Seal Phase4AE same-precision GPU numerical gate and audit limits

This commit is contained in:
Digital Drosophila Archive
2026-09-30 07:50:57 +08:00
parent 92241aea02
commit 1eb4c52cf7
648 changed files with 51363 additions and 22 deletions
@@ -0,0 +1,51 @@
{
"case": "motif_no_input",
"precision": "float64",
"repeat": 0,
"comparison": {
"pass_all": true,
"checks": {
"step": true,
"neuron_idx": true,
"counts": true,
"ref": true,
"history_ref_exact": true,
"finite_states": true,
"state_tolerance": true,
"weights_exact": true,
"request_attempted_exact": true,
"request_accepted_exact": true,
"request_rejected_exact": true,
"arrival_order_and_guard_exact": true
},
"bitwise_history": true,
"max_abs_volt": 0.0,
"mean_abs_volt": 0.0,
"fixed_limit_volt": 1e-11,
"first_event_divergence_step": null,
"oracle_events": 0,
"gpu_events": 0,
"due_edges": 0,
"accepted_edges": 0,
"attempted_requests": 0,
"accepted_requests": 0
},
"repeat_arrays": {
"nodes": true,
"history": true,
"counts": true,
"v": true,
"g": true,
"ref": true,
"weights": true,
"step": true,
"neuron_idx": true,
"request_attempted": true,
"request_accepted": true,
"request_rejected": true,
"arrival_step": true,
"arrival_edge_index": true,
"arrival_accepted": true
},
"pass_all": true
}
@@ -0,0 +1,68 @@
{
"precision": "float64",
"state_units": "SI volts; refractory is steps",
"coefficients_double_input": {
"gd": 0.9801986733067553,
"c0": -0.00025935108198051754,
"cg": 0.004937935295309027,
"cv": 0.9950124791926823,
"threshold": -0.045,
"reset": -0.052000000000000005,
"seed_volt": -0.044
},
"coefficients_effective_dtype": {
"gd": 0.9801986733067553,
"c0": -0.00025935108198051754,
"cg": 0.004937935295309027,
"cv": 0.9950124791926823,
"threshold": -0.045,
"reset": -0.052000000000000005,
"seed_volt": -0.044
},
"weights_origin": "caller supplied oracle SI weight array",
"nodes": 5,
"edges": 13,
"steps": 1000,
"total_spikes": 0,
"arriving_edges": 0,
"accepted_arriving_edges": 0,
"requested": 0,
"accepted_requests": 0,
"rejected_requests": 0,
"all_finite": true,
"delay_steps": 18,
"refractory_steps": 22,
"build_or_cache_seconds": 0.000176245000147901,
"diagnostic_simulation_seconds": 0.25657017800040194,
"wall_seconds": 0.25931909400014774,
"gpu": "NVIDIA GeForce RTX 4090",
"device": "cuda:0",
"peak_allocated_vram_bytes": 182272,
"peak_reserved_vram_bytes": 23068672,
"build": {
"sources": {
"author_ext.cpp": "208a937d17bbb041b9bf6b25b89264ee566830b60609e58491b44583d8541f15",
"author_ext.cu": "669f166e18ce9a3f63fc723db8b0a8b74f7fa4757194b1bd65b4cf6008a7787e"
},
"torch": "2.14.0+cu130",
"torch_cuda": "13.0",
"arch_list": "8.9",
"cuda_flags": [
"-O2",
"--fmad=false",
"--ftz=false",
"--prec-div=true",
"--prec-sqrt=true"
]
},
"input_sha256": {
"spec.json": "02adfcd0717aa2d98eb571107136eae7186166ce1c7d7eb87df23bedb452fbd9",
"arrays.npz": "3e3f7c2bd477e097761d3e34745f88fb215636c74d89a9e77a2b9a5f2fc738c3"
},
"arrival_order_scope": "GPU expanded edges, stable target grouping; compare relative order per tick and target",
"performance_runtime_claim": false,
"oracle_validation_claim": false,
"whole_brain_run": false,
"learning": false,
"cpu_transfer_each_step_for_diagnostics": true
}