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Features: - 16 checkpoint test suite validating ML systems capabilities - Integration tests covering complete learning progression - Rich CLI progress tracking with visual timelines - Capability-driven assessment from environment to production Checkpoints: - Environment setup through full ML system deployment - Each checkpoint validates integrated functionality - Progressive capability building with clear success criteria - Professional CLI interface with status/timeline/test commands
9 lines
318 B
Python
9 lines
318 B
Python
"""
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TinyTorch Package-Level Checkpoints
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These tests validate integrated functionality progression.
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Each checkpoint answers: "What complete system can I build now?"
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Unlike module tests that verify individual components, checkpoints test
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what students can actually build and run as they progress through TinyTorch.
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""" |