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- New fusionagi/gpu/ module with TensorBackend protocol abstraction - TensorFlowBackend: GPU-accelerated ops with TensorCore mixed-precision - NumPyBackend: CPU fallback (always available, no extra deps) - Auto-selects best available backend at runtime - GPU-accelerated operations: - Cosine similarity matrix (batched, XLA-compiled) - Multi-head attention for consensus scoring - Batch hypothesis scoring on GPU - Semantic similarity search (pairwise, nearest-neighbor, deduplication) - New TensorFlowAdapter (fusionagi/adapters/): - LLMAdapter for local TF/Keras model inference - TensorCore mixed-precision support - GPU-accelerated embedding synthesis fallback - Reasoning pipeline integration: - gpu_scoring.py: drop-in GPU replacement for multi_path scoring - Super Big Brain: use_gpu config flag, GPU scoring when available - Memory integration: - gpu_search.py: GPU-accelerated semantic search for SemanticGraphMemory - Self-improvement integration: - gpu_training.py: gradient-based heuristic weight optimization - Reflective memory training loop with loss tracking - Dependencies: gpu extra (tensorflow>=2.16, numpy>=1.26) - 64 new tests (276 total), all passing - Architecture spec: docs/gpu_tensorcore_integration.md Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
65 lines
1.6 KiB
Python
65 lines
1.6 KiB
Python
"""Reasoning engine: chain-of-thought, tree-of-thought, and native symbolic reasoning."""
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from fusionagi.reasoning.cot import (
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build_cot_messages,
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run_chain_of_thought,
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)
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from fusionagi.reasoning.tot import (
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run_tree_of_thought,
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run_tree_of_thought_detailed,
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ThoughtBranch,
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ThoughtNode,
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ToTResult,
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expand_node,
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prune_subtree,
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merge_subtrees,
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)
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from fusionagi.reasoning.native import (
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NativeReasoningProvider,
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analyze_prompt,
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produce_head_output,
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PromptAnalysis,
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)
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from fusionagi.reasoning.decomposition import decompose_recursive
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from fusionagi.reasoning.multi_path import generate_and_score_parallel
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from fusionagi.reasoning.recomposition import recompose, RecomposedResponse
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from fusionagi.reasoning.meta_reasoning import (
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challenge_assumptions,
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detect_contradictions,
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revisit_node,
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)
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from fusionagi.reasoning.gpu_scoring import (
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generate_and_score_gpu,
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score_claims_gpu,
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deduplicate_claims_gpu,
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)
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__all__ = [
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"build_cot_messages",
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"run_chain_of_thought",
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"run_tree_of_thought",
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"run_tree_of_thought_detailed",
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"ThoughtBranch",
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"ThoughtNode",
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"ToTResult",
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"expand_node",
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"prune_subtree",
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"merge_subtrees",
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"NativeReasoningProvider",
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"analyze_prompt",
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"produce_head_output",
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"PromptAnalysis",
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"decompose_recursive",
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"load_context_for_reasoning",
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"build_compact_prompt",
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"generate_and_score_parallel",
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"recompose",
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"RecomposedResponse",
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"challenge_assumptions",
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"detect_contradictions",
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"revisit_node",
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"generate_and_score_gpu",
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"score_claims_gpu",
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"deduplicate_claims_gpu",
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]
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