FastPLMs-artifacts / docs /evidence /attention /backend_latency.json
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{
"schema_version": 1,
"method": "Randomly initialized models at published dimensions, FP32 parameters under CUDA BF16 autocast, inference mode. Each backend runs in its own process, three interleaved rounds per case; a round reports the median forward latency after warm-up. One batch is 8 rows of 512 positions.",
"residues_per_batch": {
"padded": 2336,
"full": 4096
},
"limitations": "Descriptive latency of an uncommitted working tree on cloud workers. It orders backends for automatic selection and is not a release benchmark or a parity claim.",
"runs": [
{
"run": "20260921T131922-backend-bench-b42b0fec",
"source": {
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"torch": "2.13.0+cu130",
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},
"cases": {
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{
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]
}