Seed each epoch's RNG from (seed, epoch) (gitea #83)
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The per-epoch training fan-out only makes sense if epoch k is the same epoch either way, and the shuffle fix alone wasn't enough: run_train_job calls seed_everything(train.seed) at process start, so a fresh job restarted the torch/numpy stream at epoch 1's state and drew different flow/WGAN noise than the corresponding epoch of a single long run. giant.config.epoch_seed derives a per-epoch seed, and the training loop reseeds from it at the top of every epoch. Verified on a 3-epoch toy run: the chained workflow's concatenated metrics.csv is now byte-identical to a single `giant train --epochs 3` with the same seed (it matched only on epoch 1 before). Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
@@ -103,7 +103,7 @@ Secondary energies are a **stick-breaking partition of the `e_sec` budget** from
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**Input is one or more `giant rollout` YAML sidecars** (`run.py:load_rollout_yamls`): each YAML's `output`/`dataset` keys name its rollout parquet and seed file (= the reference truth); every supplied YAML must resolve to the same `dataset`, checked up front with a clear error otherwise (the premise is "N candidates vs one ground truth"). Each rollout's series name comes from a repeated `--label` CLI flag, else the YAML stem (N>1), else `"rollout"` (a single YAML). `prep` creates a **run directory** (`<cwd>/analysis_runs/analysis_<id>/` by default, `--run-dir` to override) holding `shared.json`, `run_meta.json` (`RunMeta.rollouts: list[{name,path,plot_meta}]`, insertion order = CLI order = every plot's series order), `reduced_partial/`, `reduced/`, `plots/`. **Compute/merge/render split:** `giant analyze prep a.yaml [b.yaml ...] --chunks N` records `N` in `run_meta.json`, and the workflow's `AnalysisComputeTask` runs one HTCondor job per (plot, chunk) pair (`compute-one --id --chunk --run-dir`, polars/numpy only — no LaTeX on workers), each streaming over an `event_id`-disjoint slice (`event_id % N == chunk`) of the reference **and every rollout** and writing a small `reduced_partial/<id>__<chunk>.json`; every `PlotSpec` splits into a `compute_partial`/`finalize` pair so chunks can be summed/concatenated back per rollout (`chunkable=False` specs — the checkpoint-bound diagnostics, already bounded/subsampled — always run as a single chunk). The local `giant analyze render <run_dir>` first joins every plot's chunk partials into `reduced/<id>.json` (`merge_all`, a no-op join when `N=1`; `merge-one` does a single plot for debugging), then turns those into the styled PDF/gallery tree. `giant analyze metrics <train_run_dir>` is a separate, unrelated entry point: training-progress plots straight from a run's `metrics.csv`.
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**Workflow orchestration** (`giant/workflow/`, `giant workflow run` CLI): b2luigi is the **only sanctioned way to run a multi-step pipeline**; `giant`/`dwarf` are single-step primitives the tasks invoke. One workflow TOML (`configs/workflow_example.toml`) parameterises a whole experiment — `[workflow]`/`[condor]`/`[dataset]`/`[geometry]` plus repeated `[[train]]`/`[[rollout]]`/`[[analysis]]` tables, each cross-referenced by name — and `spec.py` parses it into frozen dataclasses, rejecting unknown keys and dangling references. Every task's output directory is `<result_dir>/<kind>/name=<name>/spec_hash=<hash>/…`, where the 8-hex `spec_hash` covers that task's resolved sub-spec **and its transitive parents**, so an edited spec re-runs exactly the affected subtree instead of silently reusing stale outputs. The DAG (`tasks.py`): `DatasetTask` (external, fails fast if `/ceph` isn't mounted) → `WarmCacheTask` / `GeometryOracleTask` → `TrainEpochTask(name, milestone)` → `TrainTask` → `RolloutTask` → `AnalysisPrepTask` → `AnalysisComputeTask(name, plot_id, chunk)` → `AnalysisRenderTask` → `WorkflowTask`. Training is fanned out into **one short GPU job per epoch** (`epochs_per_job` trades queue waits back), chained by `--resume` on the previous job's `last.pt` — the loop already handles that unchanged — and `TrainTask` republishes `best.pt`/`last.pt`/a concatenated `metrics.csv` so nothing downstream sees the fan-out. `StreamingStepsDataset.set_epoch` (called per epoch by `training/loop.py`) seeds shuffling from `(seed, epoch, worker_id)` so epoch *k*'s batch order is the same either way. `AnalysisRenderTask` is always local (the only step importing plotstyle/LaTeX); `htcondor.py` holds the CPU/GPU submit settings, with the GPU requirement strings (`TARGET.ProvidesEtpCeph` + device/memory pins) ported from the `condor-gpu-train-rollout` branch. `run.py` is the script b2luigi re-executes on workers (`--spec` forwarded via `task_cmd_additional_args`, so a worker resolves the identical graph); `giant workflow run` is a thin exec of it. Needs `uv sync --extra cpu --extra workflow`.
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**Workflow orchestration** (`giant/workflow/`, `giant workflow run` CLI): b2luigi is the **only sanctioned way to run a multi-step pipeline**; `giant`/`dwarf` are single-step primitives the tasks invoke. One workflow TOML (`configs/workflow_example.toml`) parameterises a whole experiment — `[workflow]`/`[condor]`/`[dataset]`/`[geometry]` plus repeated `[[train]]`/`[[rollout]]`/`[[analysis]]` tables, each cross-referenced by name — and `spec.py` parses it into frozen dataclasses, rejecting unknown keys and dangling references. Every task's output directory is `<result_dir>/<kind>/name=<name>/spec_hash=<hash>/…`, where the 8-hex `spec_hash` covers that task's resolved sub-spec **and its transitive parents**, so an edited spec re-runs exactly the affected subtree instead of silently reusing stale outputs. The DAG (`tasks.py`): `DatasetTask` (external, fails fast if `/ceph` isn't mounted) → `WarmCacheTask` / `GeometryOracleTask` → `TrainEpochTask(name, milestone)` → `TrainTask` → `RolloutTask` → `AnalysisPrepTask` → `AnalysisComputeTask(name, plot_id, chunk)` → `AnalysisRenderTask` → `WorkflowTask`. Training is fanned out into **one short GPU job per epoch** (`epochs_per_job` trades queue waits back), chained by `--resume` on the previous job's `last.pt` — the loop already handles that unchanged — and `TrainTask` republishes `best.pt`/`last.pt`/a concatenated `metrics.csv` so nothing downstream sees the fan-out. `StreamingStepsDataset.set_epoch` and `config.epoch_seed` (both applied per epoch by `training/loop.py`) derive the batch order and the global RNG state from `(seed, epoch)`, so epoch *k* is bit-identical either way — verified by diffing a chained run's `metrics.csv` against a single 3-epoch `giant train`. `AnalysisRenderTask` is always local (the only step importing plotstyle/LaTeX); `htcondor.py` holds the CPU/GPU submit settings, with the GPU requirement strings (`TARGET.ProvidesEtpCeph` + device/memory pins) ported from the `condor-gpu-train-rollout` branch. `run.py` is the script b2luigi re-executes on workers (`--spec` forwarded via `task_cmd_additional_args`, so a worker resolves the identical graph); `giant workflow run` is a thin exec of it. Needs `uv sync --extra cpu --extra workflow`.
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**Shower rollout** (`giant/rollout.py`, `giant rollout` CLI): autoregressively steps the two-stage model into a full shower, advancing tracks breadth-first (every sweep steps all active tracks once, in `batch_size` chunks, so many tracks share each forward pass). Each primary post-step becomes the next pre-step, secondaries are pushed as new tracks, and per-step `material`/`layer_id` come from a `GeometryOracle` (`giant/geometry.py`, built via `dwarf build-geometry-oracle`) that learns position → (material, layer_id) from data and flags detector escape by nearest-neighbour distance. Tracks terminate on one of the `TERM_*` reasons in `constants.py` (energy cutoff, max steps, escape, natural end, unknown pdg, max tracks); energy is deposited locally on every stop except escape (leakage), so showers conserve energy by construction. `giant/checkpoint_io.py` is the shared checkpoint → ready-to-run-models path used by both `predict` and `rollout`.
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@@ -1769,6 +1769,19 @@ def resolve_default_out_dir(cfg: dict, base: Path = Path("checkpoints")) -> Path
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return out_dir
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def epoch_seed(seed: int, epoch: int) -> int:
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"""Per-epoch derivative of the run seed.
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Reseeding the global RNGs from this at the top of every epoch makes epoch
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*k* draw the same noise whether it runs inside one long `giant train` or
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as its own resumed job in a per-epoch workflow chain
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(`giant/workflow/tasks.py:TrainEpochTask`) — without it, a fresh process
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would restart the stream at epoch 1's state. Mirrors what
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`StreamingStepsDataset.set_epoch` does for the batch order.
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"""
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return (int(seed) * 1_000_003 + int(epoch)) % (2**32)
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def seed_everything(seed: int) -> None:
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random.seed(seed)
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np.random.seed(seed)
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@@ -18,6 +18,7 @@ import torch
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from torch.utils.data import DataLoader
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from tqdm import tqdm
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from giant import config
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from giant.data.loader import TopNMap
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from giant.data.setup_cache import topnmap_to_json
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from giant.training.checkpoint import build_checkpoint, init_stages_from_checkpoints, load_checkpoint
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@@ -184,6 +185,10 @@ def train(
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if device.type == "cuda":
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torch.cuda.reset_peak_memory_stats(device)
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collector.start_epoch(epoch)
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# Epoch-aware RNG: same noise (and, below, same batch order) for
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# epoch k whether the run is one process or a chain of per-epoch
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# jobs. See giant.config.epoch_seed.
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config.seed_everything(config.epoch_seed(t["seed"], epoch))
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# Epoch-aware shuffle stream (see StreamingStepsDataset.set_epoch):
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# keeps epoch k's batch order identical whether it runs here or as
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# its own resumed per-epoch job in a b2luigi workflow.
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run-20260826_120646-single/logs/debug-internal.log
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run-20260826_120646-single/logs/debug.log
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run-20260826_120646-single
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@@ -0,0 +1,354 @@
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_wandb:
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value:
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cli_version: 0.28.1
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e:
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ai2qpe9rd2fell1s7wnq1p6vbvhszcpx:
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args:
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- --spec
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- /tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/smoke.toml
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- --workers
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- "1"
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- --mode
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- run
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codePath: giant/workflow/run.py
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codePathLocal: giant/workflow/run.py
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cpu_count: 8
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disk:
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total: "1153673723904"
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used: "227050913792"
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email: lars.bogner@outlook.de
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executable: /home/lars/Programming/giant/.venv/bin/python3
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git:
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commit: 44edb474b26e0b618419f8f6e4503b0db9926f5c
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remote: gitea@git.larsbogner.de:lars/giant.git
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host: fedora-thinkpad
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memory:
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total: "15931523072"
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os: Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43
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program: /home/lars/Programming/giant/giant/workflow/run.py
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python: CPython 3.12.13
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root: /home/lars/Programming/giant
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startedAt: "2026-08-26T10:00:40.409295Z"
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writerId: ai2qpe9rd2fell1s7wnq1p6vbvhszcpx
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m: []
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python_version: 3.12.13
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t:
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"1":
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"2":
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"12": 0.28.1
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"13": linux-x86_64
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conditioning:
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material:
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model_config:
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ddpm:
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dropout: 0
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flow:
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time_dim: 64
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freeze: false
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generator: flow
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heads:
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n_sec:
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depth: 2
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hidden_ratio: 0.5
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hidden_dim: 16
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init_from: ""
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lambda: 1
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n_res_blocks: 1
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router:
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emb_dim: 8
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enabled: false
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gumbel: false
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gumbel_tau_end: 0.1
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gumbel_tau_start: 1
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lambda_balance: 0
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learn_centers: true
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learn_temperature: false
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n_experts: 4
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temperature: 0.5
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type: energy
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width_max_ratio: 10
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width_min_ratio: 0.1
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trunk:
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block_conditioning: add
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type: resmlp
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wgan:
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stage2_model:
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autoregressive:
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attn_n_layers: 2
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history: markov
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order: energy_desc
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teacher_forcing: always
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tf_p_end: 1
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tf_p_start: 1
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context_dim: 64
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ctx_p_end: 0
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ctx_p_start: 1
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ddpm:
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n_steps: 1000
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time_dim: 64
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decoder: autoregressive
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dropout: 0
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flow:
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time_dim: 64
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freeze: false
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generator: wgan
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heads:
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n_sec:
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depth: 2
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hidden_ratio: 0.5
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type:
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k_max: 15
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lambda: 1
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n_sec:
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target: onehot
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router:
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gumbel_tau_end: 0.1
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gumbel_tau_start: 1
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hidden_dim: 64
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lambda_balance: 0
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lambda_entropy: 0
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learn_centers: true
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learn_temperature: false
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learn_width: false
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n_experts: 4
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temperature: 0.5
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tie_to_stage1: false
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type: energy
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width_max_ratio: 10
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trunk:
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type: resmlp
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wgan:
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critic_lr: 0
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gp_weight: 10
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gumbel_tau_end: 0.1
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gumbel_tau_start: 1
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value:
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ddpm:
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flow:
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freeze: false
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generator: flow
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heads:
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history: markov
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|
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learn_temperature: false
|
||||
learn_width: false
|
||||
n_experts: 4
|
||||
temperature: 0.5
|
||||
tie_to_stage1: false
|
||||
type: energy
|
||||
width_max_ratio: 10
|
||||
width_min_ratio: 0.1
|
||||
stage1_context: truth
|
||||
trunk:
|
||||
block_conditioning: add
|
||||
type: resmlp
|
||||
wgan:
|
||||
critic_hidden_dim: 0
|
||||
critic_lr: 0
|
||||
critic_n_res_blocks: 0
|
||||
gp_weight: 10
|
||||
gumbel_tau_end: 0.1
|
||||
gumbel_tau_start: 1
|
||||
n_critic: 5
|
||||
noise_dim: 64
|
||||
train:
|
||||
value:
|
||||
batch_size: 32
|
||||
ema_decay: 0.9999
|
||||
epochs: 1
|
||||
lr: 0.0003
|
||||
max_val_batches: 200
|
||||
num_workers: 4
|
||||
precision: fp32
|
||||
seed: 0
|
||||
val_fraction: 0.1
|
||||
validate_every: 0
|
||||
validate_steps: 10
|
||||
wandb: true
|
||||
wandb_log_every: 50
|
||||
wandb_project: giant
|
||||
wandb_run_name: ""
|
||||
warmup_epochs: 5
|
||||
weight_decay: 0.01
|
||||
@@ -0,0 +1,26 @@
|
||||
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.0966 1.1637 1.1516 9.5569
|
||||
edep_logit 0.1038 0.0212 0.9154 0.7979 11.6862
|
||||
sec_logit -0.0401 0.2425 0.9973 0.8925 19.8511
|
||||
post_dx -0.1144 -0.2646 0.8849 1.4299 11.8162
|
||||
post_dy 0.1969 0.1144 0.9479 0.9458 11.6429
|
||||
post_dz 0.1798 0.3103 1.1660 1.4825 11.6862
|
||||
travel_dx 0.0000 0.4778 0.0000 0.7748 21.1933
|
||||
travel_dy 0.0000 0.1821 0.0000 1.2119 21.1933
|
||||
travel_dz 0.0000 0.4294 0.0000 1.1217 21.1933
|
||||
|
||||
n_sec accuracy=0.3750 mean|Δ|=0.9375
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 1.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
|
||||
sec type class (onehot) n=15/0 KL(real||gen)=nan
|
||||
epoch 1/1 stage1[loss=1.874] stage2[d=6.450 g=-0.025] val 17.3724 0.2s [best]
|
||||
@@ -0,0 +1,122 @@
|
||||
typer==0.26.7
|
||||
python-dateutil==2.9.0.post0
|
||||
six==1.17.0
|
||||
markdown-it-py==4.2.0
|
||||
mdurl==0.1.2
|
||||
annotated-doc==0.0.4
|
||||
shellingham==1.5.4
|
||||
rich==15.0.0
|
||||
Pygments==2.20.0
|
||||
numpy==2.4.6
|
||||
pyarrow==24.0.0
|
||||
pandas==3.0.3
|
||||
tqdm==4.68.3
|
||||
PyYAML==6.0.3
|
||||
packaging==26.2
|
||||
typing_extensions==4.15.0
|
||||
MarkupSafe==3.0.3
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filelock==3.29.4
|
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Jinja2==3.1.6
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fsspec==2026.6.0
|
||||
mpmath==1.3.0
|
||||
networkx==3.6.1
|
||||
sympy==1.14.0
|
||||
torch==2.3.1+cpu
|
||||
iniconfig==2.3.0
|
||||
pluggy==1.6.0
|
||||
ty==0.0.50
|
||||
ruff==0.15.17
|
||||
pytest==9.1.0
|
||||
polars-runtime-32==1.41.2
|
||||
polars==1.41.2
|
||||
cramjam==2.11.0
|
||||
xxhash==3.7.0
|
||||
awkward_cpp==53
|
||||
uproot==5.7.4
|
||||
awkward==2.9.1
|
||||
ipython_pygments_lexers==1.1.1
|
||||
comm==0.2.3
|
||||
decorator==5.3.1
|
||||
nest-asyncio2==1.7.2
|
||||
stack-data==0.6.3
|
||||
kiwisolver==1.5.0
|
||||
pyparsing==3.3.2
|
||||
platformdirs==4.10.0
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||||
matplotlib-inline==0.2.2
|
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ipykernel==7.3.0
|
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jupyter_core==5.9.1
|
||||
ptyprocess==0.7.0
|
||||
pexpect==4.9.0
|
||||
executing==2.2.1
|
||||
psutil==7.2.2
|
||||
asttokens==3.0.1
|
||||
parso==0.8.7
|
||||
wcwidth==0.8.1
|
||||
pure_eval==0.2.3
|
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cycler==0.12.1
|
||||
jupyter_client==8.9.1
|
||||
traitlets==5.15.1
|
||||
contourpy==1.3.3
|
||||
pyzmq==27.1.0
|
||||
tornado==6.5.7
|
||||
pillow==12.2.0
|
||||
prompt_toolkit==3.0.52
|
||||
ipython==9.14.1
|
||||
debugpy==1.8.21
|
||||
fonttools==4.63.0
|
||||
matplotlib==3.11.0
|
||||
jedi==0.20.0
|
||||
threadpoolctl==3.6.0
|
||||
joblib==1.5.3
|
||||
narwhals==2.23.0
|
||||
scikit-learn==1.9.0
|
||||
scipy==1.18.0
|
||||
hepunits==2.4.6
|
||||
attrs==26.1.0
|
||||
particle==1.0.0
|
||||
plotstyle==1.0.0
|
||||
certifi==2026.7.22
|
||||
typing-inspection==0.4.2
|
||||
annotated-types==0.8.0
|
||||
idna==3.18
|
||||
requests==2.34.2
|
||||
click==8.4.2
|
||||
pydantic_core==2.46.4
|
||||
charset-normalizer==3.4.9
|
||||
urllib3==2.7.0
|
||||
protobuf==7.35.1
|
||||
pydantic==2.13.4
|
||||
sentry-sdk==2.66.1
|
||||
wandb==0.28.1
|
||||
pytest-cov==7.1.0
|
||||
coverage==7.15.4
|
||||
tomlkit==0.15.1
|
||||
h11==0.16.0
|
||||
bracex==3.0.1
|
||||
truststore==0.10.4
|
||||
python-dotenv==1.2.3
|
||||
wcmatch==11.0.1
|
||||
questionary==2.1.1
|
||||
git-cliff==2.13.1
|
||||
pydantic-settings==2.15.0
|
||||
rich-click==1.9.8
|
||||
httpx2==2.11.0
|
||||
httpcore2==2.11.0
|
||||
bump-my-version==1.5.1
|
||||
anyio==4.14.2
|
||||
giant==0.3.10
|
||||
parse==1.22.1
|
||||
python-daemon==2.1.2
|
||||
colorama==0.4.6
|
||||
tenacity==8.5.0
|
||||
lockfile==0.12.2
|
||||
webdavclient3==3.14.7
|
||||
cachetools==7.1.7
|
||||
smmap==5.0.3
|
||||
gitdb==4.0.12
|
||||
GitPython==3.1.60
|
||||
b2luigi==1.2.9
|
||||
lxml==6.1.2
|
||||
docutils==0.23
|
||||
luigi==3.7.3
|
||||
setuptools==84.0.0
|
||||
@@ -0,0 +1,36 @@
|
||||
{
|
||||
"os": "Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43",
|
||||
"python": "CPython 3.12.13",
|
||||
"startedAt": "2026-08-26T10:00:40.409295Z",
|
||||
"args": [
|
||||
"--spec",
|
||||
"/tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/smoke.toml",
|
||||
"--workers",
|
||||
"1",
|
||||
"--mode",
|
||||
"run"
|
||||
],
|
||||
"program": "/home/lars/Programming/giant/giant/workflow/run.py",
|
||||
"codePath": "giant/workflow/run.py",
|
||||
"codePathLocal": "giant/workflow/run.py",
|
||||
"git": {
|
||||
"remote": "gitea@git.larsbogner.de:lars/giant.git",
|
||||
"commit": "44edb474b26e0b618419f8f6e4503b0db9926f5c"
|
||||
},
|
||||
"email": "lars.bogner@outlook.de",
|
||||
"root": "/home/lars/Programming/giant",
|
||||
"host": "fedora-thinkpad",
|
||||
"executable": "/home/lars/Programming/giant/.venv/bin/python3",
|
||||
"cpu_count": 8,
|
||||
"cpu_count_logical": 16,
|
||||
"disk": {
|
||||
"/": {
|
||||
"total": "1153673723904",
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"used": "227050913792"
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||||
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||||
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|
||||
"memory": {
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||||
"writerId": "ai2qpe9rd2fell1s7wnq1p6vbvhszcpx"
|
||||
}
|
||||
@@ -0,0 +1 @@
|
||||
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|
||||
@@ -0,0 +1 @@
|
||||
/home/lars/.cache/wandb/logs/core-debug-20260826_120040.log
|
||||
@@ -0,0 +1,17 @@
|
||||
{"time":"2026-08-26T12:00:40.413177686+02:00","level":"INFO","msg":"wandb-core"}
|
||||
{"time":"2026-08-26T12:00:40.413419462+02:00","level":"INFO","msg":"stream: starting","core version":"0.28.1"}
|
||||
{"time":"2026-08-26T12:00:40.924140487+02:00","level":"INFO","msg":"stream: created new stream","id":"epochs=1"}
|
||||
{"time":"2026-08-26T12:00:40.924221069+02:00","level":"INFO","msg":"handler: started"}
|
||||
{"time":"2026-08-26T12:00:40.924403763+02:00","level":"INFO","msg":"stream: started"}
|
||||
{"time":"2026-08-26T12:00:40.924443708+02:00","level":"INFO","msg":"sender: started"}
|
||||
{"time":"2026-08-26T12:00:40.924438839+02:00","level":"INFO","msg":"writer: started","stream_id":"epochs=1"}
|
||||
{"time":"2026-08-26T12:00:41.794869647+02:00","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":0,"console_lines":1}
|
||||
{"time":"2026-08-26T12:00:42.021317486+02:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
||||
{"time":"2026-08-26T12:00:43.035506045+02:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
||||
{"time":"2026-08-26T12:00:43.035881572+02:00","level":"INFO","msg":"filestream: sending request","total_files":3,"history_offset":0,"history_lines":1,"console_offset":0,"console_lines":26,"uploaded_len":5,"complete":true,"exit_code":0}
|
||||
{"time":"2026-08-26T12:00:43.280782505+02:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
||||
{"time":"2026-08-26T12:00:43.282337554+02:00","level":"INFO","msg":"handler: operation stats","stats":{}}
|
||||
{"time":"2026-08-26T12:00:43.289405265+02:00","level":"INFO","msg":"stream: finishing up"}
|
||||
{"time":"2026-08-26T12:00:43.289425794+02:00","level":"INFO","msg":"handler: closed"}
|
||||
{"time":"2026-08-26T12:00:43.289526804+02:00","level":"INFO","msg":"sender: closed"}
|
||||
{"time":"2026-08-26T12:00:43.289536753+02:00","level":"INFO","msg":"stream: all finished"}
|
||||
File diff suppressed because one or more lines are too long
Binary file not shown.
@@ -0,0 +1,354 @@
|
||||
_wandb:
|
||||
value:
|
||||
cli_version: 0.28.1
|
||||
e:
|
||||
b10ukcwzz1xtizc52b6jjv6r4l7o6msz:
|
||||
args:
|
||||
- --spec
|
||||
- /tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/smoke.toml
|
||||
- --workers
|
||||
- "1"
|
||||
- --mode
|
||||
- run
|
||||
codePath: giant/workflow/run.py
|
||||
codePathLocal: giant/workflow/run.py
|
||||
cpu_count: 8
|
||||
cpu_count_logical: 16
|
||||
disk:
|
||||
/:
|
||||
total: "1153673723904"
|
||||
used: "227050913792"
|
||||
email: lars.bogner@outlook.de
|
||||
executable: /home/lars/Programming/giant/.venv/bin/python3
|
||||
git:
|
||||
commit: 44edb474b26e0b618419f8f6e4503b0db9926f5c
|
||||
remote: gitea@git.larsbogner.de:lars/giant.git
|
||||
host: fedora-thinkpad
|
||||
memory:
|
||||
total: "15931523072"
|
||||
os: Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43
|
||||
program: /home/lars/Programming/giant/giant/workflow/run.py
|
||||
python: CPython 3.12.13
|
||||
root: /home/lars/Programming/giant
|
||||
startedAt: "2026-08-26T10:00:43.494441Z"
|
||||
writerId: b10ukcwzz1xtizc52b6jjv6r4l7o6msz
|
||||
m: []
|
||||
python_version: 3.12.13
|
||||
t:
|
||||
"1":
|
||||
- 1
|
||||
- 5
|
||||
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|
||||
"2":
|
||||
- 1
|
||||
- 5
|
||||
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|
||||
"3":
|
||||
- 2
|
||||
- 13
|
||||
- 14
|
||||
- 16
|
||||
- 61
|
||||
"4": 3.12.13
|
||||
"5": 0.28.1
|
||||
"12": 0.28.1
|
||||
"13": linux-x86_64
|
||||
conditioning:
|
||||
value:
|
||||
material:
|
||||
emb_dim: 16
|
||||
n_layers: 1
|
||||
type: physical
|
||||
out_dim: 128
|
||||
particle:
|
||||
emb_dim: 16
|
||||
n_layers: 1
|
||||
type: physical
|
||||
share_stages: false
|
||||
model_config:
|
||||
value:
|
||||
conditioning:
|
||||
material:
|
||||
emb_dim: 16
|
||||
n_layers: 1
|
||||
type: physical
|
||||
out_dim: 128
|
||||
particle:
|
||||
emb_dim: 16
|
||||
n_layers: 1
|
||||
type: physical
|
||||
share_stages: false
|
||||
mat_vocab: 2
|
||||
pdg_vocab: 2
|
||||
stage1_model:
|
||||
active: true
|
||||
ddpm:
|
||||
n_steps: 1000
|
||||
time_dim: 64
|
||||
dropout: 0
|
||||
flow:
|
||||
time_dim: 64
|
||||
freeze: false
|
||||
generator: flow
|
||||
heads:
|
||||
n_sec:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
hidden_dim: 16
|
||||
init_from: ""
|
||||
lambda: 1
|
||||
n_res_blocks: 1
|
||||
router:
|
||||
emb_dim: 8
|
||||
enabled: false
|
||||
gumbel: false
|
||||
gumbel_tau_end: 0.1
|
||||
gumbel_tau_start: 1
|
||||
hidden_dim: 64
|
||||
lambda_balance: 0
|
||||
lambda_entropy: 0
|
||||
lambda_proc: 0
|
||||
learn_centers: true
|
||||
learn_temperature: false
|
||||
learn_width: false
|
||||
n_experts: 4
|
||||
temperature: 0.5
|
||||
type: energy
|
||||
width_max_ratio: 10
|
||||
width_min_ratio: 0.1
|
||||
trunk:
|
||||
block_conditioning: add
|
||||
type: resmlp
|
||||
wgan:
|
||||
critic_hidden_dim: 0
|
||||
critic_lr: 0
|
||||
critic_n_res_blocks: 0
|
||||
gp_weight: 10
|
||||
n_critic: 5
|
||||
noise_dim: 64
|
||||
stage2_model:
|
||||
active: true
|
||||
autoregressive:
|
||||
attn_n_heads: 4
|
||||
attn_n_layers: 2
|
||||
history: markov
|
||||
order: energy_desc
|
||||
teacher_forcing: always
|
||||
tf_p_end: 1
|
||||
tf_p_start: 1
|
||||
context_dim: 64
|
||||
ctx_p_end: 0
|
||||
ctx_p_start: 1
|
||||
ddpm:
|
||||
n_steps: 1000
|
||||
time_dim: 64
|
||||
decoder: autoregressive
|
||||
dropout: 0
|
||||
flow:
|
||||
time_dim: 64
|
||||
freeze: false
|
||||
generator: wgan
|
||||
heads:
|
||||
n_sec:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
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lambda: 1
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router:
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stage1_context: truth
|
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trunk:
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wgan:
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n_critic: 5
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param_counts:
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value:
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stage1: 25865
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stage2: 96480
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total: 122345
|
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stage1_model:
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value:
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ddpm:
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flow:
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temperature: 0.5
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type: energy
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width_max_ratio: 10
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width_min_ratio: 0.1
|
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trunk:
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block_conditioning: add
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type: resmlp
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wgan:
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critic_hidden_dim: 0
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value:
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active: true
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autoregressive:
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attn_n_layers: 2
|
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history: markov
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order: energy_desc
|
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teacher_forcing: always
|
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tf_p_end: 1
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tf_p_start: 1
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ctx_p_end: 0
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ddpm:
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|
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dropout: 0
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flow:
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|
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generator: wgan
|
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heads:
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n_sec:
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hidden_ratio: 0.5
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type:
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router:
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|
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stage1_context: truth
|
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trunk:
|
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block_conditioning: add
|
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wgan:
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train:
|
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value:
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batch_size: 32
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ema_decay: 0.9999
|
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epochs: 2
|
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lr: 0.0003
|
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max_val_batches: 200
|
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num_workers: 4
|
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precision: fp32
|
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seed: 0
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val_fraction: 0.1
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validate_every: 0
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validate_steps: 10
|
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wandb: true
|
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wandb_log_every: 50
|
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wandb_project: giant
|
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wandb_run_name: ""
|
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warmup_epochs: 5
|
||||
weight_decay: 0.01
|
||||
@@ -0,0 +1,26 @@
|
||||
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.0966 1.1637 1.1516 9.5569
|
||||
edep_logit 0.1038 0.0212 0.9154 0.7979 11.6862
|
||||
sec_logit -0.0401 0.2425 0.9973 0.8925 19.8511
|
||||
post_dx -0.1144 -0.2645 0.8849 1.4299 11.8162
|
||||
post_dy 0.1969 0.1144 0.9479 0.9458 11.6429
|
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post_dz 0.1798 0.3103 1.1660 1.4825 11.6862
|
||||
travel_dx 0.0000 0.4778 0.0000 0.7748 21.1933
|
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travel_dy 0.0000 0.1821 0.0000 1.2119 21.1933
|
||||
travel_dz 0.0000 0.4294 0.0000 1.1217 21.1933
|
||||
|
||||
n_sec accuracy=0.3750 mean|Δ|=0.9375
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 1.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
|
||||
sec type class (onehot) n=15/0 KL(real||gen)=nan
|
||||
epoch 2/2 stage1[loss=1.873] stage2[d=5.457 g=-0.027] val 17.3688 0.1s [best]
|
||||
@@ -0,0 +1,122 @@
|
||||
typer==0.26.7
|
||||
python-dateutil==2.9.0.post0
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six==1.17.0
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markdown-it-py==4.2.0
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torch==2.3.1+cpu
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ty==0.0.50
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ruff==0.15.17
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polars-runtime-32==1.41.2
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comm==0.2.3
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hepunits==2.4.6
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particle==1.0.0
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idna==3.18
|
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requests==2.34.2
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charset-normalizer==3.4.9
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protobuf==7.35.1
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wandb==0.28.1
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pytest-cov==7.1.0
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coverage==7.15.4
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tomlkit==0.15.1
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h11==0.16.0
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bracex==3.0.1
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truststore==0.10.4
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python-dotenv==1.2.3
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git-cliff==2.13.1
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rich-click==1.9.8
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httpx2==2.11.0
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httpcore2==2.11.0
|
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bump-my-version==1.5.1
|
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anyio==4.14.2
|
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giant==0.3.10
|
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parse==1.22.1
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python-daemon==2.1.2
|
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colorama==0.4.6
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lockfile==0.12.2
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webdavclient3==3.14.7
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smmap==5.0.3
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GitPython==3.1.60
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b2luigi==1.2.9
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luigi==3.7.3
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setuptools==84.0.0
|
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@@ -0,0 +1,36 @@
|
||||
{
|
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"os": "Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43",
|
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|
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"startedAt": "2026-08-26T10:00:43.494441Z",
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"args": [
|
||||
"--spec",
|
||||
"/tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/smoke.toml",
|
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"--workers",
|
||||
"1",
|
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"--mode",
|
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"run"
|
||||
],
|
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|
||||
"codePath": "giant/workflow/run.py",
|
||||
"codePathLocal": "giant/workflow/run.py",
|
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|
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"remote": "gitea@git.larsbogner.de:lars/giant.git",
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|
||||
},
|
||||
"email": "lars.bogner@outlook.de",
|
||||
"root": "/home/lars/Programming/giant",
|
||||
"host": "fedora-thinkpad",
|
||||
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"disk": {
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||||
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|
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@@ -0,0 +1 @@
|
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|
||||
@@ -0,0 +1 @@
|
||||
/home/lars/.cache/wandb/logs/core-debug-20260826_120040.log
|
||||
@@ -0,0 +1,17 @@
|
||||
{"time":"2026-08-26T12:00:43.498428707+02:00","level":"INFO","msg":"wandb-core"}
|
||||
{"time":"2026-08-26T12:00:43.498545668+02:00","level":"INFO","msg":"stream: starting","core version":"0.28.1"}
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||||
{"time":"2026-08-26T12:00:43.906411597+02:00","level":"INFO","msg":"stream: created new stream","id":"epochs=2"}
|
||||
{"time":"2026-08-26T12:00:43.906528106+02:00","level":"INFO","msg":"handler: started"}
|
||||
{"time":"2026-08-26T12:00:43.906791572+02:00","level":"INFO","msg":"stream: started"}
|
||||
{"time":"2026-08-26T12:00:43.906804807+02:00","level":"INFO","msg":"writer: started","stream_id":"epochs=2"}
|
||||
{"time":"2026-08-26T12:00:43.906840384+02:00","level":"INFO","msg":"sender: started"}
|
||||
{"time":"2026-08-26T12:00:44.733622595+02:00","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":0,"console_lines":1}
|
||||
{"time":"2026-08-26T12:00:44.953360737+02:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
||||
{"time":"2026-08-26T12:00:45.739335081+02:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
||||
{"time":"2026-08-26T12:00:45.739618625+02:00","level":"INFO","msg":"filestream: sending request","total_files":3,"history_offset":0,"history_lines":1,"console_offset":0,"console_lines":26,"uploaded_len":5,"complete":true,"exit_code":0}
|
||||
{"time":"2026-08-26T12:00:45.968068153+02:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
||||
{"time":"2026-08-26T12:00:45.969013484+02:00","level":"INFO","msg":"handler: operation stats","stats":{}}
|
||||
{"time":"2026-08-26T12:00:45.971267309+02:00","level":"INFO","msg":"stream: finishing up"}
|
||||
{"time":"2026-08-26T12:00:45.971280083+02:00","level":"INFO","msg":"handler: closed"}
|
||||
{"time":"2026-08-26T12:00:45.971377536+02:00","level":"INFO","msg":"sender: closed"}
|
||||
{"time":"2026-08-26T12:00:45.97138502+02:00","level":"INFO","msg":"stream: all finished"}
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File diff suppressed because one or more lines are too long
Binary file not shown.
@@ -0,0 +1,354 @@
|
||||
_wandb:
|
||||
value:
|
||||
cli_version: 0.28.1
|
||||
e:
|
||||
ray91k854mr5355b4txkncd1gpi2fdza:
|
||||
args:
|
||||
- --spec
|
||||
- /tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/smoke.toml
|
||||
- --workers
|
||||
- "1"
|
||||
- --mode
|
||||
- run
|
||||
codePath: giant/workflow/run.py
|
||||
codePathLocal: giant/workflow/run.py
|
||||
cpu_count: 8
|
||||
cpu_count_logical: 16
|
||||
disk:
|
||||
/:
|
||||
total: "1153673723904"
|
||||
used: "227050913792"
|
||||
email: lars.bogner@outlook.de
|
||||
executable: /home/lars/Programming/giant/.venv/bin/python3
|
||||
git:
|
||||
commit: 44edb474b26e0b618419f8f6e4503b0db9926f5c
|
||||
remote: gitea@git.larsbogner.de:lars/giant.git
|
||||
host: fedora-thinkpad
|
||||
memory:
|
||||
total: "15931523072"
|
||||
os: Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43
|
||||
program: /home/lars/Programming/giant/giant/workflow/run.py
|
||||
python: CPython 3.12.13
|
||||
root: /home/lars/Programming/giant
|
||||
startedAt: "2026-08-26T10:00:46.173920Z"
|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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value:
|
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|
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|
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model_config:
|
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value:
|
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|
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emb_dim: 16
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type: physical
|
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share_stages: false
|
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mat_vocab: 2
|
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pdg_vocab: 2
|
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|
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|
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ddpm:
|
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|
||||
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|
||||
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|
||||
flow:
|
||||
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|
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|
||||
generator: flow
|
||||
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|
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n_sec:
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|
||||
hidden_ratio: 0.5
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|
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lambda: 1
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|
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|
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autoregressive:
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|
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value:
|
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stage1: 25865
|
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|
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total: 122345
|
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stage1_model:
|
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value:
|
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|
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ddpm:
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flow:
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value:
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|
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history: markov
|
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order: energy_desc
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teacher_forcing: always
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ctx_p_start: 1
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ddpm:
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flow:
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generator: wgan
|
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heads:
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n_sec:
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hidden_ratio: 0.5
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|
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k_max: 15
|
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lambda: 1
|
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n_res_blocks: 1
|
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n_sec:
|
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lambda: 0.1
|
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mode: head
|
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owner: stage2
|
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stop_sampling: greedy
|
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particle_type:
|
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class_weighting: none
|
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lambda: 1
|
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n_classes: 0
|
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other_policy: sample
|
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target: onehot
|
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router:
|
||||
emb_dim: 8
|
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enabled: false
|
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gumbel: false
|
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gumbel_tau_end: 0.1
|
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gumbel_tau_start: 1
|
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hidden_dim: 64
|
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lambda_balance: 0
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lambda_entropy: 0
|
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lambda_proc: 0
|
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learn_centers: true
|
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learn_temperature: false
|
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learn_width: false
|
||||
n_experts: 4
|
||||
temperature: 0.5
|
||||
tie_to_stage1: false
|
||||
type: energy
|
||||
width_max_ratio: 10
|
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width_min_ratio: 0.1
|
||||
stage1_context: truth
|
||||
trunk:
|
||||
block_conditioning: add
|
||||
type: resmlp
|
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wgan:
|
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critic_hidden_dim: 0
|
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critic_lr: 0
|
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critic_n_res_blocks: 0
|
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gp_weight: 10
|
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gumbel_tau_end: 0.1
|
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gumbel_tau_start: 1
|
||||
n_critic: 5
|
||||
noise_dim: 64
|
||||
train:
|
||||
value:
|
||||
batch_size: 32
|
||||
ema_decay: 0.9999
|
||||
epochs: 3
|
||||
lr: 0.0003
|
||||
max_val_batches: 200
|
||||
num_workers: 4
|
||||
precision: fp32
|
||||
seed: 0
|
||||
val_fraction: 0.1
|
||||
validate_every: 0
|
||||
validate_steps: 10
|
||||
wandb: true
|
||||
wandb_log_every: 50
|
||||
wandb_project: giant
|
||||
wandb_run_name: ""
|
||||
warmup_epochs: 5
|
||||
weight_decay: 0.01
|
||||
@@ -0,0 +1,26 @@
|
||||
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.0966 1.1637 1.1516 9.5569
|
||||
edep_logit 0.1038 0.0213 0.9154 0.7979 11.6862
|
||||
sec_logit -0.0401 0.2425 0.9973 0.8925 19.8511
|
||||
post_dx -0.1144 -0.2645 0.8849 1.4299 11.8162
|
||||
post_dy 0.1969 0.1144 0.9479 0.9458 11.6429
|
||||
post_dz 0.1798 0.3103 1.1660 1.4825 11.6862
|
||||
travel_dx 0.0000 0.4778 0.0000 0.7748 21.1933
|
||||
travel_dy 0.0000 0.1821 0.0000 1.2119 21.1933
|
||||
travel_dz 0.0000 0.4294 0.0000 1.1217 21.1933
|
||||
|
||||
n_sec accuracy=0.3750 mean|Δ|=0.9375
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 1.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
|
||||
sec type class (onehot) n=15/0 KL(real||gen)=nan
|
||||
epoch 3/3 stage1[loss=1.894] stage2[d=4.573 g=-0.024] val 17.3635 0.1s [best]
|
||||
@@ -0,0 +1,122 @@
|
||||
typer==0.26.7
|
||||
python-dateutil==2.9.0.post0
|
||||
six==1.17.0
|
||||
markdown-it-py==4.2.0
|
||||
mdurl==0.1.2
|
||||
annotated-doc==0.0.4
|
||||
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|
||||
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|
||||
Pygments==2.20.0
|
||||
numpy==2.4.6
|
||||
pyarrow==24.0.0
|
||||
pandas==3.0.3
|
||||
tqdm==4.68.3
|
||||
PyYAML==6.0.3
|
||||
packaging==26.2
|
||||
typing_extensions==4.15.0
|
||||
MarkupSafe==3.0.3
|
||||
filelock==3.29.4
|
||||
Jinja2==3.1.6
|
||||
fsspec==2026.6.0
|
||||
mpmath==1.3.0
|
||||
networkx==3.6.1
|
||||
sympy==1.14.0
|
||||
torch==2.3.1+cpu
|
||||
iniconfig==2.3.0
|
||||
pluggy==1.6.0
|
||||
ty==0.0.50
|
||||
ruff==0.15.17
|
||||
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|
||||
polars-runtime-32==1.41.2
|
||||
polars==1.41.2
|
||||
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|
||||
xxhash==3.7.0
|
||||
awkward_cpp==53
|
||||
uproot==5.7.4
|
||||
awkward==2.9.1
|
||||
ipython_pygments_lexers==1.1.1
|
||||
comm==0.2.3
|
||||
decorator==5.3.1
|
||||
nest-asyncio2==1.7.2
|
||||
stack-data==0.6.3
|
||||
kiwisolver==1.5.0
|
||||
pyparsing==3.3.2
|
||||
platformdirs==4.10.0
|
||||
matplotlib-inline==0.2.2
|
||||
ipykernel==7.3.0
|
||||
jupyter_core==5.9.1
|
||||
ptyprocess==0.7.0
|
||||
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|
||||
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|
||||
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|
||||
asttokens==3.0.1
|
||||
parso==0.8.7
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
pyzmq==27.1.0
|
||||
tornado==6.5.7
|
||||
pillow==12.2.0
|
||||
prompt_toolkit==3.0.52
|
||||
ipython==9.14.1
|
||||
debugpy==1.8.21
|
||||
fonttools==4.63.0
|
||||
matplotlib==3.11.0
|
||||
jedi==0.20.0
|
||||
threadpoolctl==3.6.0
|
||||
joblib==1.5.3
|
||||
narwhals==2.23.0
|
||||
scikit-learn==1.9.0
|
||||
scipy==1.18.0
|
||||
hepunits==2.4.6
|
||||
attrs==26.1.0
|
||||
particle==1.0.0
|
||||
plotstyle==1.0.0
|
||||
certifi==2026.7.22
|
||||
typing-inspection==0.4.2
|
||||
annotated-types==0.8.0
|
||||
idna==3.18
|
||||
requests==2.34.2
|
||||
click==8.4.2
|
||||
pydantic_core==2.46.4
|
||||
charset-normalizer==3.4.9
|
||||
urllib3==2.7.0
|
||||
protobuf==7.35.1
|
||||
pydantic==2.13.4
|
||||
sentry-sdk==2.66.1
|
||||
wandb==0.28.1
|
||||
pytest-cov==7.1.0
|
||||
coverage==7.15.4
|
||||
tomlkit==0.15.1
|
||||
h11==0.16.0
|
||||
bracex==3.0.1
|
||||
truststore==0.10.4
|
||||
python-dotenv==1.2.3
|
||||
wcmatch==11.0.1
|
||||
questionary==2.1.1
|
||||
git-cliff==2.13.1
|
||||
pydantic-settings==2.15.0
|
||||
rich-click==1.9.8
|
||||
httpx2==2.11.0
|
||||
httpcore2==2.11.0
|
||||
bump-my-version==1.5.1
|
||||
anyio==4.14.2
|
||||
giant==0.3.10
|
||||
parse==1.22.1
|
||||
python-daemon==2.1.2
|
||||
colorama==0.4.6
|
||||
tenacity==8.5.0
|
||||
lockfile==0.12.2
|
||||
webdavclient3==3.14.7
|
||||
cachetools==7.1.7
|
||||
smmap==5.0.3
|
||||
gitdb==4.0.12
|
||||
GitPython==3.1.60
|
||||
b2luigi==1.2.9
|
||||
lxml==6.1.2
|
||||
docutils==0.23
|
||||
luigi==3.7.3
|
||||
setuptools==84.0.0
|
||||
@@ -0,0 +1,36 @@
|
||||
{
|
||||
"os": "Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43",
|
||||
"python": "CPython 3.12.13",
|
||||
"startedAt": "2026-08-26T10:00:46.173920Z",
|
||||
"args": [
|
||||
"--spec",
|
||||
"/tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/smoke.toml",
|
||||
"--workers",
|
||||
"1",
|
||||
"--mode",
|
||||
"run"
|
||||
],
|
||||
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||||
/home/lars/.cache/wandb/logs/core-debug-20260826_120040.log
|
||||
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|
||||
{"time":"2026-08-26T12:00:46.1781983+02:00","level":"INFO","msg":"wandb-core"}
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||||
{"time":"2026-08-26T12:00:46.17838948+02:00","level":"INFO","msg":"stream: starting","core version":"0.28.1"}
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{"time":"2026-08-26T12:00:46.58607555+02:00","level":"INFO","msg":"stream: created new stream","id":"epochs=3"}
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{"time":"2026-08-26T12:00:46.58612858+02:00","level":"INFO","msg":"handler: started"}
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{"time":"2026-08-26T12:00:48.142274936+02:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-26T12:00:48.828103877+02:00","level":"INFO","msg":"filestream: sending request","total_files":3,"history_offset":0,"history_lines":1,"console_offset":0,"console_lines":26,"uploaded_len":5,"complete":true,"exit_code":0}
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{"time":"2026-08-26T12:00:49.137961108+02:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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{"time":"2026-08-26T12:00:49.138936255+02:00","level":"INFO","msg":"handler: operation stats","stats":{}}
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{"time":"2026-08-26T12:00:49.141553975+02:00","level":"INFO","msg":"stream: finishing up"}
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{"time":"2026-08-26T12:00:49.141568472+02:00","level":"INFO","msg":"handler: closed"}
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program: /home/lars/Programming/giant/giant/workflow/run.py
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python: CPython 3.12.13
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||||
root: /home/lars/Programming/giant
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trunk:
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type: resmlp
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gp_weight: 10
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gumbel_tau_start: 1
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n_critic: 5
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noise_dim: 64
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train:
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value:
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batch_size: 32
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ema_decay: 0.9999
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epochs: 1
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lr: 0.0003
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max_val_batches: 200
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num_workers: 4
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precision: fp32
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seed: 0
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val_fraction: 0.1
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warmup_epochs: 5
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weight_decay: 0.01
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@@ -0,0 +1,43 @@
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||||
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.1076 1.1637 1.0986 14.1188
|
||||
edep_logit 0.1038 0.2827 0.9154 0.7847 16.2047
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|
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travel_dx 0.0000 0.2915 0.0000 1.0738 2.7726
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travel_dy 0.0000 0.2844 0.0000 1.2037 21.1933
|
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travel_dz 0.0000 -0.0128 0.0000 1.1544 21.1933
|
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|
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n_sec accuracy=0.0000 mean|Δ|=13.0625
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 0.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
||||
3 0.0000 0.0000
|
||||
4 0.0000 0.0000
|
||||
5 0.0000 0.0000
|
||||
6 0.0000 0.0000
|
||||
7 0.0000 0.0000
|
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8 0.0000 0.0000
|
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9 0.0000 0.0000
|
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10 0.0000 0.0000
|
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11 0.0000 0.0000
|
||||
12 0.0000 0.0000
|
||||
13 0.0000 0.0000
|
||||
14 0.0000 1.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
0 0.6770 0.4252 0.3354 0.0736 14.0593
|
||||
1 1.0000 0.5047 0.0000 0.0767 21.1933
|
||||
|
||||
sec phys (normalised) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
--------------------------------------------------------------------
|
||||
log_mass 0.1510 0.1133 0.9292 0.3696 5.0602
|
||||
charge -0.1977 -0.0202 0.9295 0.3459 14.5943
|
||||
epoch 1/1 stage1[loss=1.737] stage2[d=7.847 g=-0.052] val 17.1161 0.1s [best]
|
||||
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||||
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giant==0.3.10
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||||
@@ -0,0 +1 @@
|
||||
/home/lars/.cache/wandb/logs/core-debug-20260826_120213.log
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||||
@@ -0,0 +1,18 @@
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||||
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router:
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emb_dim: 8
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enabled: false
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gumbel: false
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gumbel_tau_end: 0.1
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gumbel_tau_start: 1
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lambda_balance: 0
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temperature: 0.5
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type: energy
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width_max_ratio: 10
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width_min_ratio: 0.1
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trunk:
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block_conditioning: add
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type: resmlp
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wgan:
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critic_hidden_dim: 0
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stage2_model:
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value:
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active: true
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autoregressive:
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attn_n_layers: 2
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history: markov
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order: energy_desc
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teacher_forcing: always
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tf_p_end: 1
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tf_p_start: 1
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context_dim: 64
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ctx_p_end: 0
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ctx_p_start: 1
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ddpm:
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n_steps: 1000
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time_dim: 64
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decoder: one_shot
|
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dropout: 0
|
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flow:
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time_dim: 64
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freeze: false
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generator: wgan
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heads:
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n_sec:
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depth: 2
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hidden_ratio: 0.5
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type:
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depth: 2
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hidden_ratio: 0.5
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hidden_dim: 16
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init_from: ""
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k_max: 15
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lambda: 1
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n_res_blocks: 1
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n_sec:
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lambda: 0.1
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mode: head
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owner: stage2
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stop_sampling: greedy
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particle_type:
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lambda: 1
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target: physical
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router:
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gumbel: false
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gumbel_tau_end: 0.1
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temperature: 0.5
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type: energy
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width_max_ratio: 10
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trunk:
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block_conditioning: add
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type: resmlp
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wgan:
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critic_lr: 0
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gumbel_tau_start: 1
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noise_dim: 64
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train:
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value:
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batch_size: 32
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ema_decay: 0.9999
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epochs: 2
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lr: 0.0003
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max_val_batches: 200
|
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num_workers: 4
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precision: fp32
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seed: 0
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val_fraction: 0.1
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validate_every: 0
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validate_steps: 10
|
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wandb: true
|
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wandb_log_every: 50
|
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wandb_project: giant
|
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wandb_run_name: ""
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warmup_epochs: 5
|
||||
weight_decay: 0.01
|
||||
@@ -0,0 +1,43 @@
|
||||
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.1076 1.1637 1.0986 14.1188
|
||||
edep_logit 0.1038 0.2827 0.9154 0.7847 16.2047
|
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sec_logit -0.0401 0.0723 0.9973 0.9535 19.8511
|
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post_dx -0.1144 0.1943 0.8849 1.3492 15.1401
|
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post_dy 0.1969 0.1017 0.9479 0.9934 13.7722
|
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post_dz 0.1798 -0.2223 1.1660 0.6994 12.7509
|
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travel_dx 0.0000 0.2915 0.0000 1.0738 2.7726
|
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travel_dy 0.0000 0.2844 0.0000 1.2037 21.1933
|
||||
travel_dz 0.0000 -0.0128 0.0000 1.1544 21.1933
|
||||
|
||||
n_sec accuracy=0.0000 mean|Δ|=13.0625
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 0.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
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3 0.0000 0.0000
|
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4 0.0000 0.0000
|
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5 0.0000 0.0000
|
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6 0.0000 0.0000
|
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7 0.0000 0.0000
|
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8 0.0000 0.0000
|
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9 0.0000 0.0000
|
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10 0.0000 0.0000
|
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11 0.0000 0.0000
|
||||
12 0.0000 0.0000
|
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13 0.0000 0.0000
|
||||
14 0.0000 1.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
0 0.6770 0.4252 0.3354 0.0736 14.0593
|
||||
1 1.0000 0.5047 0.0000 0.0767 21.1933
|
||||
|
||||
sec phys (normalised) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
--------------------------------------------------------------------
|
||||
log_mass 0.1510 0.1133 0.9292 0.3696 5.0602
|
||||
charge -0.1977 -0.0202 0.9295 0.3459 14.5943
|
||||
epoch 2/2 stage1[loss=1.755] stage2[d=7.672 g=-0.038] val 17.1139 0.1s [best]
|
||||
@@ -0,0 +1,122 @@
|
||||
typer==0.26.7
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python-dateutil==2.9.0.post0
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six==1.17.0
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markdown-it-py==4.2.0
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Pygments==2.20.0
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tqdm==4.68.3
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torch==2.3.1+cpu
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ty==0.0.50
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ruff==0.15.17
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polars-runtime-32==1.41.2
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requests==2.34.2
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protobuf==7.35.1
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wandb==0.28.1
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tomlkit==0.15.1
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h11==0.16.0
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git-cliff==2.13.1
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httpcore2==2.11.0
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bump-my-version==1.5.1
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anyio==4.14.2
|
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giant==0.3.10
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parse==1.22.1
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python-daemon==2.1.2
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colorama==0.4.6
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tenacity==8.5.0
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lockfile==0.12.2
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cachetools==7.1.7
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GitPython==3.1.60
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b2luigi==1.2.9
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luigi==3.7.3
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setuptools==84.0.0
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@@ -0,0 +1,36 @@
|
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|
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|
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"--workers",
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|
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"--mode",
|
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|
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|
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|
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"codePathLocal": "giant/workflow/run.py",
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|
||||
},
|
||||
"email": "lars.bogner@outlook.de",
|
||||
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|
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||||
@@ -0,0 +1 @@
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||||
/home/lars/.cache/wandb/logs/core-debug-20260826_120213.log
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||||
@@ -0,0 +1,18 @@
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||||
{"time":"2026-08-26T12:02:16.182304707+02:00","level":"INFO","msg":"wandb-core"}
|
||||
{"time":"2026-08-26T12:02:16.18243376+02:00","level":"INFO","msg":"stream: starting","core version":"0.28.1"}
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||||
{"time":"2026-08-26T12:02:16.589676205+02:00","level":"INFO","msg":"stream: created new stream","id":"epochs=2"}
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||||
{"time":"2026-08-26T12:02:16.589805468+02:00","level":"INFO","msg":"handler: started"}
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||||
{"time":"2026-08-26T12:02:16.590014321+02:00","level":"INFO","msg":"stream: started"}
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||||
{"time":"2026-08-26T12:02:16.590091056+02:00","level":"INFO","msg":"writer: started","stream_id":"epochs=2"}
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||||
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||||
{"time":"2026-08-26T12:02:17.658164682+02:00","level":"WARN","msg":"handler: ignoring partial history record","step":10,"current":11}
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||||
{"time":"2026-08-26T12:02:17.720133864+02:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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||||
{"time":"2026-08-26T12:02:18.943650388+02:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
||||
{"time":"2026-08-26T12:02:18.943968688+02:00","level":"INFO","msg":"filestream: sending request","total_files":2,"console_offset":0,"console_lines":43,"uploaded_len":5,"complete":true,"exit_code":0}
|
||||
{"time":"2026-08-26T12:02:19.215598732+02:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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||||
{"time":"2026-08-26T12:02:19.2166543+02:00","level":"INFO","msg":"handler: operation stats","stats":{}}
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||||
{"time":"2026-08-26T12:02:19.219498297+02:00","level":"INFO","msg":"stream: finishing up"}
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||||
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||||
{"time":"2026-08-26T12:02:19.219588486+02:00","level":"INFO","msg":"sender: closed"}
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||||
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File diff suppressed because one or more lines are too long
Binary file not shown.
@@ -0,0 +1,356 @@
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value:
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||||
e:
|
||||
ech3gckfz8ow6v0prp6u6to7jdragvbh:
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||||
args:
|
||||
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|
||||
- /tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/smoke.toml
|
||||
- --workers
|
||||
- "1"
|
||||
- --mode
|
||||
- run
|
||||
codePath: giant/workflow/run.py
|
||||
codePathLocal: giant/workflow/run.py
|
||||
cpu_count: 8
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cpu_count_logical: 16
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disk:
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used: "227061452800"
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email: lars.bogner@outlook.de
|
||||
executable: /home/lars/Programming/giant/.venv/bin/python3
|
||||
git:
|
||||
commit: 44edb474b26e0b618419f8f6e4503b0db9926f5c
|
||||
remote: gitea@git.larsbogner.de:lars/giant.git
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||||
host: fedora-thinkpad
|
||||
memory:
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total: "15931523072"
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os: Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43
|
||||
program: /home/lars/Programming/giant/giant/workflow/run.py
|
||||
python: CPython 3.12.13
|
||||
root: /home/lars/Programming/giant
|
||||
startedAt: "2026-08-26T10:02:19.503221Z"
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||||
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t:
|
||||
"1":
|
||||
- 1
|
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- 5
|
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- 53
|
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"2":
|
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- 1
|
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- 5
|
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- 53
|
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"3":
|
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- 2
|
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- 5
|
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- 13
|
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- 14
|
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- 16
|
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- 61
|
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- 62
|
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"4": 3.12.13
|
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"5": 0.28.1
|
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"12": 0.28.1
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"13": linux-x86_64
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value:
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mat_vocab: 2
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pdg_vocab: 5
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stage1_model:
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ddpm:
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temperature: 0.5
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trunk:
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autoregressive:
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order: energy_desc
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teacher_forcing: always
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ddpm:
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generator: wgan
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type:
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n_sec:
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stop_sampling: greedy
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temperature: 0.5
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stage1_context: truth
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trunk:
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block_conditioning: add
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wgan:
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param_counts:
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value:
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stage1: 26409
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stage2: 54162
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total: 80571
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stage1_model:
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value:
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active: true
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ddpm:
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dropout: 0
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flow:
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time_dim: 64
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freeze: false
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temperature: 0.5
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type: energy
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width_max_ratio: 10
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width_min_ratio: 0.1
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trunk:
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block_conditioning: add
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type: resmlp
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wgan:
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critic_hidden_dim: 0
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critic_lr: 0
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critic_n_res_blocks: 0
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gp_weight: 10
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stage2_model:
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value:
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active: true
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autoregressive:
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attn_n_heads: 4
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history: markov
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order: energy_desc
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teacher_forcing: always
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tf_p_end: 1
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tf_p_start: 1
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ctx_p_end: 0
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ctx_p_start: 1
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ddpm:
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decoder: one_shot
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dropout: 0
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flow:
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freeze: false
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generator: wgan
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heads:
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n_sec:
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hidden_ratio: 0.5
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type:
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k_max: 15
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lambda: 1
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n_res_blocks: 1
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n_sec:
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lambda: 0.1
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mode: head
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owner: stage2
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stop_sampling: greedy
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particle_type:
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class_weighting: none
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router:
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gumbel_tau_start: 1
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lambda_entropy: 0
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n_experts: 4
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temperature: 0.5
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tie_to_stage1: false
|
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type: energy
|
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width_max_ratio: 10
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width_min_ratio: 0.1
|
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stage1_context: truth
|
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trunk:
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block_conditioning: add
|
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type: resmlp
|
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wgan:
|
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critic_hidden_dim: 0
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critic_lr: 0
|
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critic_n_res_blocks: 0
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gp_weight: 10
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gumbel_tau_end: 0.1
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gumbel_tau_start: 1
|
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n_critic: 5
|
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noise_dim: 64
|
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train:
|
||||
value:
|
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batch_size: 32
|
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ema_decay: 0.9999
|
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epochs: 3
|
||||
lr: 0.0003
|
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max_val_batches: 200
|
||||
num_workers: 4
|
||||
precision: fp32
|
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seed: 0
|
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val_fraction: 0.1
|
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validate_every: 0
|
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validate_steps: 10
|
||||
wandb: true
|
||||
wandb_log_every: 50
|
||||
wandb_project: giant
|
||||
wandb_run_name: ""
|
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warmup_epochs: 5
|
||||
weight_decay: 0.01
|
||||
@@ -0,0 +1,43 @@
|
||||
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.1076 1.1637 1.0986 14.1188
|
||||
edep_logit 0.1038 0.2827 0.9154 0.7847 16.2047
|
||||
sec_logit -0.0401 0.0723 0.9973 0.9535 19.8511
|
||||
post_dx -0.1144 0.1943 0.8849 1.3492 15.1401
|
||||
post_dy 0.1969 0.1017 0.9479 0.9934 13.7722
|
||||
post_dz 0.1798 -0.2223 1.1660 0.6994 12.7509
|
||||
travel_dx 0.0000 0.2914 0.0000 1.0738 2.7726
|
||||
travel_dy 0.0000 0.2844 0.0000 1.2037 21.1933
|
||||
travel_dz 0.0000 -0.0128 0.0000 1.1544 21.1933
|
||||
|
||||
n_sec accuracy=0.0000 mean|Δ|=13.0625
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 0.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
||||
3 0.0000 0.0000
|
||||
4 0.0000 0.0000
|
||||
5 0.0000 0.0000
|
||||
6 0.0000 0.0000
|
||||
7 0.0000 0.0000
|
||||
8 0.0000 0.0000
|
||||
9 0.0000 0.0000
|
||||
10 0.0000 0.0000
|
||||
11 0.0000 0.0000
|
||||
12 0.0000 0.0000
|
||||
13 0.0000 0.0000
|
||||
14 0.0000 1.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
0 0.6770 0.4252 0.3354 0.0736 14.0593
|
||||
1 1.0000 0.5047 0.0000 0.0767 21.1933
|
||||
|
||||
sec phys (normalised) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
--------------------------------------------------------------------
|
||||
log_mass 0.1510 0.1133 0.9292 0.3696 5.0602
|
||||
charge -0.1977 -0.0202 0.9295 0.3459 14.5943
|
||||
epoch 3/3 stage1[loss=1.712] stage2[d=7.207 g=-0.049] val 17.1098 0.1s [best]
|
||||
@@ -0,0 +1,122 @@
|
||||
typer==0.26.7
|
||||
python-dateutil==2.9.0.post0
|
||||
six==1.17.0
|
||||
markdown-it-py==4.2.0
|
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mdurl==0.1.2
|
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annotated-doc==0.0.4
|
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shellingham==1.5.4
|
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rich==15.0.0
|
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Pygments==2.20.0
|
||||
numpy==2.4.6
|
||||
pyarrow==24.0.0
|
||||
pandas==3.0.3
|
||||
tqdm==4.68.3
|
||||
PyYAML==6.0.3
|
||||
packaging==26.2
|
||||
typing_extensions==4.15.0
|
||||
MarkupSafe==3.0.3
|
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filelock==3.29.4
|
||||
Jinja2==3.1.6
|
||||
fsspec==2026.6.0
|
||||
mpmath==1.3.0
|
||||
networkx==3.6.1
|
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sympy==1.14.0
|
||||
torch==2.3.1+cpu
|
||||
iniconfig==2.3.0
|
||||
pluggy==1.6.0
|
||||
ty==0.0.50
|
||||
ruff==0.15.17
|
||||
pytest==9.1.0
|
||||
polars-runtime-32==1.41.2
|
||||
polars==1.41.2
|
||||
cramjam==2.11.0
|
||||
xxhash==3.7.0
|
||||
awkward_cpp==53
|
||||
uproot==5.7.4
|
||||
awkward==2.9.1
|
||||
ipython_pygments_lexers==1.1.1
|
||||
comm==0.2.3
|
||||
decorator==5.3.1
|
||||
nest-asyncio2==1.7.2
|
||||
stack-data==0.6.3
|
||||
kiwisolver==1.5.0
|
||||
pyparsing==3.3.2
|
||||
platformdirs==4.10.0
|
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matplotlib-inline==0.2.2
|
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ipykernel==7.3.0
|
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jupyter_core==5.9.1
|
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ptyprocess==0.7.0
|
||||
pexpect==4.9.0
|
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executing==2.2.1
|
||||
psutil==7.2.2
|
||||
asttokens==3.0.1
|
||||
parso==0.8.7
|
||||
wcwidth==0.8.1
|
||||
pure_eval==0.2.3
|
||||
cycler==0.12.1
|
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jupyter_client==8.9.1
|
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traitlets==5.15.1
|
||||
contourpy==1.3.3
|
||||
pyzmq==27.1.0
|
||||
tornado==6.5.7
|
||||
pillow==12.2.0
|
||||
prompt_toolkit==3.0.52
|
||||
ipython==9.14.1
|
||||
debugpy==1.8.21
|
||||
fonttools==4.63.0
|
||||
matplotlib==3.11.0
|
||||
jedi==0.20.0
|
||||
threadpoolctl==3.6.0
|
||||
joblib==1.5.3
|
||||
narwhals==2.23.0
|
||||
scikit-learn==1.9.0
|
||||
scipy==1.18.0
|
||||
hepunits==2.4.6
|
||||
attrs==26.1.0
|
||||
particle==1.0.0
|
||||
plotstyle==1.0.0
|
||||
certifi==2026.7.22
|
||||
typing-inspection==0.4.2
|
||||
annotated-types==0.8.0
|
||||
idna==3.18
|
||||
requests==2.34.2
|
||||
click==8.4.2
|
||||
pydantic_core==2.46.4
|
||||
charset-normalizer==3.4.9
|
||||
urllib3==2.7.0
|
||||
protobuf==7.35.1
|
||||
pydantic==2.13.4
|
||||
sentry-sdk==2.66.1
|
||||
wandb==0.28.1
|
||||
pytest-cov==7.1.0
|
||||
coverage==7.15.4
|
||||
tomlkit==0.15.1
|
||||
h11==0.16.0
|
||||
bracex==3.0.1
|
||||
truststore==0.10.4
|
||||
python-dotenv==1.2.3
|
||||
wcmatch==11.0.1
|
||||
questionary==2.1.1
|
||||
git-cliff==2.13.1
|
||||
pydantic-settings==2.15.0
|
||||
rich-click==1.9.8
|
||||
httpx2==2.11.0
|
||||
httpcore2==2.11.0
|
||||
bump-my-version==1.5.1
|
||||
anyio==4.14.2
|
||||
giant==0.3.10
|
||||
parse==1.22.1
|
||||
python-daemon==2.1.2
|
||||
colorama==0.4.6
|
||||
tenacity==8.5.0
|
||||
lockfile==0.12.2
|
||||
webdavclient3==3.14.7
|
||||
cachetools==7.1.7
|
||||
smmap==5.0.3
|
||||
gitdb==4.0.12
|
||||
GitPython==3.1.60
|
||||
b2luigi==1.2.9
|
||||
lxml==6.1.2
|
||||
docutils==0.23
|
||||
luigi==3.7.3
|
||||
setuptools==84.0.0
|
||||
@@ -0,0 +1,36 @@
|
||||
{
|
||||
"os": "Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43",
|
||||
"python": "CPython 3.12.13",
|
||||
"startedAt": "2026-08-26T10:02:19.503221Z",
|
||||
"args": [
|
||||
"--spec",
|
||||
"/tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/smoke.toml",
|
||||
"--workers",
|
||||
"1",
|
||||
"--mode",
|
||||
"run"
|
||||
],
|
||||
"program": "/home/lars/Programming/giant/giant/workflow/run.py",
|
||||
"codePath": "giant/workflow/run.py",
|
||||
"codePathLocal": "giant/workflow/run.py",
|
||||
"git": {
|
||||
"remote": "gitea@git.larsbogner.de:lars/giant.git",
|
||||
"commit": "44edb474b26e0b618419f8f6e4503b0db9926f5c"
|
||||
},
|
||||
"email": "lars.bogner@outlook.de",
|
||||
"root": "/home/lars/Programming/giant",
|
||||
"host": "fedora-thinkpad",
|
||||
"executable": "/home/lars/Programming/giant/.venv/bin/python3",
|
||||
"cpu_count": 8,
|
||||
"cpu_count_logical": 16,
|
||||
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||||
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||||
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|
||||
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|
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email: lars.bogner@outlook.de
|
||||
executable: /home/lars/Programming/giant/.venv/bin/python3
|
||||
git:
|
||||
commit: 44edb474b26e0b618419f8f6e4503b0db9926f5c
|
||||
remote: gitea@git.larsbogner.de:lars/giant.git
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|
||||
python: CPython 3.12.13
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||||
root: /home/lars/Programming/giant
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n_critic: 5
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train:
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value:
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lr: 0.0003
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weight_decay: 0.01
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@@ -0,0 +1,127 @@
|
||||
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.1076 1.1637 1.0986 14.1188
|
||||
edep_logit 0.1038 0.2827 0.9154 0.7847 16.2047
|
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sec_logit -0.0401 0.0723 0.9973 0.9535 19.8511
|
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post_dx -0.1144 0.1943 0.8849 1.3492 15.1401
|
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post_dy 0.1969 0.1017 0.9479 0.9934 13.7722
|
||||
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|
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travel_dx 0.0000 0.2915 0.0000 1.0738 2.7726
|
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travel_dy 0.0000 0.2844 0.0000 1.2037 21.1933
|
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travel_dz 0.0000 -0.0128 0.0000 1.1544 21.1933
|
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|
||||
n_sec accuracy=0.0000 mean|Δ|=13.0625
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 0.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
||||
3 0.0000 0.0000
|
||||
4 0.0000 0.0000
|
||||
5 0.0000 0.0000
|
||||
6 0.0000 0.0000
|
||||
7 0.0000 0.0000
|
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8 0.0000 0.0000
|
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9 0.0000 0.0000
|
||||
10 0.0000 0.0000
|
||||
11 0.0000 0.0000
|
||||
12 0.0000 0.0000
|
||||
13 0.0000 0.0000
|
||||
14 0.0000 1.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
0 0.6770 0.4252 0.3354 0.0736 14.0593
|
||||
1 1.0000 0.5047 0.0000 0.0767 21.1933
|
||||
|
||||
sec phys (normalised) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
--------------------------------------------------------------------
|
||||
log_mass 0.1510 0.1133 0.9292 0.3696 5.0602
|
||||
charge -0.1977 -0.0202 0.9295 0.3459 14.5943
|
||||
epoch 1/3 stage1[loss=1.737] stage2[d=7.847 g=-0.052] val 17.1161 0.3s [best]
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.1138 1.1637 0.6507 10.6109
|
||||
edep_logit 0.1038 -0.3291 0.9154 0.8459 13.7722
|
||||
sec_logit -0.0401 -0.4340 0.9973 1.3417 17.4832
|
||||
post_dx -0.1144 0.4730 0.8849 1.4054 15.2701
|
||||
post_dy 0.1969 -0.1226 0.9479 0.9225 12.7942
|
||||
post_dz 0.1798 0.1625 1.1660 0.9823 15.1401
|
||||
travel_dx 0.0000 0.1272 0.0000 0.7632 21.1933
|
||||
travel_dy 0.0000 -0.3706 0.0000 1.1384 21.1933
|
||||
travel_dz 0.0000 -0.0554 0.0000 1.0224 21.1933
|
||||
|
||||
n_sec accuracy=0.0000 mean|Δ|=13.0625
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 0.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
||||
3 0.0000 0.0000
|
||||
4 0.0000 0.0000
|
||||
5 0.0000 0.0000
|
||||
6 0.0000 0.0000
|
||||
7 0.0000 0.0000
|
||||
8 0.0000 0.0000
|
||||
9 0.0000 0.0000
|
||||
10 0.0000 0.0000
|
||||
11 0.0000 0.0000
|
||||
12 0.0000 0.0000
|
||||
13 0.0000 0.0000
|
||||
14 0.0000 1.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
0 0.6770 0.4543 0.3354 0.0673 17.7840
|
||||
1 1.0000 0.5093 0.0000 0.0997 21.1933
|
||||
|
||||
sec phys (normalised) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
--------------------------------------------------------------------
|
||||
log_mass 0.1510 0.1522 0.9292 0.3862 5.3486
|
||||
charge -0.1977 -0.0755 0.9295 0.3599 6.1602
|
||||
epoch 2/3 stage1[loss=1.794] stage2[d=7.604 g=-0.043] val 18.5704 0.1s
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.0857 1.1637 1.2332 8.4383
|
||||
edep_logit 0.1038 -0.1044 0.9154 1.5167 12.8375
|
||||
sec_logit -0.0401 -0.2881 0.9973 1.0793 16.2495
|
||||
post_dx -0.1144 0.5103 0.8849 1.3179 14.1621
|
||||
post_dy 0.1969 -0.1507 0.9479 0.8615 8.1457
|
||||
post_dz 0.1798 0.2059 1.1660 0.7526 15.1401
|
||||
travel_dx 0.0000 0.1885 0.0000 1.0262 2.7726
|
||||
travel_dy 0.0000 -0.7054 0.0000 0.9050 21.1933
|
||||
travel_dz 0.0000 -0.1828 0.0000 1.4572 2.7726
|
||||
|
||||
n_sec accuracy=0.0000 mean|Δ|=13.0625
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 0.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
||||
3 0.0000 0.0000
|
||||
4 0.0000 0.0000
|
||||
5 0.0000 0.0000
|
||||
6 0.0000 0.0000
|
||||
7 0.0000 0.0000
|
||||
8 0.0000 0.0000
|
||||
9 0.0000 0.0000
|
||||
10 0.0000 0.0000
|
||||
11 0.0000 0.0000
|
||||
12 0.0000 0.0000
|
||||
13 0.0000 0.0000
|
||||
14 0.0000 1.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
0 0.6770 0.4512 0.3354 0.0833 15.8726
|
||||
1 1.0000 0.5004 0.0000 0.0781 21.1933
|
||||
|
||||
sec phys (normalised) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
--------------------------------------------------------------------
|
||||
log_mass 0.1510 0.1062 0.9292 0.3565 5.3916
|
||||
charge -0.1977 -0.0419 0.9295 0.3743 14.8294
|
||||
epoch 3/3 stage1[loss=1.783] stage2[d=7.213 g=-0.049] val 13.3544 0.1s [best]
|
||||
@@ -0,0 +1,122 @@
|
||||
typer==0.26.7
|
||||
python-dateutil==2.9.0.post0
|
||||
six==1.17.0
|
||||
markdown-it-py==4.2.0
|
||||
mdurl==0.1.2
|
||||
annotated-doc==0.0.4
|
||||
shellingham==1.5.4
|
||||
rich==15.0.0
|
||||
Pygments==2.20.0
|
||||
numpy==2.4.6
|
||||
pyarrow==24.0.0
|
||||
pandas==3.0.3
|
||||
tqdm==4.68.3
|
||||
PyYAML==6.0.3
|
||||
packaging==26.2
|
||||
typing_extensions==4.15.0
|
||||
MarkupSafe==3.0.3
|
||||
filelock==3.29.4
|
||||
Jinja2==3.1.6
|
||||
fsspec==2026.6.0
|
||||
mpmath==1.3.0
|
||||
networkx==3.6.1
|
||||
sympy==1.14.0
|
||||
torch==2.3.1+cpu
|
||||
iniconfig==2.3.0
|
||||
pluggy==1.6.0
|
||||
ty==0.0.50
|
||||
ruff==0.15.17
|
||||
pytest==9.1.0
|
||||
polars-runtime-32==1.41.2
|
||||
polars==1.41.2
|
||||
cramjam==2.11.0
|
||||
xxhash==3.7.0
|
||||
awkward_cpp==53
|
||||
uproot==5.7.4
|
||||
awkward==2.9.1
|
||||
ipython_pygments_lexers==1.1.1
|
||||
comm==0.2.3
|
||||
decorator==5.3.1
|
||||
nest-asyncio2==1.7.2
|
||||
stack-data==0.6.3
|
||||
kiwisolver==1.5.0
|
||||
pyparsing==3.3.2
|
||||
platformdirs==4.10.0
|
||||
matplotlib-inline==0.2.2
|
||||
ipykernel==7.3.0
|
||||
jupyter_core==5.9.1
|
||||
ptyprocess==0.7.0
|
||||
pexpect==4.9.0
|
||||
executing==2.2.1
|
||||
psutil==7.2.2
|
||||
asttokens==3.0.1
|
||||
parso==0.8.7
|
||||
wcwidth==0.8.1
|
||||
pure_eval==0.2.3
|
||||
cycler==0.12.1
|
||||
jupyter_client==8.9.1
|
||||
traitlets==5.15.1
|
||||
contourpy==1.3.3
|
||||
pyzmq==27.1.0
|
||||
tornado==6.5.7
|
||||
pillow==12.2.0
|
||||
prompt_toolkit==3.0.52
|
||||
ipython==9.14.1
|
||||
debugpy==1.8.21
|
||||
fonttools==4.63.0
|
||||
matplotlib==3.11.0
|
||||
jedi==0.20.0
|
||||
threadpoolctl==3.6.0
|
||||
joblib==1.5.3
|
||||
narwhals==2.23.0
|
||||
scikit-learn==1.9.0
|
||||
scipy==1.18.0
|
||||
hepunits==2.4.6
|
||||
attrs==26.1.0
|
||||
particle==1.0.0
|
||||
plotstyle==1.0.0
|
||||
certifi==2026.7.22
|
||||
typing-inspection==0.4.2
|
||||
annotated-types==0.8.0
|
||||
idna==3.18
|
||||
requests==2.34.2
|
||||
click==8.4.2
|
||||
pydantic_core==2.46.4
|
||||
charset-normalizer==3.4.9
|
||||
urllib3==2.7.0
|
||||
protobuf==7.35.1
|
||||
pydantic==2.13.4
|
||||
sentry-sdk==2.66.1
|
||||
wandb==0.28.1
|
||||
pytest-cov==7.1.0
|
||||
coverage==7.15.4
|
||||
tomlkit==0.15.1
|
||||
h11==0.16.0
|
||||
bracex==3.0.1
|
||||
truststore==0.10.4
|
||||
python-dotenv==1.2.3
|
||||
wcmatch==11.0.1
|
||||
questionary==2.1.1
|
||||
git-cliff==2.13.1
|
||||
pydantic-settings==2.15.0
|
||||
rich-click==1.9.8
|
||||
httpx2==2.11.0
|
||||
httpcore2==2.11.0
|
||||
bump-my-version==1.5.1
|
||||
anyio==4.14.2
|
||||
giant==0.3.10
|
||||
parse==1.22.1
|
||||
python-daemon==2.1.2
|
||||
colorama==0.4.6
|
||||
tenacity==8.5.0
|
||||
lockfile==0.12.2
|
||||
webdavclient3==3.14.7
|
||||
cachetools==7.1.7
|
||||
smmap==5.0.3
|
||||
gitdb==4.0.12
|
||||
GitPython==3.1.60
|
||||
b2luigi==1.2.9
|
||||
lxml==6.1.2
|
||||
docutils==0.23
|
||||
luigi==3.7.3
|
||||
setuptools==84.0.0
|
||||
@@ -0,0 +1,52 @@
|
||||
{
|
||||
"os": "Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43",
|
||||
"python": "CPython 3.12.13",
|
||||
"startedAt": "2026-08-26T10:04:35.293861Z",
|
||||
"args": [
|
||||
"train",
|
||||
"/tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/data/train.parquet",
|
||||
"--config",
|
||||
"/tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/tiny.toml",
|
||||
"--epochs",
|
||||
"3",
|
||||
"--hidden-dim",
|
||||
"16",
|
||||
"--n-blocks",
|
||||
"1",
|
||||
"--batch-size",
|
||||
"32",
|
||||
"--stage2-hidden-dim",
|
||||
"16",
|
||||
"--stage2-n-res-blocks",
|
||||
"1",
|
||||
"--num-workers",
|
||||
"0",
|
||||
"--device",
|
||||
"cpu",
|
||||
"--out",
|
||||
"/tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/single"
|
||||
],
|
||||
"program": "/home/lars/Programming/giant/.venv/bin/giant",
|
||||
"codePath": ".venv/bin/giant",
|
||||
"codePathLocal": ".venv/bin/giant",
|
||||
"git": {
|
||||
"remote": "gitea@git.larsbogner.de:lars/giant.git",
|
||||
"commit": "44edb474b26e0b618419f8f6e4503b0db9926f5c"
|
||||
},
|
||||
"email": "lars.bogner@outlook.de",
|
||||
"root": "/home/lars/Programming/giant",
|
||||
"host": "fedora-thinkpad",
|
||||
"executable": "/home/lars/Programming/giant/.venv/bin/python3",
|
||||
"cpu_count": 8,
|
||||
"cpu_count_logical": 16,
|
||||
"disk": {
|
||||
"/": {
|
||||
"total": "1153673723904",
|
||||
"used": "227076513792"
|
||||
}
|
||||
},
|
||||
"memory": {
|
||||
"total": "15931523072"
|
||||
},
|
||||
"writerId": "ted3b2zyeqjn8103v9859f869djfa894"
|
||||
}
|
||||
@@ -0,0 +1 @@
|
||||
{"stage1/val/loss_gen":2.0530993938446045,"_wandb":{"runtime":0},"stage1/val/loss_nsec":0,"is_best":1,"stage1/val/loss_type":0,"stage1/val/loss":2.0530993938446045,"stage2/lr":0.00023999999999999998,"samples_per_sec":1197.4269796796264,"stage1/val/stop_acc":0,"stage1/val/loss_stop":0,"epoch":3,"stage1/train/loss_gen":1.7828800059798966,"_timestamp":1.7877386773129892e+09,"stage2/train/loss_stop":0,"stage2/train/grad_norm_d":13.77030973506153,"stage2/train/gp_loss":0.7146442339832622,"stage1/train/loss_proc":0,"stage1/train/type_acc":0,"stage1/train/loss_balance":0,"grad_norm":14.5173784066972,"stage2/train/loss_nsec":2.961937870298113,"gpu_mem_mb":0,"stage1/train/loss_type":0,"stage1/train/loss":1.7828800059798966,"stage1/train/stop_acc":0,"stage2/critic_lr":0.0003,"stage2/train/stop_acc":0,"val/marginal_kl":11.30129785568997,"stage1/train/grad_norm":0.6233828596602705,"stage2/train/grad_norm_g":0.12368581197539666,"stage1/val/nsec_acc":0,"stage1/train/loss_entropy":0,"stage1/lr":0.00023999999999999998,"stage2/train/nsec_acc":0,"stage1/train/loss_nsec":0,"stage2/train/wasserstein":-0.06684112884944543,"stage1/train/nsec_acc":0,"epoch_time_s":0.11107149100280367,"_runtime":0.72810333,"stage2/train/g_loss":-0.04876285567319483,"_step":15,"stage2/train/d_loss":7.2132834850397325,"stage1/val/type_acc":0,"val/loss":13.354397249534575,"stage1/train/loss_stop":0}
|
||||
@@ -0,0 +1 @@
|
||||
/home/lars/.cache/wandb/logs/core-debug-20260826_120434.log
|
||||
@@ -0,0 +1,17 @@
|
||||
{"time":"2026-08-26T12:04:35.297103373+02:00","level":"INFO","msg":"wandb-core"}
|
||||
{"time":"2026-08-26T12:04:35.297423797+02:00","level":"INFO","msg":"stream: starting","core version":"0.28.1"}
|
||||
{"time":"2026-08-26T12:04:35.804877068+02:00","level":"INFO","msg":"stream: created new stream","id":"single"}
|
||||
{"time":"2026-08-26T12:04:35.804964392+02:00","level":"INFO","msg":"handler: started"}
|
||||
{"time":"2026-08-26T12:04:35.805163177+02:00","level":"INFO","msg":"stream: started"}
|
||||
{"time":"2026-08-26T12:04:35.805195267+02:00","level":"INFO","msg":"sender: started"}
|
||||
{"time":"2026-08-26T12:04:35.805197551+02:00","level":"INFO","msg":"writer: started","stream_id":"single"}
|
||||
{"time":"2026-08-26T12:04:36.6994424+02:00","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":0,"console_lines":1}
|
||||
{"time":"2026-08-26T12:04:36.918818681+02:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
||||
{"time":"2026-08-26T12:04:38.051163674+02:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
||||
{"time":"2026-08-26T12:04:38.051794011+02:00","level":"INFO","msg":"filestream: sending request","total_files":3,"history_offset":0,"history_lines":3,"console_offset":0,"console_lines":127,"uploaded_len":5,"complete":true,"exit_code":0}
|
||||
{"time":"2026-08-26T12:04:38.289924373+02:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
||||
{"time":"2026-08-26T12:04:38.291251863+02:00","level":"INFO","msg":"handler: operation stats","stats":{}}
|
||||
{"time":"2026-08-26T12:04:38.29395275+02:00","level":"INFO","msg":"stream: finishing up"}
|
||||
{"time":"2026-08-26T12:04:38.293965835+02:00","level":"INFO","msg":"handler: closed"}
|
||||
{"time":"2026-08-26T12:04:38.294018434+02:00","level":"INFO","msg":"sender: closed"}
|
||||
{"time":"2026-08-26T12:04:38.294024645+02:00","level":"INFO","msg":"stream: all finished"}
|
||||
File diff suppressed because one or more lines are too long
Binary file not shown.
@@ -0,0 +1,356 @@
|
||||
_wandb:
|
||||
value:
|
||||
cli_version: 0.28.1
|
||||
e:
|
||||
or4v6kb1ovc7c03s73xv05tt65ws327p:
|
||||
args:
|
||||
- --spec
|
||||
- /tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/smoke.toml
|
||||
- --workers
|
||||
- "1"
|
||||
- --mode
|
||||
- run
|
||||
codePath: giant/workflow/run.py
|
||||
codePathLocal: giant/workflow/run.py
|
||||
cpu_count: 8
|
||||
cpu_count_logical: 16
|
||||
disk:
|
||||
/:
|
||||
total: "1153673723904"
|
||||
used: "227085520896"
|
||||
email: lars.bogner@outlook.de
|
||||
executable: /home/lars/Programming/giant/.venv/bin/python3
|
||||
git:
|
||||
commit: 44edb474b26e0b618419f8f6e4503b0db9926f5c
|
||||
remote: gitea@git.larsbogner.de:lars/giant.git
|
||||
host: fedora-thinkpad
|
||||
memory:
|
||||
total: "15931523072"
|
||||
os: Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43
|
||||
program: /home/lars/Programming/giant/giant/workflow/run.py
|
||||
python: CPython 3.12.13
|
||||
root: /home/lars/Programming/giant
|
||||
startedAt: "2026-08-26T10:05:47.410749Z"
|
||||
writerId: or4v6kb1ovc7c03s73xv05tt65ws327p
|
||||
m: []
|
||||
python_version: 3.12.13
|
||||
t:
|
||||
"1":
|
||||
- 1
|
||||
- 5
|
||||
- 53
|
||||
"2":
|
||||
- 1
|
||||
- 5
|
||||
- 53
|
||||
"3":
|
||||
- 2
|
||||
- 5
|
||||
- 13
|
||||
- 14
|
||||
- 16
|
||||
- 61
|
||||
- 62
|
||||
"4": 3.12.13
|
||||
"5": 0.28.1
|
||||
"12": 0.28.1
|
||||
"13": linux-x86_64
|
||||
conditioning:
|
||||
value:
|
||||
material:
|
||||
emb_dim: 16
|
||||
n_layers: 2
|
||||
type: physical
|
||||
out_dim: 128
|
||||
particle:
|
||||
emb_dim: 16
|
||||
n_layers: 2
|
||||
type: physical
|
||||
share_stages: false
|
||||
model_config:
|
||||
value:
|
||||
conditioning:
|
||||
material:
|
||||
emb_dim: 16
|
||||
n_layers: 2
|
||||
type: physical
|
||||
out_dim: 128
|
||||
particle:
|
||||
emb_dim: 16
|
||||
n_layers: 2
|
||||
type: physical
|
||||
share_stages: false
|
||||
mat_vocab: 2
|
||||
pdg_vocab: 5
|
||||
stage1_model:
|
||||
active: true
|
||||
ddpm:
|
||||
n_steps: 1000
|
||||
time_dim: 64
|
||||
dropout: 0
|
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flow:
|
||||
time_dim: 64
|
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freeze: false
|
||||
generator: flow
|
||||
heads:
|
||||
n_sec:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
hidden_dim: 16
|
||||
init_from: ""
|
||||
lambda: 1
|
||||
n_res_blocks: 1
|
||||
router:
|
||||
emb_dim: 8
|
||||
enabled: false
|
||||
gumbel: false
|
||||
gumbel_tau_end: 0.1
|
||||
gumbel_tau_start: 1
|
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hidden_dim: 64
|
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lambda_balance: 0
|
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lambda_entropy: 0
|
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lambda_proc: 0
|
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learn_centers: true
|
||||
learn_temperature: false
|
||||
learn_width: false
|
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n_experts: 4
|
||||
temperature: 0.5
|
||||
type: energy
|
||||
width_max_ratio: 10
|
||||
width_min_ratio: 0.1
|
||||
trunk:
|
||||
block_conditioning: add
|
||||
type: resmlp
|
||||
wgan:
|
||||
critic_hidden_dim: 0
|
||||
critic_lr: 0
|
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critic_n_res_blocks: 0
|
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gp_weight: 10
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n_critic: 5
|
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noise_dim: 64
|
||||
stage2_model:
|
||||
active: true
|
||||
autoregressive:
|
||||
attn_n_heads: 4
|
||||
attn_n_layers: 2
|
||||
history: markov
|
||||
order: energy_desc
|
||||
teacher_forcing: always
|
||||
tf_p_end: 1
|
||||
tf_p_start: 1
|
||||
context_dim: 64
|
||||
ctx_p_end: 0
|
||||
ctx_p_start: 1
|
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ddpm:
|
||||
n_steps: 1000
|
||||
time_dim: 64
|
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decoder: one_shot
|
||||
dropout: 0
|
||||
flow:
|
||||
time_dim: 64
|
||||
freeze: false
|
||||
generator: wgan
|
||||
heads:
|
||||
n_sec:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
type:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
hidden_dim: 16
|
||||
init_from: ""
|
||||
k_max: 15
|
||||
lambda: 1
|
||||
n_res_blocks: 1
|
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n_sec:
|
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lambda: 0.1
|
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mode: head
|
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owner: stage2
|
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stop_sampling: greedy
|
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particle_type:
|
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class_weighting: none
|
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lambda: 1
|
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n_classes: 0
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other_policy: sample
|
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target: physical
|
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router:
|
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emb_dim: 8
|
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enabled: false
|
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gumbel: false
|
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gumbel_tau_end: 0.1
|
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gumbel_tau_start: 1
|
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hidden_dim: 64
|
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lambda_balance: 0
|
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lambda_entropy: 0
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lambda_proc: 0
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learn_centers: true
|
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learn_temperature: false
|
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learn_width: false
|
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n_experts: 4
|
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temperature: 0.5
|
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tie_to_stage1: false
|
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type: energy
|
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width_max_ratio: 10
|
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width_min_ratio: 0.1
|
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stage1_context: truth
|
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trunk:
|
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block_conditioning: add
|
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type: resmlp
|
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wgan:
|
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critic_hidden_dim: 0
|
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critic_lr: 0
|
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critic_n_res_blocks: 0
|
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gp_weight: 10
|
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gumbel_tau_end: 0.1
|
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gumbel_tau_start: 1
|
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n_critic: 5
|
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noise_dim: 64
|
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param_counts:
|
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value:
|
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stage1: 26409
|
||||
stage2: 54162
|
||||
total: 80571
|
||||
stage1_model:
|
||||
value:
|
||||
active: true
|
||||
ddpm:
|
||||
n_steps: 1000
|
||||
time_dim: 64
|
||||
dropout: 0
|
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flow:
|
||||
time_dim: 64
|
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freeze: false
|
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generator: flow
|
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heads:
|
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n_sec:
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depth: 2
|
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hidden_ratio: 0.5
|
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hidden_dim: 16
|
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init_from: ""
|
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lambda: 1
|
||||
n_res_blocks: 1
|
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router:
|
||||
emb_dim: 8
|
||||
enabled: false
|
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gumbel: false
|
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gumbel_tau_end: 0.1
|
||||
gumbel_tau_start: 1
|
||||
hidden_dim: 64
|
||||
lambda_balance: 0
|
||||
lambda_entropy: 0
|
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lambda_proc: 0
|
||||
learn_centers: true
|
||||
learn_temperature: false
|
||||
learn_width: false
|
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n_experts: 4
|
||||
temperature: 0.5
|
||||
type: energy
|
||||
width_max_ratio: 10
|
||||
width_min_ratio: 0.1
|
||||
trunk:
|
||||
block_conditioning: add
|
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type: resmlp
|
||||
wgan:
|
||||
critic_hidden_dim: 0
|
||||
critic_lr: 0
|
||||
critic_n_res_blocks: 0
|
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gp_weight: 10
|
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n_critic: 5
|
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noise_dim: 64
|
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stage2_model:
|
||||
value:
|
||||
active: true
|
||||
autoregressive:
|
||||
attn_n_heads: 4
|
||||
attn_n_layers: 2
|
||||
history: markov
|
||||
order: energy_desc
|
||||
teacher_forcing: always
|
||||
tf_p_end: 1
|
||||
tf_p_start: 1
|
||||
context_dim: 64
|
||||
ctx_p_end: 0
|
||||
ctx_p_start: 1
|
||||
ddpm:
|
||||
n_steps: 1000
|
||||
time_dim: 64
|
||||
decoder: one_shot
|
||||
dropout: 0
|
||||
flow:
|
||||
time_dim: 64
|
||||
freeze: false
|
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generator: wgan
|
||||
heads:
|
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n_sec:
|
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depth: 2
|
||||
hidden_ratio: 0.5
|
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type:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
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hidden_dim: 16
|
||||
init_from: ""
|
||||
k_max: 15
|
||||
lambda: 1
|
||||
n_res_blocks: 1
|
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n_sec:
|
||||
lambda: 0.1
|
||||
mode: head
|
||||
owner: stage2
|
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stop_sampling: greedy
|
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particle_type:
|
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class_weighting: none
|
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lambda: 1
|
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n_classes: 0
|
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other_policy: sample
|
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target: physical
|
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router:
|
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emb_dim: 8
|
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enabled: false
|
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gumbel: false
|
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gumbel_tau_end: 0.1
|
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gumbel_tau_start: 1
|
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hidden_dim: 64
|
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lambda_balance: 0
|
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lambda_entropy: 0
|
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lambda_proc: 0
|
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learn_centers: true
|
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learn_temperature: false
|
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learn_width: false
|
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n_experts: 4
|
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temperature: 0.5
|
||||
tie_to_stage1: false
|
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type: energy
|
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width_max_ratio: 10
|
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width_min_ratio: 0.1
|
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stage1_context: truth
|
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trunk:
|
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block_conditioning: add
|
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type: resmlp
|
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wgan:
|
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critic_hidden_dim: 0
|
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critic_lr: 0
|
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critic_n_res_blocks: 0
|
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gp_weight: 10
|
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gumbel_tau_end: 0.1
|
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gumbel_tau_start: 1
|
||||
n_critic: 5
|
||||
noise_dim: 64
|
||||
train:
|
||||
value:
|
||||
batch_size: 32
|
||||
ema_decay: 0.9999
|
||||
epochs: 1
|
||||
lr: 0.0003
|
||||
max_val_batches: 200
|
||||
num_workers: 4
|
||||
precision: fp32
|
||||
seed: 0
|
||||
val_fraction: 0.1
|
||||
validate_every: 0
|
||||
validate_steps: 10
|
||||
wandb: true
|
||||
wandb_log_every: 50
|
||||
wandb_project: giant
|
||||
wandb_run_name: ""
|
||||
warmup_epochs: 5
|
||||
weight_decay: 0.01
|
||||
@@ -0,0 +1,43 @@
|
||||
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.2344 1.1637 1.0464 15.1834
|
||||
edep_logit 0.1038 -0.0389 0.9154 1.2521 12.7509
|
||||
sec_logit -0.0401 -0.3063 0.9973 1.3948 12.8780
|
||||
post_dx -0.1144 0.2365 0.8849 1.4247 14.0754
|
||||
post_dy 0.1969 -0.0502 0.9479 0.5923 12.7509
|
||||
post_dz 0.1798 -0.0799 1.1660 0.9817 10.4483
|
||||
travel_dx 0.0000 0.2248 0.0000 0.9969 21.1933
|
||||
travel_dy 0.0000 -0.4027 0.0000 1.0107 21.1933
|
||||
travel_dz 0.0000 0.2537 0.0000 1.1752 2.7726
|
||||
|
||||
n_sec accuracy=0.0000 mean|Δ|=13.0625
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 0.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
||||
3 0.0000 0.0000
|
||||
4 0.0000 0.0000
|
||||
5 0.0000 0.0000
|
||||
6 0.0000 0.0000
|
||||
7 0.0000 0.0000
|
||||
8 0.0000 0.0000
|
||||
9 0.0000 0.0000
|
||||
10 0.0000 0.0000
|
||||
11 0.0000 0.0000
|
||||
12 0.0000 0.0000
|
||||
13 0.0000 0.0000
|
||||
14 0.0000 1.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
0 0.6770 0.4659 0.3354 0.0769 15.9420
|
||||
1 1.0000 0.5398 0.0000 0.0593 21.1933
|
||||
|
||||
sec phys (normalised) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
--------------------------------------------------------------------
|
||||
log_mass 0.1510 0.1224 0.9292 0.3722 13.1985
|
||||
charge -0.1977 -0.0639 0.9295 0.3566 14.5522
|
||||
epoch 1/1 stage1[loss=1.928] stage2[d=7.949 g=-0.053] val 15.5104 0.1s [best]
|
||||
@@ -0,0 +1,122 @@
|
||||
typer==0.26.7
|
||||
python-dateutil==2.9.0.post0
|
||||
six==1.17.0
|
||||
markdown-it-py==4.2.0
|
||||
mdurl==0.1.2
|
||||
annotated-doc==0.0.4
|
||||
shellingham==1.5.4
|
||||
rich==15.0.0
|
||||
Pygments==2.20.0
|
||||
numpy==2.4.6
|
||||
pyarrow==24.0.0
|
||||
pandas==3.0.3
|
||||
tqdm==4.68.3
|
||||
PyYAML==6.0.3
|
||||
packaging==26.2
|
||||
typing_extensions==4.15.0
|
||||
MarkupSafe==3.0.3
|
||||
filelock==3.29.4
|
||||
Jinja2==3.1.6
|
||||
fsspec==2026.6.0
|
||||
mpmath==1.3.0
|
||||
networkx==3.6.1
|
||||
sympy==1.14.0
|
||||
torch==2.3.1+cpu
|
||||
iniconfig==2.3.0
|
||||
pluggy==1.6.0
|
||||
ty==0.0.50
|
||||
ruff==0.15.17
|
||||
pytest==9.1.0
|
||||
polars-runtime-32==1.41.2
|
||||
polars==1.41.2
|
||||
cramjam==2.11.0
|
||||
xxhash==3.7.0
|
||||
awkward_cpp==53
|
||||
uproot==5.7.4
|
||||
awkward==2.9.1
|
||||
ipython_pygments_lexers==1.1.1
|
||||
comm==0.2.3
|
||||
decorator==5.3.1
|
||||
nest-asyncio2==1.7.2
|
||||
stack-data==0.6.3
|
||||
kiwisolver==1.5.0
|
||||
pyparsing==3.3.2
|
||||
platformdirs==4.10.0
|
||||
matplotlib-inline==0.2.2
|
||||
ipykernel==7.3.0
|
||||
jupyter_core==5.9.1
|
||||
ptyprocess==0.7.0
|
||||
pexpect==4.9.0
|
||||
executing==2.2.1
|
||||
psutil==7.2.2
|
||||
asttokens==3.0.1
|
||||
parso==0.8.7
|
||||
wcwidth==0.8.1
|
||||
pure_eval==0.2.3
|
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cycler==0.12.1
|
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jupyter_client==8.9.1
|
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traitlets==5.15.1
|
||||
contourpy==1.3.3
|
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pyzmq==27.1.0
|
||||
tornado==6.5.7
|
||||
pillow==12.2.0
|
||||
prompt_toolkit==3.0.52
|
||||
ipython==9.14.1
|
||||
debugpy==1.8.21
|
||||
fonttools==4.63.0
|
||||
matplotlib==3.11.0
|
||||
jedi==0.20.0
|
||||
threadpoolctl==3.6.0
|
||||
joblib==1.5.3
|
||||
narwhals==2.23.0
|
||||
scikit-learn==1.9.0
|
||||
scipy==1.18.0
|
||||
hepunits==2.4.6
|
||||
attrs==26.1.0
|
||||
particle==1.0.0
|
||||
plotstyle==1.0.0
|
||||
certifi==2026.7.22
|
||||
typing-inspection==0.4.2
|
||||
annotated-types==0.8.0
|
||||
idna==3.18
|
||||
requests==2.34.2
|
||||
click==8.4.2
|
||||
pydantic_core==2.46.4
|
||||
charset-normalizer==3.4.9
|
||||
urllib3==2.7.0
|
||||
protobuf==7.35.1
|
||||
pydantic==2.13.4
|
||||
sentry-sdk==2.66.1
|
||||
wandb==0.28.1
|
||||
pytest-cov==7.1.0
|
||||
coverage==7.15.4
|
||||
tomlkit==0.15.1
|
||||
h11==0.16.0
|
||||
bracex==3.0.1
|
||||
truststore==0.10.4
|
||||
python-dotenv==1.2.3
|
||||
wcmatch==11.0.1
|
||||
questionary==2.1.1
|
||||
git-cliff==2.13.1
|
||||
pydantic-settings==2.15.0
|
||||
rich-click==1.9.8
|
||||
httpx2==2.11.0
|
||||
httpcore2==2.11.0
|
||||
bump-my-version==1.5.1
|
||||
anyio==4.14.2
|
||||
giant==0.3.10
|
||||
parse==1.22.1
|
||||
python-daemon==2.1.2
|
||||
colorama==0.4.6
|
||||
tenacity==8.5.0
|
||||
lockfile==0.12.2
|
||||
webdavclient3==3.14.7
|
||||
cachetools==7.1.7
|
||||
smmap==5.0.3
|
||||
gitdb==4.0.12
|
||||
GitPython==3.1.60
|
||||
b2luigi==1.2.9
|
||||
lxml==6.1.2
|
||||
docutils==0.23
|
||||
luigi==3.7.3
|
||||
setuptools==84.0.0
|
||||
@@ -0,0 +1,36 @@
|
||||
{
|
||||
"os": "Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43",
|
||||
"python": "CPython 3.12.13",
|
||||
"startedAt": "2026-08-26T10:05:47.410749Z",
|
||||
"args": [
|
||||
"--spec",
|
||||
"/tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/smoke.toml",
|
||||
"--workers",
|
||||
"1",
|
||||
"--mode",
|
||||
"run"
|
||||
],
|
||||
"program": "/home/lars/Programming/giant/giant/workflow/run.py",
|
||||
"codePath": "giant/workflow/run.py",
|
||||
"codePathLocal": "giant/workflow/run.py",
|
||||
"git": {
|
||||
"remote": "gitea@git.larsbogner.de:lars/giant.git",
|
||||
"commit": "44edb474b26e0b618419f8f6e4503b0db9926f5c"
|
||||
},
|
||||
"email": "lars.bogner@outlook.de",
|
||||
"root": "/home/lars/Programming/giant",
|
||||
"host": "fedora-thinkpad",
|
||||
"executable": "/home/lars/Programming/giant/.venv/bin/python3",
|
||||
"cpu_count": 8,
|
||||
"cpu_count_logical": 16,
|
||||
"disk": {
|
||||
"/": {
|
||||
"total": "1153673723904",
|
||||
"used": "227085520896"
|
||||
}
|
||||
},
|
||||
"memory": {
|
||||
"total": "15931523072"
|
||||
},
|
||||
"writerId": "or4v6kb1ovc7c03s73xv05tt65ws327p"
|
||||
}
|
||||
@@ -0,0 +1 @@
|
||||
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|
||||
@@ -0,0 +1 @@
|
||||
/home/lars/.cache/wandb/logs/core-debug-20260826_120546.log
|
||||
@@ -0,0 +1,18 @@
|
||||
{"time":"2026-08-26T12:05:47.414587851+02:00","level":"INFO","msg":"wandb-core"}
|
||||
{"time":"2026-08-26T12:05:47.414935095+02:00","level":"INFO","msg":"stream: starting","core version":"0.28.1"}
|
||||
{"time":"2026-08-26T12:05:47.923141233+02:00","level":"INFO","msg":"stream: created new stream","id":"epochs=1"}
|
||||
{"time":"2026-08-26T12:05:47.923253164+02:00","level":"INFO","msg":"handler: started"}
|
||||
{"time":"2026-08-26T12:05:47.923467788+02:00","level":"INFO","msg":"stream: started"}
|
||||
{"time":"2026-08-26T12:05:47.923539674+02:00","level":"INFO","msg":"writer: started","stream_id":"epochs=1"}
|
||||
{"time":"2026-08-26T12:05:47.923572075+02:00","level":"INFO","msg":"sender: started"}
|
||||
{"time":"2026-08-26T12:05:48.630295208+02:00","level":"INFO","msg":"filestream: sending request","total_files":1}
|
||||
{"time":"2026-08-26T12:05:48.852032204+02:00","level":"WARN","msg":"handler: ignoring partial history record","step":5,"current":6}
|
||||
{"time":"2026-08-26T12:05:48.892408959+02:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
||||
{"time":"2026-08-26T12:05:49.850681126+02:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
||||
{"time":"2026-08-26T12:05:49.85086395+02:00","level":"INFO","msg":"filestream: sending request","total_files":2,"console_offset":0,"console_lines":43,"uploaded_len":5,"complete":true,"exit_code":0}
|
||||
{"time":"2026-08-26T12:05:50.327698664+02:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
||||
{"time":"2026-08-26T12:05:50.33054758+02:00","level":"INFO","msg":"handler: operation stats","stats":{}}
|
||||
{"time":"2026-08-26T12:05:50.333447101+02:00","level":"INFO","msg":"stream: finishing up"}
|
||||
{"time":"2026-08-26T12:05:50.333459534+02:00","level":"INFO","msg":"handler: closed"}
|
||||
{"time":"2026-08-26T12:05:50.3335687+02:00","level":"INFO","msg":"sender: closed"}
|
||||
{"time":"2026-08-26T12:05:50.333578639+02:00","level":"INFO","msg":"stream: all finished"}
|
||||
File diff suppressed because one or more lines are too long
Binary file not shown.
@@ -0,0 +1,357 @@
|
||||
_wandb:
|
||||
value:
|
||||
cli_version: 0.28.1
|
||||
e:
|
||||
ynd05oqzkv76t8bkurywxz05ewze50ui:
|
||||
args:
|
||||
- --spec
|
||||
- /tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/smoke.toml
|
||||
- --workers
|
||||
- "1"
|
||||
- --mode
|
||||
- run
|
||||
codePath: giant/workflow/run.py
|
||||
codePathLocal: giant/workflow/run.py
|
||||
cpu_count: 8
|
||||
cpu_count_logical: 16
|
||||
disk:
|
||||
/:
|
||||
total: "1153673723904"
|
||||
used: "227085520896"
|
||||
email: lars.bogner@outlook.de
|
||||
executable: /home/lars/Programming/giant/.venv/bin/python3
|
||||
git:
|
||||
commit: 44edb474b26e0b618419f8f6e4503b0db9926f5c
|
||||
remote: gitea@git.larsbogner.de:lars/giant.git
|
||||
host: fedora-thinkpad
|
||||
memory:
|
||||
total: "15931523072"
|
||||
os: Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43
|
||||
program: /home/lars/Programming/giant/giant/workflow/run.py
|
||||
python: CPython 3.12.13
|
||||
root: /home/lars/Programming/giant
|
||||
startedAt: "2026-08-26T10:05:50.547280Z"
|
||||
writerId: ynd05oqzkv76t8bkurywxz05ewze50ui
|
||||
m: []
|
||||
python_version: 3.12.13
|
||||
t:
|
||||
"1":
|
||||
- 1
|
||||
- 5
|
||||
- 53
|
||||
"2":
|
||||
- 1
|
||||
- 5
|
||||
- 53
|
||||
"3":
|
||||
- 2
|
||||
- 5
|
||||
- 13
|
||||
- 14
|
||||
- 16
|
||||
- 41
|
||||
- 61
|
||||
- 62
|
||||
"4": 3.12.13
|
||||
"5": 0.28.1
|
||||
"12": 0.28.1
|
||||
"13": linux-x86_64
|
||||
conditioning:
|
||||
value:
|
||||
material:
|
||||
emb_dim: 16
|
||||
n_layers: 2
|
||||
type: physical
|
||||
out_dim: 128
|
||||
particle:
|
||||
emb_dim: 16
|
||||
n_layers: 2
|
||||
type: physical
|
||||
share_stages: false
|
||||
model_config:
|
||||
value:
|
||||
conditioning:
|
||||
material:
|
||||
emb_dim: 16
|
||||
n_layers: 2
|
||||
type: physical
|
||||
out_dim: 128
|
||||
particle:
|
||||
emb_dim: 16
|
||||
n_layers: 2
|
||||
type: physical
|
||||
share_stages: false
|
||||
mat_vocab: 2
|
||||
pdg_vocab: 5
|
||||
stage1_model:
|
||||
active: true
|
||||
ddpm:
|
||||
n_steps: 1000
|
||||
time_dim: 64
|
||||
dropout: 0
|
||||
flow:
|
||||
time_dim: 64
|
||||
freeze: false
|
||||
generator: flow
|
||||
heads:
|
||||
n_sec:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
hidden_dim: 16
|
||||
init_from: ""
|
||||
lambda: 1
|
||||
n_res_blocks: 1
|
||||
router:
|
||||
emb_dim: 8
|
||||
enabled: false
|
||||
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|
||||
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|
||||
gumbel_tau_start: 1
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
learn_centers: true
|
||||
learn_temperature: false
|
||||
learn_width: false
|
||||
n_experts: 4
|
||||
temperature: 0.5
|
||||
type: energy
|
||||
width_max_ratio: 10
|
||||
width_min_ratio: 0.1
|
||||
trunk:
|
||||
block_conditioning: add
|
||||
type: resmlp
|
||||
wgan:
|
||||
critic_hidden_dim: 0
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critic_lr: 0
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critic_n_res_blocks: 0
|
||||
gp_weight: 10
|
||||
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|
||||
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|
||||
stage2_model:
|
||||
active: true
|
||||
autoregressive:
|
||||
attn_n_heads: 4
|
||||
attn_n_layers: 2
|
||||
history: markov
|
||||
order: energy_desc
|
||||
teacher_forcing: always
|
||||
tf_p_end: 1
|
||||
tf_p_start: 1
|
||||
context_dim: 64
|
||||
ctx_p_end: 0
|
||||
ctx_p_start: 1
|
||||
ddpm:
|
||||
n_steps: 1000
|
||||
time_dim: 64
|
||||
decoder: one_shot
|
||||
dropout: 0
|
||||
flow:
|
||||
time_dim: 64
|
||||
freeze: false
|
||||
generator: wgan
|
||||
heads:
|
||||
n_sec:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
type:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
hidden_dim: 16
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||||
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|
||||
k_max: 15
|
||||
lambda: 1
|
||||
n_res_blocks: 1
|
||||
n_sec:
|
||||
lambda: 0.1
|
||||
mode: head
|
||||
owner: stage2
|
||||
stop_sampling: greedy
|
||||
particle_type:
|
||||
class_weighting: none
|
||||
lambda: 1
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||||
n_classes: 0
|
||||
other_policy: sample
|
||||
target: physical
|
||||
router:
|
||||
emb_dim: 8
|
||||
enabled: false
|
||||
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|
||||
gumbel_tau_end: 0.1
|
||||
gumbel_tau_start: 1
|
||||
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|
||||
lambda_balance: 0
|
||||
lambda_entropy: 0
|
||||
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||||
learn_centers: true
|
||||
learn_temperature: false
|
||||
learn_width: false
|
||||
n_experts: 4
|
||||
temperature: 0.5
|
||||
tie_to_stage1: false
|
||||
type: energy
|
||||
width_max_ratio: 10
|
||||
width_min_ratio: 0.1
|
||||
stage1_context: truth
|
||||
trunk:
|
||||
block_conditioning: add
|
||||
type: resmlp
|
||||
wgan:
|
||||
critic_hidden_dim: 0
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||||
critic_lr: 0
|
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critic_n_res_blocks: 0
|
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gp_weight: 10
|
||||
gumbel_tau_end: 0.1
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||||
gumbel_tau_start: 1
|
||||
n_critic: 5
|
||||
noise_dim: 64
|
||||
param_counts:
|
||||
value:
|
||||
stage1: 26409
|
||||
stage2: 54162
|
||||
total: 80571
|
||||
stage1_model:
|
||||
value:
|
||||
active: true
|
||||
ddpm:
|
||||
n_steps: 1000
|
||||
time_dim: 64
|
||||
dropout: 0
|
||||
flow:
|
||||
time_dim: 64
|
||||
freeze: false
|
||||
generator: flow
|
||||
heads:
|
||||
n_sec:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
hidden_dim: 16
|
||||
init_from: ""
|
||||
lambda: 1
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||||
n_res_blocks: 1
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||||
router:
|
||||
emb_dim: 8
|
||||
enabled: false
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gumbel: false
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gumbel_tau_end: 0.1
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||||
gumbel_tau_start: 1
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hidden_dim: 64
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lambda_entropy: 0
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lambda_proc: 0
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learn_centers: true
|
||||
learn_temperature: false
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learn_width: false
|
||||
n_experts: 4
|
||||
temperature: 0.5
|
||||
type: energy
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||||
width_max_ratio: 10
|
||||
width_min_ratio: 0.1
|
||||
trunk:
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block_conditioning: add
|
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type: resmlp
|
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wgan:
|
||||
critic_hidden_dim: 0
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critic_lr: 0
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critic_n_res_blocks: 0
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gp_weight: 10
|
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n_critic: 5
|
||||
noise_dim: 64
|
||||
stage2_model:
|
||||
value:
|
||||
active: true
|
||||
autoregressive:
|
||||
attn_n_heads: 4
|
||||
attn_n_layers: 2
|
||||
history: markov
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||||
order: energy_desc
|
||||
teacher_forcing: always
|
||||
tf_p_end: 1
|
||||
tf_p_start: 1
|
||||
context_dim: 64
|
||||
ctx_p_end: 0
|
||||
ctx_p_start: 1
|
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ddpm:
|
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n_steps: 1000
|
||||
time_dim: 64
|
||||
decoder: one_shot
|
||||
dropout: 0
|
||||
flow:
|
||||
time_dim: 64
|
||||
freeze: false
|
||||
generator: wgan
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heads:
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n_sec:
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||||
depth: 2
|
||||
hidden_ratio: 0.5
|
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type:
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||||
depth: 2
|
||||
hidden_ratio: 0.5
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hidden_dim: 16
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init_from: ""
|
||||
k_max: 15
|
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lambda: 1
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||||
n_res_blocks: 1
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||||
n_sec:
|
||||
lambda: 0.1
|
||||
mode: head
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||||
owner: stage2
|
||||
stop_sampling: greedy
|
||||
particle_type:
|
||||
class_weighting: none
|
||||
lambda: 1
|
||||
n_classes: 0
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||||
other_policy: sample
|
||||
target: physical
|
||||
router:
|
||||
emb_dim: 8
|
||||
enabled: false
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||||
gumbel: false
|
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gumbel_tau_end: 0.1
|
||||
gumbel_tau_start: 1
|
||||
hidden_dim: 64
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lambda_balance: 0
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lambda_entropy: 0
|
||||
lambda_proc: 0
|
||||
learn_centers: true
|
||||
learn_temperature: false
|
||||
learn_width: false
|
||||
n_experts: 4
|
||||
temperature: 0.5
|
||||
tie_to_stage1: false
|
||||
type: energy
|
||||
width_max_ratio: 10
|
||||
width_min_ratio: 0.1
|
||||
stage1_context: truth
|
||||
trunk:
|
||||
block_conditioning: add
|
||||
type: resmlp
|
||||
wgan:
|
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critic_hidden_dim: 0
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critic_lr: 0
|
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critic_n_res_blocks: 0
|
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gp_weight: 10
|
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gumbel_tau_end: 0.1
|
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gumbel_tau_start: 1
|
||||
n_critic: 5
|
||||
noise_dim: 64
|
||||
train:
|
||||
value:
|
||||
batch_size: 32
|
||||
ema_decay: 0.9999
|
||||
epochs: 2
|
||||
lr: 0.0003
|
||||
max_val_batches: 200
|
||||
num_workers: 4
|
||||
precision: fp32
|
||||
seed: 0
|
||||
val_fraction: 0.1
|
||||
validate_every: 0
|
||||
validate_steps: 10
|
||||
wandb: true
|
||||
wandb_log_every: 50
|
||||
wandb_project: giant
|
||||
wandb_run_name: ""
|
||||
warmup_epochs: 5
|
||||
weight_decay: 0.01
|
||||
@@ -0,0 +1,43 @@
|
||||
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.0388 1.1637 1.2439 10.6216
|
||||
edep_logit 0.1038 -0.5505 0.9154 0.7483 17.2694
|
||||
sec_logit -0.0401 -0.0553 0.9973 1.6806 19.7732
|
||||
post_dx -0.1144 0.0491 0.8849 1.0873 15.2701
|
||||
post_dy 0.1969 0.0061 0.9479 0.6886 16.1614
|
||||
post_dz 0.1798 -0.1587 1.1660 0.9523 11.5562
|
||||
travel_dx 0.0000 0.3628 0.0000 0.8803 2.0794
|
||||
travel_dy 0.0000 -0.3038 0.0000 0.7700 21.1933
|
||||
travel_dz 0.0000 0.2912 0.0000 1.2252 21.1933
|
||||
|
||||
n_sec accuracy=0.0000 mean|Δ|=13.0625
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 0.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
||||
3 0.0000 0.0000
|
||||
4 0.0000 0.0000
|
||||
5 0.0000 0.0000
|
||||
6 0.0000 0.0000
|
||||
7 0.0000 0.0000
|
||||
8 0.0000 0.0000
|
||||
9 0.0000 0.0000
|
||||
10 0.0000 0.0000
|
||||
11 0.0000 0.0000
|
||||
12 0.0000 0.0000
|
||||
13 0.0000 0.0000
|
||||
14 0.0000 1.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
0 0.6770 0.4527 0.3354 0.0734 15.9014
|
||||
1 1.0000 0.5292 0.0000 0.0895 21.1933
|
||||
|
||||
sec phys (normalised) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
--------------------------------------------------------------------
|
||||
log_mass 0.1510 0.1453 0.9292 0.3858 4.7211
|
||||
charge -0.1977 -0.0492 0.9295 0.3317 14.4793
|
||||
epoch 2/2 stage1[loss=1.779] stage2[d=7.789 g=-0.044] val 16.9971 0.1s
|
||||
@@ -0,0 +1,122 @@
|
||||
typer==0.26.7
|
||||
python-dateutil==2.9.0.post0
|
||||
six==1.17.0
|
||||
markdown-it-py==4.2.0
|
||||
mdurl==0.1.2
|
||||
annotated-doc==0.0.4
|
||||
shellingham==1.5.4
|
||||
rich==15.0.0
|
||||
Pygments==2.20.0
|
||||
numpy==2.4.6
|
||||
pyarrow==24.0.0
|
||||
pandas==3.0.3
|
||||
tqdm==4.68.3
|
||||
PyYAML==6.0.3
|
||||
packaging==26.2
|
||||
typing_extensions==4.15.0
|
||||
MarkupSafe==3.0.3
|
||||
filelock==3.29.4
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critic_lr: 0
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critic_n_res_blocks: 0
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gp_weight: 10
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n_critic: 5
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noise_dim: 64
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stage2_model:
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value:
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active: true
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autoregressive:
|
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attn_n_heads: 4
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attn_n_layers: 2
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||||
history: markov
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order: energy_desc
|
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teacher_forcing: always
|
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tf_p_end: 1
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tf_p_start: 1
|
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context_dim: 64
|
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ctx_p_end: 0
|
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ctx_p_start: 1
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ddpm:
|
||||
n_steps: 1000
|
||||
time_dim: 64
|
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decoder: one_shot
|
||||
dropout: 0
|
||||
flow:
|
||||
time_dim: 64
|
||||
freeze: false
|
||||
generator: wgan
|
||||
heads:
|
||||
n_sec:
|
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depth: 2
|
||||
hidden_ratio: 0.5
|
||||
type:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
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hidden_dim: 16
|
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init_from: ""
|
||||
k_max: 15
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lambda: 1
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n_res_blocks: 1
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n_sec:
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lambda: 0.1
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mode: head
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owner: stage2
|
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stop_sampling: greedy
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particle_type:
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class_weighting: none
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lambda: 1
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n_classes: 0
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other_policy: sample
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target: physical
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router:
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emb_dim: 8
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enabled: false
|
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gumbel: false
|
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gumbel_tau_end: 0.1
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gumbel_tau_start: 1
|
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hidden_dim: 64
|
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lambda_balance: 0
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lambda_entropy: 0
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lambda_proc: 0
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learn_centers: true
|
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learn_temperature: false
|
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learn_width: false
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n_experts: 4
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temperature: 0.5
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tie_to_stage1: false
|
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type: energy
|
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width_max_ratio: 10
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width_min_ratio: 0.1
|
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stage1_context: truth
|
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trunk:
|
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block_conditioning: add
|
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type: resmlp
|
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wgan:
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critic_hidden_dim: 0
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critic_lr: 0
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critic_n_res_blocks: 0
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gp_weight: 10
|
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gumbel_tau_end: 0.1
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gumbel_tau_start: 1
|
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n_critic: 5
|
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noise_dim: 64
|
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train:
|
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value:
|
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batch_size: 32
|
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ema_decay: 0.9999
|
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epochs: 3
|
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lr: 0.0003
|
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max_val_batches: 200
|
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num_workers: 4
|
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precision: fp32
|
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seed: 0
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val_fraction: 0.1
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validate_every: 0
|
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validate_steps: 10
|
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wandb: true
|
||||
wandb_log_every: 50
|
||||
wandb_project: giant
|
||||
wandb_run_name: ""
|
||||
warmup_epochs: 5
|
||||
weight_decay: 0.01
|
||||
@@ -0,0 +1,43 @@
|
||||
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.6230 1.1637 1.2241 16.2914
|
||||
edep_logit 0.1038 0.5304 0.9154 1.1436 11.6862
|
||||
sec_logit -0.0401 -0.3349 0.9973 1.2312 16.0983
|
||||
post_dx -0.1144 0.6235 0.8849 1.3231 15.1834
|
||||
post_dy 0.1969 -0.1217 0.9479 1.0335 12.8375
|
||||
post_dz 0.1798 -0.5140 1.1660 0.6126 15.0968
|
||||
travel_dx 0.0000 0.3038 0.0000 0.9044 2.0794
|
||||
travel_dy 0.0000 -0.4919 0.0000 0.6814 21.1933
|
||||
travel_dz 0.0000 0.1689 0.0000 1.1528 2.0794
|
||||
|
||||
n_sec accuracy=0.0000 mean|Δ|=13.0625
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 0.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
||||
3 0.0000 0.0000
|
||||
4 0.0000 0.0000
|
||||
5 0.0000 0.0000
|
||||
6 0.0000 0.0000
|
||||
7 0.0000 0.0000
|
||||
8 0.0000 0.0000
|
||||
9 0.0000 0.0000
|
||||
10 0.0000 0.0000
|
||||
11 0.0000 0.0000
|
||||
12 0.0000 0.0000
|
||||
13 0.0000 0.0000
|
||||
14 0.0000 1.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
0 0.6770 0.4632 0.3354 0.0574 14.1692
|
||||
1 1.0000 0.5308 0.0000 0.0671 21.1933
|
||||
|
||||
sec phys (normalised) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
--------------------------------------------------------------------
|
||||
log_mass 0.1510 0.1370 0.9292 0.3398 5.1594
|
||||
charge -0.1977 -0.0405 0.9295 0.3401 5.9980
|
||||
epoch 3/3 stage1[loss=1.841] stage2[d=7.351 g=-0.045] val 14.5286 0.1s [best]
|
||||
@@ -0,0 +1,122 @@
|
||||
typer==0.26.7
|
||||
python-dateutil==2.9.0.post0
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six==1.17.0
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markdown-it-py==4.2.0
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mdurl==0.1.2
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annotated-doc==0.0.4
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shellingham==1.5.4
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rich==15.0.0
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Pygments==2.20.0
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numpy==2.4.6
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pyarrow==24.0.0
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pandas==3.0.3
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tqdm==4.68.3
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PyYAML==6.0.3
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packaging==26.2
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typing_extensions==4.15.0
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MarkupSafe==3.0.3
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filelock==3.29.4
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Jinja2==3.1.6
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fsspec==2026.6.0
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mpmath==1.3.0
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networkx==3.6.1
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sympy==1.14.0
|
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torch==2.3.1+cpu
|
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iniconfig==2.3.0
|
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pluggy==1.6.0
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ty==0.0.50
|
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ruff==0.15.17
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pytest==9.1.0
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polars-runtime-32==1.41.2
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polars==1.41.2
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xxhash==3.7.0
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awkward_cpp==53
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uproot==5.7.4
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awkward==2.9.1
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ipython_pygments_lexers==1.1.1
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comm==0.2.3
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decorator==5.3.1
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nest-asyncio2==1.7.2
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stack-data==0.6.3
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kiwisolver==1.5.0
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pyparsing==3.3.2
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platformdirs==4.10.0
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matplotlib-inline==0.2.2
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ipykernel==7.3.0
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jupyter_core==5.9.1
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ptyprocess==0.7.0
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pexpect==4.9.0
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executing==2.2.1
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psutil==7.2.2
|
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asttokens==3.0.1
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parso==0.8.7
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wcwidth==0.8.1
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pure_eval==0.2.3
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cycler==0.12.1
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jupyter_client==8.9.1
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traitlets==5.15.1
|
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contourpy==1.3.3
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pyzmq==27.1.0
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tornado==6.5.7
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pillow==12.2.0
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prompt_toolkit==3.0.52
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ipython==9.14.1
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debugpy==1.8.21
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fonttools==4.63.0
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matplotlib==3.11.0
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jedi==0.20.0
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threadpoolctl==3.6.0
|
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joblib==1.5.3
|
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narwhals==2.23.0
|
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scikit-learn==1.9.0
|
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scipy==1.18.0
|
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hepunits==2.4.6
|
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attrs==26.1.0
|
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particle==1.0.0
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plotstyle==1.0.0
|
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certifi==2026.7.22
|
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typing-inspection==0.4.2
|
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annotated-types==0.8.0
|
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idna==3.18
|
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requests==2.34.2
|
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click==8.4.2
|
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pydantic_core==2.46.4
|
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charset-normalizer==3.4.9
|
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urllib3==2.7.0
|
||||
protobuf==7.35.1
|
||||
pydantic==2.13.4
|
||||
sentry-sdk==2.66.1
|
||||
wandb==0.28.1
|
||||
pytest-cov==7.1.0
|
||||
coverage==7.15.4
|
||||
tomlkit==0.15.1
|
||||
h11==0.16.0
|
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bracex==3.0.1
|
||||
truststore==0.10.4
|
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python-dotenv==1.2.3
|
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wcmatch==11.0.1
|
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questionary==2.1.1
|
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git-cliff==2.13.1
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pydantic-settings==2.15.0
|
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rich-click==1.9.8
|
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httpx2==2.11.0
|
||||
httpcore2==2.11.0
|
||||
bump-my-version==1.5.1
|
||||
anyio==4.14.2
|
||||
giant==0.3.10
|
||||
parse==1.22.1
|
||||
python-daemon==2.1.2
|
||||
colorama==0.4.6
|
||||
tenacity==8.5.0
|
||||
lockfile==0.12.2
|
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webdavclient3==3.14.7
|
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cachetools==7.1.7
|
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smmap==5.0.3
|
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gitdb==4.0.12
|
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GitPython==3.1.60
|
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b2luigi==1.2.9
|
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lxml==6.1.2
|
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docutils==0.23
|
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luigi==3.7.3
|
||||
setuptools==84.0.0
|
||||
@@ -0,0 +1,36 @@
|
||||
{
|
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"os": "Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43",
|
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"python": "CPython 3.12.13",
|
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"startedAt": "2026-08-26T10:05:53.599572Z",
|
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"args": [
|
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"--spec",
|
||||
"/tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/smoke.toml",
|
||||
"--workers",
|
||||
"1",
|
||||
"--mode",
|
||||
"run"
|
||||
],
|
||||
"program": "/home/lars/Programming/giant/giant/workflow/run.py",
|
||||
"codePath": "giant/workflow/run.py",
|
||||
"codePathLocal": "giant/workflow/run.py",
|
||||
"git": {
|
||||
"remote": "gitea@git.larsbogner.de:lars/giant.git",
|
||||
"commit": "44edb474b26e0b618419f8f6e4503b0db9926f5c"
|
||||
},
|
||||
"email": "lars.bogner@outlook.de",
|
||||
"root": "/home/lars/Programming/giant",
|
||||
"host": "fedora-thinkpad",
|
||||
"executable": "/home/lars/Programming/giant/.venv/bin/python3",
|
||||
"cpu_count": 8,
|
||||
"cpu_count_logical": 16,
|
||||
"disk": {
|
||||
"/": {
|
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"total": "1153673723904",
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"used": "227085520896"
|
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}
|
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},
|
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"memory": {
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||||
"writerId": "sz38z114u2tfxdjzg1mag2rs2va1luwi"
|
||||
}
|
||||
@@ -0,0 +1 @@
|
||||
{"stage2/train/wasserstein":-0.00959531486706626,"stage1/train/loss_balance":0,"_step":15,"stage1/train/grad_norm":0.73869278197898,"samples_per_sec":1142.7341743723402,"stage1/val/type_acc":0,"gpu_mem_mb":0,"stage2/train/nsec_acc":0.36090225575113655,"_wandb":{"runtime":0},"stage1/train/loss_proc":0,"stage2/train/loss_stop":0,"stage2/train/d_loss":4.57250355957146,"stage1/lr":0.00024,"stage2/train/g_loss":-0.02378324099949428,"_wandb.runtime":0,"stage2/train/grad_norm_type_slice":0.008421143194786589,"stage1/train/type_acc":0,"val/marginal_kl":15.535483727944827,"epoch_time_s":0.11638752299768385,"stage1/val/loss":1.8279871940612793,"stage1/train/loss_nsec":0,"stage1/train/loss_gen":1.894191010554034,"grad_norm":30.918668481052144,"_timestamp":1.7877384480070157e+09,"stage1/val/loss_gen":1.8279871940612793,"stage1/val/loss_type":0,"epoch":3,"val/loss":17.36347092200611,"stage2/train/loss_nsec":2.600247922696566,"_runtime":0,"stage1/val/nsec_acc":0,"stage1/train/loss":1.894191010554034,"stage2/train/grad_norm_d":30.059515745119946,"stage2/train/gp_loss":0.45629081242066577,"stage1/train/loss_type":0,"stage1/train/stop_acc":0,"stage2/train/stop_acc":0,"stage2/train/grad_norm_g":0.12045995395322492,"stage2/critic_lr":0.0003,"stage1/val/loss_stop":0,"stage1/train/loss_entropy":0,"stage1/train/loss_stop":0,"is_best":1,"stage1/val/loss_nsec":0,"stage1/val/stop_acc":0,"stage1/train/nsec_acc":0,"stage2/lr":0.00024,"stage2/train/grad_norm_cont_slice":0.008100892368115876}
|
||||
@@ -0,0 +1 @@
|
||||
/home/lars/.cache/wandb/logs/core-debug-20260826_120546.log
|
||||
@@ -0,0 +1,20 @@
|
||||
{"time":"2026-08-26T12:05:53.603583703+02:00","level":"INFO","msg":"wandb-core"}
|
||||
{"time":"2026-08-26T12:05:53.603765495+02:00","level":"INFO","msg":"stream: starting","core version":"0.28.1"}
|
||||
{"time":"2026-08-26T12:05:54.111493133+02:00","level":"INFO","msg":"stream: created new stream","id":"epochs=3"}
|
||||
{"time":"2026-08-26T12:05:54.111600906+02:00","level":"INFO","msg":"handler: started"}
|
||||
{"time":"2026-08-26T12:05:54.111828224+02:00","level":"INFO","msg":"stream: started"}
|
||||
{"time":"2026-08-26T12:05:54.111882476+02:00","level":"INFO","msg":"writer: started","stream_id":"epochs=3"}
|
||||
{"time":"2026-08-26T12:05:54.11194287+02:00","level":"INFO","msg":"sender: started"}
|
||||
{"time":"2026-08-26T12:05:54.76967823+02:00","level":"INFO","msg":"filestream: sending request","total_files":1}
|
||||
{"time":"2026-08-26T12:05:54.967116392+02:00","level":"INFO","msg":"flowcontrol: backed up, offloading to disk","recordNumber":59}
|
||||
{"time":"2026-08-26T12:05:54.96800731+02:00","level":"INFO","msg":"flowcontrol: unblocked","totalOffloaded":29}
|
||||
{"time":"2026-08-26T12:05:54.969172244+02:00","level":"WARN","msg":"handler: ignoring partial history record","step":15,"current":16}
|
||||
{"time":"2026-08-26T12:05:55.33582325+02:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
||||
{"time":"2026-08-26T12:05:55.872460505+02:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
||||
{"time":"2026-08-26T12:05:55.872862052+02:00","level":"INFO","msg":"filestream: sending request","total_files":2,"console_offset":0,"console_lines":43,"uploaded_len":5,"complete":true,"exit_code":0}
|
||||
{"time":"2026-08-26T12:05:56.326116675+02:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
||||
{"time":"2026-08-26T12:05:56.327601001+02:00","level":"INFO","msg":"handler: operation stats","stats":{}}
|
||||
{"time":"2026-08-26T12:05:56.33054197+02:00","level":"INFO","msg":"stream: finishing up"}
|
||||
{"time":"2026-08-26T12:05:56.330557449+02:00","level":"INFO","msg":"handler: closed"}
|
||||
{"time":"2026-08-26T12:05:56.330602734+02:00","level":"INFO","msg":"sender: closed"}
|
||||
{"time":"2026-08-26T12:05:56.330608776+02:00","level":"INFO","msg":"stream: all finished"}
|
||||
File diff suppressed because one or more lines are too long
Binary file not shown.
@@ -0,0 +1,368 @@
|
||||
_wandb:
|
||||
value:
|
||||
cli_version: 0.28.1
|
||||
e:
|
||||
03u890h8ay2x9warl6313brxq8q7ckxj:
|
||||
args:
|
||||
- train
|
||||
- /tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/data/train.parquet
|
||||
- --config
|
||||
- /tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/tiny.toml
|
||||
- --epochs
|
||||
- "3"
|
||||
- --hidden-dim
|
||||
- "16"
|
||||
- --n-blocks
|
||||
- "1"
|
||||
- --batch-size
|
||||
- "32"
|
||||
- --stage2-hidden-dim
|
||||
- "16"
|
||||
- --stage2-n-res-blocks
|
||||
- "1"
|
||||
- --num-workers
|
||||
- "0"
|
||||
- --device
|
||||
- cpu
|
||||
- --out
|
||||
- /tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/single
|
||||
codePath: .venv/bin/giant
|
||||
codePathLocal: .venv/bin/giant
|
||||
cpu_count: 8
|
||||
cpu_count_logical: 16
|
||||
disk:
|
||||
/:
|
||||
total: "1153673723904"
|
||||
used: "227095486464"
|
||||
email: lars.bogner@outlook.de
|
||||
executable: /home/lars/Programming/giant/.venv/bin/python3
|
||||
git:
|
||||
commit: 44edb474b26e0b618419f8f6e4503b0db9926f5c
|
||||
remote: gitea@git.larsbogner.de:lars/giant.git
|
||||
host: fedora-thinkpad
|
||||
memory:
|
||||
total: "15931523072"
|
||||
os: Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43
|
||||
program: /home/lars/Programming/giant/.venv/bin/giant
|
||||
python: CPython 3.12.13
|
||||
root: /home/lars/Programming/giant
|
||||
startedAt: "2026-08-26T10:06:46.248455Z"
|
||||
writerId: 03u890h8ay2x9warl6313brxq8q7ckxj
|
||||
m: []
|
||||
python_version: 3.12.13
|
||||
t:
|
||||
"1":
|
||||
- 1
|
||||
"2":
|
||||
- 1
|
||||
"3":
|
||||
- 2
|
||||
- 5
|
||||
- 13
|
||||
- 14
|
||||
- 16
|
||||
- 61
|
||||
- 62
|
||||
"4": 3.12.13
|
||||
"5": 0.28.1
|
||||
"12": 0.28.1
|
||||
"13": linux-x86_64
|
||||
conditioning:
|
||||
value:
|
||||
material:
|
||||
emb_dim: 16
|
||||
n_layers: 2
|
||||
type: physical
|
||||
out_dim: 128
|
||||
particle:
|
||||
emb_dim: 16
|
||||
n_layers: 2
|
||||
type: physical
|
||||
share_stages: false
|
||||
model_config:
|
||||
value:
|
||||
conditioning:
|
||||
material:
|
||||
emb_dim: 16
|
||||
n_layers: 2
|
||||
type: physical
|
||||
out_dim: 128
|
||||
particle:
|
||||
emb_dim: 16
|
||||
n_layers: 2
|
||||
type: physical
|
||||
share_stages: false
|
||||
mat_vocab: 2
|
||||
pdg_vocab: 5
|
||||
stage1_model:
|
||||
active: true
|
||||
ddpm:
|
||||
n_steps: 1000
|
||||
time_dim: 64
|
||||
dropout: 0
|
||||
flow:
|
||||
time_dim: 64
|
||||
freeze: false
|
||||
generator: flow
|
||||
heads:
|
||||
n_sec:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
hidden_dim: 16
|
||||
init_from: ""
|
||||
lambda: 1
|
||||
n_res_blocks: 1
|
||||
router:
|
||||
emb_dim: 8
|
||||
enabled: false
|
||||
gumbel: false
|
||||
gumbel_tau_end: 0.1
|
||||
gumbel_tau_start: 1
|
||||
hidden_dim: 64
|
||||
lambda_balance: 0
|
||||
lambda_entropy: 0
|
||||
lambda_proc: 0
|
||||
learn_centers: true
|
||||
learn_temperature: false
|
||||
learn_width: false
|
||||
n_experts: 4
|
||||
temperature: 0.5
|
||||
type: energy
|
||||
width_max_ratio: 10
|
||||
width_min_ratio: 0.1
|
||||
trunk:
|
||||
block_conditioning: add
|
||||
type: resmlp
|
||||
wgan:
|
||||
critic_hidden_dim: 0
|
||||
critic_lr: 0
|
||||
critic_n_res_blocks: 0
|
||||
gp_weight: 10
|
||||
n_critic: 5
|
||||
noise_dim: 64
|
||||
stage2_model:
|
||||
active: true
|
||||
autoregressive:
|
||||
attn_n_heads: 4
|
||||
attn_n_layers: 2
|
||||
history: markov
|
||||
order: energy_desc
|
||||
teacher_forcing: always
|
||||
tf_p_end: 1
|
||||
tf_p_start: 1
|
||||
context_dim: 64
|
||||
ctx_p_end: 0
|
||||
ctx_p_start: 1
|
||||
ddpm:
|
||||
n_steps: 1000
|
||||
time_dim: 64
|
||||
decoder: one_shot
|
||||
dropout: 0
|
||||
flow:
|
||||
time_dim: 64
|
||||
freeze: false
|
||||
generator: wgan
|
||||
heads:
|
||||
n_sec:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
type:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
hidden_dim: 16
|
||||
init_from: ""
|
||||
k_max: 15
|
||||
lambda: 1
|
||||
n_res_blocks: 1
|
||||
n_sec:
|
||||
lambda: 0.1
|
||||
mode: head
|
||||
owner: stage2
|
||||
stop_sampling: greedy
|
||||
particle_type:
|
||||
class_weighting: none
|
||||
lambda: 1
|
||||
n_classes: 0
|
||||
other_policy: sample
|
||||
target: physical
|
||||
router:
|
||||
emb_dim: 8
|
||||
enabled: false
|
||||
gumbel: false
|
||||
gumbel_tau_end: 0.1
|
||||
gumbel_tau_start: 1
|
||||
hidden_dim: 64
|
||||
lambda_balance: 0
|
||||
lambda_entropy: 0
|
||||
lambda_proc: 0
|
||||
learn_centers: true
|
||||
learn_temperature: false
|
||||
learn_width: false
|
||||
n_experts: 4
|
||||
temperature: 0.5
|
||||
tie_to_stage1: false
|
||||
type: energy
|
||||
width_max_ratio: 10
|
||||
width_min_ratio: 0.1
|
||||
stage1_context: truth
|
||||
trunk:
|
||||
block_conditioning: add
|
||||
type: resmlp
|
||||
wgan:
|
||||
critic_hidden_dim: 0
|
||||
critic_lr: 0
|
||||
critic_n_res_blocks: 0
|
||||
gp_weight: 10
|
||||
gumbel_tau_end: 0.1
|
||||
gumbel_tau_start: 1
|
||||
n_critic: 5
|
||||
noise_dim: 64
|
||||
param_counts:
|
||||
value:
|
||||
stage1: 26409
|
||||
stage2: 54162
|
||||
total: 80571
|
||||
stage1_model:
|
||||
value:
|
||||
active: true
|
||||
ddpm:
|
||||
n_steps: 1000
|
||||
time_dim: 64
|
||||
dropout: 0
|
||||
flow:
|
||||
time_dim: 64
|
||||
freeze: false
|
||||
generator: flow
|
||||
heads:
|
||||
n_sec:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
hidden_dim: 16
|
||||
init_from: ""
|
||||
lambda: 1
|
||||
n_res_blocks: 1
|
||||
router:
|
||||
emb_dim: 8
|
||||
enabled: false
|
||||
gumbel: false
|
||||
gumbel_tau_end: 0.1
|
||||
gumbel_tau_start: 1
|
||||
hidden_dim: 64
|
||||
lambda_balance: 0
|
||||
lambda_entropy: 0
|
||||
lambda_proc: 0
|
||||
learn_centers: true
|
||||
learn_temperature: false
|
||||
learn_width: false
|
||||
n_experts: 4
|
||||
temperature: 0.5
|
||||
type: energy
|
||||
width_max_ratio: 10
|
||||
width_min_ratio: 0.1
|
||||
trunk:
|
||||
block_conditioning: add
|
||||
type: resmlp
|
||||
wgan:
|
||||
critic_hidden_dim: 0
|
||||
critic_lr: 0
|
||||
critic_n_res_blocks: 0
|
||||
gp_weight: 10
|
||||
n_critic: 5
|
||||
noise_dim: 64
|
||||
stage2_model:
|
||||
value:
|
||||
active: true
|
||||
autoregressive:
|
||||
attn_n_heads: 4
|
||||
attn_n_layers: 2
|
||||
history: markov
|
||||
order: energy_desc
|
||||
teacher_forcing: always
|
||||
tf_p_end: 1
|
||||
tf_p_start: 1
|
||||
context_dim: 64
|
||||
ctx_p_end: 0
|
||||
ctx_p_start: 1
|
||||
ddpm:
|
||||
n_steps: 1000
|
||||
time_dim: 64
|
||||
decoder: one_shot
|
||||
dropout: 0
|
||||
flow:
|
||||
time_dim: 64
|
||||
freeze: false
|
||||
generator: wgan
|
||||
heads:
|
||||
n_sec:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
type:
|
||||
depth: 2
|
||||
hidden_ratio: 0.5
|
||||
hidden_dim: 16
|
||||
init_from: ""
|
||||
k_max: 15
|
||||
lambda: 1
|
||||
n_res_blocks: 1
|
||||
n_sec:
|
||||
lambda: 0.1
|
||||
mode: head
|
||||
owner: stage2
|
||||
stop_sampling: greedy
|
||||
particle_type:
|
||||
class_weighting: none
|
||||
lambda: 1
|
||||
n_classes: 0
|
||||
other_policy: sample
|
||||
target: physical
|
||||
router:
|
||||
emb_dim: 8
|
||||
enabled: false
|
||||
gumbel: false
|
||||
gumbel_tau_end: 0.1
|
||||
gumbel_tau_start: 1
|
||||
hidden_dim: 64
|
||||
lambda_balance: 0
|
||||
lambda_entropy: 0
|
||||
lambda_proc: 0
|
||||
learn_centers: true
|
||||
learn_temperature: false
|
||||
learn_width: false
|
||||
n_experts: 4
|
||||
temperature: 0.5
|
||||
tie_to_stage1: false
|
||||
type: energy
|
||||
width_max_ratio: 10
|
||||
width_min_ratio: 0.1
|
||||
stage1_context: truth
|
||||
trunk:
|
||||
block_conditioning: add
|
||||
type: resmlp
|
||||
wgan:
|
||||
critic_hidden_dim: 0
|
||||
critic_lr: 0
|
||||
critic_n_res_blocks: 0
|
||||
gp_weight: 10
|
||||
gumbel_tau_end: 0.1
|
||||
gumbel_tau_start: 1
|
||||
n_critic: 5
|
||||
noise_dim: 64
|
||||
train:
|
||||
value:
|
||||
batch_size: 32
|
||||
ema_decay: 0.9999
|
||||
epochs: 3
|
||||
lr: 0.0003
|
||||
max_val_batches: 200
|
||||
num_workers: 0
|
||||
precision: fp32
|
||||
seed: 0
|
||||
val_fraction: 0.1
|
||||
validate_every: 10
|
||||
validate_steps: 10
|
||||
wandb: true
|
||||
wandb_log_every: 50
|
||||
wandb_project: giant
|
||||
wandb_run_name: ""
|
||||
warmup_epochs: 5
|
||||
weight_decay: 0.01
|
||||
@@ -0,0 +1,129 @@
|
||||
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.2344 1.1637 1.0464 15.1834
|
||||
edep_logit 0.1038 -0.0389 0.9154 1.2521 12.7509
|
||||
sec_logit -0.0401 -0.3063 0.9973 1.3948 12.8780
|
||||
post_dx -0.1144 0.2365 0.8849 1.4247 14.0754
|
||||
post_dy 0.1969 -0.0502 0.9479 0.5923 12.7509
|
||||
post_dz 0.1798 -0.0799 1.1660 0.9817 10.4483
|
||||
travel_dx 0.0000 0.2248 0.0000 0.9969 21.1933
|
||||
travel_dy 0.0000 -0.4027 0.0000 1.0107 21.1933
|
||||
travel_dz 0.0000 0.2537 0.0000 1.1752 2.7726
|
||||
|
||||
n_sec accuracy=0.0000 mean|Δ|=13.0625
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 0.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
||||
3 0.0000 0.0000
|
||||
4 0.0000 0.0000
|
||||
5 0.0000 0.0000
|
||||
6 0.0000 0.0000
|
||||
7 0.0000 0.0000
|
||||
8 0.0000 0.0000
|
||||
9 0.0000 0.0000
|
||||
10 0.0000 0.0000
|
||||
11 0.0000 0.0000
|
||||
12 0.0000 0.0000
|
||||
13 0.0000 0.0000
|
||||
14 0.0000 1.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
0 0.6770 0.4659 0.3354 0.0769 15.9420
|
||||
1 1.0000 0.5398 0.0000 0.0593 21.1933
|
||||
|
||||
sec phys (normalised) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
--------------------------------------------------------------------
|
||||
log_mass 0.1510 0.1224 0.9292 0.3722 13.1985
|
||||
charge -0.1977 -0.0639 0.9295 0.3566 14.5522
|
||||
epoch 1/3 stage1[loss=1.928] stage2[d=7.949 g=-0.053] val 15.5104 0.3s [best]
|
||||
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.0388 1.1637 1.2439 10.6216
|
||||
edep_logit 0.1038 -0.5505 0.9154 0.7483 17.2694
|
||||
sec_logit -0.0401 -0.0553 0.9973 1.6806 19.7732
|
||||
post_dx -0.1144 0.0491 0.8849 1.0873 15.2701
|
||||
post_dy 0.1969 0.0061 0.9479 0.6886 16.1614
|
||||
post_dz 0.1798 -0.1587 1.1660 0.9523 11.5562
|
||||
travel_dx 0.0000 0.3628 0.0000 0.8803 2.0794
|
||||
travel_dy 0.0000 -0.3038 0.0000 0.7700 21.1933
|
||||
travel_dz 0.0000 0.2912 0.0000 1.2252 21.1933
|
||||
|
||||
n_sec accuracy=0.0000 mean|Δ|=13.0625
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 0.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
||||
3 0.0000 0.0000
|
||||
4 0.0000 0.0000
|
||||
5 0.0000 0.0000
|
||||
6 0.0000 0.0000
|
||||
7 0.0000 0.0000
|
||||
8 0.0000 0.0000
|
||||
9 0.0000 0.0000
|
||||
10 0.0000 0.0000
|
||||
11 0.0000 0.0000
|
||||
12 0.0000 0.0000
|
||||
13 0.0000 0.0000
|
||||
14 0.0000 1.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
0 0.6770 0.4527 0.3354 0.0734 15.9014
|
||||
1 1.0000 0.5292 0.0000 0.0895 21.1933
|
||||
|
||||
sec phys (normalised) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
--------------------------------------------------------------------
|
||||
log_mass 0.1510 0.1453 0.9292 0.3858 4.7211
|
||||
charge -0.1977 -0.0492 0.9295 0.3317 14.4793
|
||||
epoch 2/3 stage1[loss=1.779] stage2[d=7.789 g=-0.044] val 16.9971 0.1s
|
||||
|
||||
|
||||
Dim real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
-------------------------------------------------------------------------------
|
||||
log_step_length -0.2712 -0.6230 1.1637 1.2241 16.2914
|
||||
edep_logit 0.1038 0.5304 0.9154 1.1436 11.6862
|
||||
sec_logit -0.0401 -0.3349 0.9973 1.2312 16.0983
|
||||
post_dx -0.1144 0.6235 0.8849 1.3231 15.1834
|
||||
post_dy 0.1969 -0.1217 0.9479 1.0335 12.8375
|
||||
post_dz 0.1798 -0.5140 1.1660 0.6126 15.0968
|
||||
travel_dx 0.0000 0.3038 0.0000 0.9044 2.0794
|
||||
travel_dy 0.0000 -0.4919 0.0000 0.6814 21.1933
|
||||
travel_dz 0.0000 0.1689 0.0000 1.1528 2.0794
|
||||
|
||||
n_sec accuracy=0.0000 mean|Δ|=13.0625
|
||||
n_sec value real_frac gen_frac
|
||||
------------------------------------------
|
||||
0 0.3750 0.0000
|
||||
1 0.3125 0.0000
|
||||
2 0.3125 0.0000
|
||||
3 0.0000 0.0000
|
||||
4 0.0000 0.0000
|
||||
5 0.0000 0.0000
|
||||
6 0.0000 0.0000
|
||||
7 0.0000 0.0000
|
||||
8 0.0000 0.0000
|
||||
9 0.0000 0.0000
|
||||
10 0.0000 0.0000
|
||||
11 0.0000 0.0000
|
||||
12 0.0000 0.0000
|
||||
13 0.0000 0.0000
|
||||
14 0.0000 1.0000
|
||||
|
||||
sec slot (energy frac.) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
------------------------------------------------------------------------------------------
|
||||
0 0.6770 0.4632 0.3354 0.0574 14.1692
|
||||
1 1.0000 0.5308 0.0000 0.0671 21.1933
|
||||
|
||||
sec phys (normalised) real_mean gen_mean real_std gen_std KL(real||gen)
|
||||
--------------------------------------------------------------------
|
||||
log_mass 0.1510 0.1370 0.9292 0.3398 5.1594
|
||||
charge -0.1977 -0.0405 0.9295 0.3401 5.9980
|
||||
epoch 3/3 stage1[loss=1.841] stage2[d=7.351 g=-0.045] val 14.5286 0.1s [best]
|
||||
@@ -0,0 +1,122 @@
|
||||
typer==0.26.7
|
||||
python-dateutil==2.9.0.post0
|
||||
six==1.17.0
|
||||
markdown-it-py==4.2.0
|
||||
mdurl==0.1.2
|
||||
annotated-doc==0.0.4
|
||||
shellingham==1.5.4
|
||||
rich==15.0.0
|
||||
Pygments==2.20.0
|
||||
numpy==2.4.6
|
||||
pyarrow==24.0.0
|
||||
pandas==3.0.3
|
||||
tqdm==4.68.3
|
||||
PyYAML==6.0.3
|
||||
packaging==26.2
|
||||
typing_extensions==4.15.0
|
||||
MarkupSafe==3.0.3
|
||||
filelock==3.29.4
|
||||
Jinja2==3.1.6
|
||||
fsspec==2026.6.0
|
||||
mpmath==1.3.0
|
||||
networkx==3.6.1
|
||||
sympy==1.14.0
|
||||
torch==2.3.1+cpu
|
||||
iniconfig==2.3.0
|
||||
pluggy==1.6.0
|
||||
ty==0.0.50
|
||||
ruff==0.15.17
|
||||
pytest==9.1.0
|
||||
polars-runtime-32==1.41.2
|
||||
polars==1.41.2
|
||||
cramjam==2.11.0
|
||||
xxhash==3.7.0
|
||||
awkward_cpp==53
|
||||
uproot==5.7.4
|
||||
awkward==2.9.1
|
||||
ipython_pygments_lexers==1.1.1
|
||||
comm==0.2.3
|
||||
decorator==5.3.1
|
||||
nest-asyncio2==1.7.2
|
||||
stack-data==0.6.3
|
||||
kiwisolver==1.5.0
|
||||
pyparsing==3.3.2
|
||||
platformdirs==4.10.0
|
||||
matplotlib-inline==0.2.2
|
||||
ipykernel==7.3.0
|
||||
jupyter_core==5.9.1
|
||||
ptyprocess==0.7.0
|
||||
pexpect==4.9.0
|
||||
executing==2.2.1
|
||||
psutil==7.2.2
|
||||
asttokens==3.0.1
|
||||
parso==0.8.7
|
||||
wcwidth==0.8.1
|
||||
pure_eval==0.2.3
|
||||
cycler==0.12.1
|
||||
jupyter_client==8.9.1
|
||||
traitlets==5.15.1
|
||||
contourpy==1.3.3
|
||||
pyzmq==27.1.0
|
||||
tornado==6.5.7
|
||||
pillow==12.2.0
|
||||
prompt_toolkit==3.0.52
|
||||
ipython==9.14.1
|
||||
debugpy==1.8.21
|
||||
fonttools==4.63.0
|
||||
matplotlib==3.11.0
|
||||
jedi==0.20.0
|
||||
threadpoolctl==3.6.0
|
||||
joblib==1.5.3
|
||||
narwhals==2.23.0
|
||||
scikit-learn==1.9.0
|
||||
scipy==1.18.0
|
||||
hepunits==2.4.6
|
||||
attrs==26.1.0
|
||||
particle==1.0.0
|
||||
plotstyle==1.0.0
|
||||
certifi==2026.7.22
|
||||
typing-inspection==0.4.2
|
||||
annotated-types==0.8.0
|
||||
idna==3.18
|
||||
requests==2.34.2
|
||||
click==8.4.2
|
||||
pydantic_core==2.46.4
|
||||
charset-normalizer==3.4.9
|
||||
urllib3==2.7.0
|
||||
protobuf==7.35.1
|
||||
pydantic==2.13.4
|
||||
sentry-sdk==2.66.1
|
||||
wandb==0.28.1
|
||||
pytest-cov==7.1.0
|
||||
coverage==7.15.4
|
||||
tomlkit==0.15.1
|
||||
h11==0.16.0
|
||||
bracex==3.0.1
|
||||
truststore==0.10.4
|
||||
python-dotenv==1.2.3
|
||||
wcmatch==11.0.1
|
||||
questionary==2.1.1
|
||||
git-cliff==2.13.1
|
||||
pydantic-settings==2.15.0
|
||||
rich-click==1.9.8
|
||||
httpx2==2.11.0
|
||||
httpcore2==2.11.0
|
||||
bump-my-version==1.5.1
|
||||
anyio==4.14.2
|
||||
giant==0.3.10
|
||||
parse==1.22.1
|
||||
python-daemon==2.1.2
|
||||
colorama==0.4.6
|
||||
tenacity==8.5.0
|
||||
lockfile==0.12.2
|
||||
webdavclient3==3.14.7
|
||||
cachetools==7.1.7
|
||||
smmap==5.0.3
|
||||
gitdb==4.0.12
|
||||
GitPython==3.1.60
|
||||
b2luigi==1.2.9
|
||||
lxml==6.1.2
|
||||
docutils==0.23
|
||||
luigi==3.7.3
|
||||
setuptools==84.0.0
|
||||
@@ -0,0 +1,52 @@
|
||||
{
|
||||
"os": "Linux-7.1.5-200.fc44.x86_64-x86_64-with-glibc2.43",
|
||||
"python": "CPython 3.12.13",
|
||||
"startedAt": "2026-08-26T10:06:46.248455Z",
|
||||
"args": [
|
||||
"train",
|
||||
"/tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/data/train.parquet",
|
||||
"--config",
|
||||
"/tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/tiny.toml",
|
||||
"--epochs",
|
||||
"3",
|
||||
"--hidden-dim",
|
||||
"16",
|
||||
"--n-blocks",
|
||||
"1",
|
||||
"--batch-size",
|
||||
"32",
|
||||
"--stage2-hidden-dim",
|
||||
"16",
|
||||
"--stage2-n-res-blocks",
|
||||
"1",
|
||||
"--num-workers",
|
||||
"0",
|
||||
"--device",
|
||||
"cpu",
|
||||
"--out",
|
||||
"/tmp/claude-1000/-home-lars-Programming-giant/c0a425e3-0573-4431-8d18-9d7c30e13d34/scratchpad/single"
|
||||
],
|
||||
"program": "/home/lars/Programming/giant/.venv/bin/giant",
|
||||
"codePath": ".venv/bin/giant",
|
||||
"codePathLocal": ".venv/bin/giant",
|
||||
"git": {
|
||||
"remote": "gitea@git.larsbogner.de:lars/giant.git",
|
||||
"commit": "44edb474b26e0b618419f8f6e4503b0db9926f5c"
|
||||
},
|
||||
"email": "lars.bogner@outlook.de",
|
||||
"root": "/home/lars/Programming/giant",
|
||||
"host": "fedora-thinkpad",
|
||||
"executable": "/home/lars/Programming/giant/.venv/bin/python3",
|
||||
"cpu_count": 8,
|
||||
"cpu_count_logical": 16,
|
||||
"disk": {
|
||||
"/": {
|
||||
"total": "1153673723904",
|
||||
"used": "227095486464"
|
||||
}
|
||||
},
|
||||
"memory": {
|
||||
"total": "15931523072"
|
||||
},
|
||||
"writerId": "03u890h8ay2x9warl6313brxq8q7ckxj"
|
||||
}
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user