Every trained head: explicit spans, relations and records; reference runtime; phone results

ff95cf8 verified 6 days ago

15.8 kB

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   "FluidInference's features graph is two graphs: encoder (inputs_embeds, attention_mask -> hidden_states) and head (hidden_states plus the six other feature inputs -> the same thirteen outputs)",
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	{
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	"about": "the candidate scorer and the record candidate states (FluidInference's Core ML scorer): FP32, CPU",
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	"about": "explicit-span scorer: the boundary proposer's prior and the pair scorer over up to 64 forced spans per query (attributes, choice fields); FP32, CPU",
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	"shape": [
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	"sha256": "22c2e937cfc17e1ee9c8f3ec6f1449d44dc9230cfcbb8737c9bae8492628a3e8",
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	},
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	"words": 64,
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	"choices": 8,
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	"boundaries": 65,
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	"changes": [
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	"attention_mask is float32 (1.0 / 0.0) instead of int32",
	"FluidInference's features graph is two graphs: encoder (inputs_embeds, attention_mask -> hidden_states) and head (hidden_states plus the six other feature inputs -> the same thirteen outputs)",
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