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FusionAGI/fusionagi/reasoning/__init__.py
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feat: GPU/TensorCore integration — TensorFlow backend, GPU-accelerated reasoning, training, and memory
- 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>
2026-04-28 05:05:50 +00:00

65 lines
1.6 KiB
Python

"""Reasoning engine: chain-of-thought, tree-of-thought, and native symbolic reasoning."""
from fusionagi.reasoning.cot import (
build_cot_messages,
run_chain_of_thought,
)
from fusionagi.reasoning.tot import (
run_tree_of_thought,
run_tree_of_thought_detailed,
ThoughtBranch,
ThoughtNode,
ToTResult,
expand_node,
prune_subtree,
merge_subtrees,
)
from fusionagi.reasoning.native import (
NativeReasoningProvider,
analyze_prompt,
produce_head_output,
PromptAnalysis,
)
from fusionagi.reasoning.decomposition import decompose_recursive
from fusionagi.reasoning.multi_path import generate_and_score_parallel
from fusionagi.reasoning.recomposition import recompose, RecomposedResponse
from fusionagi.reasoning.meta_reasoning import (
challenge_assumptions,
detect_contradictions,
revisit_node,
)
from fusionagi.reasoning.gpu_scoring import (
generate_and_score_gpu,
score_claims_gpu,
deduplicate_claims_gpu,
)
__all__ = [
"build_cot_messages",
"run_chain_of_thought",
"run_tree_of_thought",
"run_tree_of_thought_detailed",
"ThoughtBranch",
"ThoughtNode",
"ToTResult",
"expand_node",
"prune_subtree",
"merge_subtrees",
"NativeReasoningProvider",
"analyze_prompt",
"produce_head_output",
"PromptAnalysis",
"decompose_recursive",
"load_context_for_reasoning",
"build_compact_prompt",
"generate_and_score_parallel",
"recompose",
"RecomposedResponse",
"challenge_assumptions",
"detect_contradictions",
"revisit_node",
"generate_and_score_gpu",
"score_claims_gpu",
"deduplicate_claims_gpu",
]