mirror of
https://github.com/harvard-edge/cs249r_book.git
synced 2026-05-07 18:18:42 -05:00
a9878ad6bd
Snapshot of the standalone /Users/VJ/GitHub/mlperf-edu/ repo as of 2026-04-16, brought into MLSysBook as a parked feature branch for backup and iteration. Not for merge to dev. Contents (88 files, ~2.3 MB): - 16 reference workloads (cloud / edge / tiny / agent divisions) - LoadGen proxy harness + SUT plugin protocol - Compliance checker, autograder, hardware fingerprint - Paper draft (paper.tex) with TikZ/SVG figure sources - Three lab examples + practitioner workflow configs - Workload + dataset YAML registries (single source of truth) Excluded (per mlperf-edu/.gitignore + size constraints): - Datasets (6.6 GB), checkpoints (260 MB), gpt2 weights (523 MB) - Generated PDFs, .venv, build artifacts
31 lines
623 B
TOML
31 lines
623 B
TOML
[build-system]
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requires = ["setuptools>=61.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "mlperf_edu"
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version = "0.1.0"
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description = "A scaled-down, educational implementation of MLPerf for teaching ML Systems."
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readme = "README.md"
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requires-python = ">=3.9"
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dependencies = [
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"torch>=2.0.0",
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"torchvision>=0.15.0",
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"numpy>=1.21.0",
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"PyYAML>=6.0",
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"rich>=13.0.0",
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"plotly>=5.15.0",
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"pandas>=2.0.0",
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"transformers>=4.0.0"
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]
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[project.scripts]
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mlperf = "mlperf.cli:main"
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[project.optional-dependencies]
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dev = [
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"pytest>=7.0.0",
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"black>=22.0.0",
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"flake8>=6.0.0",
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]
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