wehub-resource-sync
17 lines
1.2 KiB
JSON
17 lines
1.2 KiB
JSON
{
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"nodes": [
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{"id": "n_transformer", "label": "Transformer", "file_type": "code", "source_file": "model.py", "source_location": "L1"},
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{"id": "n_attention", "label": "MultiHeadAttention", "file_type": "code", "source_file": "model.py", "source_location": "L10"},
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{"id": "n_layernorm", "label": "LayerNorm", "file_type": "code", "source_file": "model.py", "source_location": "L20"},
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{"id": "n_concept_attn","label": "attention mechanism", "file_type": "document", "source_file": "paper.md", "source_location": "§3.1"}
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],
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"edges": [
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{"source": "n_transformer", "target": "n_attention", "relation": "contains", "confidence": "EXTRACTED", "source_file": "model.py", "weight": 1.0},
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{"source": "n_transformer", "target": "n_layernorm", "relation": "contains", "confidence": "EXTRACTED", "source_file": "model.py", "weight": 1.0},
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{"source": "n_attention", "target": "n_concept_attn", "relation": "implements", "confidence": "INFERRED", "source_file": "model.py", "weight": 0.8},
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{"source": "n_layernorm", "target": "n_concept_attn", "relation": "referenced", "confidence": "AMBIGUOUS", "source_file": "paper.md", "weight": 0.5}
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],
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"input_tokens": 1200,
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"output_tokens": 340
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}
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