add run event_capacity_64

applied/opt04_cudagraph_unroll/event_capacity_64.summary.json

@@ -0,0 +1,233 @@
+{
+  "key": "opt04_cudagraph_unroll/event_capacity_64",
+  "tag": "event_capacity_64",
+  "script": "opt04_cudagraph_unroll.py",
+  "script_sha256_16": "847dee0db9d2d87e",
+  "hf_folder": "applied/opt04_cudagraph_unroll",
+  "priority": 2,
+  "note": "small fixed buffer",
+  "phase": 8,
+  "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/event_capacity_64",
+    "--keep-epoch-weights",
+    "1",
+    "--resplit",
+    "block",
+    "--drop-rest",
+    "--bench",
+    "--event-capacity",
+    "64"
+  ],
+  "flags": [
+    "--event-capacity",
+    "64"
+  ],
+  "epochs_requested": 60,
+  "gpus": 2,
+  "relative_epoch_cost": 1.0,
+  "exit_code": 0,
+  "status": "ok",
+  "duration_s": 398.3,
+  "started_utc": "2026-08-23T06:02:38.070652+00:00",
+  "finished_utc": "2026-08-23T06:09:16.372079+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": {
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+      "test_target_acc": 0.9442857142857143,
+      "best_val_acc": 0.9435714285714286
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+    "efficiency": {
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+      "dense_macs_per_inference": 122675200.0,
+      "event_fraction_of_dense": 0.026636513652395832,
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+      "weight_sparsity": 0.7324707846410685,
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+      "num_ticks": 100,
+      "membrane_bytes_per_inference": 451200,
+      "weight_bytes": 4907008,
+      "input_raster_bytes": null,
+      "train_ms_per_step": 105.17575740814209,
+      "infer_ms_per_sample": 0.700143352150917,
+      "peak_vram_mb": 2803.894272
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+    "optimization_specific": {
+      "graph_enabled": true,
+      "capacity": 64,
+      "overflow_ticks_frac": 0.9176136363636367,
+      "graph_vs_eager_pred_agreement": 0.027857142857142858,
+      "graph_capture_ms": 236.41490936279297,
+      "graphed_acc": 0.027142857142857142,
+      "kernel_launches_eager": 400,
+      "kernel_launches_graphed": 2,
+      "launch_reduction_x": 200.0,
+      "bench_batches": {
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+          "ms_per_sample_graphed": 23.493247032165527,
+          "throughput_eager_samples_per_s": 6.310833097484171,
+          "throughput_graphed_samples_per_s": 42.56542310353527,
+          "speedup_x": 6.744818385468646,
+          "capacity": 64
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+        "8": {
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+          "ms_per_sample_graphed": 3.0600184202194214,
+          "throughput_eager_samples_per_s": 48.68989956897935,
+          "throughput_graphed_samples_per_s": 326.79541841721795,
+          "speedup_x": 6.711770229762835,
+          "capacity": 64
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+        "32": {
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+          "ms_per_sample_graphed": 0.8136455714702606,
+          "throughput_eager_samples_per_s": 167.6214013116603,
+          "throughput_graphed_samples_per_s": 1229.0363704591869,
+          "speedup_x": 7.332216297213899,
+          "capacity": 64
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+        "128": {
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+          "ms_per_sample_graphed": 0.24432867765426633,
+          "throughput_eager_samples_per_s": 477.3329362011611,
+          "throughput_graphed_samples_per_s": 4092.847428311445,
+          "speedup_x": 8.574408170708354,
+          "capacity": 64
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+      },
+      "speedup_x_at_batch1": 6.744818385468646
+    },
+    "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/event_capacity_64",
+      "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": 64,
+      "graph_warmup": 3,
+      "bench_batches": "1,8,32,128",
+      "sampling_rate": 250.0
+    }
+  },
+  "final_summary": {
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+    "final_test_target_acc": 0.9442857142857143,
+    "final_test_rest_recall": NaN,
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+    "best_epoch": 33,
+    "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": {
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+    "anytime_acc": {
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+      "0.5": 0.8507142857142858,
+      "0.75": 0.9192857142857143,
+      "1.0": 0.9442857142857143
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+    "weight_sparsity": 0.7324707846410685,
+    "num_ticks": 100,
+    "dt_ms": 50.0,
+    "margin_decision_acc": 0.455,
+    "mean_decision_tick": 12.285714285714286,
+    "mean_decision_ms": 614.2857142857143,
+    "dense_forward_test_acc": 0.9442857142857143
+  },
+  "extra_sweep_file_present": true,
+  "selftest": {
+    "mode": "gate",
+    "passed": true
+  },
+  "driver_version": 1,
+  "zip": {
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+  }
+}

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