `te_knee` | keV | 0.06058 | 0.05636 |
+| `rho_sym` | rho (normalised radius) | 0.01047 | 0.009892 |
+| `ne_top_loc` | rho (normalised radius) | 0.0125 | 0.01188 |
+| `hmode` | loss | 0.1373 | 0.1251 |
+| combined loss | | 0.9889 | 0.8986 |
+
+## Export accuracy
+
+Every graph agrees with the PyTorch model to 7.4e-06 of each head's training standard deviation or better, on 1,988 validation ticks per form and 2,000-tick runs.
+
+## Limits
+
+Needs EFIT01 geometry, the between-shot reconstruction, as trained; it is not for use during the shot. Fed
+real-time EFIT geometry instead it is about 30 % worse, and far worse on shots where the real-time
+reconstruction lacks the strike points. No uncertainty estimate. A unit
+error gives confident nonsense, not an error: run `examples/verify_integration.py` and
+`check_units` once. Full list: `MODEL_CARD.md` §8.
+
+## Licence and contact
+
+Licence: MIT (the `LICENSE` file). Contact: Noah Harris, harrnoah@oregonstate.edu. Code: https://github.com/NoahH72/FUSE-Pedestal-Predictor-Mamba-ONNX.

SHA256SUMS

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era/averaged/input_ranges.json

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+  "schema_version": 1,
+  "model": "FUSE-EFIT",
+  "what": "per-channel ranges of the in-era training inputs, physical units, for a units check",
+  "ticks": "in-era training shots of the train_ and val_ shard files; per channel, shots where it is available and ticks where its governing indicators are 1; finite values only",
+  "n_shots": 29473,
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+    "span_factor": 3.0,
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+  },
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+    "metadata_sha256": "306076a91e9853f61cbcec46ea9cf4e999760e7d02e887a3e4d90f6b6e6ed46c",
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+  "written_utc": "2026-11-08T22:50:46Z"
+}

era/averaged/model_config.json

@@ -0,0 +1,505 @@
+{
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+        "gapin": "m",
+        "rvsou": "m",
+        "rvsiu": "m",
+        "shafranov": "m",
+        "zeta_ou": "dimensionless",
+        "zeta_ol": "dimensionless",
+        "vloop": "V"
+      },
+      "sources": {
+        "pinj": "PtData bmspinj: neutral-beam injected power, all sources",
+        "tinj": "PtData bmstinj: neutral-beam injected torque",
+        "ech_mw": "MDSplus \\RF::ECHPWRC: calibrated total ECH power injected",
+        "gasa_cal": "MDSplus NEUTRALS GASFLOW.GASA:FLOW: calibrated gas flow, valve A",
+        "gasb_cal": "MDSplus NEUTRALS GASFLOW.GASB:FLOW: calibrated gas flow, valve B",
+        "gasc_cal": "MDSplus NEUTRALS GASFLOW.GASC:FLOW: calibrated gas flow, valve C",
+        "gasd_cal": "MDSplus NEUTRALS GASFLOW.GASD:FLOW: calibrated gas flow, valve D",
+        "gase_cal": "MDSplus NEUTRALS GASFLOW.GASE:FLOW: calibrated gas flow, valve E",
+        "bt": "PtData bt: vacuum toroidal field, signed",
+        "ip": "PtData ip: measured plasma current (amperes / 1e6)",
+        "aminor": "EFIT01 AMINOR: minor radius",
+        "rsurf": "EFIT01 RSURF: major radius of the boundary's geometric centre",
+        "zsurf": "EFIT01 ZSURF: height of the boundary's geometric centre",
+        "kappa": "EFIT01 KAPPA: elongation",
+        "tritop": "EFIT01 TRITOP: upper triangularity",
+        "tribot": "EFIT01 TRIBOT: lower triangularity",
+        "drsep": "EFIT01 DRSEP: separatrix separation at the outer midplane, clipped to +-0.1 m per slice",
+        "rvsout": "EFIT01 RVSOUT: major radius of the outer (lower) strike point",
+        "gapin": "EFIT01 GAPIN: inner gap",
+        "rvsou": "EFIT01 RVSOU: major radius of the upper outer strike point",
+        "rvsiu": "EFIT01 RVSIU: major radius of the upper inner strike point",
+        "shafranov": "EFIT01 R0 - RSURF: Shafranov shift",
+        "zeta_ou": "Luce squareness, outer-upper quadrant, from the EFIT01 boundary vertices",
+        "zeta_ol": "Luce squareness, outer-lower quadrant, from the EFIT01 boundary vertices",
+        "vloop": "PtData VLOOP: loop voltage"
+      },
+      "grid_rule": {
+        "pinj": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "tinj": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "ech_mw": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "gasa_cal": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "gasb_cal": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "gasc_cal": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "gasd_cal": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "gase_cal": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "bt": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "ip": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "aminor": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "rsurf": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "zsurf": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "kappa": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "tritop": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "tribot": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "drsep": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "rvsout": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "gapin": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "rvsou": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "rvsiu": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "shafranov": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "zeta_ou": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "zeta_ol": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "vloop": "mean of the native samples in (t - 50 ms, t] (INPUT_CONTRACT 3.3)"
+      },
+      "zeroed_when_indicator_is_0": {
+        "pinj": [],
+        "tinj": [],
+        "ech_mw": [],
+        "gasa_cal": [],
+        "gasb_cal": [],
+        "gasc_cal": [],
+        "gasd_cal": [],
+        "gase_cal": [],
+        "bt": [],
+        "ip": [],
+        "aminor": [
+          "efit_valid"
+        ],
+        "rsurf": [
+          "efit_valid"
+        ],
+        "zsurf": [
+          "efit_valid"
+        ],
+        "kappa": [
+          "efit_valid"
+        ],
+        "tritop": [
+          "efit_valid"
+        ],
+        "tribot": [
+          "efit_valid"
+        ],
+        "drsep": [
+          "efit_valid"
+        ],
+        "rvsout": [
+          "efit_valid",
+          "rvsout_present"
+        ],
+        "gapin": [
+          "efit_valid"
+        ],
+        "rvsou": [
+          "efit_valid",
+          "rvsou_present"
+        ],
+        "rvsiu": [
+          "efit_valid",
+          "rvsiu_present"
+        ],
+        "shafranov": [
+          "efit_valid"
+        ],
+        "zeta_ou": [
+          "efit_valid"
+        ],
+        "zeta_ol": [
+          "efit_valid"
+        ],
+        "vloop": [
+          "vloop_valid"
+        ]
+      },
+      "note": "Physical units, contract order (docs/INPUT_CONTRACT.md \u00a72). Where a governing indicator is 0 the value is ignored (any number, or NaN). NaN anywhere is read as the training mean, so never pass NaN for a value you have."
+    },
+    "indicators": {
+      "shape": [
+        "batch",
+        5
+      ],
+      "dtype": "float32",
+      "values": "0 or 1, per tick",
+      "names": [
+        "efit_valid",
+        "vloop_valid",
+        "rvsout_present",
+        "rvsou_present",
+        "rvsiu_present"
+      ],
+      "meaning": {
+        "efit_valid": "1 when at least one usable EFIT slice lies in (t - 50 ms, t]; 0 otherwise",
+        "vloop_valid": "1 when at least one loop-voltage sample lies in (t - 50 ms, t]; 0 otherwise",
+        "rvsout_present": "1 when at least one slice in the window has a real outer strike point; 0 otherwise",
+        "rvsou_present": "1 when at least one slice in the window has a real upper outer strike point; 0 otherwise",
+        "rvsiu_present": "1 when at least one slice in the window has a real upper inner strike point; 0 otherwise"
+      }
+    },
+    "available": {
+      "shape": [
+        "batch",
+        25
+      ],
+      "dtype": "float32",
+      "values": "0 or 1, per shot",
+      "names": [
+        "pinj",
+        "tinj",
+        "ech_mw",
+        "gasa_cal",
+        "gasb_cal",
+        "gasc_cal",
+        "gasd_cal",
+        "gase_cal",
+        "bt",
+        "ip",
+        "aminor",
+        "rsurf",
+        "zsurf",
+        "kappa",
+        "tritop",
+        "tribot",
+        "drsep",
+        "rvsout",
+        "gapin",
+        "rvsou",
+        "rvsiu",
+        "shafranov",
+        "zeta_ou",
+        "zeta_ol",
+        "vloop"
+      ],
+      "default": 1,
+      "note": "1 = a usable record of this channel exists for the shot (the normal case). 0 = no record for the whole shot: the value is ignored and the model receives the flag, as it did in training for missing records. Keep it constant within a shot."
+    }
+  },
+  "outputs": {
+    "predictions": {
+      "shape": [
+        "batch",
+        9
+      ],
+      "dtype": "float32",
+      "names": [
+        "ne",
+        "te_ped",
+        "ti_ped",
+        "t_rot_ped",
+        "ne_knee",
+        "te_knee",
+        "rho_sym",
+        "ne_top_loc",
+        "hmode"
+      ],
+      "units": {
+        "ne": "1e19 m^-3",
+        "te_ped": "keV",
+        "ti_ped": "keV",
+        "t_rot_ped": "krad/s",
+        "ne_knee": "1e19 m^-3",
+        "te_knee": "keV",
+        "rho_sym": "rho (normalised radius)",
+        "ne_top_loc": "rho (normalised radius)",
+        "hmode": "probability in [0, 1]"
+      },
+      "meaning": {
+        "ne": "electron density at rho = 0.85",
+        "te_ped": "electron temperature at rho = 0.85",
+        "ti_ped": "ion temperature at rho = 0.85",
+        "t_rot_ped": "toroidal rotation at rho = 0.85",
+        "ne_knee": "electron density on the pedestal fit at its knee (H-mode only)",
+        "te_knee": "electron temperature on its pedestal fit at its knee (H-mode only)",
+        "rho_sym": "symmetry point of the density pedestal fit (H-mode only)",
+        "ne_top_loc": "knee (pedestal top) of the density pedestal fit (H-mode only)",
+        "hmode": "the plasma is in H-mode (sigmoid of the averaged or single logit)"
+      }
+    },
+    "hmode_gated_heads": [
+      "ne_knee",
+      "te_knee",
+      "rho_sym",
+      "ne_top_loc"
+    ],
+    "hmode_gated_note": "Trained on H-mode ticks only and undefined in L-mode; the graph emits a number anyway. Report them only where predictions[hmode] >= threshold; otherwise treat them as undefined, never as 0.",
+    "hmode_thresholds": {
+      "frozen": {
+        "balanced": 0.53,
+        "conservative": 0.47
+      },
+      "definitions": {
+        "balanced": "maximum Youden's J on validation (the best trade between missed H-mode and admitted L-mode ticks)",
+        "conservative": "the lowest threshold keeping L-mode ticks at or below 5 % of admitted validation ticks"
+      },
+      "set_on": "the mean of the eight finals' hmode logits, in-era validation split",
+      "source": "receipts/G7_export_inputs/hmode_thresholds_both_forms.json (DECISIONS D64)",
+      "source_sha256": "b9c027ec369a251dcb48bbc7c444bc39628d9e9ad24b35bc1ce1845705b6a3d1",
+      "note": "Gate the four H-mode-only heads on predictions[hmode] >= threshold; MODEL_CARD.md \u00a76."
+    }
+  },
+  "graphs": {
+    "step": {
+      "file": "fuse_efit_averaged_step.onnx",
+      "purpose": "one 50 ms tick per call; unbounded shot length",
+      "inputs": {
+        "inputs": [
+          "batch",
+          25
+        ],
+        "indicators": [
+          "batch",
+          5
+        ],
+        "available": [
+          "batch",
+          25
+        ],
+        "conv_state": [
+          48,
+          "batch",
+          1792,
+          3
+        ],
+        "ssm_state": [
+          48,
+          "batch",
+          12,
+          128,
+          64
+        ]
+      },
+      "outputs": {
+        "predictions": [
+          "batch",
+          9
+        ],
+        "conv_state_out": [
+          48,
+          "batch",
+          1792,
+          3
+        ],
+        "ssm_state_out": [
+          48,
+          "batch",
+          12,
+          128,
+          64
+        ]
+      }
+    },
+    "sequence": {
+      "file": "fuse_efit_averaged_sequence.onnx",
+      "seq_len": 256,
+      "purpose": "a whole window of exactly seq_len ticks; right-pad a shorter shot (any finite values, indicators 1) and keep the first K outputs, which is exact because the model is causal; use the step graph for longer shots",
+      "inputs": {
+        "inputs": [
+          "batch",
+          256,
+          25
+        ],
+        "indicators": [
+          "batch",
+          256,
+          5
+        ],
+        "available": [
+          "batch",
+          25
+        ]
+      },
+      "outputs": {
+        "predictions": [
+          "batch",
+          256,
+          9
+        ]
+      }
+    }
+  },
+  "state": {
+    "conv_state": [
+      "n_members x n_layers",
+      "batch",
+      1792,
+      3
+    ],
+    "ssm_state": [
+      "n_members x n_layers",
+      "batch",
+      12,
+      128,
+      64
+    ],
+    "leading_axis": 48,
+    "n_members": 8,
+    "n_layers": 6,
+    "initial": "all zeros at the start of every shot",
+    "bytes_per_shot": 19906560,
+    "note": "Opaque: store what the step graph returns and pass it back on the next call. The two forms differ only in the leading axis of these two tensors."
+  },
+  "architecture": {
+    "family": "Mamba-2 state-space sequence model",
+    "d_model": 768,
+    "n_layers": 6,
+    "d_state": 64,
+    "d_conv": 4,
+    "expand": 2,
+    "headdim": 128,
+    "nheads": 12,
+    "ngroups": 2,
+    "d_inner": 1536,
+    "conv_dim": 1792,
+    "chunk_size": 100,
+    "n_inputs_trunk": 30,
+    "n_params_per_member": 22882785,
+    "n_members": 8
+  },
+  "input_transform": {
+    "clip_sigma": 20.0,
+    "std_floor": 1e-06,
+    "file": "norms.json",
+    "applied": "inside the graphs"
+  },
+  "dtype": "float32",
+  "onnx_opset": 17,
+  "documentation": "docs/EXPORT.md, docs/INPUT_CONTRACT.md, MODEL_CARD.md"
+}

era/averaged/norms.json

@@ -0,0 +1,294 @@
+{
+  "schema_version": 1,
+  "note": "The statistics baked into the graphs, for inspection and for reproducing the transform outside them. A host does not need this file to run the model.",
+  "input_transform": "z = clip((x - mean) / std, -clip_sigma, +clip_sigma) per channel, x in physical units; not-a-number -> 0; then z -> 0 where the channel is unavailable or a governing indicator is 0",
+  "clip_sigma": 20.0,
+  "std_floor": 1e-06,
+  "inputs": {
+    "names": [
+      "pinj",
+      "tinj",
+      "ech_mw",
+      "gasa_cal",
+      "gasb_cal",
+      "gasc_cal",
+      "gasd_cal",
+      "gase_cal",
+      "bt",
+      "ip",
+      "aminor",
+      "rsurf",
+      "zsurf",
+      "kappa",
+      "tritop",
+      "tribot",
+      "drsep",
+      "rvsout",
+      "gapin",
+      "rvsou",
+      "rvsiu",
+      "shafranov",
+      "zeta_ou",
+      "zeta_ol",
+      "vloop"
+    ],
+    "units": [
+      "MW",
+      "N m",
+      "MW",
+      "Torr L/s",
+      "Torr L/s",
+      "Torr L/s",
+      "Torr L/s",
+      "Torr L/s",
+      "T",
+      "MA",
+      "m",
+      "m",
+      "m",
+      "dimensionless",
+      "dimensionless",
+      "dimensionless",
+      "m",
+      "m",
+      "m",
+      "m",
+      "m",
+      "m",
+      "dimensionless",
+      "dimensionless",
+      "V"
+    ],
+    "mean": [
+      3.942431288688486,
+      2.2096625295179186,
+      0.4654761552810669,
+      15.061767862270832,
+      1.4919341408834326,
+      0.23709206776972092,
+      0.5197598621986353,
+      0.021391137846201724,
+      -0.9720653400720033,
+      0.8316150307655334,
+      0.589589536190033,
+      1.677773356437683,
+      -0.05055605247616768,
+      1.7517046928405762,
+      0.3966327905654907,
+      0.5042979121208191,
+      -0.015922507271170616,
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+      1.3273015022277832,
+      1.0669854879379272,
+      0.06224634870886803,
+      -0.12007330358028412,
+      -0.18449491262435913,
+      0.38771408796310425
+    ],
+    "std": [
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+      2.217424308626617,
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+      6.993835352190119,
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+      0.03295154869556427,
+      0.054369814693927765,
+      0.10875540971755981,
+      0.7761709094047546
+    ]
+  },
+  "stages": {
+    "note": "The composed statistics above are stage 2 applied after stage 1: mean = m1 + s1 * m2, std = s1 * s2. Stage 1 is the dataset's stored scale (identity except for the beam, gas and field channels); stage 2 is the in-era training-split standardisation.",
+    "stage1_physical_to_stored": {
+      "mean": [
+        2.8111997039100878,
+        2.154143940948575,
+        0.0,
+        14.89178144369171,
+        1.9421402622606716,
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+        1.0383906373403984,
+        0.3920832239686922,
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+        0.0,
+        0.0,
+        0.0,
+        0.0,
+        0.0,
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+      ],
+      "std": [
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+        1.0,
+        1.0,
+        1.0,
+        1.0,
+        1.0,
+        1.0
+      ]
+    },
+    "stage2_stored_to_model": {
+      "mean": [
+        0.005828561261296272,
+        0.023440929129719734,
+        0.4654761552810669,
+        0.006229076534509659,
+        -0.040586844086647034,
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+        0.06224634870886803,
+        -0.12007330358028412,
+        -0.18449491262435913,
+        0.38771408796310425
+      ],
+      "std": [
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+        0.9441152811050415,
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+        0.06496237963438034,
+        0.12265536934137344,
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+        0.03295154869556427,
+        0.054369814693927765,
+        0.10875540971755981,
+        0.7761709094047546
+      ]
+    }
+  },
+  "indicators": {
+    "names": [
+      "efit_valid",
+      "vloop_valid",
+      "rvsout_present",
+      "rvsou_present",
+      "rvsiu_present"
+    ],
+    "transform": "none: 0/1 passed as they are (read as 1 when > 0.5)"
+  },
+  "targets": {
+    "ne": {
+      "mean": 2.75117452029956,
+      "std": 1.6541537951642646,
+      "unit": "1e19 m^-3"
+    },
+    "te_ped": {
+      "mean": 0.5915626266199993,
+      "std": 0.43467429211593894,
+      "unit": "keV"
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era/averaged/provenance.json

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s1/fuse29_seq.onnx → era/single/fuse_efit_single_sequence.onnx

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s1/fuse29_step.onnx → era/single/fuse_efit_single_step.onnx

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era/single/input_ranges.json

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+    },
+    "vloop": {
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+      "n_ticks": 2721294,
+      "n_shots_available": 29473,
+      "mean": 0.3860928196706128,
+      "std": 0.8461846896364685,
+      "min": -11.052228927612305,
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+        "99.9": 4.445908463478533
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+    }
+  },
+  "indicators": {
+    "efit_valid": {
+      "fraction_of_ticks_1": 0.9629951780292758
+    },
+    "vloop_valid": {
+      "fraction_of_ticks_1": 1.0
+    },
+    "rvsout_present": {
+      "fraction_of_ticks_1": 0.8557035733735495
+    },
+    "rvsou_present": {
+      "fraction_of_ticks_1": 0.5477805779162414
+    },
+    "rvsiu_present": {
+      "fraction_of_ticks_1": 0.5445288160705899
+    }
+  },
+  "units_check_rule": {
+    "span": "[pct 0.1, pct 99.9]",
+    "suspect_if_outside": "[pct0.1 - 3 * span_width, pct99.9 + 3 * span_width]",
+    "span_factor": 3.0,
+    "note": "a smoke test for unit errors, not a distribution-shift detector"
+  },
+  "dataset": {
+    "root": "/lus/flare/projects/fusiondl_aesp/d3d_fuse_efit_v1",
+    "metadata_sha256": "306076a91e9853f61cbcec46ea9cf4e999760e7d02e887a3e4d90f6b6e6ed46c",
+    "stage1_sha256": "313005ab7d2db432f1048c6c8aaba600edd39b447a85cf355e0e7f564e59b7e7"
+  },
+  "written_utc": "2026-11-08T22:50:46Z"
+}

era/single/model_config.json

@@ -0,0 +1,449 @@
+{
+  "schema_version": 1,
+  "model": "FUSE-EFIT",
+  "protocol": "in era (random split of shots 125500-205774; DECISIONS D50, D55)",
+  "form": "single",
+  "form_meaning": "single: replicate 0 of the in-era finals, the frozen delivered network",
+  "members": [
+    {
+      "run": "runs/FULLextfinal_era_r0",
+      "replicate": 0,
+      "seed": 100,
+      "checkpoint_sha256": "28390d5950ec18477394a85dc73498afa0f847502514251b7c96c97569632d96",
+      "config_sha256": "ddec260834c0f5fdaa5303382140e9c0bca1e3028ccd478c2c2a65f62d6f2398",
+      "trained_code_sha256": "1095cd5859ce819840f3e35ead3243d28aae832dbd3f54b04b90d98330493290"
+    }
+  ],
+  "cadence": {
+    "period_ms": 50.0,
+    "hz": 20,
+    "rule": "one step-graph call per 50 ms of simulated time; each tick describes the trailing interval (t - 50 ms, t]; reset the state to zeros at the start of every shot"
+  },
+  "inputs": {
+    "inputs": {
+      "shape": [
+        "batch",
+        25
+      ],
+      "dtype": "float32",
+      "names": [
+        "pinj",
+        "tinj",
+        "ech_mw",
+        "gasa_cal",
+        "gasb_cal",
+        "gasc_cal",
+        "gasd_cal",
+        "gase_cal",
+        "bt",
+        "ip",
+        "aminor",
+        "rsurf",
+        "zsurf",
+        "kappa",
+        "tritop",
+        "tribot",
+        "drsep",
+        "rvsout",
+        "gapin",
+        "rvsou",
+        "rvsiu",
+        "shafranov",
+        "zeta_ou",
+        "zeta_ol",
+        "vloop"
+      ],
+      "units": {
+        "pinj": "MW",
+        "tinj": "N m",
+        "ech_mw": "MW",
+        "gasa_cal": "Torr L/s",
+        "gasb_cal": "Torr L/s",
+        "gasc_cal": "Torr L/s",
+        "gasd_cal": "Torr L/s",
+        "gase_cal": "Torr L/s",
+        "bt": "T",
+        "ip": "MA",
+        "aminor": "m",
+        "rsurf": "m",
+        "zsurf": "m",
+        "kappa": "dimensionless",
+        "tritop": "dimensionless",
+        "tribot": "dimensionless",
+        "drsep": "m",
+        "rvsout": "m",
+        "gapin": "m",
+        "rvsou": "m",
+        "rvsiu": "m",
+        "shafranov": "m",
+        "zeta_ou": "dimensionless",
+        "zeta_ol": "dimensionless",
+        "vloop": "V"
+      },
+      "sources": {
+        "pinj": "PtData bmspinj: neutral-beam injected power, all sources",
+        "tinj": "PtData bmstinj: neutral-beam injected torque",
+        "ech_mw": "MDSplus \\RF::ECHPWRC: calibrated total ECH power injected",
+        "gasa_cal": "MDSplus NEUTRALS GASFLOW.GASA:FLOW: calibrated gas flow, valve A",
+        "gasb_cal": "MDSplus NEUTRALS GASFLOW.GASB:FLOW: calibrated gas flow, valve B",
+        "gasc_cal": "MDSplus NEUTRALS GASFLOW.GASC:FLOW: calibrated gas flow, valve C",
+        "gasd_cal": "MDSplus NEUTRALS GASFLOW.GASD:FLOW: calibrated gas flow, valve D",
+        "gase_cal": "MDSplus NEUTRALS GASFLOW.GASE:FLOW: calibrated gas flow, valve E",
+        "bt": "PtData bt: vacuum toroidal field, signed",
+        "ip": "PtData ip: measured plasma current (amperes / 1e6)",
+        "aminor": "EFIT01 AMINOR: minor radius",
+        "rsurf": "EFIT01 RSURF: major radius of the boundary's geometric centre",
+        "zsurf": "EFIT01 ZSURF: height of the boundary's geometric centre",
+        "kappa": "EFIT01 KAPPA: elongation",
+        "tritop": "EFIT01 TRITOP: upper triangularity",
+        "tribot": "EFIT01 TRIBOT: lower triangularity",
+        "drsep": "EFIT01 DRSEP: separatrix separation at the outer midplane, clipped to +-0.1 m per slice",
+        "rvsout": "EFIT01 RVSOUT: major radius of the outer (lower) strike point",
+        "gapin": "EFIT01 GAPIN: inner gap",
+        "rvsou": "EFIT01 RVSOU: major radius of the upper outer strike point",
+        "rvsiu": "EFIT01 RVSIU: major radius of the upper inner strike point",
+        "shafranov": "EFIT01 R0 - RSURF: Shafranov shift",
+        "zeta_ou": "Luce squareness, outer-upper quadrant, from the EFIT01 boundary vertices",
+        "zeta_ol": "Luce squareness, outer-lower quadrant, from the EFIT01 boundary vertices",
+        "vloop": "PtData VLOOP: loop voltage"
+      },
+      "grid_rule": {
+        "pinj": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "tinj": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "ech_mw": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "gasa_cal": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "gasb_cal": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "gasc_cal": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "gasd_cal": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "gase_cal": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "bt": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "ip": "plain mean of the three newest 20 ms samples at or before the tick, after a causal low-pass and hold onto 20 ms (INPUT_CONTRACT 3.1)",
+        "aminor": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "rsurf": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "zsurf": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "kappa": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "tritop": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "tribot": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "drsep": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "rvsout": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "gapin": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "rvsou": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "rvsiu": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "shafranov": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "zeta_ou": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "zeta_ol": "mean of the per-slice values of the EFIT01 slices in (t - 50 ms, t] (INPUT_CONTRACT 3.2)",
+        "vloop": "mean of the native samples in (t - 50 ms, t] (INPUT_CONTRACT 3.3)"
+      },
+      "zeroed_when_indicator_is_0": {
+        "pinj": [],
+        "tinj": [],
+        "ech_mw": [],
+        "gasa_cal": [],
+        "gasb_cal": [],
+        "gasc_cal": [],
+        "gasd_cal": [],
+        "gase_cal": [],
+        "bt": [],
+        "ip": [],
+        "aminor": [
+          "efit_valid"
+        ],
+        "rsurf": [
+          "efit_valid"
+        ],
+        "zsurf": [
+          "efit_valid"
+        ],
+        "kappa": [
+          "efit_valid"
+        ],
+        "tritop": [
+          "efit_valid"
+        ],
+        "tribot": [
+          "efit_valid"
+        ],
+        "drsep": [
+          "efit_valid"
+        ],
+        "rvsout": [
+          "efit_valid",
+          "rvsout_present"
+        ],
+        "gapin": [
+          "efit_valid"
+        ],
+        "rvsou": [
+          "efit_valid",
+          "rvsou_present"
+        ],
+        "rvsiu": [
+          "efit_valid",
+          "rvsiu_present"
+        ],
+        "shafranov": [
+          "efit_valid"
+        ],
+        "zeta_ou": [
+          "efit_valid"
+        ],
+        "zeta_ol": [
+          "efit_valid"
+        ],
+        "vloop": [
+          "vloop_valid"
+        ]
+      },
+      "note": "Physical units, contract order (docs/INPUT_CONTRACT.md \u00a72). Where a governing indicator is 0 the value is ignored (any number, or NaN). NaN anywhere is read as the training mean, so never pass NaN for a value you have."
+    },
+    "indicators": {
+      "shape": [
+        "batch",
+        5
+      ],
+      "dtype": "float32",
+      "values": "0 or 1, per tick",
+      "names": [
+        "efit_valid",
+        "vloop_valid",
+        "rvsout_present",
+        "rvsou_present",
+        "rvsiu_present"
+      ],
+      "meaning": {
+        "efit_valid": "1 when at least one usable EFIT slice lies in (t - 50 ms, t]; 0 otherwise",
+        "vloop_valid": "1 when at least one loop-voltage sample lies in (t - 50 ms, t]; 0 otherwise",
+        "rvsout_present": "1 when at least one slice in the window has a real outer strike point; 0 otherwise",
+        "rvsou_present": "1 when at least one slice in the window has a real upper outer strike point; 0 otherwise",
+        "rvsiu_present": "1 when at least one slice in the window has a real upper inner strike point; 0 otherwise"
+      }
+    },
+    "available": {
+      "shape": [
+        "batch",
+        25
+      ],
+      "dtype": "float32",
+      "values": "0 or 1, per shot",
+      "names": [
+        "pinj",
+        "tinj",
+        "ech_mw",
+        "gasa_cal",
+        "gasb_cal",
+        "gasc_cal",
+        "gasd_cal",
+        "gase_cal",
+        "bt",
+        "ip",
+        "aminor",
+        "rsurf",
+        "zsurf",
+        "kappa",
+        "tritop",
+        "tribot",
+        "drsep",
+        "rvsout",
+        "gapin",
+        "rvsou",
+        "rvsiu",
+        "shafranov",
+        "zeta_ou",
+        "zeta_ol",
+        "vloop"
+      ],
+      "default": 1,
+      "note": "1 = a usable record of this channel exists for the shot (the normal case). 0 = no record for the whole shot: the value is ignored and the model receives the flag, as it did in training for missing records. Keep it constant within a shot."
+    }
+  },
+  "outputs": {
+    "predictions": {
+      "shape": [
+        "batch",
+        9
+      ],
+      "dtype": "float32",
+      "names": [
+        "ne",
+        "te_ped",
+        "ti_ped",
+        "t_rot_ped",
+        "ne_knee",
+        "te_knee",
+        "rho_sym",
+        "ne_top_loc",
+        "hmode"
+      ],
+      "units": {
+        "ne": "1e19 m^-3",
+        "te_ped": "keV",
+        "ti_ped": "keV",
+        "t_rot_ped": "krad/s",
+        "ne_knee": "1e19 m^-3",
+        "te_knee": "keV",
+        "rho_sym": "rho (normalised radius)",
+        "ne_top_loc": "rho (normalised radius)",
+        "hmode": "probability in [0, 1]"
+      },
+      "meaning": {
+        "ne": "electron density at rho = 0.85",
+        "te_ped": "electron temperature at rho = 0.85",
+        "ti_ped": "ion temperature at rho = 0.85",
+        "t_rot_ped": "toroidal rotation at rho = 0.85",
+        "ne_knee": "electron density on the pedestal fit at its knee (H-mode only)",
+        "te_knee": "electron temperature on its pedestal fit at its knee (H-mode only)",
+        "rho_sym": "symmetry point of the density pedestal fit (H-mode only)",
+        "ne_top_loc": "knee (pedestal top) of the density pedestal fit (H-mode only)",
+        "hmode": "the plasma is in H-mode (sigmoid of the averaged or single logit)"
+      }
+    },
+    "hmode_gated_heads": [
+      "ne_knee",
+      "te_knee",
+      "rho_sym",
+      "ne_top_loc"
+    ],
+    "hmode_gated_note": "Trained on H-mode ticks only and undefined in L-mode; the graph emits a number anyway. Report them only where predictions[hmode] >= threshold; otherwise treat them as undefined, never as 0.",
+    "hmode_thresholds": {
+      "frozen": {
+        "balanced": 0.54,
+        "conservative": 0.5
+      },
+      "definitions": {
+        "balanced": "maximum Youden's J on validation (the best trade between missed H-mode and admitted L-mode ticks)",
+        "conservative": "the lowest threshold keeping L-mode ticks at or below 5 % of admitted validation ticks"
+      },
+      "set_on": "replicate 0, in-era validation split",
+      "source": "receipts/G5_freeze.md section 3; receipts/G5_freeze.json gate_thresholds.era",
+      "freeze_record_sha256": "1fbd776750736a6995a5de48b74b16bc13e0a2a1539972e46be23e8dbb49316e",
+      "note": "Gate the four H-mode-only heads on predictions[hmode] >= threshold; MODEL_CARD.md \u00a76."
+    }
+  },
+  "graphs": {
+    "step": {
+      "file": "fuse_efit_single_step.onnx",
+      "purpose": "one 50 ms tick per call; unbounded shot length",
+      "inputs": {
+        "inputs": [
+          "batch",
+          25
+        ],
+        "indicators": [
+          "batch",
+          5
+        ],
+        "available": [
+          "batch",
+          25
+        ],
+        "conv_state": [
+          6,
+          "batch",
+          1792,
+          3
+        ],
+        "ssm_state": [
+          6,
+          "batch",
+          12,
+          128,
+          64
+        ]
+      },
+      "outputs": {
+        "predictions": [
+          "batch",
+          9
+        ],
+        "conv_state_out": [
+          6,
+          "batch",
+          1792,
+          3
+        ],
+        "ssm_state_out": [
+          6,
+          "batch",
+          12,
+          128,
+          64
+        ]
+      }
+    },
+    "sequence": {
+      "file": "fuse_efit_single_sequence.onnx",
+      "seq_len": 256,
+      "purpose": "a whole window of exactly seq_len ticks; right-pad a shorter shot (any finite values, indicators 1) and keep the first K outputs, which is exact because the model is causal; use the step graph for longer shots",
+      "inputs": {
+        "inputs": [
+          "batch",
+          256,
+          25
+        ],
+        "indicators": [
+          "batch",
+          256,
+          5
+        ],
+        "available": [
+          "batch",
+          25
+        ]
+      },
+      "outputs": {
+        "predictions": [
+          "batch",
+          256,
+          9
+        ]
+      }
+    }
+  },
+  "state": {
+    "conv_state": [
+      "n_members x n_layers",
+      "batch",
+      1792,
+      3
+    ],
+    "ssm_state": [
+      "n_members x n_layers",
+      "batch",
+      12,
+      128,
+      64
+    ],
+    "leading_axis": 6,
+    "n_members": 1,
+    "n_layers": 6,
+    "initial": "all zeros at the start of every shot",
+    "bytes_per_shot": 2488320,
+    "note": "Opaque: store what the step graph returns and pass it back on the next call. The two forms differ only in the leading axis of these two tensors."
+  },
+  "architecture": {
+    "family": "Mamba-2 state-space sequence model",
+    "d_model": 768,
+    "n_layers": 6,
+    "d_state": 64,
+    "d_conv": 4,
+    "expand": 2,
+    "headdim": 128,
+    "nheads": 12,
+    "ngroups": 2,
+    "d_inner": 1536,
+    "conv_dim": 1792,
+    "chunk_size": 100,
+    "n_inputs_trunk": 30,
+    "n_params_per_member": 22882785,
+    "n_members": 1
+  },
+  "input_transform": {
+    "clip_sigma": 20.0,
+    "std_floor": 1e-06,
+    "file": "norms.json",
+    "applied": "inside the graphs"
+  },
+  "dtype": "float32",
+  "onnx_opset": 17,
+  "documentation": "docs/EXPORT.md, docs/INPUT_CONTRACT.md, MODEL_CARD.md"
+}

era/single/norms.json

@@ -0,0 +1,294 @@
+{
+  "schema_version": 1,
+  "note": "The statistics baked into the graphs, for inspection and for reproducing the transform outside them. A host does not need this file to run the model.",
+  "input_transform": "z = clip((x - mean) / std, -clip_sigma, +clip_sigma) per channel, x in physical units; not-a-number -> 0; then z -> 0 where the channel is unavailable or a governing indicator is 0",
+  "clip_sigma": 20.0,
+  "std_floor": 1e-06,
+  "inputs": {
+    "names": [
+      "pinj",
+      "tinj",
+      "ech_mw",
+      "gasa_cal",
+      "gasb_cal",
+      "gasc_cal",
+      "gasd_cal",
+      "gase_cal",
+      "bt",
+      "ip",
+      "aminor",
+      "rsurf",
+      "zsurf",
+      "kappa",
+      "tritop",
+      "tribot",
+      "drsep",
+      "rvsout",
+      "gapin",
+      "rvsou",
+      "rvsiu",
+      "shafranov",
+      "zeta_ou",
+      "zeta_ol",
+      "vloop"
+    ],
+    "units": [
+      "MW",
+      "N m",
+      "MW",
+      "Torr L/s",
+      "Torr L/s",
+      "Torr L/s",
+      "Torr L/s",
+      "Torr L/s",
+      "T",
+      "MA",
+      "m",
+      "m",
+      "m",
+      "dimensionless",
+      "dimensionless",
+      "dimensionless",
+      "m",
+      "m",
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+      "m",
+      "dimensionless",
+      "dimensionless",
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+  "stages": {
+    "note": "The composed statistics above are stage 2 applied after stage 1: mean = m1 + s1 * m2, std = s1 * s2. Stage 1 is the dataset's stored scale (identity except for the beam, gas and field channels); stage 2 is the in-era training-split standardisation.",
+    "stage1_physical_to_stored": {
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+  "indicators": {
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+      "efit_valid",
+      "vloop_valid",
+      "rvsout_present",
+      "rvsou_present",
+      "rvsiu_present"
+    ],
+    "transform": "none: 0/1 passed as they are (read as 1 when > 0.5)"
+  },
+  "targets": {
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+      "std": 1.6541537951642646,
+      "unit": "1e19 m^-3"
+    },
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+      "unit": "keV"
+    },
+    "t_rot_ped": {
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+      "std": 16.5914840454496,
+      "unit": "krad/s"
+    },
+    "ne_knee": {
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+      "std": 1.5067549102828321,
+      "unit": "1e19 m^-3"
+    },
+    "te_knee": {
+      "mean": 0.44874806504511355,
+      "std": 0.33939948718776175,
+      "unit": "keV"
+    },
+    "rho_sym": {
+      "mean": 0.9757616411014167,
+      "std": 0.04329206963559261,
+      "unit": "rho (normalised radius)"
+    },
+    "ne_top_loc": {
+      "mean": 0.9261865006629387,
+      "std": 0.04989716973523974,
+      "unit": "rho (normalised radius)"
+    }
+  },
+  "hmode": {
+    "transform": "probability = sigmoid(logit); in the averaged form the logit is the mean of the members' logits"
+  },
+  "source": {
+    "dataset_root": "/lus/flare/projects/fusiondl_aesp/d3d_fuse_efit_v1",
+    "norms_file": "norms.json",
+    "norms_sha256": "e28b8331a042054543dc97c49d977372012cfbb86119c276b536a1e945f5e926",
+    "stage1_sha256": "313005ab7d2db432f1048c6c8aaba600edd39b447a85cf355e0e7f564e59b7e7",
+    "metadata_sha256": "306076a91e9853f61cbcec46ea9cf4e999760e7d02e887a3e4d90f6b6e6ed46c"
+  }
+}

era/single/provenance.json

@@ -0,0 +1,80 @@
+{
+  "schema_version": 1,
+  "model": "FUSE-EFIT",
+  "form": "single",
+  "exported_utc": "2026-11-08T22:50:53Z",
+  "host": "x4217c6s0b0n0",
+  "members": [
+    {
+      "run": "runs/FULLextfinal_era_r0",
+      "replicate": 0,
+      "seed": 100,
+      "checkpoint_sha256": "28390d5950ec18477394a85dc73498afa0f847502514251b7c96c97569632d96",
+      "config_sha256": "ddec260834c0f5fdaa5303382140e9c0bca1e3028ccd478c2c2a65f62d6f2398",
+      "trained_code_sha256": "1095cd5859ce819840f3e35ead3243d28aae832dbd3f54b04b90d98330493290"
+    }
+  ],
+  "freeze_record": {
+    "path": "receipts/G5_freeze.json",
+    "sha256": "1fbd776750736a6995a5de48b74b16bc13e0a2a1539972e46be23e8dbb49316e"
+  },
+  "dataset": {
+    "root": "/lus/flare/projects/fusiondl_aesp/d3d_fuse_efit_v1",
+    "norms_file": "norms.json",
+    "norms_sha256": "e28b8331a042054543dc97c49d977372012cfbb86119c276b536a1e945f5e926",
+    "stage1_sha256": "313005ab7d2db432f1048c6c8aaba600edd39b447a85cf355e0e7f564e59b7e7",
+    "metadata_sha256": "306076a91e9853f61cbcec46ea9cf4e999760e7d02e887a3e4d90f6b6e6ed46c"
+  },
+  "exporter": "torch.onnx.export, TorchScript path (dynamo=False), do_constant_folding",
+  "onnx_opset": 17,
+  "seq_len": 256,
+  "code": {
+    "code_sha256": "fdeb0962110362492e04d06d51af130c716c57c3050e7dfe13766177529730da",
+    "code_sha256_rule": "tools/code_snapshot.py: sha256 over fuse_efit/, tests/, tools/, pbs/",
+    "files": {
+      "examples/run_model.py": "aaff89b5f24096c80b43336baedabadff629b688b6543d8187792193c6795075",
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+      "fuse_efit/export/__init__.py": "404033894bba4772bbec986bb151f4478faa45fe9bf39c4d5e2722e85377517c",
+      "fuse_efit/export/contract.py": "de13fe7a8f39db77a351002fbcf8734db93251e0692b37292e842d022c20b561",
+      "fuse_efit/export/export_onnx.py": "cef50775b39f6164e4943305976665f386423d61a3a414fa751768007799e923",
+      "fuse_efit/export/graphs.py": "13056c2ebe06a104f94c83ebaea0752bf97941945e6797a8d49f8f3ce9861a4d",
+      "fuse_efit/export/input_ranges.py": "287d8cbf97163982a98e573e7dcb021fa29e860c4b4f20ac76a0870fdb1b1655",
+      "fuse_efit/export/make_reference.py": "dbd20fa4ffd5a2dbe668245f32c86171a2ecc349a768f95bc62c498d28d3d48e",
+      "fuse_efit/export/runtime.py": "a70d08d661ebbfd5b4992ff0a6598e28bbf04c1a674eb97589420985f3068a67",
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+      "fuse_efit/export/val_shots.py": "d26c4c20e7c95cae8f3204cc94e60fd897a932cb5db9b24733d0041f654981eb",
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+  },
+  "versions": {
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+    "python": "3.12.12",
+    "onnx": "1.23.1",
+    "onnxruntime": "1.30.0"
+  },
+  "platform": "Linux-6.4.0-150700.53.78-default-x86_64-with-glibc2.38",
+  "artifacts": {
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+      "sha256": "3ffc20851386cf7db9f81792e6b247d179229901c9e615d61c8982174e658c76"
+    },
+    "fuse_efit_single_sequence.onnx": {
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+      "sha256": "ddda4e5ed0c3c9aba626ccfea0115863c75d9b71c97b7e44a955919f77b3fac4"
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+      "sha256": "9e3ae66bbc5e1333cba705bfd7173ba189b19e32c86fbda64a5035d6ea80d9ac"
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+      "sha256": "487fa5c79f1e4f58db2df41b239d954e6006d4cc6118228ed9e4241189402ea9"
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+      "sha256": "03f5af87195cb7e9746a320bf0070d05b53234e54a6d2e012a6ebd346e64f98d"
+    }
+  }
+}

manifest.json

@@ -1,323 +1,70 @@
 {
-  "schema_version": 2,
-  "model": "fuse29",
-  "repo_id": "SCS-Lab/FUSE29-Pedestal-model",
-  "default_seed": 0,
-  "onnx_opset": 17,
-  "actuator_space": "physical",
-  "heads": [
-    "ne",
-    "te_ped",
-    "ti_ped",
-    "t_rot_ped",
-    "neped_prmtan",
-    "teped_prmtan",
-    "rho_sym",
-    "ne_top_loc",
-    "hmode"
-  ],
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+  "prepared_utc": "2026-11-09T16:40:37Z"
 }

s0/README.md

@@ -1,56 +0,0 @@
----
-license: mit
-library_name: onnx
-tags:
-  - onnx
-  - fusion
-  - plasma-physics
-  - tokamak
-  - diii-d
-  - mamba
----
-
-# fuse29 — seed 0
-
-**This is the champion seed and the default.** `Fuse29Predictor.from_pretrained()` with no seed argument loads it, and every number in the root model card refers to it.
-
-29-input Mamba-2 pedestal predictor for DIII-D. Raw physical units in,
-physical units out. See the [root model card](https://huggingface.co/SCS-Lab/FUSE29-Pedestal-model)
-for the full description, I/O contract, accuracy and limitations.
-
-| | |
-|---|---|
-| Seed | 0 |
-| Parameters | 11,254,425 |
-| Best validation loss | 1.1169 |
-| Sequence graph length | 256 ticks |
-| ONNX opset | 17 |
-| Exported | 2026-09-03T00:46:21.979021+00:00 |
-| Source checkpoint SHA-256 | `875ff7248c0bfde3…` |
-
-## Load
-
-```python
-from fuse29.runtime import Fuse29Predictor
-
-predictor = Fuse29Predictor.from_pretrained("SCS-Lab/FUSE29-Pedestal-model", seed=0)
-```
-
-## Files
-
-| File | |
-|---|---|
-| `fuse29_step.onnx` | one 50 ms tick, carries state, no length limit |
-| `fuse29_seq.onnx` | whole shot at a fixed 256 ticks |
-| `model_config.json` | I/O contract: names, order, units, sources, shapes |
-| `norms.json` | the statistics baked into the graphs |
-| `actuator_ranges.json` | training-split distribution, for checking your units |
-| `provenance.json` | source checkpoint hash, library versions, artefact hashes |
-
-## Before you use it
-
-- Four heads (`neped_prmtan`, `teped_prmtan`, `rho_sym`, `ne_top_loc`) are
-  **only valid in H-mode** and the graph does not gate them. Gate on the
-  model's own `hmode` output.
-- `pinj` is in **MW**, not W. Run `predictor.check_units(shot)` once.
-- Output column order is not alphabetical. See `model_config.json`.

s0/actuator_ranges.json

@@ -1,600 +0,0 @@
-{
-  "schema_version": 1,
-  "note": "Physical-units distribution of each actuator over the training split. Use it to check that your signals are in the units the graph expects; a unit error is the one preprocessing mistake that produces confident nonsense rather than an exception.",
-  "split": "train",
-  "n_shots": 32731,
-  "n_ticks": 3020926,
-  "percentiles": [
-    0.1,
-    1,
-    5,
-    25,
-    50,
-    75,
-    95,
-    99,
-    99.9
-  ],
-  "channels": {
-    "pinj": {
-      "units": "MW",
-      "source": "ptdata:bmspinj",
-      "description": "Neutral beam injected power, all sources.",
-      "min": -46005.02701919088,
-      "max": 17.512712760455507,
-      "mean": 3.838883638381958,
-      "std": 3.0613932609558105,
-      "pct": {
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-        "1": 4.112187479421436e-09,
-        "5": 4.112187479421436e-09,
-        "25": 1.311169336894574,
-        "50": 3.18466408866965,
-        "75": 5.748764762873332,
-        "95": 9.841882532311711,
-        "99": 12.212702351352696,
-        "99.9": 14.791924355083399
-      }
-    },
-    "tinj": {
-      "units": "N*m",
-      "source": "ptdata:bmstinj",
-      "description": "Neutral beam injected torque, all sources.",
-      "min": -56.644382966354534,
-      "max": 129.9833380295058,
-      "mean": 2.2043209075927734,
-      "std": 2.11222505569458,
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-        "1": -0.5384317586520496,
-        "5": -1.6338495756329507e-07,
-        "25": 0.4319133403840452,
-        "50": 1.963846077087278,
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-        "95": 6.641525317445799,
-        "99": 8.941231792062355,
-        "99.9": 11.156712776956862
-      }
-    },
-    "ech_total": {
-      "units": "MW",
-      "source": "ptdata:ECHPWR",
-      "description": "Total electron cyclotron heating power (see note in docs/PREPROCESSING.md on this channel's scaling).",
-      "min": -19.31181996542309,
-      "max": 40.286455582885246,
-      "mean": 2.6981112957000732,
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-        "95": 21.558252060431304,
-        "99": 30.476182922859127,
-        "99.9": 37.09168917133024
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-    },
-    "f1a": {
-      "units": "A",
-      "source": "ptdata:F1A",
-      "description": "Shaping F-coil F1A current (bank A).",
-      "min": -5776.925892871883,
-      "max": 5794.3504737288395,
-      "mean": -1382.3704833984375,
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-        "95": 1294.4315819071094,
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-        "99.9": 4467.289606367005
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-    "f2a": {
-      "units": "A",
-      "source": "ptdata:F2A",
-      "description": "Shaping F-coil F2A current (bank A).",
-      "min": -5716.347659616551,
-      "max": 5702.840977614059,
-      "mean": -1229.876708984375,
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-    "gasa_cal": {
-      "units": "Torr*L/s",
-      "source": "tree:NEUTRALS GASFLOW.GASA:FLOW",
-      "description": "Calibrated gas injection flow, valve A.",
-      "min": -0.9805486760911233,
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-      "source": "tree:NEUTRALS GASFLOW.GASB:FLOW",
-      "description": "Calibrated gas injection flow, valve B.",
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-      "source": "tree:NEUTRALS GASFLOW.GASC:FLOW",
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-    "gasd_cal": {
-      "units": "Torr*L/s",
-      "source": "tree:NEUTRALS GASFLOW.GASD:FLOW",
-      "description": "Calibrated gas injection flow, valve D.",
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-    "gase_cal": {
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-      "source": "tree:NEUTRALS GASFLOW.GASE:FLOW",
-      "description": "Calibrated gas injection flow, valve E.",
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-    "bt": {
-      "units": "T",
-      "source": "ptdata:bt",
-      "description": "Vacuum toroidal magnetic field (signed).",
-      "min": -2.2353815075115375,
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-    }
-  }
-}

s0/model_config.json

@@ -1,268 +0,0 @@
-{
-  "schema_version": 1,
-  "model": "fuse29",
-  "seed": 0,
-  "description": "29-input Mamba-2 pedestal predictor for DIII-D. Strictly causal, 20 Hz, nine heads at rho_tor = 0.85.",
-  "architecture": {
-    "family": "Mamba-2 (structured state-space duality)",
-    "d_model": 512,
-    "n_layers": 6,
-    "d_state": 128,
-    "d_conv": 4,
-    "expand": 2,
-    "headdim": 128,
-    "nheads": 8,
-    "ngroups": 2,
-    "chunk_size": 100,
-    "d_inner": 1024,
-    "conv_dim": 1536,
-    "n_params": 11254425
-  },
-  "cadence": {
-    "hz": 20,
-    "period_ms": 50.0,
-    "rho_tor": 0.85
-  },
-  "inputs": {
-    "names": [
-      "pinj",
-      "tinj",
-      "ech_total",
-      "f1a",
-      "f2a",
-      "f3a",
-      "f4a",
-      "f5a",
-      "f6a",
-      "f7a",
-      "f8a",
-      "f9a",
-      "f1b",
-      "f2b",
-      "f3b",
-      "f4b",
-      "f5b",
-      "f6b",
-      "f7b",
-      "f8b",
-      "f9b",
-      "ecoila",
-      "ecoilb",
-      "gasa_cal",
-      "gasb_cal",
-      "gasc_cal",
-      "gasd_cal",
-      "gase_cal",
-      "bt"
-    ],
-    "n": 29,
-    "units": {
-      "pinj": "MW",
-      "tinj": "N*m",
-      "ech_total": "MW",
-      "f1a": "A",
-      "f2a": "A",
-      "f3a": "A",
-      "f4a": "A",
-      "f5a": "A",
-      "f6a": "A",
-      "f7a": "A",
-      "f8a": "A",
-      "f9a": "A",
-      "f1b": "A",
-      "f2b": "A",
-      "f3b": "A",
-      "f4b": "A",
-      "f5b": "A",
-      "f6b": "A",
-      "f7b": "A",
-      "f8b": "A",
-      "f9b": "A",
-      "ecoila": "A",
-      "ecoilb": "A",
-      "gasa_cal": "Torr*L/s",
-      "gasb_cal": "Torr*L/s",
-      "gasc_cal": "Torr*L/s",
-      "gasd_cal": "Torr*L/s",
-      "gase_cal": "Torr*L/s",
-      "bt": "T"
-    },
-    "sources": {
-      "pinj": "ptdata:bmspinj",
-      "tinj": "ptdata:bmstinj",
-      "ech_total": "ptdata:ECHPWR",
-      "f1a": "ptdata:F1A",
-      "f2a": "ptdata:F2A",
-      "f3a": "ptdata:F3A",
-      "f4a": "ptdata:F4A",
-      "f5a": "ptdata:F5A",
-      "f6a": "ptdata:F6A",
-      "f7a": "ptdata:F7A",
-      "f8a": "ptdata:F8A",
-      "f9a": "ptdata:F9A",
-      "f1b": "ptdata:F1B",
-      "f2b": "ptdata:F2B",
-      "f3b": "ptdata:F3B",
-      "f4b": "ptdata:F4B",
-      "f5b": "ptdata:F5B",
-      "f6b": "ptdata:F6B",
-      "f7b": "ptdata:F7B",
-      "f8b": "ptdata:F8B",
-      "f9b": "ptdata:F9B",
-      "ecoila": "ptdata:ECOILA",
-      "ecoilb": "ptdata:ECOILB",
-      "gasa_cal": "tree:NEUTRALS GASFLOW.GASA:FLOW",
-      "gasb_cal": "tree:NEUTRALS GASFLOW.GASB:FLOW",
-      "gasc_cal": "tree:NEUTRALS GASFLOW.GASC:FLOW",
-      "gasd_cal": "tree:NEUTRALS GASFLOW.GASD:FLOW",
-      "gase_cal": "tree:NEUTRALS GASFLOW.GASE:FLOW",
-      "bt": "ptdata:bt"
-    },
-    "descriptions": {
-      "pinj": "Neutral beam injected power, all sources.",
-      "tinj": "Neutral beam injected torque, all sources.",
-      "ech_total": "Total electron cyclotron heating power (see note in docs/PREPROCESSING.md on this channel's scaling).",
-      "f1a": "Shaping F-coil F1A current (bank A).",
-      "f2a": "Shaping F-coil F2A current (bank A).",
-      "f3a": "Shaping F-coil F3A current (bank A).",
-      "f4a": "Shaping F-coil F4A current (bank A).",
-      "f5a": "Shaping F-coil F5A current (bank A).",
-      "f6a": "Shaping F-coil F6A current (bank A).",
-      "f7a": "Shaping F-coil F7A current (bank A).",
-      "f8a": "Shaping F-coil F8A current (bank A).",
-      "f9a": "Shaping F-coil F9A current (bank A).",
-      "f1b": "Shaping F-coil F1B current (bank B).",
-      "f2b": "Shaping F-coil F2B current (bank B).",
-      "f3b": "Shaping F-coil F3B current (bank B).",
-      "f4b": "Shaping F-coil F4B current (bank B).",
-      "f5b": "Shaping F-coil F5B current (bank B).",
-      "f6b": "Shaping F-coil F6B current (bank B).",
-      "f7b": "Shaping F-coil F7B current (bank B).",
-      "f8b": "Shaping F-coil F8B current (bank B).",
-      "f9b": "Shaping F-coil F9B current (bank B).",
-      "ecoila": "Ohmic E-coil bank A current.",
-      "ecoilb": "Ohmic E-coil bank B current.",
-      "gasa_cal": "Calibrated gas injection flow, valve A.",
-      "gasb_cal": "Calibrated gas injection flow, valve B.",
-      "gasc_cal": "Calibrated gas injection flow, valve C.",
-      "gasd_cal": "Calibrated gas injection flow, valve D.",
-      "gase_cal": "Calibrated gas injection flow, valve E.",
-      "bt": "Vacuum toroidal magnetic field (signed)."
-    },
-    "space": "raw physical units; the graph applies the z-score",
-    "note": "Check your units against actuator_ranges.json before trusting any output. A unit error produces confident nonsense rather than an exception."
-  },
-  "outputs": {
-    "names": [
-      "ne",
-      "te_ped",
-      "ti_ped",
-      "t_rot_ped",
-      "neped_prmtan",
-      "teped_prmtan",
-      "rho_sym",
-      "ne_top_loc",
-      "hmode"
-    ],
-    "n": 9,
-    "units": {
-      "ne": "1e19 m^-3",
-      "te_ped": "keV",
-      "ti_ped": "keV",
-      "t_rot_ped": "krad/s",
-      "neped_prmtan": "1e19 m^-3",
-      "teped_prmtan": "keV",
-      "rho_sym": "rho_tor (dimensionless)",
-      "ne_top_loc": "rho_tor (dimensionless)",
-      "hmode": "probability in [0, 1]"
-    },
-    "note": "Physical units. hmode is a probability in [0, 1]; the graph applies the sigmoid.",
-    "hmode_gated": {
-      "heads": [
-        "neped_prmtan",
-        "teped_prmtan",
-        "rho_sym",
-        "ne_top_loc"
-      ],
-      "indices": [
-        4,
-        5,
-        6,
-        7
-      ],
-      "threshold": 0.5,
-      "note": "These four heads were trained only on H-mode rows and are undefined otherwise. The graph does NOT gate them; the consumer must, using the model's own hmode output. See docs/GATING.md."
-    }
-  },
-  "graphs": {
-    "fuse29_step.onnx": {
-      "purpose": "real-time, one 50 ms tick per call",
-      "inputs": {
-        "actuators": [
-          "batch",
-          29
-        ],
-        "conv_state": [
-          6,
-          "batch",
-          1536,
-          3
-        ],
-        "ssm_state": [
-          6,
-          "batch",
-          8,
-          128,
-          128
-        ]
-      },
-      "outputs": {
-        "predictions": [
-          "batch",
-          9
-        ],
-        "conv_state_out": [
-          6,
-          "batch",
-          1536,
-          3
-        ],
-        "ssm_state_out": [
-          6,
-          "batch",
-          8,
-          128,
-          128
-        ]
-      },
-      "initial_state": "all zeros at the start of a shot",
-      "max_shot_length": "unbounded"
-    },
-    "fuse29_seq.onnx": {
-      "purpose": "offline scoring of a whole shot",
-      "inputs": {
-        "actuators": [
-          "batch",
-          256,
-          29
-        ]
-      },
-      "outputs": {
-        "predictions": [
-          "batch",
-          256,
-          9
-        ]
-      },
-      "seq_len": 256,
-      "note": "Sequence length is FIXED. Right-pad shorter shots with zeros and read the first T outputs; the model is strictly causal so this is exact. For longer shots use the step graph or re-export with --seq-len."
-    }
-  },
-  "dtype": "float32",
-  "onnx_opset": 17,
-  "training": {
-    "epoch": 19,
-    "val_loss": 1.1169083155691624,
-    "note": "See docs/TRAINING.md for the full recipe."
-  }
-}

s0/norms.json

@@ -1,292 +0,0 @@
-{
-  "schema_version": 2,
-  "note": "Statistics are baked into the shipped ONNX graphs. This file is for inspection and for reproducing the transform outside the graph; it is not required at inference time.",
-  "actuator_space": "physical",
-  "std_floor": 1e-06,
-  "clip_sigma": 20.0,
-  "provenance": {
-    "split": "train",
-    "n_shots": 32731,
-    "rho_index": 85,
-    "source": "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85, random stratified split (split_index.json)",
-    "note": "Recomputed on the NEW random train split. The source shards carried z-scores from the OLD chronological train split, whose shots overlap our test set. Actuator statistics are winsorised so a corrupted sample cannot set a channel's divisor.",
-    "inflated_channels": [
-      "pinj",
-      "gasc_cal",
-      "gasd_cal",
-      "gase_cal"
-    ],
-    "actuator_estimator": "winsorised to p1..p99",
-    "actuator_space": "physical",
-    "composed_from": [
-      "/lus/flare/projects/fusiondl_aesp/d3d_pedestal_fpe_harrisn85/normalization_params.json",
-      "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json"
-    ],
-    "composition": "z = (x_phys - (m1 + s1*m2)) / (s1*s2), where (m1, s1) is the upstream FPE z-score and (m2, s2) is this model's re-scale onto its own training split"
-  },
-  "actuators": {
-    "names": [
-      "pinj",
-      "tinj",
-      "ech_total",
-      "f1a",
-      "f2a",
-      "f3a",
-      "f4a",
-      "f5a",
-      "f6a",
-      "f7a",
-      "f8a",
-      "f9a",
-      "f1b",
-      "f2b",
-      "f3b",
-      "f4b",
-      "f5b",
-      "f6b",
-      "f7b",
-      "f8b",
-      "f9b",
-      "ecoila",
-      "ecoilb",
-      "gasa_cal",
-      "gasb_cal",
-      "gasc_cal",
-      "gasd_cal",
-      "gase_cal",
-      "bt"
-    ],
-    "mean": [
-      3.838883638381958,
-      2.2043209075927734,
-      2.6981112957000732,
-      -1382.3704833984375,
-      -1229.876708984375,
-      -592.7352294921875,
-      1098.1622314453125,
-      1173.57958984375,
-      -2493.411865234375,
-      -2367.570556640625,
-      996.0214233398438,
-      -535.8018798828125,
-      -1373.1888427734375,
-      -1218.50048828125,
-      -1005.3848266601562,
-      1124.2967529296875,
-      1443.536865234375,
-      -2463.248046875,
-      -2941.56005859375,
-      1431.05615234375,
-      -214.02586364746094,
-      -6965.32666015625,
-      -6876.16455078125,
-      15.054444313049316,
-      1.386172890663147,
-      0.35034820437431335,
-      0.528103232383728,
-      0.27696067094802856,
-      -0.971906840801239
-    ],
-    "std": [
-      3.0613932609558105,
-      2.11222505569458,
-      6.685519218444824,
-      1349.629638671875,
-      1248.3497314453125,
-      1185.706298828125,
-      1368.95458984375,
-      1352.103759765625,
-      1867.8076171875,
-      1999.19970703125,
-      1498.948974609375,
-      1258.01171875,
-      1367.82275390625,
-      1316.67724609375,
-      1308.8258056640625,
-      1519.5994873046875,
-      1408.3306884765625,
-      1836.4208984375,
-      2510.1083984375,
-      1718.2965087890625,
-      1388.83447265625,
-      18940.9453125,
-      18723.662109375,
-      26.369497299194336,
-      3.4090511798858643,
-      0.4470684826374054,
-      0.654624342918396,
-      0.17616958916187286,
-      1.6484158039093018
-    ],
-    "transform": "z = clip((x - mean) / std, -clip_sigma, +clip_sigma), applied inside the graph"
-  },
-  "targets": {
-    "ne": {
-      "mean": 2.7511744499206543,
-      "std": 1.654153823852539
-    },
-    "te_ped": {
-      "mean": 0.5915626287460327,
-      "std": 0.43467429280281067
-    },
-    "ti_ped": {
-      "mean": 1.016850233078003,
-      "std": 0.681096076965332
-    },
-    "t_rot_ped": {
-      "mean": 21.244613647460938,
-      "std": 16.59148406982422
-    },
-    "neped_prmtan": {
-      "mean": 2.7231285572052,
-      "std": 1.7005536556243896
-    },
-    "teped_prmtan": {
-      "mean": 0.46375223994255066,
-      "std": 0.36919456720352173
-    },
-    "rho_sym": {
-      "mean": 0.9757616519927979,
-      "std": 0.04329206794500351
-    },
-    "ne_top_loc": {
-      "mean": 0.9261865019798279,
-      "std": 0.049897171556949615
-    }
-  },
-  "hmode": {
-    "transform": "sigmoid",
-    "note": "hmode is a logit in the trunk; the graph applies the sigmoid."
-  },
-  "stages": {
-    "note": "The composed actuator statistics above are the product of these two. Shown for traceability; use the composed values.",
-    "stage1_physical_to_fpe_zscore": {
-      "mean": [
-        2.8111997039100878,
-        2.154143940948575,
-        2.159654935239209,
-        -1444.0438445123289,
-        -1315.1185221229061,
-        -639.741760304047,
-        1172.4978680515835,
-        1222.4970107268077,
-        -2488.8410961768263,
-        -2491.3739557685253,
-        1050.107386405324,
-        -578.9736547563273,
-        -1421.0817159358041,
-        -1285.3967398730092,
-        -1061.0290851406676,
-        1186.4795970820587,
-        1460.6822372728345,
-        -2452.093120847959,
-        -3071.3132492215186,
-        1531.3304960724108,
-        -262.6728625067526,
-        -6887.604056684089,
-        -6768.996463787789,
-        14.89178144369171,
-        1.9421402622606716,
-        0.7508911827356307,
-        1.0383906373403984,
-        0.3920832239686922,
-        -1.0310375752078498
-      ],
-      "std": [
-        194.08418888726106,
-        2.3684465859740262,
-        5.948083564785035,
-        1267.4907621702682,
-        1217.4478106828162,
-        1249.3915272640536,
-        1345.3871181128568,
-        1359.1934832307923,
-        1887.1891497052302,
-        1888.1014577442652,
-        1559.9875106371376,
-        1287.2118470203372,
-        1271.813282654729,
-        1259.8644805335082,
-        1361.9306367877398,
-        1521.172083160852,
-        1393.2120473032558,
-        1856.723912629122,
-        2432.8530409799628,
-        1705.6959050005082,
-        1421.8036451037203,
-        19092.148992270486,
-        18858.28389193975,
-        27.289184462156058,
-        11.092415079529571,
-        9.017289768908354,
-        12.055982101097918,
-        6.498888909025979,
-        1.599000778986496
-      ]
-    },
-    "stage2_fpe_zscore_to_model": {
-      "mean": [
-        0.0052950419485569,
-        0.02118559367954731,
-        0.0905260294675827,
-        0.04865782707929611,
-        0.0700167864561081,
-        0.03762352466583252,
-        -0.05525219440460205,
-        -0.03599006310105324,
-        -0.002421961398795247,
-        0.06557027250528336,
-        -0.03467077016830444,
-        0.03353898227214813,
-        0.03765711933374405,
-        0.05309795215725899,
-        0.040856875479221344,
-        -0.04087827727198601,
-        -0.012306398712098598,
-        -0.006007813848555088,
-        0.05333370715379715,
-        -0.05878793075680733,
-        0.03421499580144882,
-        -0.004070908762514591,
-        -0.00568280229344964,
-        0.005960696842521429,
-        -0.050121404230594635,
-        -0.04441944137215614,
-        -0.042326491326093674,
-        -0.017714189365506172,
-        0.036979787051677704
-      ],
-      "std": [
-        0.015773532912135124,
-        0.8918187022209167,
-        1.1239787340164185,
-        1.0648043155670166,
-        1.0253825187683105,
-        0.9490270018577576,
-        1.0175172090530396,
-        0.994783878326416,
-        0.9897299408912659,
-        1.0588412284851074,
-        0.9608724117279053,
-        0.9773152470588684,
-        1.0754902362823486,
-        1.04509437084198,
-        0.9610077142715454,
-        0.9989661574363708,
-        1.0108516216278076,
-        0.9890651702880859,
-        1.0317550897598267,
-        1.007387399673462,
-        0.9768117070198059,
-        0.9920803308486938,
-        0.9928614497184753,
-        0.9662984609603882,
-        0.30733174085617065,
-        0.04957903176546097,
-        0.05429871752858162,
-        0.02710764855146408,
-        1.030903697013855
-      ]
-    }
-  }
-}

s0/provenance.json

@@ -1,32 +0,0 @@
-{
-  "schema_version": 1,
-  "exported_utc": "2026-09-03T00:46:21.979021+00:00",
-  "seed": 0,
-  "source_checkpoint": "/flare/fusiondl_aesp/fuse_bd_model/fuse20/runs/fuse29r_s0/best_model.pt",
-  "source_checkpoint_sha256": "875ff7248c0bfde39c54e75d4638bd563f8f78b52dc26e294cdd308b116d13c7",
-  "norms_source": "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json",
-  "norms_actuator_space": "physical",
-  "norms_composed_from": [
-    "/lus/flare/projects/fusiondl_aesp/d3d_pedestal_fpe_harrisn85/normalization_params.json",
-    "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json"
-  ],
-  "onnx_opset": 17,
-  "exporter": "torch.onnx.export (TorchScript, dynamo=False)",
-  "versions": {
-    "torch": "2.10.0a0+git449b176",
-    "python": "3.12.12",
-    "platform": "Linux-5.14.21-150400.24.235-default-x86_64-with-glibc2.31",
-    "onnx": "1.22.0",
-    "onnxruntime": "1.29.0"
-  },
-  "artifacts": {
-    "fuse29_step.onnx": {
-      "bytes": 45081271,
-      "sha256": "9150698ab06af368eec857ea429191bf8a0593e9fd9d7e571bb7ce5bcbcf853a"
-    },
-    "fuse29_seq.onnx": {
-      "bytes": 45464382,
-      "sha256": "0274ad98cc51ee938422f3c9febd3c3cf3141a35d39ff2a62efeb75f9ce43577"
-    }
-  }
-}

s1/README.md

@@ -1,56 +0,0 @@
----
-license: mit
-library_name: onnx
-tags:
-  - onnx
-  - fusion
-  - plasma-physics
-  - tokamak
-  - diii-d
-  - mamba
----
-
-# fuse29 — seed 1
-
-This is seed 1, one of eight independently trained runs. Seed 0 is the champion and the default; this one exists so you can measure spread across training runs. Unless you are doing that, you want seed 0.
-
-29-input Mamba-2 pedestal predictor for DIII-D. Raw physical units in,
-physical units out. See the [root model card](https://huggingface.co/SCS-Lab/FUSE29-Pedestal-model)
-for the full description, I/O contract, accuracy and limitations.
-
-| | |
-|---|---|
-| Seed | 1 |
-| Parameters | 11,254,425 |
-| Best validation loss | 1.1129 |
-| Sequence graph length | 256 ticks |
-| ONNX opset | 17 |
-| Exported | 2026-09-03T00:46:24.670692+00:00 |
-| Source checkpoint SHA-256 | `a77e8a7359c47e1f…` |
-
-## Load
-
-```python
-from fuse29.runtime import Fuse29Predictor
-
-predictor = Fuse29Predictor.from_pretrained("SCS-Lab/FUSE29-Pedestal-model", seed=1)
-```
-
-## Files
-
-| File | |
-|---|---|
-| `fuse29_step.onnx` | one 50 ms tick, carries state, no length limit |
-| `fuse29_seq.onnx` | whole shot at a fixed 256 ticks |
-| `model_config.json` | I/O contract: names, order, units, sources, shapes |
-| `norms.json` | the statistics baked into the graphs |
-| `actuator_ranges.json` | training-split distribution, for checking your units |
-| `provenance.json` | source checkpoint hash, library versions, artefact hashes |
-
-## Before you use it
-
-- Four heads (`neped_prmtan`, `teped_prmtan`, `rho_sym`, `ne_top_loc`) are
-  **only valid in H-mode** and the graph does not gate them. Gate on the
-  model's own `hmode` output.
-- `pinj` is in **MW**, not W. Run `predictor.check_units(shot)` once.
-- Output column order is not alphabetical. See `model_config.json`.

s1/actuator_ranges.json

@@ -1,600 +0,0 @@
-{
-  "schema_version": 1,
-  "note": "Physical-units distribution of each actuator over the training split. Use it to check that your signals are in the units the graph expects; a unit error is the one preprocessing mistake that produces confident nonsense rather than an exception.",
-  "split": "train",
-  "n_shots": 32731,
-  "n_ticks": 3020926,
-  "percentiles": [
-    0.1,
-    1,
-    5,
-    25,
-    50,
-    75,
-    95,
-    99,
-    99.9
-  ],
-  "channels": {
-    "pinj": {
-      "units": "MW",
-      "source": "ptdata:bmspinj",
-      "description": "Neutral beam injected power, all sources.",
-      "min": -46005.02701919088,
-      "max": 17.512712760455507,
-      "mean": 3.838883638381958,
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-        "5": 0.0005190716405260032,
-        "25": 0.011627604901727706,
-        "50": 0.3920832239686922,
-        "75": 0.3920832239686922,
-        "95": 0.3920832239686922,
-        "99": 0.3920832239686922,
-        "99.9": 29.75536079519976
-      }
-    },
-    "bt": {
-      "units": "T",
-      "source": "ptdata:bt",
-      "description": "Vacuum toroidal magnetic field (signed).",
-      "min": -2.2353815075115375,
-      "max": 2.25186423641397,
-      "mean": -0.971906840801239,
-      "std": 1.6484158039093018,
-      "pct": {
-        "0.1": -2.2151064134142304,
-        "1": -2.1819873443702726,
-        "5": -2.136304350652244,
-        "25": -2.0446028795017246,
-        "50": -1.8984274308309796,
-        "75": -1.0260122281948352,
-        "95": 2.053318112027725,
-        "99": 2.10945640328767,
-        "99.9": 2.1819705410137904
-      }
-    }
-  }
-}

s1/model_config.json

@@ -1,268 +0,0 @@
-{
-  "schema_version": 1,
-  "model": "fuse29",
-  "seed": 1,
-  "description": "29-input Mamba-2 pedestal predictor for DIII-D. Strictly causal, 20 Hz, nine heads at rho_tor = 0.85.",
-  "architecture": {
-    "family": "Mamba-2 (structured state-space duality)",
-    "d_model": 512,
-    "n_layers": 6,
-    "d_state": 128,
-    "d_conv": 4,
-    "expand": 2,
-    "headdim": 128,
-    "nheads": 8,
-    "ngroups": 2,
-    "chunk_size": 100,
-    "d_inner": 1024,
-    "conv_dim": 1536,
-    "n_params": 11254425
-  },
-  "cadence": {
-    "hz": 20,
-    "period_ms": 50.0,
-    "rho_tor": 0.85
-  },
-  "inputs": {
-    "names": [
-      "pinj",
-      "tinj",
-      "ech_total",
-      "f1a",
-      "f2a",
-      "f3a",
-      "f4a",
-      "f5a",
-      "f6a",
-      "f7a",
-      "f8a",
-      "f9a",
-      "f1b",
-      "f2b",
-      "f3b",
-      "f4b",
-      "f5b",
-      "f6b",
-      "f7b",
-      "f8b",
-      "f9b",
-      "ecoila",
-      "ecoilb",
-      "gasa_cal",
-      "gasb_cal",
-      "gasc_cal",
-      "gasd_cal",
-      "gase_cal",
-      "bt"
-    ],
-    "n": 29,
-    "units": {
-      "pinj": "MW",
-      "tinj": "N*m",
-      "ech_total": "MW",
-      "f1a": "A",
-      "f2a": "A",
-      "f3a": "A",
-      "f4a": "A",
-      "f5a": "A",
-      "f6a": "A",
-      "f7a": "A",
-      "f8a": "A",
-      "f9a": "A",
-      "f1b": "A",
-      "f2b": "A",
-      "f3b": "A",
-      "f4b": "A",
-      "f5b": "A",
-      "f6b": "A",
-      "f7b": "A",
-      "f8b": "A",
-      "f9b": "A",
-      "ecoila": "A",
-      "ecoilb": "A",
-      "gasa_cal": "Torr*L/s",
-      "gasb_cal": "Torr*L/s",
-      "gasc_cal": "Torr*L/s",
-      "gasd_cal": "Torr*L/s",
-      "gase_cal": "Torr*L/s",
-      "bt": "T"
-    },
-    "sources": {
-      "pinj": "ptdata:bmspinj",
-      "tinj": "ptdata:bmstinj",
-      "ech_total": "ptdata:ECHPWR",
-      "f1a": "ptdata:F1A",
-      "f2a": "ptdata:F2A",
-      "f3a": "ptdata:F3A",
-      "f4a": "ptdata:F4A",
-      "f5a": "ptdata:F5A",
-      "f6a": "ptdata:F6A",
-      "f7a": "ptdata:F7A",
-      "f8a": "ptdata:F8A",
-      "f9a": "ptdata:F9A",
-      "f1b": "ptdata:F1B",
-      "f2b": "ptdata:F2B",
-      "f3b": "ptdata:F3B",
-      "f4b": "ptdata:F4B",
-      "f5b": "ptdata:F5B",
-      "f6b": "ptdata:F6B",
-      "f7b": "ptdata:F7B",
-      "f8b": "ptdata:F8B",
-      "f9b": "ptdata:F9B",
-      "ecoila": "ptdata:ECOILA",
-      "ecoilb": "ptdata:ECOILB",
-      "gasa_cal": "tree:NEUTRALS GASFLOW.GASA:FLOW",
-      "gasb_cal": "tree:NEUTRALS GASFLOW.GASB:FLOW",
-      "gasc_cal": "tree:NEUTRALS GASFLOW.GASC:FLOW",
-      "gasd_cal": "tree:NEUTRALS GASFLOW.GASD:FLOW",
-      "gase_cal": "tree:NEUTRALS GASFLOW.GASE:FLOW",
-      "bt": "ptdata:bt"
-    },
-    "descriptions": {
-      "pinj": "Neutral beam injected power, all sources.",
-      "tinj": "Neutral beam injected torque, all sources.",
-      "ech_total": "Total electron cyclotron heating power (see note in docs/PREPROCESSING.md on this channel's scaling).",
-      "f1a": "Shaping F-coil F1A current (bank A).",
-      "f2a": "Shaping F-coil F2A current (bank A).",
-      "f3a": "Shaping F-coil F3A current (bank A).",
-      "f4a": "Shaping F-coil F4A current (bank A).",
-      "f5a": "Shaping F-coil F5A current (bank A).",
-      "f6a": "Shaping F-coil F6A current (bank A).",
-      "f7a": "Shaping F-coil F7A current (bank A).",
-      "f8a": "Shaping F-coil F8A current (bank A).",
-      "f9a": "Shaping F-coil F9A current (bank A).",
-      "f1b": "Shaping F-coil F1B current (bank B).",
-      "f2b": "Shaping F-coil F2B current (bank B).",
-      "f3b": "Shaping F-coil F3B current (bank B).",
-      "f4b": "Shaping F-coil F4B current (bank B).",
-      "f5b": "Shaping F-coil F5B current (bank B).",
-      "f6b": "Shaping F-coil F6B current (bank B).",
-      "f7b": "Shaping F-coil F7B current (bank B).",
-      "f8b": "Shaping F-coil F8B current (bank B).",
-      "f9b": "Shaping F-coil F9B current (bank B).",
-      "ecoila": "Ohmic E-coil bank A current.",
-      "ecoilb": "Ohmic E-coil bank B current.",
-      "gasa_cal": "Calibrated gas injection flow, valve A.",
-      "gasb_cal": "Calibrated gas injection flow, valve B.",
-      "gasc_cal": "Calibrated gas injection flow, valve C.",
-      "gasd_cal": "Calibrated gas injection flow, valve D.",
-      "gase_cal": "Calibrated gas injection flow, valve E.",
-      "bt": "Vacuum toroidal magnetic field (signed)."
-    },
-    "space": "raw physical units; the graph applies the z-score",
-    "note": "Check your units against actuator_ranges.json before trusting any output. A unit error produces confident nonsense rather than an exception."
-  },
-  "outputs": {
-    "names": [
-      "ne",
-      "te_ped",
-      "ti_ped",
-      "t_rot_ped",
-      "neped_prmtan",
-      "teped_prmtan",
-      "rho_sym",
-      "ne_top_loc",
-      "hmode"
-    ],
-    "n": 9,
-    "units": {
-      "ne": "1e19 m^-3",
-      "te_ped": "keV",
-      "ti_ped": "keV",
-      "t_rot_ped": "krad/s",
-      "neped_prmtan": "1e19 m^-3",
-      "teped_prmtan": "keV",
-      "rho_sym": "rho_tor (dimensionless)",
-      "ne_top_loc": "rho_tor (dimensionless)",
-      "hmode": "probability in [0, 1]"
-    },
-    "note": "Physical units. hmode is a probability in [0, 1]; the graph applies the sigmoid.",
-    "hmode_gated": {
-      "heads": [
-        "neped_prmtan",
-        "teped_prmtan",
-        "rho_sym",
-        "ne_top_loc"
-      ],
-      "indices": [
-        4,
-        5,
-        6,
-        7
-      ],
-      "threshold": 0.5,
-      "note": "These four heads were trained only on H-mode rows and are undefined otherwise. The graph does NOT gate them; the consumer must, using the model's own hmode output. See docs/GATING.md."
-    }
-  },
-  "graphs": {
-    "fuse29_step.onnx": {
-      "purpose": "real-time, one 50 ms tick per call",
-      "inputs": {
-        "actuators": [
-          "batch",
-          29
-        ],
-        "conv_state": [
-          6,
-          "batch",
-          1536,
-          3
-        ],
-        "ssm_state": [
-          6,
-          "batch",
-          8,
-          128,
-          128
-        ]
-      },
-      "outputs": {
-        "predictions": [
-          "batch",
-          9
-        ],
-        "conv_state_out": [
-          6,
-          "batch",
-          1536,
-          3
-        ],
-        "ssm_state_out": [
-          6,
-          "batch",
-          8,
-          128,
-          128
-        ]
-      },
-      "initial_state": "all zeros at the start of a shot",
-      "max_shot_length": "unbounded"
-    },
-    "fuse29_seq.onnx": {
-      "purpose": "offline scoring of a whole shot",
-      "inputs": {
-        "actuators": [
-          "batch",
-          256,
-          29
-        ]
-      },
-      "outputs": {
-        "predictions": [
-          "batch",
-          256,
-          9
-        ]
-      },
-      "seq_len": 256,
-      "note": "Sequence length is FIXED. Right-pad shorter shots with zeros and read the first T outputs; the model is strictly causal so this is exact. For longer shots use the step graph or re-export with --seq-len."
-    }
-  },
-  "dtype": "float32",
-  "onnx_opset": 17,
-  "training": {
-    "epoch": 22,
-    "val_loss": 1.1129196528345346,
-    "note": "See docs/TRAINING.md for the full recipe."
-  }
-}

s1/norms.json

@@ -1,292 +0,0 @@
-{
-  "schema_version": 2,
-  "note": "Statistics are baked into the shipped ONNX graphs. This file is for inspection and for reproducing the transform outside the graph; it is not required at inference time.",
-  "actuator_space": "physical",
-  "std_floor": 1e-06,
-  "clip_sigma": 20.0,
-  "provenance": {
-    "split": "train",
-    "n_shots": 32731,
-    "rho_index": 85,
-    "source": "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85, random stratified split (split_index.json)",
-    "note": "Recomputed on the NEW random train split. The source shards carried z-scores from the OLD chronological train split, whose shots overlap our test set. Actuator statistics are winsorised so a corrupted sample cannot set a channel's divisor.",
-    "inflated_channels": [
-      "pinj",
-      "gasc_cal",
-      "gasd_cal",
-      "gase_cal"
-    ],
-    "actuator_estimator": "winsorised to p1..p99",
-    "actuator_space": "physical",
-    "composed_from": [
-      "/lus/flare/projects/fusiondl_aesp/d3d_pedestal_fpe_harrisn85/normalization_params.json",
-      "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json"
-    ],
-    "composition": "z = (x_phys - (m1 + s1*m2)) / (s1*s2), where (m1, s1) is the upstream FPE z-score and (m2, s2) is this model's re-scale onto its own training split"
-  },
-  "actuators": {
-    "names": [
-      "pinj",
-      "tinj",
-      "ech_total",
-      "f1a",
-      "f2a",
-      "f3a",
-      "f4a",
-      "f5a",
-      "f6a",
-      "f7a",
-      "f8a",
-      "f9a",
-      "f1b",
-      "f2b",
-      "f3b",
-      "f4b",
-      "f5b",
-      "f6b",
-      "f7b",
-      "f8b",
-      "f9b",
-      "ecoila",
-      "ecoilb",
-      "gasa_cal",
-      "gasb_cal",
-      "gasc_cal",
-      "gasd_cal",
-      "gase_cal",
-      "bt"
-    ],
-    "mean": [
-      3.838883638381958,
-      2.2043209075927734,
-      2.6981112957000732,
-      -1382.3704833984375,
-      -1229.876708984375,
-      -592.7352294921875,
-      1098.1622314453125,
-      1173.57958984375,
-      -2493.411865234375,
-      -2367.570556640625,
-      996.0214233398438,
-      -535.8018798828125,
-      -1373.1888427734375,
-      -1218.50048828125,
-      -1005.3848266601562,
-      1124.2967529296875,
-      1443.536865234375,
-      -2463.248046875,
-      -2941.56005859375,
-      1431.05615234375,
-      -214.02586364746094,
-      -6965.32666015625,
-      -6876.16455078125,
-      15.054444313049316,
-      1.386172890663147,
-      0.35034820437431335,
-      0.528103232383728,
-      0.27696067094802856,
-      -0.971906840801239
-    ],
-    "std": [
-      3.0613932609558105,
-      2.11222505569458,
-      6.685519218444824,
-      1349.629638671875,
-      1248.3497314453125,
-      1185.706298828125,
-      1368.95458984375,
-      1352.103759765625,
-      1867.8076171875,
-      1999.19970703125,
-      1498.948974609375,
-      1258.01171875,
-      1367.82275390625,
-      1316.67724609375,
-      1308.8258056640625,
-      1519.5994873046875,
-      1408.3306884765625,
-      1836.4208984375,
-      2510.1083984375,
-      1718.2965087890625,
-      1388.83447265625,
-      18940.9453125,
-      18723.662109375,
-      26.369497299194336,
-      3.4090511798858643,
-      0.4470684826374054,
-      0.654624342918396,
-      0.17616958916187286,
-      1.6484158039093018
-    ],
-    "transform": "z = clip((x - mean) / std, -clip_sigma, +clip_sigma), applied inside the graph"
-  },
-  "targets": {
-    "ne": {
-      "mean": 2.7511744499206543,
-      "std": 1.654153823852539
-    },
-    "te_ped": {
-      "mean": 0.5915626287460327,
-      "std": 0.43467429280281067
-    },
-    "ti_ped": {
-      "mean": 1.016850233078003,
-      "std": 0.681096076965332
-    },
-    "t_rot_ped": {
-      "mean": 21.244613647460938,
-      "std": 16.59148406982422
-    },
-    "neped_prmtan": {
-      "mean": 2.7231285572052,
-      "std": 1.7005536556243896
-    },
-    "teped_prmtan": {
-      "mean": 0.46375223994255066,
-      "std": 0.36919456720352173
-    },
-    "rho_sym": {
-      "mean": 0.9757616519927979,
-      "std": 0.04329206794500351
-    },
-    "ne_top_loc": {
-      "mean": 0.9261865019798279,
-      "std": 0.049897171556949615
-    }
-  },
-  "hmode": {
-    "transform": "sigmoid",
-    "note": "hmode is a logit in the trunk; the graph applies the sigmoid."
-  },
-  "stages": {
-    "note": "The composed actuator statistics above are the product of these two. Shown for traceability; use the composed values.",
-    "stage1_physical_to_fpe_zscore": {
-      "mean": [
-        2.8111997039100878,
-        2.154143940948575,
-        2.159654935239209,
-        -1444.0438445123289,
-        -1315.1185221229061,
-        -639.741760304047,
-        1172.4978680515835,
-        1222.4970107268077,
-        -2488.8410961768263,
-        -2491.3739557685253,
-        1050.107386405324,
-        -578.9736547563273,
-        -1421.0817159358041,
-        -1285.3967398730092,
-        -1061.0290851406676,
-        1186.4795970820587,
-        1460.6822372728345,
-        -2452.093120847959,
-        -3071.3132492215186,
-        1531.3304960724108,
-        -262.6728625067526,
-        -6887.604056684089,
-        -6768.996463787789,
-        14.89178144369171,
-        1.9421402622606716,
-        0.7508911827356307,
-        1.0383906373403984,
-        0.3920832239686922,
-        -1.0310375752078498
-      ],
-      "std": [
-        194.08418888726106,
-        2.3684465859740262,
-        5.948083564785035,
-        1267.4907621702682,
-        1217.4478106828162,
-        1249.3915272640536,
-        1345.3871181128568,
-        1359.1934832307923,
-        1887.1891497052302,
-        1888.1014577442652,
-        1559.9875106371376,
-        1287.2118470203372,
-        1271.813282654729,
-        1259.8644805335082,
-        1361.9306367877398,
-        1521.172083160852,
-        1393.2120473032558,
-        1856.723912629122,
-        2432.8530409799628,
-        1705.6959050005082,
-        1421.8036451037203,
-        19092.148992270486,
-        18858.28389193975,
-        27.289184462156058,
-        11.092415079529571,
-        9.017289768908354,
-        12.055982101097918,
-        6.498888909025979,
-        1.599000778986496
-      ]
-    },
-    "stage2_fpe_zscore_to_model": {
-      "mean": [
-        0.0052950419485569,
-        0.02118559367954731,
-        0.0905260294675827,
-        0.04865782707929611,
-        0.0700167864561081,
-        0.03762352466583252,
-        -0.05525219440460205,
-        -0.03599006310105324,
-        -0.002421961398795247,
-        0.06557027250528336,
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-        0.03765711933374405,
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-        -0.012306398712098598,
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-        -0.050121404230594635,
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-        -0.042326491326093674,
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-      ],
-      "std": [
-        0.015773532912135124,
-        0.8918187022209167,
-        1.1239787340164185,
-        1.0648043155670166,
-        1.0253825187683105,
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-        0.9773152470588684,
-        1.0754902362823486,
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-        0.9610077142715454,
-        0.9989661574363708,
-        1.0108516216278076,
-        0.9890651702880859,
-        1.0317550897598267,
-        1.007387399673462,
-        0.9768117070198059,
-        0.9920803308486938,
-        0.9928614497184753,
-        0.9662984609603882,
-        0.30733174085617065,
-        0.04957903176546097,
-        0.05429871752858162,
-        0.02710764855146408,
-        1.030903697013855
-      ]
-    }
-  }
-}

s1/provenance.json

@@ -1,32 +0,0 @@
-{
-  "schema_version": 1,
-  "exported_utc": "2026-09-03T00:46:24.670692+00:00",
-  "seed": 1,
-  "source_checkpoint": "/flare/fusiondl_aesp/fuse_bd_model/fuse20/runs/fuse29r_s1/best_model.pt",
-  "source_checkpoint_sha256": "a77e8a7359c47e1f6d9a2406fe29fea9214e6110e3a4f5f26371afbaba236394",
-  "norms_source": "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json",
-  "norms_actuator_space": "physical",
-  "norms_composed_from": [
-    "/lus/flare/projects/fusiondl_aesp/d3d_pedestal_fpe_harrisn85/normalization_params.json",
-    "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json"
-  ],
-  "onnx_opset": 17,
-  "exporter": "torch.onnx.export (TorchScript, dynamo=False)",
-  "versions": {
-    "torch": "2.10.0a0+git449b176",
-    "python": "3.12.12",
-    "platform": "Linux-5.14.21-150400.24.235-default-x86_64-with-glibc2.31",
-    "onnx": "1.22.0",
-    "onnxruntime": "1.29.0"
-  },
-  "artifacts": {
-    "fuse29_step.onnx": {
-      "bytes": 45081271,
-      "sha256": "8780126cca821664426bafdd896a1313846da69ad120b9c591d90dc0cc21249e"
-    },
-    "fuse29_seq.onnx": {
-      "bytes": 45464382,
-      "sha256": "3469221c38b1006a017506969d2ffd5f9b84a9a34d22b4429184a299c2438f4a"
-    }
-  }
-}

s2/README.md

@@ -1,56 +0,0 @@
----
-license: mit
-library_name: onnx
-tags:
-  - onnx
-  - fusion
-  - plasma-physics
-  - tokamak
-  - diii-d
-  - mamba
----
-
-# fuse29 — seed 2
-
-This is seed 2, one of eight independently trained runs. Seed 0 is the champion and the default; this one exists so you can measure spread across training runs. Unless you are doing that, you want seed 0.
-
-29-input Mamba-2 pedestal predictor for DIII-D. Raw physical units in,
-physical units out. See the [root model card](https://huggingface.co/SCS-Lab/FUSE29-Pedestal-model)
-for the full description, I/O contract, accuracy and limitations.
-
-| | |
-|---|---|
-| Seed | 2 |
-| Parameters | 11,254,425 |
-| Best validation loss | 1.1197 |
-| Sequence graph length | 256 ticks |
-| ONNX opset | 17 |
-| Exported | 2026-09-03T00:46:27.308435+00:00 |
-| Source checkpoint SHA-256 | `d113f84516d9e749…` |
-
-## Load
-
-```python
-from fuse29.runtime import Fuse29Predictor
-
-predictor = Fuse29Predictor.from_pretrained("SCS-Lab/FUSE29-Pedestal-model", seed=2)
-```
-
-## Files
-
-| File | |
-|---|---|
-| `fuse29_step.onnx` | one 50 ms tick, carries state, no length limit |
-| `fuse29_seq.onnx` | whole shot at a fixed 256 ticks |
-| `model_config.json` | I/O contract: names, order, units, sources, shapes |
-| `norms.json` | the statistics baked into the graphs |
-| `actuator_ranges.json` | training-split distribution, for checking your units |
-| `provenance.json` | source checkpoint hash, library versions, artefact hashes |
-
-## Before you use it
-
-- Four heads (`neped_prmtan`, `teped_prmtan`, `rho_sym`, `ne_top_loc`) are
-  **only valid in H-mode** and the graph does not gate them. Gate on the
-  model's own `hmode` output.
-- `pinj` is in **MW**, not W. Run `predictor.check_units(shot)` once.
-- Output column order is not alphabetical. See `model_config.json`.

s2/actuator_ranges.json

@@ -1,600 +0,0 @@
-{
-  "schema_version": 1,
-  "note": "Physical-units distribution of each actuator over the training split. Use it to check that your signals are in the units the graph expects; a unit error is the one preprocessing mistake that produces confident nonsense rather than an exception.",
-  "split": "train",
-  "n_shots": 32731,
-  "n_ticks": 3020926,
-  "percentiles": [
-    0.1,
-    1,
-    5,
-    25,
-    50,
-    75,
-    95,
-    99,
-    99.9
-  ],
-  "channels": {
-    "pinj": {
-      "units": "MW",
-      "source": "ptdata:bmspinj",
-      "description": "Neutral beam injected power, all sources.",
-      "min": -46005.02701919088,
-      "max": 17.512712760455507,
-      "mean": 3.838883638381958,
-      "std": 3.0613932609558105,
-      "pct": {
-        "0.1": -0.004132416388869853,
-        "1": 4.112187479421436e-09,
-        "5": 4.112187479421436e-09,
-        "25": 1.311169336894574,
-        "50": 3.18466408866965,
-        "75": 5.748764762873332,
-        "95": 9.841882532311711,
-        "99": 12.212702351352696,
-        "99.9": 14.791924355083399
-      }
-    },
-    "tinj": {
-      "units": "N*m",
-      "source": "ptdata:bmstinj",
-      "description": "Neutral beam injected torque, all sources.",
-      "min": -56.644382966354534,
-      "max": 129.9833380295058,
-      "mean": 2.2043209075927734,
-      "std": 2.11222505569458,
-      "pct": {
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-        "1": -0.5384317586520496,
-        "5": -1.6338495756329507e-07,
-        "25": 0.4319133403840452,
-        "50": 1.963846077087278,
-        "75": 3.1821234334199193,
-        "95": 6.641525317445799,
-        "99": 8.941231792062355,
-        "99.9": 11.156712776956862
-      }
-    },
-    "ech_total": {
-      "units": "MW",
-      "source": "ptdata:ECHPWR",
-      "description": "Total electron cyclotron heating power (see note in docs/PREPROCESSING.md on this channel's scaling).",
-      "min": -19.31181996542309,
-      "max": 40.286455582885246,
-      "mean": 2.6981112957000732,
-      "std": 6.685519218444824,
-      "pct": {
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-        "25": -3.2566890961760464e-08,
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-        "99": 30.476182922859127,
-        "99.9": 37.09168917133024
-      }
-    },
-    "f1a": {
-      "units": "A",
-      "source": "ptdata:F1A",
-      "description": "Shaping F-coil F1A current (bank A).",
-      "min": -5776.925892871883,
-      "max": 5794.3504737288395,
-      "mean": -1382.3704833984375,
-      "std": 1349.629638671875,
-      "pct": {
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-        "1": -4131.456225748339,
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-        "99": 3103.250955923345,
-        "99.9": 4467.289606367005
-      }
-    },
-    "f2a": {
-      "units": "A",
-      "source": "ptdata:F2A",
-      "description": "Shaping F-coil F2A current (bank A).",
-      "min": -5716.347659616551,
-      "max": 5702.840977614059,
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-    },
-    "f3a": {
-      "units": "A",
-      "source": "ptdata:F3A",
-      "description": "Shaping F-coil F3A current (bank A).",
-      "min": -5498.272347966228,
-      "max": 5321.719922394657,
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-    },
-    "f4a": {
-      "units": "A",
-      "source": "ptdata:F4A",
-      "description": "Shaping F-coil F4A current (bank A).",
-      "min": -5876.373800845117,
-      "max": 5855.700219305917,
-      "mean": 1098.1622314453125,
-      "std": 1368.95458984375,
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-      "source": "ptdata:F5A",
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-      "min": -5178.8539079385355,
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-    },
-    "f6a": {
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-      "source": "ptdata:F6A",
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-      "min": -7929.903731492232,
-      "max": 5741.056818467809,
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-      "std": 1867.8076171875,
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-      "source": "ptdata:F7A",
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-      "min": -9825.736080045011,
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-    "gasa_cal": {
-      "units": "Torr*L/s",
-      "source": "tree:NEUTRALS GASFLOW.GASA:FLOW",
-      "description": "Calibrated gas injection flow, valve A.",
-      "min": -0.9805486760911233,
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-      "units": "Torr*L/s",
-      "source": "tree:NEUTRALS GASFLOW.GASB:FLOW",
-      "description": "Calibrated gas injection flow, valve B.",
-      "min": -0.5231055139632899,
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-      "units": "Torr*L/s",
-      "source": "tree:NEUTRALS GASFLOW.GASC:FLOW",
-      "description": "Calibrated gas injection flow, valve C.",
-      "min": -0.3965804467767108,
-      "max": 306.0269668007428,
-      "mean": 0.35034820437431335,
-      "std": 0.4470684826374054,
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-    "gasd_cal": {
-      "units": "Torr*L/s",
-      "source": "tree:NEUTRALS GASFLOW.GASD:FLOW",
-      "description": "Calibrated gas injection flow, valve D.",
-      "min": -0.5287260135880842,
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-      "std": 0.654624342918396,
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-      }
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-    "gase_cal": {
-      "units": "Torr*L/s",
-      "source": "tree:NEUTRALS GASFLOW.GASE:FLOW",
-      "description": "Calibrated gas injection flow, valve E.",
-      "min": -0.2211384331710633,
-      "max": 672.8582070151267,
-      "mean": 0.27696067094802856,
-      "std": 0.17616958916187286,
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-    "bt": {
-      "units": "T",
-      "source": "ptdata:bt",
-      "description": "Vacuum toroidal magnetic field (signed).",
-      "min": -2.2353815075115375,
-      "max": 2.25186423641397,
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-      }
-    }
-  }
-}

s2/fuse29_seq.onnx

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1fc339449427dfe47ee425eb7ff500887e6a10ae1ef32d90207f2d1e3a828cf3
-size 45464382

s2/fuse29_step.onnx

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-version https://git-lfs.github.com/spec/v1
-oid sha256:b696b9c645441cde3881ff796aaec6e1927335daba4539095f6b6dee8a5768f4
-size 45081271

s2/model_config.json

@@ -1,268 +0,0 @@
-{
-  "schema_version": 1,
-  "model": "fuse29",
-  "seed": 2,
-  "description": "29-input Mamba-2 pedestal predictor for DIII-D. Strictly causal, 20 Hz, nine heads at rho_tor = 0.85.",
-  "architecture": {
-    "family": "Mamba-2 (structured state-space duality)",
-    "d_model": 512,
-    "n_layers": 6,
-    "d_state": 128,
-    "d_conv": 4,
-    "expand": 2,
-    "headdim": 128,
-    "nheads": 8,
-    "ngroups": 2,
-    "chunk_size": 100,
-    "d_inner": 1024,
-    "conv_dim": 1536,
-    "n_params": 11254425
-  },
-  "cadence": {
-    "hz": 20,
-    "period_ms": 50.0,
-    "rho_tor": 0.85
-  },
-  "inputs": {
-    "names": [
-      "pinj",
-      "tinj",
-      "ech_total",
-      "f1a",
-      "f2a",
-      "f3a",
-      "f4a",
-      "f5a",
-      "f6a",
-      "f7a",
-      "f8a",
-      "f9a",
-      "f1b",
-      "f2b",
-      "f3b",
-      "f4b",
-      "f5b",
-      "f6b",
-      "f7b",
-      "f8b",
-      "f9b",
-      "ecoila",
-      "ecoilb",
-      "gasa_cal",
-      "gasb_cal",
-      "gasc_cal",
-      "gasd_cal",
-      "gase_cal",
-      "bt"
-    ],
-    "n": 29,
-    "units": {
-      "pinj": "MW",
-      "tinj": "N*m",
-      "ech_total": "MW",
-      "f1a": "A",
-      "f2a": "A",
-      "f3a": "A",
-      "f4a": "A",
-      "f5a": "A",
-      "f6a": "A",
-      "f7a": "A",
-      "f8a": "A",
-      "f9a": "A",
-      "f1b": "A",
-      "f2b": "A",
-      "f3b": "A",
-      "f4b": "A",
-      "f5b": "A",
-      "f6b": "A",
-      "f7b": "A",
-      "f8b": "A",
-      "f9b": "A",
-      "ecoila": "A",
-      "ecoilb": "A",
-      "gasa_cal": "Torr*L/s",
-      "gasb_cal": "Torr*L/s",
-      "gasc_cal": "Torr*L/s",
-      "gasd_cal": "Torr*L/s",
-      "gase_cal": "Torr*L/s",
-      "bt": "T"
-    },
-    "sources": {
-      "pinj": "ptdata:bmspinj",
-      "tinj": "ptdata:bmstinj",
-      "ech_total": "ptdata:ECHPWR",
-      "f1a": "ptdata:F1A",
-      "f2a": "ptdata:F2A",
-      "f3a": "ptdata:F3A",
-      "f4a": "ptdata:F4A",
-      "f5a": "ptdata:F5A",
-      "f6a": "ptdata:F6A",
-      "f7a": "ptdata:F7A",
-      "f8a": "ptdata:F8A",
-      "f9a": "ptdata:F9A",
-      "f1b": "ptdata:F1B",
-      "f2b": "ptdata:F2B",
-      "f3b": "ptdata:F3B",
-      "f4b": "ptdata:F4B",
-      "f5b": "ptdata:F5B",
-      "f6b": "ptdata:F6B",
-      "f7b": "ptdata:F7B",
-      "f8b": "ptdata:F8B",
-      "f9b": "ptdata:F9B",
-      "ecoila": "ptdata:ECOILA",
-      "ecoilb": "ptdata:ECOILB",
-      "gasa_cal": "tree:NEUTRALS GASFLOW.GASA:FLOW",
-      "gasb_cal": "tree:NEUTRALS GASFLOW.GASB:FLOW",
-      "gasc_cal": "tree:NEUTRALS GASFLOW.GASC:FLOW",
-      "gasd_cal": "tree:NEUTRALS GASFLOW.GASD:FLOW",
-      "gase_cal": "tree:NEUTRALS GASFLOW.GASE:FLOW",
-      "bt": "ptdata:bt"
-    },
-    "descriptions": {
-      "pinj": "Neutral beam injected power, all sources.",
-      "tinj": "Neutral beam injected torque, all sources.",
-      "ech_total": "Total electron cyclotron heating power (see note in docs/PREPROCESSING.md on this channel's scaling).",
-      "f1a": "Shaping F-coil F1A current (bank A).",
-      "f2a": "Shaping F-coil F2A current (bank A).",
-      "f3a": "Shaping F-coil F3A current (bank A).",
-      "f4a": "Shaping F-coil F4A current (bank A).",
-      "f5a": "Shaping F-coil F5A current (bank A).",
-      "f6a": "Shaping F-coil F6A current (bank A).",
-      "f7a": "Shaping F-coil F7A current (bank A).",
-      "f8a": "Shaping F-coil F8A current (bank A).",
-      "f9a": "Shaping F-coil F9A current (bank A).",
-      "f1b": "Shaping F-coil F1B current (bank B).",
-      "f2b": "Shaping F-coil F2B current (bank B).",
-      "f3b": "Shaping F-coil F3B current (bank B).",
-      "f4b": "Shaping F-coil F4B current (bank B).",
-      "f5b": "Shaping F-coil F5B current (bank B).",
-      "f6b": "Shaping F-coil F6B current (bank B).",
-      "f7b": "Shaping F-coil F7B current (bank B).",
-      "f8b": "Shaping F-coil F8B current (bank B).",
-      "f9b": "Shaping F-coil F9B current (bank B).",
-      "ecoila": "Ohmic E-coil bank A current.",
-      "ecoilb": "Ohmic E-coil bank B current.",
-      "gasa_cal": "Calibrated gas injection flow, valve A.",
-      "gasb_cal": "Calibrated gas injection flow, valve B.",
-      "gasc_cal": "Calibrated gas injection flow, valve C.",
-      "gasd_cal": "Calibrated gas injection flow, valve D.",
-      "gase_cal": "Calibrated gas injection flow, valve E.",
-      "bt": "Vacuum toroidal magnetic field (signed)."
-    },
-    "space": "raw physical units; the graph applies the z-score",
-    "note": "Check your units against actuator_ranges.json before trusting any output. A unit error produces confident nonsense rather than an exception."
-  },
-  "outputs": {
-    "names": [
-      "ne",
-      "te_ped",
-      "ti_ped",
-      "t_rot_ped",
-      "neped_prmtan",
-      "teped_prmtan",
-      "rho_sym",
-      "ne_top_loc",
-      "hmode"
-    ],
-    "n": 9,
-    "units": {
-      "ne": "1e19 m^-3",
-      "te_ped": "keV",
-      "ti_ped": "keV",
-      "t_rot_ped": "krad/s",
-      "neped_prmtan": "1e19 m^-3",
-      "teped_prmtan": "keV",
-      "rho_sym": "rho_tor (dimensionless)",
-      "ne_top_loc": "rho_tor (dimensionless)",
-      "hmode": "probability in [0, 1]"
-    },
-    "note": "Physical units. hmode is a probability in [0, 1]; the graph applies the sigmoid.",
-    "hmode_gated": {
-      "heads": [
-        "neped_prmtan",
-        "teped_prmtan",
-        "rho_sym",
-        "ne_top_loc"
-      ],
-      "indices": [
-        4,
-        5,
-        6,
-        7
-      ],
-      "threshold": 0.5,
-      "note": "These four heads were trained only on H-mode rows and are undefined otherwise. The graph does NOT gate them; the consumer must, using the model's own hmode output. See docs/GATING.md."
-    }
-  },
-  "graphs": {
-    "fuse29_step.onnx": {
-      "purpose": "real-time, one 50 ms tick per call",
-      "inputs": {
-        "actuators": [
-          "batch",
-          29
-        ],
-        "conv_state": [
-          6,
-          "batch",
-          1536,
-          3
-        ],
-        "ssm_state": [
-          6,
-          "batch",
-          8,
-          128,
-          128
-        ]
-      },
-      "outputs": {
-        "predictions": [
-          "batch",
-          9
-        ],
-        "conv_state_out": [
-          6,
-          "batch",
-          1536,
-          3
-        ],
-        "ssm_state_out": [
-          6,
-          "batch",
-          8,
-          128,
-          128
-        ]
-      },
-      "initial_state": "all zeros at the start of a shot",
-      "max_shot_length": "unbounded"
-    },
-    "fuse29_seq.onnx": {
-      "purpose": "offline scoring of a whole shot",
-      "inputs": {
-        "actuators": [
-          "batch",
-          256,
-          29
-        ]
-      },
-      "outputs": {
-        "predictions": [
-          "batch",
-          256,
-          9
-        ]
-      },
-      "seq_len": 256,
-      "note": "Sequence length is FIXED. Right-pad shorter shots with zeros and read the first T outputs; the model is strictly causal so this is exact. For longer shots use the step graph or re-export with --seq-len."
-    }
-  },
-  "dtype": "float32",
-  "onnx_opset": 17,
-  "training": {
-    "epoch": 20,
-    "val_loss": 1.119664316996932,
-    "note": "See docs/TRAINING.md for the full recipe."
-  }
-}

s2/norms.json

@@ -1,292 +0,0 @@
-{
-  "schema_version": 2,
-  "note": "Statistics are baked into the shipped ONNX graphs. This file is for inspection and for reproducing the transform outside the graph; it is not required at inference time.",
-  "actuator_space": "physical",
-  "std_floor": 1e-06,
-  "clip_sigma": 20.0,
-  "provenance": {
-    "split": "train",
-    "n_shots": 32731,
-    "rho_index": 85,
-    "source": "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85, random stratified split (split_index.json)",
-    "note": "Recomputed on the NEW random train split. The source shards carried z-scores from the OLD chronological train split, whose shots overlap our test set. Actuator statistics are winsorised so a corrupted sample cannot set a channel's divisor.",
-    "inflated_channels": [
-      "pinj",
-      "gasc_cal",
-      "gasd_cal",
-      "gase_cal"
-    ],
-    "actuator_estimator": "winsorised to p1..p99",
-    "actuator_space": "physical",
-    "composed_from": [
-      "/lus/flare/projects/fusiondl_aesp/d3d_pedestal_fpe_harrisn85/normalization_params.json",
-      "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json"
-    ],
-    "composition": "z = (x_phys - (m1 + s1*m2)) / (s1*s2), where (m1, s1) is the upstream FPE z-score and (m2, s2) is this model's re-scale onto its own training split"
-  },
-  "actuators": {
-    "names": [
-      "pinj",
-      "tinj",
-      "ech_total",
-      "f1a",
-      "f2a",
-      "f3a",
-      "f4a",
-      "f5a",
-      "f6a",
-      "f7a",
-      "f8a",
-      "f9a",
-      "f1b",
-      "f2b",
-      "f3b",
-      "f4b",
-      "f5b",
-      "f6b",
-      "f7b",
-      "f8b",
-      "f9b",
-      "ecoila",
-      "ecoilb",
-      "gasa_cal",
-      "gasb_cal",
-      "gasc_cal",
-      "gasd_cal",
-      "gase_cal",
-      "bt"
-    ],
-    "mean": [
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-    "transform": "z = clip((x - mean) / std, -clip_sigma, +clip_sigma), applied inside the graph"
-  },
-  "targets": {
-    "ne": {
-      "mean": 2.7511744499206543,
-      "std": 1.654153823852539
-    },
-    "te_ped": {
-      "mean": 0.5915626287460327,
-      "std": 0.43467429280281067
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-    "ti_ped": {
-      "mean": 1.016850233078003,
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-    "t_rot_ped": {
-      "mean": 21.244613647460938,
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-    "neped_prmtan": {
-      "mean": 2.7231285572052,
-      "std": 1.7005536556243896
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-    "teped_prmtan": {
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-  },
-  "hmode": {
-    "transform": "sigmoid",
-    "note": "hmode is a logit in the trunk; the graph applies the sigmoid."
-  },
-  "stages": {
-    "note": "The composed actuator statistics above are the product of these two. Shown for traceability; use the composed values.",
-    "stage1_physical_to_fpe_zscore": {
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s2/provenance.json

@@ -1,32 +0,0 @@
-{
-  "schema_version": 1,
-  "exported_utc": "2026-09-03T00:46:27.308435+00:00",
-  "seed": 2,
-  "source_checkpoint": "/flare/fusiondl_aesp/fuse_bd_model/fuse20/runs/fuse29r_s2/best_model.pt",
-  "source_checkpoint_sha256": "d113f84516d9e749eea611ebc53086e170a251ba50ec4f60ec69bfc5d82d92bf",
-  "norms_source": "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json",
-  "norms_actuator_space": "physical",
-  "norms_composed_from": [
-    "/lus/flare/projects/fusiondl_aesp/d3d_pedestal_fpe_harrisn85/normalization_params.json",
-    "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json"
-  ],
-  "onnx_opset": 17,
-  "exporter": "torch.onnx.export (TorchScript, dynamo=False)",
-  "versions": {
-    "torch": "2.10.0a0+git449b176",
-    "python": "3.12.12",
-    "platform": "Linux-5.14.21-150400.24.235-default-x86_64-with-glibc2.31",
-    "onnx": "1.22.0",
-    "onnxruntime": "1.29.0"
-  },
-  "artifacts": {
-    "fuse29_step.onnx": {
-      "bytes": 45081271,
-      "sha256": "b696b9c645441cde3881ff796aaec6e1927335daba4539095f6b6dee8a5768f4"
-    },
-    "fuse29_seq.onnx": {
-      "bytes": 45464382,
-      "sha256": "1fc339449427dfe47ee425eb7ff500887e6a10ae1ef32d90207f2d1e3a828cf3"
-    }
-  }
-}

s3/README.md

@@ -1,56 +0,0 @@
----
-license: mit
-library_name: onnx
-tags:
-  - onnx
-  - fusion
-  - plasma-physics
-  - tokamak
-  - diii-d
-  - mamba
----
-
-# fuse29 — seed 3
-
-This is seed 3, one of eight independently trained runs. Seed 0 is the champion and the default; this one exists so you can measure spread across training runs. Unless you are doing that, you want seed 0.
-
-29-input Mamba-2 pedestal predictor for DIII-D. Raw physical units in,
-physical units out. See the [root model card](https://huggingface.co/SCS-Lab/FUSE29-Pedestal-model)
-for the full description, I/O contract, accuracy and limitations.
-
-| | |
-|---|---|
-| Seed | 3 |
-| Parameters | 11,254,425 |
-| Best validation loss | 1.1190 |
-| Sequence graph length | 256 ticks |
-| ONNX opset | 17 |
-| Exported | 2026-09-03T00:46:29.898835+00:00 |
-| Source checkpoint SHA-256 | `ec8986c56b48bf90…` |
-
-## Load
-
-```python
-from fuse29.runtime import Fuse29Predictor
-
-predictor = Fuse29Predictor.from_pretrained("SCS-Lab/FUSE29-Pedestal-model", seed=3)
-```
-
-## Files
-
-| File | |
-|---|---|
-| `fuse29_step.onnx` | one 50 ms tick, carries state, no length limit |
-| `fuse29_seq.onnx` | whole shot at a fixed 256 ticks |
-| `model_config.json` | I/O contract: names, order, units, sources, shapes |
-| `norms.json` | the statistics baked into the graphs |
-| `actuator_ranges.json` | training-split distribution, for checking your units |
-| `provenance.json` | source checkpoint hash, library versions, artefact hashes |
-
-## Before you use it
-
-- Four heads (`neped_prmtan`, `teped_prmtan`, `rho_sym`, `ne_top_loc`) are
-  **only valid in H-mode** and the graph does not gate them. Gate on the
-  model's own `hmode` output.
-- `pinj` is in **MW**, not W. Run `predictor.check_units(shot)` once.
-- Output column order is not alphabetical. See `model_config.json`.

s3/actuator_ranges.json

@@ -1,600 +0,0 @@
-{
-  "schema_version": 1,
-  "note": "Physical-units distribution of each actuator over the training split. Use it to check that your signals are in the units the graph expects; a unit error is the one preprocessing mistake that produces confident nonsense rather than an exception.",
-  "split": "train",
-  "n_shots": 32731,
-  "n_ticks": 3020926,
-  "percentiles": [
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-    1,
-    5,
-    25,
-    50,
-    75,
-    95,
-    99,
-    99.9
-  ],
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-      "source": "ptdata:bmspinj",
-      "description": "Neutral beam injected power, all sources.",
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-      "max": 17.512712760455507,
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-        "99": 12.212702351352696,
-        "99.9": 14.791924355083399
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-    },
-    "tinj": {
-      "units": "N*m",
-      "source": "ptdata:bmstinj",
-      "description": "Neutral beam injected torque, all sources.",
-      "min": -56.644382966354534,
-      "max": 129.9833380295058,
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-      "source": "ptdata:ECHPWR",
-      "description": "Total electron cyclotron heating power (see note in docs/PREPROCESSING.md on this channel's scaling).",
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-      "source": "ptdata:F1A",
-      "description": "Shaping F-coil F1A current (bank A).",
-      "min": -5776.925892871883,
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-    "f2a": {
-      "units": "A",
-      "source": "ptdata:F2A",
-      "description": "Shaping F-coil F2A current (bank A).",
-      "min": -5716.347659616551,
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-      "min": -5498.272347966228,
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-      "min": -5178.8539079385355,
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-      "source": "ptdata:F6A",
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-      "min": -7929.903731492232,
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-    "f7a": {
-      "units": "A",
-      "source": "ptdata:F7A",
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-      "min": -9825.736080045011,
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-      "description": "Calibrated gas injection flow, valve A.",
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-      "description": "Calibrated gas injection flow, valve B.",
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-      "description": "Calibrated gas injection flow, valve C.",
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-      "units": "Torr*L/s",
-      "source": "tree:NEUTRALS GASFLOW.GASD:FLOW",
-      "description": "Calibrated gas injection flow, valve D.",
-      "min": -0.5287260135880842,
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-    "gase_cal": {
-      "units": "Torr*L/s",
-      "source": "tree:NEUTRALS GASFLOW.GASE:FLOW",
-      "description": "Calibrated gas injection flow, valve E.",
-      "min": -0.2211384331710633,
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-    "bt": {
-      "units": "T",
-      "source": "ptdata:bt",
-      "description": "Vacuum toroidal magnetic field (signed).",
-      "min": -2.2353815075115375,
-      "max": 2.25186423641397,
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-  }
-}

s3/fuse29_seq.onnx

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-version https://git-lfs.github.com/spec/v1
-oid sha256:ab580c091de0471edc8454085dcda9c88650e4995be5c2ec6bd7f8b1c87d7786
-size 45464382

s3/fuse29_step.onnx

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-version https://git-lfs.github.com/spec/v1
-oid sha256:f2b80d7f732cef7a21eb21e606cf4a3e63aa4a91a9ff6dde789d88e07fcd5418
-size 45081271

s3/model_config.json

@@ -1,268 +0,0 @@
-{
-  "schema_version": 1,
-  "model": "fuse29",
-  "seed": 3,
-  "description": "29-input Mamba-2 pedestal predictor for DIII-D. Strictly causal, 20 Hz, nine heads at rho_tor = 0.85.",
-  "architecture": {
-    "family": "Mamba-2 (structured state-space duality)",
-    "d_model": 512,
-    "n_layers": 6,
-    "d_state": 128,
-    "d_conv": 4,
-    "expand": 2,
-    "headdim": 128,
-    "nheads": 8,
-    "ngroups": 2,
-    "chunk_size": 100,
-    "d_inner": 1024,
-    "conv_dim": 1536,
-    "n_params": 11254425
-  },
-  "cadence": {
-    "hz": 20,
-    "period_ms": 50.0,
-    "rho_tor": 0.85
-  },
-  "inputs": {
-    "names": [
-      "pinj",
-      "tinj",
-      "ech_total",
-      "f1a",
-      "f2a",
-      "f3a",
-      "f4a",
-      "f5a",
-      "f6a",
-      "f7a",
-      "f8a",
-      "f9a",
-      "f1b",
-      "f2b",
-      "f3b",
-      "f4b",
-      "f5b",
-      "f6b",
-      "f7b",
-      "f8b",
-      "f9b",
-      "ecoila",
-      "ecoilb",
-      "gasa_cal",
-      "gasb_cal",
-      "gasc_cal",
-      "gasd_cal",
-      "gase_cal",
-      "bt"
-    ],
-    "n": 29,
-    "units": {
-      "pinj": "MW",
-      "tinj": "N*m",
-      "ech_total": "MW",
-      "f1a": "A",
-      "f2a": "A",
-      "f3a": "A",
-      "f4a": "A",
-      "f5a": "A",
-      "f6a": "A",
-      "f7a": "A",
-      "f8a": "A",
-      "f9a": "A",
-      "f1b": "A",
-      "f2b": "A",
-      "f3b": "A",
-      "f4b": "A",
-      "f5b": "A",
-      "f6b": "A",
-      "f7b": "A",
-      "f8b": "A",
-      "f9b": "A",
-      "ecoila": "A",
-      "ecoilb": "A",
-      "gasa_cal": "Torr*L/s",
-      "gasb_cal": "Torr*L/s",
-      "gasc_cal": "Torr*L/s",
-      "gasd_cal": "Torr*L/s",
-      "gase_cal": "Torr*L/s",
-      "bt": "T"
-    },
-    "sources": {
-      "pinj": "ptdata:bmspinj",
-      "tinj": "ptdata:bmstinj",
-      "ech_total": "ptdata:ECHPWR",
-      "f1a": "ptdata:F1A",
-      "f2a": "ptdata:F2A",
-      "f3a": "ptdata:F3A",
-      "f4a": "ptdata:F4A",
-      "f5a": "ptdata:F5A",
-      "f6a": "ptdata:F6A",
-      "f7a": "ptdata:F7A",
-      "f8a": "ptdata:F8A",
-      "f9a": "ptdata:F9A",
-      "f1b": "ptdata:F1B",
-      "f2b": "ptdata:F2B",
-      "f3b": "ptdata:F3B",
-      "f4b": "ptdata:F4B",
-      "f5b": "ptdata:F5B",
-      "f6b": "ptdata:F6B",
-      "f7b": "ptdata:F7B",
-      "f8b": "ptdata:F8B",
-      "f9b": "ptdata:F9B",
-      "ecoila": "ptdata:ECOILA",
-      "ecoilb": "ptdata:ECOILB",
-      "gasa_cal": "tree:NEUTRALS GASFLOW.GASA:FLOW",
-      "gasb_cal": "tree:NEUTRALS GASFLOW.GASB:FLOW",
-      "gasc_cal": "tree:NEUTRALS GASFLOW.GASC:FLOW",
-      "gasd_cal": "tree:NEUTRALS GASFLOW.GASD:FLOW",
-      "gase_cal": "tree:NEUTRALS GASFLOW.GASE:FLOW",
-      "bt": "ptdata:bt"
-    },
-    "descriptions": {
-      "pinj": "Neutral beam injected power, all sources.",
-      "tinj": "Neutral beam injected torque, all sources.",
-      "ech_total": "Total electron cyclotron heating power (see note in docs/PREPROCESSING.md on this channel's scaling).",
-      "f1a": "Shaping F-coil F1A current (bank A).",
-      "f2a": "Shaping F-coil F2A current (bank A).",
-      "f3a": "Shaping F-coil F3A current (bank A).",
-      "f4a": "Shaping F-coil F4A current (bank A).",
-      "f5a": "Shaping F-coil F5A current (bank A).",
-      "f6a": "Shaping F-coil F6A current (bank A).",
-      "f7a": "Shaping F-coil F7A current (bank A).",
-      "f8a": "Shaping F-coil F8A current (bank A).",
-      "f9a": "Shaping F-coil F9A current (bank A).",
-      "f1b": "Shaping F-coil F1B current (bank B).",
-      "f2b": "Shaping F-coil F2B current (bank B).",
-      "f3b": "Shaping F-coil F3B current (bank B).",
-      "f4b": "Shaping F-coil F4B current (bank B).",
-      "f5b": "Shaping F-coil F5B current (bank B).",
-      "f6b": "Shaping F-coil F6B current (bank B).",
-      "f7b": "Shaping F-coil F7B current (bank B).",
-      "f8b": "Shaping F-coil F8B current (bank B).",
-      "f9b": "Shaping F-coil F9B current (bank B).",
-      "ecoila": "Ohmic E-coil bank A current.",
-      "ecoilb": "Ohmic E-coil bank B current.",
-      "gasa_cal": "Calibrated gas injection flow, valve A.",
-      "gasb_cal": "Calibrated gas injection flow, valve B.",
-      "gasc_cal": "Calibrated gas injection flow, valve C.",
-      "gasd_cal": "Calibrated gas injection flow, valve D.",
-      "gase_cal": "Calibrated gas injection flow, valve E.",
-      "bt": "Vacuum toroidal magnetic field (signed)."
-    },
-    "space": "raw physical units; the graph applies the z-score",
-    "note": "Check your units against actuator_ranges.json before trusting any output. A unit error produces confident nonsense rather than an exception."
-  },
-  "outputs": {
-    "names": [
-      "ne",
-      "te_ped",
-      "ti_ped",
-      "t_rot_ped",
-      "neped_prmtan",
-      "teped_prmtan",
-      "rho_sym",
-      "ne_top_loc",
-      "hmode"
-    ],
-    "n": 9,
-    "units": {
-      "ne": "1e19 m^-3",
-      "te_ped": "keV",
-      "ti_ped": "keV",
-      "t_rot_ped": "krad/s",
-      "neped_prmtan": "1e19 m^-3",
-      "teped_prmtan": "keV",
-      "rho_sym": "rho_tor (dimensionless)",
-      "ne_top_loc": "rho_tor (dimensionless)",
-      "hmode": "probability in [0, 1]"
-    },
-    "note": "Physical units. hmode is a probability in [0, 1]; the graph applies the sigmoid.",
-    "hmode_gated": {
-      "heads": [
-        "neped_prmtan",
-        "teped_prmtan",
-        "rho_sym",
-        "ne_top_loc"
-      ],
-      "indices": [
-        4,
-        5,
-        6,
-        7
-      ],
-      "threshold": 0.5,
-      "note": "These four heads were trained only on H-mode rows and are undefined otherwise. The graph does NOT gate them; the consumer must, using the model's own hmode output. See docs/GATING.md."
-    }
-  },
-  "graphs": {
-    "fuse29_step.onnx": {
-      "purpose": "real-time, one 50 ms tick per call",
-      "inputs": {
-        "actuators": [
-          "batch",
-          29
-        ],
-        "conv_state": [
-          6,
-          "batch",
-          1536,
-          3
-        ],
-        "ssm_state": [
-          6,
-          "batch",
-          8,
-          128,
-          128
-        ]
-      },
-      "outputs": {
-        "predictions": [
-          "batch",
-          9
-        ],
-        "conv_state_out": [
-          6,
-          "batch",
-          1536,
-          3
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-        "ssm_state_out": [
-          6,
-          "batch",
-          8,
-          128,
-          128
-        ]
-      },
-      "initial_state": "all zeros at the start of a shot",
-      "max_shot_length": "unbounded"
-    },
-    "fuse29_seq.onnx": {
-      "purpose": "offline scoring of a whole shot",
-      "inputs": {
-        "actuators": [
-          "batch",
-          256,
-          29
-        ]
-      },
-      "outputs": {
-        "predictions": [
-          "batch",
-          256,
-          9
-        ]
-      },
-      "seq_len": 256,
-      "note": "Sequence length is FIXED. Right-pad shorter shots with zeros and read the first T outputs; the model is strictly causal so this is exact. For longer shots use the step graph or re-export with --seq-len."
-    }
-  },
-  "dtype": "float32",
-  "onnx_opset": 17,
-  "training": {
-    "epoch": 20,
-    "val_loss": 1.1190400626510382,
-    "note": "See docs/TRAINING.md for the full recipe."
-  }
-}

s3/norms.json

@@ -1,292 +0,0 @@
-{
-  "schema_version": 2,
-  "note": "Statistics are baked into the shipped ONNX graphs. This file is for inspection and for reproducing the transform outside the graph; it is not required at inference time.",
-  "actuator_space": "physical",
-  "std_floor": 1e-06,
-  "clip_sigma": 20.0,
-  "provenance": {
-    "split": "train",
-    "n_shots": 32731,
-    "rho_index": 85,
-    "source": "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85, random stratified split (split_index.json)",
-    "note": "Recomputed on the NEW random train split. The source shards carried z-scores from the OLD chronological train split, whose shots overlap our test set. Actuator statistics are winsorised so a corrupted sample cannot set a channel's divisor.",
-    "inflated_channels": [
-      "pinj",
-      "gasc_cal",
-      "gasd_cal",
-      "gase_cal"
-    ],
-    "actuator_estimator": "winsorised to p1..p99",
-    "actuator_space": "physical",
-    "composed_from": [
-      "/lus/flare/projects/fusiondl_aesp/d3d_pedestal_fpe_harrisn85/normalization_params.json",
-      "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json"
-    ],
-    "composition": "z = (x_phys - (m1 + s1*m2)) / (s1*s2), where (m1, s1) is the upstream FPE z-score and (m2, s2) is this model's re-scale onto its own training split"
-  },
-  "actuators": {
-    "names": [
-      "pinj",
-      "tinj",
-      "ech_total",
-      "f1a",
-      "f2a",
-      "f3a",
-      "f4a",
-      "f5a",
-      "f6a",
-      "f7a",
-      "f8a",
-      "f9a",
-      "f1b",
-      "f2b",
-      "f3b",
-      "f4b",
-      "f5b",
-      "f6b",
-      "f7b",
-      "f8b",
-      "f9b",
-      "ecoila",
-      "ecoilb",
-      "gasa_cal",
-      "gasb_cal",
-      "gasc_cal",
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-      "bt"
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-    "mean": [
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-      1367.82275390625,
-      1316.67724609375,
-      1308.8258056640625,
-      1519.5994873046875,
-      1408.3306884765625,
-      1836.4208984375,
-      2510.1083984375,
-      1718.2965087890625,
-      1388.83447265625,
-      18940.9453125,
-      18723.662109375,
-      26.369497299194336,
-      3.4090511798858643,
-      0.4470684826374054,
-      0.654624342918396,
-      0.17616958916187286,
-      1.6484158039093018
-    ],
-    "transform": "z = clip((x - mean) / std, -clip_sigma, +clip_sigma), applied inside the graph"
-  },
-  "targets": {
-    "ne": {
-      "mean": 2.7511744499206543,
-      "std": 1.654153823852539
-    },
-    "te_ped": {
-      "mean": 0.5915626287460327,
-      "std": 0.43467429280281067
-    },
-    "ti_ped": {
-      "mean": 1.016850233078003,
-      "std": 0.681096076965332
-    },
-    "t_rot_ped": {
-      "mean": 21.244613647460938,
-      "std": 16.59148406982422
-    },
-    "neped_prmtan": {
-      "mean": 2.7231285572052,
-      "std": 1.7005536556243896
-    },
-    "teped_prmtan": {
-      "mean": 0.46375223994255066,
-      "std": 0.36919456720352173
-    },
-    "rho_sym": {
-      "mean": 0.9757616519927979,
-      "std": 0.04329206794500351
-    },
-    "ne_top_loc": {
-      "mean": 0.9261865019798279,
-      "std": 0.049897171556949615
-    }
-  },
-  "hmode": {
-    "transform": "sigmoid",
-    "note": "hmode is a logit in the trunk; the graph applies the sigmoid."
-  },
-  "stages": {
-    "note": "The composed actuator statistics above are the product of these two. Shown for traceability; use the composed values.",
-    "stage1_physical_to_fpe_zscore": {
-      "mean": [
-        2.8111997039100878,
-        2.154143940948575,
-        2.159654935239209,
-        -1444.0438445123289,
-        -1315.1185221229061,
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-        -2452.093120847959,
-        -3071.3132492215186,
-        1531.3304960724108,
-        -262.6728625067526,
-        -6887.604056684089,
-        -6768.996463787789,
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-        0.7508911827356307,
-        1.0383906373403984,
-        0.3920832239686922,
-        -1.0310375752078498
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-      "std": [
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-        2.3684465859740262,
-        5.948083564785035,
-        1267.4907621702682,
-        1217.4478106828162,
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-        9.017289768908354,
-        12.055982101097918,
-        6.498888909025979,
-        1.599000778986496
-      ]
-    },
-    "stage2_fpe_zscore_to_model": {
-      "mean": [
-        0.0052950419485569,
-        0.02118559367954731,
-        0.0905260294675827,
-        0.04865782707929611,
-        0.0700167864561081,
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-        1.030903697013855
-      ]
-    }
-  }
-}

s3/provenance.json

@@ -1,32 +0,0 @@
-{
-  "schema_version": 1,
-  "exported_utc": "2026-09-03T00:46:29.898835+00:00",
-  "seed": 3,
-  "source_checkpoint": "/flare/fusiondl_aesp/fuse_bd_model/fuse20/runs/fuse29r_s3/best_model.pt",
-  "source_checkpoint_sha256": "ec8986c56b48bf90ca14a2312d6024ad1541bb04baa64889e54d104ae914b914",
-  "norms_source": "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json",
-  "norms_actuator_space": "physical",
-  "norms_composed_from": [
-    "/lus/flare/projects/fusiondl_aesp/d3d_pedestal_fpe_harrisn85/normalization_params.json",
-    "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json"
-  ],
-  "onnx_opset": 17,
-  "exporter": "torch.onnx.export (TorchScript, dynamo=False)",
-  "versions": {
-    "torch": "2.10.0a0+git449b176",
-    "python": "3.12.12",
-    "platform": "Linux-5.14.21-150400.24.235-default-x86_64-with-glibc2.31",
-    "onnx": "1.22.0",
-    "onnxruntime": "1.29.0"
-  },
-  "artifacts": {
-    "fuse29_step.onnx": {
-      "bytes": 45081271,
-      "sha256": "f2b80d7f732cef7a21eb21e606cf4a3e63aa4a91a9ff6dde789d88e07fcd5418"
-    },
-    "fuse29_seq.onnx": {
-      "bytes": 45464382,
-      "sha256": "ab580c091de0471edc8454085dcda9c88650e4995be5c2ec6bd7f8b1c87d7786"
-    }
-  }
-}

s4/README.md

@@ -1,56 +0,0 @@
----
-license: mit
-library_name: onnx
-tags:
-  - onnx
-  - fusion
-  - plasma-physics
-  - tokamak
-  - diii-d
-  - mamba
----
-
-# fuse29 — seed 4
-
-This is seed 4, one of eight independently trained runs. Seed 0 is the champion and the default; this one exists so you can measure spread across training runs. Unless you are doing that, you want seed 0.
-
-29-input Mamba-2 pedestal predictor for DIII-D. Raw physical units in,
-physical units out. See the [root model card](https://huggingface.co/SCS-Lab/FUSE29-Pedestal-model)
-for the full description, I/O contract, accuracy and limitations.
-
-| | |
-|---|---|
-| Seed | 4 |
-| Parameters | 11,254,425 |
-| Best validation loss | 1.1321 |
-| Sequence graph length | 256 ticks |
-| ONNX opset | 17 |
-| Exported | 2026-09-03T00:46:32.537210+00:00 |
-| Source checkpoint SHA-256 | `d36f1364948aded5…` |
-
-## Load
-
-```python
-from fuse29.runtime import Fuse29Predictor
-
-predictor = Fuse29Predictor.from_pretrained("SCS-Lab/FUSE29-Pedestal-model", seed=4)
-```
-
-## Files
-
-| File | |
-|---|---|
-| `fuse29_step.onnx` | one 50 ms tick, carries state, no length limit |
-| `fuse29_seq.onnx` | whole shot at a fixed 256 ticks |
-| `model_config.json` | I/O contract: names, order, units, sources, shapes |
-| `norms.json` | the statistics baked into the graphs |
-| `actuator_ranges.json` | training-split distribution, for checking your units |
-| `provenance.json` | source checkpoint hash, library versions, artefact hashes |
-
-## Before you use it
-
-- Four heads (`neped_prmtan`, `teped_prmtan`, `rho_sym`, `ne_top_loc`) are
-  **only valid in H-mode** and the graph does not gate them. Gate on the
-  model's own `hmode` output.
-- `pinj` is in **MW**, not W. Run `predictor.check_units(shot)` once.
-- Output column order is not alphabetical. See `model_config.json`.

s4/actuator_ranges.json

@@ -1,600 +0,0 @@
-{
-  "schema_version": 1,
-  "note": "Physical-units distribution of each actuator over the training split. Use it to check that your signals are in the units the graph expects; a unit error is the one preprocessing mistake that produces confident nonsense rather than an exception.",
-  "split": "train",
-  "n_shots": 32731,
-  "n_ticks": 3020926,
-  "percentiles": [
-    0.1,
-    1,
-    5,
-    25,
-    50,
-    75,
-    95,
-    99,
-    99.9
-  ],
-  "channels": {
-    "pinj": {
-      "units": "MW",
-      "source": "ptdata:bmspinj",
-      "description": "Neutral beam injected power, all sources.",
-      "min": -46005.02701919088,
-      "max": 17.512712760455507,
-      "mean": 3.838883638381958,
-      "std": 3.0613932609558105,
-      "pct": {
-        "0.1": -0.004132416388869853,
-        "1": 4.112187479421436e-09,
-        "5": 4.112187479421436e-09,
-        "25": 1.311169336894574,
-        "50": 3.18466408866965,
-        "75": 5.748764762873332,
-        "95": 9.841882532311711,
-        "99": 12.212702351352696,
-        "99.9": 14.791924355083399
-      }
-    },
-    "tinj": {
-      "units": "N*m",
-      "source": "ptdata:bmstinj",
-      "description": "Neutral beam injected torque, all sources.",
-      "min": -56.644382966354534,
-      "max": 129.9833380295058,
-      "mean": 2.2043209075927734,
-      "std": 2.11222505569458,
-      "pct": {
-        "0.1": -2.0636791725994676,
-        "1": -0.5384317586520496,
-        "5": -1.6338495756329507e-07,
-        "25": 0.4319133403840452,
-        "50": 1.963846077087278,
-        "75": 3.1821234334199193,
-        "95": 6.641525317445799,
-        "99": 8.941231792062355,
-        "99.9": 11.156712776956862
-      }
-    },
-    "ech_total": {
-      "units": "MW",
-      "source": "ptdata:ECHPWR",
-      "description": "Total electron cyclotron heating power (see note in docs/PREPROCESSING.md on this channel's scaling).",
-      "min": -19.31181996542309,
-      "max": 40.286455582885246,
-      "mean": 2.6981112957000732,
-      "std": 6.685519218444824,
-      "pct": {
-        "0.1": -1.0663586061709935,
-        "1": -0.09982622583332723,
-        "5": -0.020836448436920674,
-        "25": -3.2566890961760464e-08,
-        "50": -3.2566890961760464e-08,
-        "75": 1.1717011943616973,
-        "95": 21.558252060431304,
-        "99": 30.476182922859127,
-        "99.9": 37.09168917133024
-      }
-    },
-    "f1a": {
-      "units": "A",
-      "source": "ptdata:F1A",
-      "description": "Shaping F-coil F1A current (bank A).",
-      "min": -5776.925892871883,
-      "max": 5794.3504737288395,
-      "mean": -1382.3704833984375,
-      "std": 1349.629638671875,
-      "pct": {
-        "0.1": -4852.691808601986,
-        "1": -4131.456225748339,
-        "5": -3401.8604035239678,
-        "25": -2236.4754469921672,
-        "50": -1501.5458201268116,
-        "75": -660.4245966463927,
-        "95": 1294.4315819071094,
-        "99": 3103.250955923345,
-        "99.9": 4467.289606367005
-      }
-    },
-    "f2a": {
-      "units": "A",
-      "source": "ptdata:F2A",
-      "description": "Shaping F-coil F2A current (bank A).",
-      "min": -5716.347659616551,
-      "max": 5702.840977614059,
-      "mean": -1229.876708984375,
-      "std": 1248.3497314453125,
-      "pct": {
-        "0.1": -4093.397230708888,
-        "1": -3297.8668360449756,
-        "5": -2712.522533155646,
-        "25": -2004.455454331444,
-        "50": -1443.842241803098,
-        "75": -854.5004209979342,
-        "95": 1825.579117167513,
-        "99": 3097.0902901803724,
-        "99.9": 3899.548655232026
-      }
-    },
-    "f3a": {
-      "units": "A",
-      "source": "ptdata:F3A",
-      "description": "Shaping F-coil F3A current (bank A).",
-      "min": -5498.272347966228,
-      "max": 5321.719922394657,
-      "mean": -592.7352294921875,
-      "std": 1185.706298828125,
-      "pct": {
-        "0.1": -4140.690909683277,
-        "1": -3539.2136012211317,
-        "5": -2813.2888996278725,
-        "25": -1377.7435033975407,
-        "50": -152.16189816331342,
-        "75": 2.4453898354848604,
-        "95": 1203.107532773337,
-        "99": 2898.3184344684487,
-        "99.9": 3780.0556837479485
-      }
-    },
-    "f4a": {
-      "units": "A",
-      "source": "ptdata:F4A",
-      "description": "Shaping F-coil F4A current (bank A).",
-      "min": -5876.373800845117,
-      "max": 5855.700219305917,
-      "mean": 1098.1622314453125,
-      "std": 1368.95458984375,
-      "pct": {
-        "0.1": -4331.218505807293,
-        "1": -3344.4526378786877,
-        "5": -1858.4157962413597,
-        "25": 395.84891116184133,
-        "50": 1143.436262581068,
-        "75": 1990.2677717095535,
-        "95": 3141.5448401142426,
-        "99": 3756.430079500399,
-        "99.9": 4525.754910416766
-      }
-    },
-    "f5a": {
-      "units": "A",
-      "source": "ptdata:F5A",
-      "description": "Shaping F-coil F5A current (bank A).",
-      "min": -5178.8539079385355,
-      "max": 5353.141466672798,
-      "mean": 1173.57958984375,
-      "std": 1352.103759765625,
-      "pct": {
-        "0.1": -4592.7059148331355,
-        "1": -3597.7201189044818,
-        "5": -1551.4942446467403,
-        "25": 543.836095032849,
-        "50": 1273.969119983141,
-        "75": 2051.0443148459794,
-        "95": 3019.669622905384,
-        "99": 3875.454685744494,
-        "99.9": 4738.506855960392
-      }
-    },
-    "f6a": {
-      "units": "A",
-      "source": "ptdata:F6A",
-      "description": "Shaping F-coil F6A current (bank A).",
-      "min": -7929.903731492232,
-      "max": 5741.056818467809,
-      "mean": -2493.411865234375,
-      "std": 1867.8076171875,
-      "pct": {
-        "0.1": -6125.90268588119,
-        "1": -4963.398523516425,
-        "5": -4319.477588996284,
-        "25": -3574.8234234024885,
-        "50": -2898.635802832382,
-        "75": -2143.0930801744807,
-        "95": 2999.75903843203,
-        "99": 4137.6543157735705,
-        "99.9": 4783.375582166487
-      }
-    },
-    "f7a": {
-      "units": "A",
-      "source": "ptdata:F7A",
-      "description": "Shaping F-coil F7A current (bank A).",
-      "min": -9825.736080045011,
-      "max": 8678.484606762057,
-      "mean": -2367.570556640625,
-      "std": 1999.19970703125,
-      "pct": {
-        "0.1": -7676.219824168618,
-        "1": -6127.379912259545,
-        "5": -4909.893927511103,
-        "25": -3430.1309476786882,
-        "50": -2697.460342263373,
-        "75": -1913.0579478721388,
-        "95": 2723.164038733837,
-        "99": 3948.221013655396,
-        "99.9": 5316.086800760559
-      }
-    },
-    "f8a": {
-      "units": "A",
-      "source": "ptdata:F8A",
-      "description": "Shaping F-coil F8A current (bank A).",
-      "min": -5378.835169240788,
-      "max": 5880.767402237174,
-      "mean": 996.0214233398438,
-      "std": 1498.948974609375,
-      "pct": {
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-        "1": -3363.368412210415,
-        "5": -1922.2114690963926,
-        "25": 60.761390529545906,
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-        "95": 3318.078493605748,
-        "99": 3973.7764489149104,
-        "99.9": 4670.296725684707
-      }
-    },
-    "f9a": {
-      "units": "A",
-      "source": "ptdata:F9A",
-      "description": "Shaping F-coil F9A current (bank A).",
-      "min": -7206.032812499594,
-      "max": 8700.684616308497,
-      "mean": -535.8018798828125,
-      "std": 1258.01171875,
-      "pct": {
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-        "1": -3344.557163847978,
-        "5": -2567.420669960383,
-        "25": -1538.6304412830955,
-        "50": -578.9736547563273,
-        "75": 353.08467764596537,
-        "95": 1558.2607279613098,
-        "99": 2657.691791383836,
-        "99.9": 4334.930796170508
-      }
-    },
-    "f1b": {
-      "units": "A",
-      "source": "ptdata:F1B",
-      "description": "Shaping F-coil F1B current (bank B).",
-      "min": -5921.943154546981,
-      "max": 5407.326196618229,
-      "mean": -1373.1888427734375,
-      "std": 1367.82275390625,
-      "pct": {
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-        "25": -2205.922070942479,
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-        "95": 1428.796834935177,
-        "99": 3233.0438718527407,
-        "99.9": 4240.724502122051
-      }
-    },
-    "f2b": {
-      "units": "A",
-      "source": "ptdata:F2B",
-      "description": "Shaping F-coil F2B current (bank B).",
-      "min": -5788.286812358208,
-      "max": 5428.562849130928,
-      "mean": -1218.50048828125,
-      "std": 1316.67724609375,
-      "pct": {
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-      "source": "ptdata:F3B",
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-      "description": "Shaping F-coil F6B current (bank B).",
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-      "units": "A",
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-      "description": "Shaping F-coil F7B current (bank B).",
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-      "units": "A",
-      "source": "ptdata:F8B",
-      "description": "Shaping F-coil F8B current (bank B).",
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-      "units": "A",
-      "source": "ptdata:F9B",
-      "description": "Shaping F-coil F9B current (bank B).",
-      "min": -7298.33418485197,
-      "max": 8673.475372842513,
-      "mean": -214.02586364746094,
-      "std": 1388.83447265625,
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-    },
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-      "units": "A",
-      "source": "ptdata:ECOILA",
-      "description": "Ohmic E-coil bank A current.",
-      "min": -68526.67779690563,
-      "max": 65669.33446503483,
-      "mean": -6965.32666015625,
-      "std": 18940.9453125,
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-      "units": "A",
-      "source": "ptdata:ECOILB",
-      "description": "Ohmic E-coil bank B current.",
-      "min": -67880.78461590248,
-      "max": 67380.80764904841,
-      "mean": -6876.16455078125,
-      "std": 18723.662109375,
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-        "25": -19383.82435886666,
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-    },
-    "gasa_cal": {
-      "units": "Torr*L/s",
-      "source": "tree:NEUTRALS GASFLOW.GASA:FLOW",
-      "description": "Calibrated gas injection flow, valve A.",
-      "min": -0.9805486760911233,
-      "max": 348.1779045740827,
-      "mean": 15.054444313049316,
-      "std": 26.369497299194336,
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-    },
-    "gasb_cal": {
-      "units": "Torr*L/s",
-      "source": "tree:NEUTRALS GASFLOW.GASB:FLOW",
-      "description": "Calibrated gas injection flow, valve B.",
-      "min": -0.5231055139632899,
-      "max": 317.69717326145866,
-      "mean": 1.386172890663147,
-      "std": 3.4090511798858643,
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-      "units": "Torr*L/s",
-      "source": "tree:NEUTRALS GASFLOW.GASC:FLOW",
-      "description": "Calibrated gas injection flow, valve C.",
-      "min": -0.3965804467767108,
-      "max": 306.0269668007428,
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-    "gasd_cal": {
-      "units": "Torr*L/s",
-      "source": "tree:NEUTRALS GASFLOW.GASD:FLOW",
-      "description": "Calibrated gas injection flow, valve D.",
-      "min": -0.5287260135880842,
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-      "mean": 0.528103232383728,
-      "std": 0.654624342918396,
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-    "gase_cal": {
-      "units": "Torr*L/s",
-      "source": "tree:NEUTRALS GASFLOW.GASE:FLOW",
-      "description": "Calibrated gas injection flow, valve E.",
-      "min": -0.2211384331710633,
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-      "mean": 0.27696067094802856,
-      "std": 0.17616958916187286,
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-    "bt": {
-      "units": "T",
-      "source": "ptdata:bt",
-      "description": "Vacuum toroidal magnetic field (signed).",
-      "min": -2.2353815075115375,
-      "max": 2.25186423641397,
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-  }
-}

s4/fuse29_seq.onnx

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-oid sha256:2348d2e1930835363dfade74cfc47d46c88e0691693f60e85cffc2d459ecf774
-size 45464382

s4/fuse29_step.onnx

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7c74bffd61e2c69cae1b8b182fbde8897ce971901d83beded7f6a2e0c919fedc
-size 45081271

s4/model_config.json

@@ -1,268 +0,0 @@
-{
-  "schema_version": 1,
-  "model": "fuse29",
-  "seed": 4,
-  "description": "29-input Mamba-2 pedestal predictor for DIII-D. Strictly causal, 20 Hz, nine heads at rho_tor = 0.85.",
-  "architecture": {
-    "family": "Mamba-2 (structured state-space duality)",
-    "d_model": 512,
-    "n_layers": 6,
-    "d_state": 128,
-    "d_conv": 4,
-    "expand": 2,
-    "headdim": 128,
-    "nheads": 8,
-    "ngroups": 2,
-    "chunk_size": 100,
-    "d_inner": 1024,
-    "conv_dim": 1536,
-    "n_params": 11254425
-  },
-  "cadence": {
-    "hz": 20,
-    "period_ms": 50.0,
-    "rho_tor": 0.85
-  },
-  "inputs": {
-    "names": [
-      "pinj",
-      "tinj",
-      "ech_total",
-      "f1a",
-      "f2a",
-      "f3a",
-      "f4a",
-      "f5a",
-      "f6a",
-      "f7a",
-      "f8a",
-      "f9a",
-      "f1b",
-      "f2b",
-      "f3b",
-      "f4b",
-      "f5b",
-      "f6b",
-      "f7b",
-      "f8b",
-      "f9b",
-      "ecoila",
-      "ecoilb",
-      "gasa_cal",
-      "gasb_cal",
-      "gasc_cal",
-      "gasd_cal",
-      "gase_cal",
-      "bt"
-    ],
-    "n": 29,
-    "units": {
-      "pinj": "MW",
-      "tinj": "N*m",
-      "ech_total": "MW",
-      "f1a": "A",
-      "f2a": "A",
-      "f3a": "A",
-      "f4a": "A",
-      "f5a": "A",
-      "f6a": "A",
-      "f7a": "A",
-      "f8a": "A",
-      "f9a": "A",
-      "f1b": "A",
-      "f2b": "A",
-      "f3b": "A",
-      "f4b": "A",
-      "f5b": "A",
-      "f6b": "A",
-      "f7b": "A",
-      "f8b": "A",
-      "f9b": "A",
-      "ecoila": "A",
-      "ecoilb": "A",
-      "gasa_cal": "Torr*L/s",
-      "gasb_cal": "Torr*L/s",
-      "gasc_cal": "Torr*L/s",
-      "gasd_cal": "Torr*L/s",
-      "gase_cal": "Torr*L/s",
-      "bt": "T"
-    },
-    "sources": {
-      "pinj": "ptdata:bmspinj",
-      "tinj": "ptdata:bmstinj",
-      "ech_total": "ptdata:ECHPWR",
-      "f1a": "ptdata:F1A",
-      "f2a": "ptdata:F2A",
-      "f3a": "ptdata:F3A",
-      "f4a": "ptdata:F4A",
-      "f5a": "ptdata:F5A",
-      "f6a": "ptdata:F6A",
-      "f7a": "ptdata:F7A",
-      "f8a": "ptdata:F8A",
-      "f9a": "ptdata:F9A",
-      "f1b": "ptdata:F1B",
-      "f2b": "ptdata:F2B",
-      "f3b": "ptdata:F3B",
-      "f4b": "ptdata:F4B",
-      "f5b": "ptdata:F5B",
-      "f6b": "ptdata:F6B",
-      "f7b": "ptdata:F7B",
-      "f8b": "ptdata:F8B",
-      "f9b": "ptdata:F9B",
-      "ecoila": "ptdata:ECOILA",
-      "ecoilb": "ptdata:ECOILB",
-      "gasa_cal": "tree:NEUTRALS GASFLOW.GASA:FLOW",
-      "gasb_cal": "tree:NEUTRALS GASFLOW.GASB:FLOW",
-      "gasc_cal": "tree:NEUTRALS GASFLOW.GASC:FLOW",
-      "gasd_cal": "tree:NEUTRALS GASFLOW.GASD:FLOW",
-      "gase_cal": "tree:NEUTRALS GASFLOW.GASE:FLOW",
-      "bt": "ptdata:bt"
-    },
-    "descriptions": {
-      "pinj": "Neutral beam injected power, all sources.",
-      "tinj": "Neutral beam injected torque, all sources.",
-      "ech_total": "Total electron cyclotron heating power (see note in docs/PREPROCESSING.md on this channel's scaling).",
-      "f1a": "Shaping F-coil F1A current (bank A).",
-      "f2a": "Shaping F-coil F2A current (bank A).",
-      "f3a": "Shaping F-coil F3A current (bank A).",
-      "f4a": "Shaping F-coil F4A current (bank A).",
-      "f5a": "Shaping F-coil F5A current (bank A).",
-      "f6a": "Shaping F-coil F6A current (bank A).",
-      "f7a": "Shaping F-coil F7A current (bank A).",
-      "f8a": "Shaping F-coil F8A current (bank A).",
-      "f9a": "Shaping F-coil F9A current (bank A).",
-      "f1b": "Shaping F-coil F1B current (bank B).",
-      "f2b": "Shaping F-coil F2B current (bank B).",
-      "f3b": "Shaping F-coil F3B current (bank B).",
-      "f4b": "Shaping F-coil F4B current (bank B).",
-      "f5b": "Shaping F-coil F5B current (bank B).",
-      "f6b": "Shaping F-coil F6B current (bank B).",
-      "f7b": "Shaping F-coil F7B current (bank B).",
-      "f8b": "Shaping F-coil F8B current (bank B).",
-      "f9b": "Shaping F-coil F9B current (bank B).",
-      "ecoila": "Ohmic E-coil bank A current.",
-      "ecoilb": "Ohmic E-coil bank B current.",
-      "gasa_cal": "Calibrated gas injection flow, valve A.",
-      "gasb_cal": "Calibrated gas injection flow, valve B.",
-      "gasc_cal": "Calibrated gas injection flow, valve C.",
-      "gasd_cal": "Calibrated gas injection flow, valve D.",
-      "gase_cal": "Calibrated gas injection flow, valve E.",
-      "bt": "Vacuum toroidal magnetic field (signed)."
-    },
-    "space": "raw physical units; the graph applies the z-score",
-    "note": "Check your units against actuator_ranges.json before trusting any output. A unit error produces confident nonsense rather than an exception."
-  },
-  "outputs": {
-    "names": [
-      "ne",
-      "te_ped",
-      "ti_ped",
-      "t_rot_ped",
-      "neped_prmtan",
-      "teped_prmtan",
-      "rho_sym",
-      "ne_top_loc",
-      "hmode"
-    ],
-    "n": 9,
-    "units": {
-      "ne": "1e19 m^-3",
-      "te_ped": "keV",
-      "ti_ped": "keV",
-      "t_rot_ped": "krad/s",
-      "neped_prmtan": "1e19 m^-3",
-      "teped_prmtan": "keV",
-      "rho_sym": "rho_tor (dimensionless)",
-      "ne_top_loc": "rho_tor (dimensionless)",
-      "hmode": "probability in [0, 1]"
-    },
-    "note": "Physical units. hmode is a probability in [0, 1]; the graph applies the sigmoid.",
-    "hmode_gated": {
-      "heads": [
-        "neped_prmtan",
-        "teped_prmtan",
-        "rho_sym",
-        "ne_top_loc"
-      ],
-      "indices": [
-        4,
-        5,
-        6,
-        7
-      ],
-      "threshold": 0.5,
-      "note": "These four heads were trained only on H-mode rows and are undefined otherwise. The graph does NOT gate them; the consumer must, using the model's own hmode output. See docs/GATING.md."
-    }
-  },
-  "graphs": {
-    "fuse29_step.onnx": {
-      "purpose": "real-time, one 50 ms tick per call",
-      "inputs": {
-        "actuators": [
-          "batch",
-          29
-        ],
-        "conv_state": [
-          6,
-          "batch",
-          1536,
-          3
-        ],
-        "ssm_state": [
-          6,
-          "batch",
-          8,
-          128,
-          128
-        ]
-      },
-      "outputs": {
-        "predictions": [
-          "batch",
-          9
-        ],
-        "conv_state_out": [
-          6,
-          "batch",
-          1536,
-          3
-        ],
-        "ssm_state_out": [
-          6,
-          "batch",
-          8,
-          128,
-          128
-        ]
-      },
-      "initial_state": "all zeros at the start of a shot",
-      "max_shot_length": "unbounded"
-    },
-    "fuse29_seq.onnx": {
-      "purpose": "offline scoring of a whole shot",
-      "inputs": {
-        "actuators": [
-          "batch",
-          256,
-          29
-        ]
-      },
-      "outputs": {
-        "predictions": [
-          "batch",
-          256,
-          9
-        ]
-      },
-      "seq_len": 256,
-      "note": "Sequence length is FIXED. Right-pad shorter shots with zeros and read the first T outputs; the model is strictly causal so this is exact. For longer shots use the step graph or re-export with --seq-len."
-    }
-  },
-  "dtype": "float32",
-  "onnx_opset": 17,
-  "training": {
-    "epoch": 22,
-    "val_loss": 1.1320768278092146,
-    "note": "See docs/TRAINING.md for the full recipe."
-  }
-}

s4/norms.json

@@ -1,292 +0,0 @@
-{
-  "schema_version": 2,
-  "note": "Statistics are baked into the shipped ONNX graphs. This file is for inspection and for reproducing the transform outside the graph; it is not required at inference time.",
-  "actuator_space": "physical",
-  "std_floor": 1e-06,
-  "clip_sigma": 20.0,
-  "provenance": {
-    "split": "train",
-    "n_shots": 32731,
-    "rho_index": 85,
-    "source": "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85, random stratified split (split_index.json)",
-    "note": "Recomputed on the NEW random train split. The source shards carried z-scores from the OLD chronological train split, whose shots overlap our test set. Actuator statistics are winsorised so a corrupted sample cannot set a channel's divisor.",
-    "inflated_channels": [
-      "pinj",
-      "gasc_cal",
-      "gasd_cal",
-      "gase_cal"
-    ],
-    "actuator_estimator": "winsorised to p1..p99",
-    "actuator_space": "physical",
-    "composed_from": [
-      "/lus/flare/projects/fusiondl_aesp/d3d_pedestal_fpe_harrisn85/normalization_params.json",
-      "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json"
-    ],
-    "composition": "z = (x_phys - (m1 + s1*m2)) / (s1*s2), where (m1, s1) is the upstream FPE z-score and (m2, s2) is this model's re-scale onto its own training split"
-  },
-  "actuators": {
-    "names": [
-      "pinj",
-      "tinj",
-      "ech_total",
-      "f1a",
-      "f2a",
-      "f3a",
-      "f4a",
-      "f5a",
-      "f6a",
-      "f7a",
-      "f8a",
-      "f9a",
-      "f1b",
-      "f2b",
-      "f3b",
-      "f4b",
-      "f5b",
-      "f6b",
-      "f7b",
-      "f8b",
-      "f9b",
-      "ecoila",
-      "ecoilb",
-      "gasa_cal",
-      "gasb_cal",
-      "gasc_cal",
-      "gasd_cal",
-      "gase_cal",
-      "bt"
-    ],
-    "mean": [
-      3.838883638381958,
-      2.2043209075927734,
-      2.6981112957000732,
-      -1382.3704833984375,
-      -1229.876708984375,
-      -592.7352294921875,
-      1098.1622314453125,
-      1173.57958984375,
-      -2493.411865234375,
-      -2367.570556640625,
-      996.0214233398438,
-      -535.8018798828125,
-      -1373.1888427734375,
-      -1218.50048828125,
-      -1005.3848266601562,
-      1124.2967529296875,
-      1443.536865234375,
-      -2463.248046875,
-      -2941.56005859375,
-      1431.05615234375,
-      -214.02586364746094,
-      -6965.32666015625,
-      -6876.16455078125,
-      15.054444313049316,
-      1.386172890663147,
-      0.35034820437431335,
-      0.528103232383728,
-      0.27696067094802856,
-      -0.971906840801239
-    ],
-    "std": [
-      3.0613932609558105,
-      2.11222505569458,
-      6.685519218444824,
-      1349.629638671875,
-      1248.3497314453125,
-      1185.706298828125,
-      1368.95458984375,
-      1352.103759765625,
-      1867.8076171875,
-      1999.19970703125,
-      1498.948974609375,
-      1258.01171875,
-      1367.82275390625,
-      1316.67724609375,
-      1308.8258056640625,
-      1519.5994873046875,
-      1408.3306884765625,
-      1836.4208984375,
-      2510.1083984375,
-      1718.2965087890625,
-      1388.83447265625,
-      18940.9453125,
-      18723.662109375,
-      26.369497299194336,
-      3.4090511798858643,
-      0.4470684826374054,
-      0.654624342918396,
-      0.17616958916187286,
-      1.6484158039093018
-    ],
-    "transform": "z = clip((x - mean) / std, -clip_sigma, +clip_sigma), applied inside the graph"
-  },
-  "targets": {
-    "ne": {
-      "mean": 2.7511744499206543,
-      "std": 1.654153823852539
-    },
-    "te_ped": {
-      "mean": 0.5915626287460327,
-      "std": 0.43467429280281067
-    },
-    "ti_ped": {
-      "mean": 1.016850233078003,
-      "std": 0.681096076965332
-    },
-    "t_rot_ped": {
-      "mean": 21.244613647460938,
-      "std": 16.59148406982422
-    },
-    "neped_prmtan": {
-      "mean": 2.7231285572052,
-      "std": 1.7005536556243896
-    },
-    "teped_prmtan": {
-      "mean": 0.46375223994255066,
-      "std": 0.36919456720352173
-    },
-    "rho_sym": {
-      "mean": 0.9757616519927979,
-      "std": 0.04329206794500351
-    },
-    "ne_top_loc": {
-      "mean": 0.9261865019798279,
-      "std": 0.049897171556949615
-    }
-  },
-  "hmode": {
-    "transform": "sigmoid",
-    "note": "hmode is a logit in the trunk; the graph applies the sigmoid."
-  },
-  "stages": {
-    "note": "The composed actuator statistics above are the product of these two. Shown for traceability; use the composed values.",
-    "stage1_physical_to_fpe_zscore": {
-      "mean": [
-        2.8111997039100878,
-        2.154143940948575,
-        2.159654935239209,
-        -1444.0438445123289,
-        -1315.1185221229061,
-        -639.741760304047,
-        1172.4978680515835,
-        1222.4970107268077,
-        -2488.8410961768263,
-        -2491.3739557685253,
-        1050.107386405324,
-        -578.9736547563273,
-        -1421.0817159358041,
-        -1285.3967398730092,
-        -1061.0290851406676,
-        1186.4795970820587,
-        1460.6822372728345,
-        -2452.093120847959,
-        -3071.3132492215186,
-        1531.3304960724108,
-        -262.6728625067526,
-        -6887.604056684089,
-        -6768.996463787789,
-        14.89178144369171,
-        1.9421402622606716,
-        0.7508911827356307,
-        1.0383906373403984,
-        0.3920832239686922,
-        -1.0310375752078498
-      ],
-      "std": [
-        194.08418888726106,
-        2.3684465859740262,
-        5.948083564785035,
-        1267.4907621702682,
-        1217.4478106828162,
-        1249.3915272640536,
-        1345.3871181128568,
-        1359.1934832307923,
-        1887.1891497052302,
-        1888.1014577442652,
-        1559.9875106371376,
-        1287.2118470203372,
-        1271.813282654729,
-        1259.8644805335082,
-        1361.9306367877398,
-        1521.172083160852,
-        1393.2120473032558,
-        1856.723912629122,
-        2432.8530409799628,
-        1705.6959050005082,
-        1421.8036451037203,
-        19092.148992270486,
-        18858.28389193975,
-        27.289184462156058,
-        11.092415079529571,
-        9.017289768908354,
-        12.055982101097918,
-        6.498888909025979,
-        1.599000778986496
-      ]
-    },
-    "stage2_fpe_zscore_to_model": {
-      "mean": [
-        0.0052950419485569,
-        0.02118559367954731,
-        0.0905260294675827,
-        0.04865782707929611,
-        0.0700167864561081,
-        0.03762352466583252,
-        -0.05525219440460205,
-        -0.03599006310105324,
-        -0.002421961398795247,
-        0.06557027250528336,
-        -0.03467077016830444,
-        0.03353898227214813,
-        0.03765711933374405,
-        0.05309795215725899,
-        0.040856875479221344,
-        -0.04087827727198601,
-        -0.012306398712098598,
-        -0.006007813848555088,
-        0.05333370715379715,
-        -0.05878793075680733,
-        0.03421499580144882,
-        -0.004070908762514591,
-        -0.00568280229344964,
-        0.005960696842521429,
-        -0.050121404230594635,
-        -0.04441944137215614,
-        -0.042326491326093674,
-        -0.017714189365506172,
-        0.036979787051677704
-      ],
-      "std": [
-        0.015773532912135124,
-        0.8918187022209167,
-        1.1239787340164185,
-        1.0648043155670166,
-        1.0253825187683105,
-        0.9490270018577576,
-        1.0175172090530396,
-        0.994783878326416,
-        0.9897299408912659,
-        1.0588412284851074,
-        0.9608724117279053,
-        0.9773152470588684,
-        1.0754902362823486,
-        1.04509437084198,
-        0.9610077142715454,
-        0.9989661574363708,
-        1.0108516216278076,
-        0.9890651702880859,
-        1.0317550897598267,
-        1.007387399673462,
-        0.9768117070198059,
-        0.9920803308486938,
-        0.9928614497184753,
-        0.9662984609603882,
-        0.30733174085617065,
-        0.04957903176546097,
-        0.05429871752858162,
-        0.02710764855146408,
-        1.030903697013855
-      ]
-    }
-  }
-}

s4/provenance.json

@@ -1,32 +0,0 @@
-{
-  "schema_version": 1,
-  "exported_utc": "2026-09-03T00:46:32.537210+00:00",
-  "seed": 4,
-  "source_checkpoint": "/flare/fusiondl_aesp/fuse_bd_model/fuse20/runs/fuse29r_s4/best_model.pt",
-  "source_checkpoint_sha256": "d36f1364948aded5be459beb9a7670d59366272471c4f8ef36338135d8242104",
-  "norms_source": "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json",
-  "norms_actuator_space": "physical",
-  "norms_composed_from": [
-    "/lus/flare/projects/fusiondl_aesp/d3d_pedestal_fpe_harrisn85/normalization_params.json",
-    "/lus/flare/projects/fusiondl_aesp/d3d_fuse20_rho85/norms.json"
-  ],
-  "onnx_opset": 17,
-  "exporter": "torch.onnx.export (TorchScript, dynamo=False)",
-  "versions": {
-    "torch": "2.10.0a0+git449b176",
-    "python": "3.12.12",
-    "platform": "Linux-5.14.21-150400.24.235-default-x86_64-with-glibc2.31",
-    "onnx": "1.22.0",
-    "onnxruntime": "1.29.0"
-  },
-  "artifacts": {
-    "fuse29_step.onnx": {
-      "bytes": 45081271,
-      "sha256": "7c74bffd61e2c69cae1b8b182fbde8897ce971901d83beded7f6a2e0c919fedc"
-    },
-    "fuse29_seq.onnx": {
-      "bytes": 45464382,
-      "sha256": "2348d2e1930835363dfade74cfc47d46c88e0691693f60e85cffc2d459ecf774"
-    }
-  }
-}

s5/README.md

@@ -1,56 +0,0 @@
----
-license: mit
-library_name: onnx
-tags:
-  - onnx
-  - fusion
-  - plasma-physics
-  - tokamak
-  - diii-d
-  - mamba
----
-
-# fuse29 — seed 5
-
-This is seed 5, one of eight independently trained runs. Seed 0 is the champion and the default; this one exists so you can measure spread across training runs. Unless you are doing that, you want seed 0.
-
-29-input Mamba-2 pedestal predictor for DIII-D. Raw physical units in,
-physical units out. See the [root model card](https://huggingface.co/SCS-Lab/FUSE29-Pedestal-model)
-for the full description, I/O contract, accuracy and limitations.
-
-| | |
-|---|---|
-| Seed | 5 |
-| Parameters | 11,254,425 |
-| Best validation loss | 1.1122 |
-| Sequence graph length | 256 ticks |
-| ONNX opset | 17 |
-| Exported | 2026-09-03T00:46:35.316400+00:00 |
-| Source checkpoint SHA-256 | `d01cae015ed05e7e…` |
-
-## Load
-
-```python
-from fuse29.runtime import Fuse29Predictor
-
-predictor = Fuse29Predictor.from_pretrained("SCS-Lab/FUSE29-Pedestal-model", seed=5)
-```
-
-## Files
-
-| File | |
-|---|---|
-| `fuse29_step.onnx` | one 50 ms tick, carries state, no length limit |
-| `fuse29_seq.onnx` | whole shot at a fixed 256 ticks |
-| `model_config.json` | I/O contract: names, order, units, sources, shapes |
-| `norms.json` | the statistics baked into the graphs |
-| `actuator_ranges.json` | training-split distribution, for checking your units |
-| `provenance.json` | source checkpoint hash, library versions, artefact hashes |
-
-## Before you use it
-
-- Four heads (`neped_prmtan`, `teped_prmtan`, `rho_sym`, `ne_top_loc`) are
-  **only valid in H-mode** and the graph does not gate them. Gate on the
-  model's own `hmode` output.
-- `pinj` is in **MW**, not W. Run `predictor.check_units(shot)` once.
-- Output column order is not alphabetical. See `model_config.json`.

s5/actuator_ranges.json

@@ -1,600 +0,0 @@
-{
-  "schema_version": 1,
-  "note": "Physical-units distribution of each actuator over the training split. Use it to check that your signals are in the units the graph expects; a unit error is the one preprocessing mistake that produces confident nonsense rather than an exception.",
-  "split": "train",
-  "n_shots": 32731,
-  "n_ticks": 3020926,
-  "percentiles": [
-    0.1,
-    1,
-    5,
-    25,
-    50,
-    75,
-    95,
-    99,
-    99.9
-  ],
-  "channels": {
-    "pinj": {
-      "units": "MW",
-      "source": "ptdata:bmspinj",
-      "description": "Neutral beam injected power, all sources.",
-      "min": -46005.02701919088,
-      "max": 17.512712760455507,
-      "mean": 3.838883638381958,
-      "std": 3.0613932609558105,
-      "pct": {
-        "0.1": -0.004132416388869853,
-        "1": 4.112187479421436e-09,
-        "5": 4.112187479421436e-09,
-        "25": 1.311169336894574,
-        "50": 3.18466408866965,
-        "75": 5.748764762873332,
-        "95": 9.841882532311711,
-        "99": 12.212702351352696,
-        "99.9": 14.791924355083399
-      }
-    },
-    "tinj": {
-      "units": "N*m",
-      "source": "ptdata:bmstinj",
-      "description": "Neutral beam injected torque, all sources.",
-      "min": -56.644382966354534,
-      "max": 129.9833380295058,
-      "mean": 2.2043209075927734,
-      "std": 2.11222505569458,
-      "pct": {
-        "0.1": -2.0636791725994676,
-        "1": -0.5384317586520496,
-        "5": -1.6338495756329507e-07,
-        "25": 0.4319133403840452,
-        "50": 1.963846077087278,
-        "75": 3.1821234334199193,
-        "95": 6.641525317445799,
-        "99": 8.941231792062355,
-        "99.9": 11.156712776956862
-      }
-    },
-    "ech_total": {
-      "units": "MW",
-      "source": "ptdata:ECHPWR",
-      "description": "Total electron cyclotron heating power (see note in docs/PREPROCESSING.md on this channel's scaling).",
-      "min": -19.31181996542309,
-      "max": 40.286455582885246,
-      "mean": 2.6981112957000732,
-      "std": 6.685519218444824,
-      "pct": {
-        "0.1": -1.0663586061709935,
-        "1": -0.09982622583332723,
-        "5": -0.020836448436920674,
-        "25": -3.2566890961760464e-08,
-        "50": -3.2566890961760464e-08,
-        "75": 1.1717011943616973,
-        "95": 21.558252060431304,
-        "99": 30.476182922859127,
-        "99.9": 37.09168917133024
-      }
-    },
-    "f1a": {
-      "units": "A",
-      "source": "ptdata:F1A",
-      "description": "Shaping F-coil F1A current (bank A).",
-      "min": -5776.925892871883,
-      "max": 5794.3504737288395,
-      "mean": -1382.3704833984375,
-      "std": 1349.629638671875,
-      "pct": {
-        "0.1": -4852.691808601986,
-        "1": -4131.456225748339,
-        "5": -3401.8604035239678,
-        "25": -2236.4754469921672,
-        "50": -1501.5458201268116,
-        "75": -660.4245966463927,
-        "95": 1294.4315819071094,
-        "99": 3103.250955923345,
-        "99.9": 4467.289606367005
-      }
-    },
-    "f2a": {
-      "units": "A",
-      "source": "ptdata:F2A",
-      "description": "Shaping F-coil F2A current (bank A).",
-      "min": -5716.347659616551,
-      "max": 5702.840977614059,
-      "mean": -1229.876708984375,
-      "std": 1248.3497314453125,
-      "pct": {
-        "0.1": -4093.397230708888,
-        "1": -3297.8668360449756,
-        "5": -2712.522533155646,
-        "25": -2004.455454331444,
-        "50": -1443.842241803098,
-        "75": -854.5004209979342,
-        "95": 1825.579117167513,
-        "99": 3097.0902901803724,
-        "99.9": 3899.548655232026
-      }
-    },
-    "f3a": {
-      "units": "A",
-      "source": "ptdata:F3A",
-      "description": "Shaping F-coil F3A current (bank A).",
-      "min": -5498.272347966228,
-      "max": 5321.719922394657,
-      "mean": -592.7352294921875,
-      "std": 1185.706298828125,
-      "pct": {
-        "0.1": -4140.690909683277,
-        "1": -3539.2136012211317,
-        "5": -2813.2888996278725,
-        "25": -1377.7435033975407,
-        "50": -152.16189816331342,
-        "75": 2.4453898354848604,
-        "95": 1203.107532773337,
-        "99": 2898.3184344684487,
-        "99.9": 3780.0556837479485
-      }
-    },
-    "f4a": {
-      "units": "A",
-      "source": "ptdata:F4A",
-      "description": "Shaping F-coil F4A current (bank A).",
-      "min": -5876.373800845117,
-      "max": 5855.700219305917,
-      "mean": 1098.1622314453125,
-      "std": 1368.95458984375,
-      "pct": {
-        "0.1": -4331.218505807293,
-        "1": -3344.4526378786877,
-        "5": -1858.4157962413597,
-        "25": 395.84891116184133,
-        "50": 1143.436262581068,
-        "75": 1990.2677717095535,
-        "95": 3141.5448401142426,
-        "99": 3756.430079500399,
-        "99.9": 4525.754910416766
-      }
-    },
-    "f5a": {
-      "units": "A",
-      "source": "ptdata:F5A",
-      "description": "Shaping F-coil F5A current (bank A).",
-      "min": -5178.8539079385355,
-      "max": 5353.141466672798,
-      "mean": 1173.57958984375,
-      "std": 1352.103759765625,
-      "pct": {
-        "0.1": -4592.7059148331355,
-        "1": -3597.7201189044818,
-        "5": -1551.4942446467403,
-        "25": 543.836095032849,
-        "50": 1273.969119983141,
-        "75": 2051.0443148459794,
-        "95": 3019.669622905384,
-        "99": 3875.454685744494,
-        "99.9": 4738.506855960392
-      }
-    },
-    "f6a": {
-      "units": "A",
-      "source": "ptdata:F6A",
-      "description": "Shaping F-coil F6A current (bank A).",
-      "min": -7929.903731492232,
-      "max": 5741.056818467809,
-      "mean": -2493.411865234375,
-      "std": 1867.8076171875,
-      "pct": {
-        "0.1": -6125.90268588119,
-        "1": -4963.398523516425,
-        "5": -4319.477588996284,
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s5/fuse29_seq.onnx

@@ -1,3 +0,0 @@
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