add run graph_warmup_10

applied/opt04_cudagraph_unroll/graph_warmup_10.summary.json

@@ -0,0 +1,245 @@
+{
+  "key": "opt04_cudagraph_unroll/graph_warmup_10",
+  "tag": "graph_warmup_10",
+  "script": "opt04_cudagraph_unroll.py",
+  "script_sha256_16": "847dee0db9d2d87e",
+  "hf_folder": "applied/opt04_cudagraph_unroll",
+  "priority": 1,
+  "note": "",
+  "phase": 4,
+  "n_phases": 10,
+  "method": "harmonic_matched",
+  "command": [
+    "/usr/bin/python3",
+    "-m",
+    "torch.distributed.run",
+    "--standalone",
+    "--nproc_per_node=2",
+    "/kaggle/working/scripts/opt04_cudagraph_unroll.py",
+    "--method",
+    "harmonic_matched",
+    "--data-root",
+    "/kaggle/working/data",
+    "--epochs",
+    "60",
+    "--seed",
+    "1234",
+    "--batch-size",
+    "64",
+    "--event-eval",
+    "--no-resume",
+    "--decision-margin",
+    "2.0",
+    "--hub-dir",
+    "/kaggle/working/hub/opt04_cudagraph_unroll/graph_warmup_10",
+    "--keep-epoch-weights",
+    "1",
+    "--resplit",
+    "block",
+    "--drop-rest",
+    "--bench",
+    "--graph-warmup",
+    "10"
+  ],
+  "flags": [
+    "--graph-warmup",
+    "10"
+  ],
+  "epochs_requested": 60,
+  "gpus": 2,
+  "relative_epoch_cost": 1.0,
+  "exit_code": 0,
+  "status": "ok",
+  "duration_s": 527.5,
+  "started_utc": "2026-08-23T04:30:29.916928+00:00",
+  "finished_utc": "2026-08-23T04:39:17.443004+00:00",
+  "optimization_summary": {
+    "optimization": "cudagraph_static_unroll",
+    "research_section": "2. Temporal-dimension reduction / 5. OS & runtime",
+    "reference": "CUDA Graphs static capture/replay applied to the unrolled T-tick event-driven inference loop",
+    "script": "opt04_cudagraph_unroll.py",
+    "baseline_mode": false,
+    "method": "harmonic_matched",
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+    "optimization_specific": {
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+      "kernel_launches_graphed": 2,
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+      "bench_batches": {
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+    "config": {
+      "method": "harmonic_matched",
+      "data_root": "/kaggle/working/data",
+      "subjects": "",
+      "blocks": "",
+      "limit": 0,
+      "drop_rest": true,
+      "resplit": "block",
+      "test_blocks": "6",
+      "class_weight": false,
+      "epochs": 60,
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+      "num_bins": 100,
+      "window_sec": 5.0,
+      "hidden": "512,256",
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+      "time_jitter": 2,
+      "label_smoothing": 0.05,
+      "no_batchnorm": false,
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+      "beta": 1.0,
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+      "readout": "spikecount",
+      "fake_quant": 0,
+      "amp": false,
+      "spike_reg": 0.0,
+      "event_eval": true,
+      "decision_margin": 2.0,
+      "export": false,
+      "seed": 1234,
+      "hub_dir": "/kaggle/working/hub/opt04_cudagraph_unroll/graph_warmup_10",
+      "repo_id": "UWU-R-13/SSVEP-SNN",
+      "push_hf": false,
+      "keep_epoch_weights": 1,
+      "no_resume": true,
+      "selftest": false,
+      "baseline": false,
+      "bench": true,
+      "bench_warmup": 10,
+      "bench_iters": 50,
+      "bench_train_steps": 20,
+      "event_capacity": 0,
+      "graph_warmup": 10,
+      "bench_batches": "1,8,32,128",
+      "sampling_rate": 250.0
+    }
+  },
+  "final_summary": {
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+    "final_test_rest_recall": NaN,
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+    "class_weight": false,
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+    "epochs": 60,
+    "method": "harmonic_matched",
+    "n_in": 2880,
+    "n_classes": 40,
+    "num_bins": 100
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+  "extra_sweep_file_present": true,
+  "selftest": {
+    "mode": "gate",
+    "passed": true
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+}

applied/opt04_cudagraph_unroll/graph_warmup_10.zip

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