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GGitHubFix torchcsprng build with conda and PyTorch CUDA wheel layouts (#12)

ef2c3e06创建于 24 天前历史提交

文件	最后提交记录	最后更新时间
installation_advice.py	Fix torchcsprng build with conda and PyTorch CUDA wheel layouts (#12) * change the method of install * add install_advice.py * simplify the install process * fix readme * fix again * complate install advice * change the api of restore() in tutorials	24 天前
neural_network_beaver_generation.py	refactor(NssMPClib)!: v1.0.0 major architectural overhaul BREAKING CHANGES: - Package renamed from NssMPC to nssmpc - High-level APIs completely redesigned with standardized exports - All communication backends except tensorpipe_rpc temporarily removed - Protocol layer function naming conventions normalized Major Improvements: • Redesigned high-level interfaces with cleaner export structure • Normalized protocol layer function naming • Updated neural network inference toolkit components • Reorganized utils module with new context manager-based performance profiler • Added offline generation for neural network matrix beavers with online lazy loading • Unified all auxiliary parameter providers into single interface • Synchronized all example code with new API patterns Migration Guide: 1. Update imports: from nssmpc import * instead of from NssMPC import * 2. Review protocol function calls - naming now follows snake_case 3. Communication backend configuration now defaults to tensorpipe_rpc only 4. Check utility imports as module structure has been reorganized 5. Regenerate auxiliary parameters using new offline generation toolchain Note: This release focuses on API stability and performance optimization. Future releases will reintroduce additional communication backends.	5 个月前
offline_parameter_generation.py	refactor(NssMPClib)!: v1.0.0 major architectural overhaul BREAKING CHANGES: - Package renamed from NssMPC to nssmpc - High-level APIs completely redesigned with standardized exports - All communication backends except tensorpipe_rpc temporarily removed - Protocol layer function naming conventions normalized Major Improvements: • Redesigned high-level interfaces with cleaner export structure • Normalized protocol layer function naming • Updated neural network inference toolkit components • Reorganized utils module with new context manager-based performance profiler • Added offline generation for neural network matrix beavers with online lazy loading • Unified all auxiliary parameter providers into single interface • Synchronized all example code with new API patterns Migration Guide: 1. Update imports: from nssmpc import * instead of from NssMPC import * 2. Review protocol function calls - naming now follows snake_case 3. Communication backend configuration now defaults to tensorpipe_rpc only 4. Check utility imports as module structure has been reorganized 5. Regenerate auxiliary parameters using new offline generation toolchain Note: This release focuses on API stability and performance optimization. Future releases will reintroduce additional communication backends.	5 个月前