aitbc
cf922ba335
Legacy Content Organization: ✅ MIGRATION EXAMPLES ARCHIVED: Moved legacy migration examples to documentation archive - docs/archive/migration_examples/: Moved from root directory for better organization - Contains GPU acceleration migration examples from CUDA to abstraction layer - Educational/reference material for historical context and migration procedures ✅ LEGACY CONTENT IDENTIFIED: - GPU Acceleration Migration: From CUDA-specific to backend-agnostic abstraction layer - Migration Patterns: BEFORE/AFTER code examples showing evolution - Legacy Import Paths: high_performance_cuda_accelerator, fastapi_cuda_zk_api - Deprecated Classes: HighPerformanceCUDAZKAccelerator, ProductionCUDAZKAPI ✅ DOCUMENTATION ARCHIVE CONTENTS: - MIGRATION_CHECKLIST.md: Step-by-step migration procedures - basic_migration.py: Direct CUDA calls to abstraction layer examples - api_migration.py: FastAPI endpoint migration examples - config_migration.py: Configuration migration examples ✅ ROOT DIRECTORY CLEANUP: Removed legacy examples from production directory - migration_examples/ moved to docs/archive/migration_examples/ - Root directory now contains only active production components - Legacy migration examples preserved for historical reference DIRECTORY STRUCTURE IMPROVEMENT: 📁 docs/archive/migration_examples/: Historical migration documentation 🏗️ Root Directory: Clean production structure with only active components 📚 Documentation Archive: Legacy content properly organized for reference BENEFITS: ✅ Clean Production Directory: No legacy examples in root ✅ Historical Preservation: Migration examples preserved for reference ✅ Better Organization: Legacy content grouped in documentation archive ✅ Clear Separation: Active vs legacy content clearly distinguished RESULT: Successfully moved legacy migration examples to docs/archive/migration_examples/ subdirectory, cleaning up the root directory while preserving historical migration documentation for future reference.
50 lines
1.4 KiB
Python
Executable File
50 lines
1.4 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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API Migration Example
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Shows how to migrate FastAPI endpoints to use the new abstraction layer.
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"""
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# BEFORE (CUDA-specific API)
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# from fastapi_cuda_zk_api import ProductionCUDAZKAPI
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#
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# cuda_api = ProductionCUDAZKAPI()
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# if not cuda_api.initialized:
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# raise HTTPException(status_code=500, detail="CUDA not available")
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# AFTER (Backend-agnostic API)
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from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel
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from gpu_acceleration import GPUAccelerationManager, create_gpu_manager
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import numpy as np
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app = FastAPI(title="Refactored GPU API")
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# Initialize GPU manager (auto-detects best backend)
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gpu_manager = create_gpu_manager()
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class FieldOperation(BaseModel):
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a: list[int]
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b: list[int]
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@app.post("/field/add")
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async def field_add(op: FieldOperation):
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"""Perform field addition with any available backend."""
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try:
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a = np.array(op.a, dtype=np.uint64)
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b = np.array(op.b, dtype=np.uint64)
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result = gpu_manager.field_add(a, b)
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return {"result": result.tolist()}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@app.get("/backend/info")
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async def backend_info():
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"""Get current backend information."""
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return gpu_manager.get_backend_info()
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@app.get("/performance/metrics")
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async def performance_metrics():
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"""Get performance metrics."""
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return gpu_manager.get_performance_metrics()
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