netwatch-flow-cascade / context_encoder.config.json
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v1.0.0: keep the record decoder
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{
"arm": "split",
"flow_messages": true,
"flow_records": false,
"record_encoder": null,
"record_split": true,
"capacity": 0.25,
"epoch": 5,
"validation_link_ap": 0.9951015999857535,
"nested_keys": [
"model",
"head"
],
"numpy_keys": [],
"source_checkpoint": "context_encoder.pt",
"tensor_names": [
"head.net.0.bias",
"head.net.0.weight",
"head.net.2.bias",
"head.net.2.weight",
"model.attention.in_proj_bias",
"model.attention.in_proj_weight",
"model.attention.out_proj.bias",
"model.attention.out_proj.weight",
"model.features.gap.cold",
"model.features.gap.time.omega",
"model.key.bias",
"model.key.weight",
"model.late.flow.marker",
"model.late.flow.norm.bias",
"model.late.flow.norm.weight",
"model.late.flow.out.0.bias",
"model.late.flow.out.0.weight",
"model.late.flow.out.2.bias",
"model.late.flow.out.2.weight",
"model.memory.cell.bias_hh",
"model.memory.cell.bias_ih",
"model.memory.cell.weight_hh",
"model.memory.cell.weight_ih",
"model.memory.gap.omega",
"model.memory.h0",
"model.memory.message.0.bias",
"model.memory.message.0.weight",
"model.memory.message.2.bias",
"model.memory.message.2.weight",
"model.neighbour_gap.omega",
"model.neighbour_role.weight",
"model.no_reply",
"model.out.0.bias",
"model.out.0.weight",
"model.out.2.bias",
"model.out.2.weight",
"model.query.bias",
"model.query.weight",
"model.role.weight"
]
}