add run default

applied/opt04_cudagraph_unroll/default.summary.json

@@ -0,0 +1,240 @@
+{
+  "key": "opt04_cudagraph_unroll/default",
+  "tag": "default",
+  "script": "opt04_cudagraph_unroll.py",
+  "script_sha256_16": "847dee0db9d2d87e",
+  "hf_folder": "applied/opt04_cudagraph_unroll",
+  "priority": 0,
+  "note": "default: CUDA-Graph capture/replay on",
+  "phase": 1,
+  "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/default",
+    "--keep-epoch-weights",
+    "1",
+    "--resplit",
+    "block",
+    "--drop-rest",
+    "--bench"
+  ],
+  "flags": [],
+  "epochs_requested": 60,
+  "gpus": 2,
+  "relative_epoch_cost": 1.0,
+  "exit_code": 0,
+  "status": "ok",
+  "duration_s": 501.8,
+  "started_utc": "2026-08-23T03:37:23.272103+00:00",
+  "finished_utc": "2026-08-23T03:45:45.056909+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",
+    "accuracy": {
+      "test_acc": 0.9435714285714286,
+      "test_target_acc": 0.9435714285714286,
+      "best_val_acc": 0.95
+    },
+    "efficiency": {
+      "spikes_per_inference": null,
+      "syn_ops_per_inference": 3255047.327922078,
+      "dense_macs_per_inference": 122675200.0,
+      "event_fraction_of_dense": 0.026533866078246277,
+      "syn_ops_per_inference_dense_fanout": 64831665.11444805,
+      "weight_sparsity": 0.7324707846410685,
+      "effective_ticks": 11.80642857142857,
+      "num_ticks": 100,
+      "membrane_bytes_per_inference": 451200,
+      "weight_bytes": 4907008,
+      "input_raster_bytes": null,
+      "train_ms_per_step": 92.52521991729736,
+      "infer_ms_per_sample": 0.6286457926034927,
+      "peak_vram_mb": 2803.899904
+    },
+    "optimization_specific": {
+      "graph_enabled": true,
+      "event_capacity_scan": {
+        "cap_scan": 98901,
+        "batch_size_scan": 64,
+        "n_batches_scanned": 20,
+        "density_per_sample": 1545.328125,
+        "per_layer_caps": [
+          98901,
+          7501,
+          3379,
+          3291
+        ]
+      },
+      "capacity": 98901,
+      "overflow_ticks_frac": 0.0,
+      "graph_vs_eager_pred_agreement": 1.0,
+      "graph_capture_ms": 233.42132568359375,
+      "graphed_acc": 0.9435714285714286,
+      "kernel_launches_eager": 400,
+      "kernel_launches_graphed": 2,
+      "launch_reduction_x": 200.0,
+      "bench_batches": {
+        "1": {
+          "ms_per_sample_eager": 157.8002643585205,
+          "ms_per_sample_graphed": 32.571964263916016,
+          "throughput_eager_samples_per_s": 6.337124998270032,
+          "throughput_graphed_samples_per_s": 30.701249451750854,
+          "speedup_x": 4.844665279623167,
+          "capacity": 1546
+        },
+        "8": {
+          "ms_per_sample_eager": 20.341086983680725,
+          "ms_per_sample_graphed": 12.358421683311462,
+          "throughput_eager_samples_per_s": 49.161581227310094,
+          "throughput_graphed_samples_per_s": 80.91648153990228,
+          "speedup_x": 1.645929189416548,
+          "capacity": 12363
+        },
+        "32": {
+          "ms_per_sample_eager": 5.914023816585541,
+          "ms_per_sample_graphed": 10.751050561666489,
+          "throughput_eager_samples_per_s": 169.08961326729144,
+          "throughput_graphed_samples_per_s": 93.01416584957377,
+          "speedup_x": 0.5500879921142168,
+          "capacity": 49451
+        },
+        "128": {
+          "ms_per_sample_eager": 1.9992999359965324,
+          "ms_per_sample_graphed": 9.524058550596237,
+          "throughput_eager_samples_per_s": 500.17507728351893,
+          "throughput_graphed_samples_per_s": 104.99725455146395,
+          "speedup_x": 0.20992100430455352,
+          "capacity": 197802
+        }
+      },
+      "speedup_x_at_batch1": 4.844665279623167
+    },
+    "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,
+      "batch_size": 64,
+      "lr": 0.002,
+      "weight_decay": 0.0005,
+      "grad_clip": 5.0,
+      "num_bins": 100,
+      "window_sec": 5.0,
+      "hidden": "512,256",
+      "freq_groups": 8,
+      "dropout": 0.3,
+      "spike_drop": 0.1,
+      "time_jitter": 2,
+      "label_smoothing": 0.05,
+      "no_batchnorm": false,
+      "binary_input": false,
+      "beta": 1.0,
+      "thresh": 1.0,
+      "window": 0.5,
+      "gain": 1.0,
+      "alpha": 0.9,
+      "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/default",
+      "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": 3,
+      "bench_batches": "1,8,32,128",
+      "sampling_rate": 250.0
+    }
+  },
+  "final_summary": {
+    "final_test_acc": 0.9435714285714286,
+    "final_test_target_acc": 0.9435714285714286,
+    "final_test_rest_recall": NaN,
+    "best_acc": 0.95,
+    "best_epoch": 48,
+    "resplit": "block",
+    "class_weight": false,
+    "drop_rest": true,
+    "epochs": 60,
+    "method": "harmonic_matched",
+    "n_in": 2880,
+    "n_classes": 40,
+    "num_bins": 100
+  },
+  "event_driven_summary": {
+    "acc": 0.9435714285714286,
+    "anytime_acc": {
+      "0.25": 0.6271428571428571,
+      "0.5": 0.8492857142857143,
+      "0.75": 0.9164285714285715,
+      "1.0": 0.9435714285714286
+    },
+    "syn_per_inference": 3255047.327922078,
+    "dense_per_inference": 122675200.0,
+    "event_fraction_of_dense": 0.026533866078246277,
+    "syn_per_inference_dense_fanout": 64831665.11444805,
+    "weight_sparsity": 0.7324707846410685,
+    "num_ticks": 100,
+    "dt_ms": 50.0,
+    "margin_decision_acc": 0.4407142857142857,
+    "mean_decision_tick": 11.80642857142857,
+    "mean_decision_ms": 590.3214285714286,
+    "dense_forward_test_acc": 0.9435714285714286
+  },
+  "extra_sweep_file_present": true,
+  "selftest": {
+    "mode": "gate",
+    "passed": true
+  },
+  "driver_version": 1,
+  "zip": {
+    "name": "default.zip",
+    "files": 81,
+    "bytes": 12253126,
+    "MB": 12.3,
+    "sha256": "dd13cd46e7240e145c6dd659b20ff6be55136f94e8e39058663d3ccbf1811fac"
+  }
+}

applied/opt04_cudagraph_unroll/default.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dd13cd46e7240e145c6dd659b20ff6be55136f94e8e39058663d3ccbf1811fac
+size 12253126