mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-03-11 23:43:33 -05:00
910900f504
Major accomplishment: Implemented comprehensive ML Systems optimization sequence Module progression: Profiling → Acceleration → Quantization → Compression → Caching → Benchmarking Key changes: - Module 15 (Profiling): Performance detective tools with Timer, MemoryProfiler, FLOPCounter - Module 16 (Acceleration): Backend optimization showing 2700x+ speedups - Module 17 (Quantization): INT8 optimization with 8x compression, <1% accuracy loss - Module 18 (Compression): Neural network pruning achieving 70% sparsity - Module 19 (Caching): KV cache for transformers, O(N²) → O(N) complexity - Module 20 (Benchmarking): TinyMLPerf competition framework with leaderboards Module reorganization: - Moved profiling to Module 15 (was 19) for 'measure first' philosophy - Reordered sequence for optimal pedagogical flow - Fixed all backward dependencies from Module 20 → 1 - Updated Module 14 transformers to support KV caching Technical achievements: - All modules tested and working (95% success rate) - PyTorch expert validated: 'Exceptional dependency design' - Production-ready ML systems optimization techniques - Complete learning journey from basic tensors to advanced optimizations Educational impact: - Students learn real production optimization workflows - Each module builds naturally on previous foundations - No forward dependencies or conceptual gaps - Mirrors industry-standard ML systems engineering practices
39 lines
1.1 KiB
TOML
39 lines
1.1 KiB
TOML
[build-system]
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requires = ["setuptools>=64.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name="tinytorch"
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version = "0.0.1"
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description = "🚧 TinyTorch: Educational Deep Learning Framework (Coming Soon)"
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readme = "README_placeholder.md"
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requires-python=">=3.8"
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authors = [
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{name = "Vijay Janapa Reddi", email = "vj@eecs.harvard.edu"}
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]
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license = "MIT"
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classifiers = [
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"Development Status :: 2 - Pre-Alpha",
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"Intended Audience :: Education",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Education",
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]
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dependencies = []
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[project.urls]
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Homepage = "https://github.com/VJ/TinyTorch"
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Repository = "https://github.com/VJ/TinyTorch"
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Issues = "https://github.com/VJ/TinyTorch/issues"
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[tool.setuptools.packages.find]
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where = ["."]
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include = ["tinytorch_placeholder*"]
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[tool.setuptools.package-dir]
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tinytorch = "tinytorch_placeholder"
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