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https://github.com/harvard-edge/cs249r_book.git
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1eb30f5f86
Align the MLSys·im code, docs, paper, website, workflows, and lab wheel for the 0.1.1 release. This also fixes runtime/API issues found during release review and prepares the paper PDF plus archive package.
70 lines
2.5 KiB
Python
70 lines
2.5 KiB
Python
"""
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Tutorial: Comparing Concrete Hardware
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====================================
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Models the Smart Doorbell across different real-world microcontrollers.
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"""
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import mlsysim
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def main():
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scenario = mlsysim.Applications.Doorbell
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devices = [
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mlsysim.Hardware.Tiny.nRF52840,
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mlsysim.Hardware.Tiny.ESP32_S3,
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mlsysim.Hardware.Tiny.HimaxWE1,
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]
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for hw in devices:
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print("\n--- Evaluating " + hw.name + " ---")
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test_scenario = scenario.model_copy(update={"system": hw})
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try:
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result = test_scenario.evaluate()
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print(result.scorecard())
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except Exception as e:
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print("CRITICAL SYSTEM FAILURE: " + str(e))
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if __name__ == "__main__":
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main()
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# Expected output (mlsysim v0.1.1):
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# --- Evaluating Nordic nRF52840 (Cortex-M4F) ---
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# +============================================================+
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# | MLSys-im SYSTEM EVALUATION
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# | Scenario: Smart Doorbell
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# +============================================================+
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# | Level 1: Feasibility [PASS]
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# | Model fits in memory (0.5 MB / 1.0 MB)
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# +------------------------------------------------------------+
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# | Level 2: Performance [FAIL]
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# | Latency: 781.76 millisecond (Target: 200 ms)
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# +------------------------------------------------------------+
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# | Level 3: Macro/Economics [PASS]
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# | Annual Carbon: 0.1 kg | TCO: $11,500
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# +============================================================+
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#
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# --- Evaluating ESP32-S3 (AI) ---
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# +============================================================+
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# | Level 1: Feasibility [PASS]
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# | Model fits in memory (0.5 MB / 8.0 MB)
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# +------------------------------------------------------------+
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# | Level 2: Performance [PASS]
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# | Latency: 101.01 millisecond (Target: 200 ms)
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# +------------------------------------------------------------+
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# | Level 3: Macro/Economics [PASS]
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# | Annual Carbon: 1.7 kg | TCO: $11,500
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# +============================================================+
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#
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# --- Evaluating Himax WE-I Plus ---
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# +============================================================+
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# | Level 1: Feasibility [PASS]
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# | Model fits in memory (0.5 MB / 2.0 MB)
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# +------------------------------------------------------------+
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# | Level 2: Performance [FAIL]
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# | Latency: 252.01 millisecond (Target: 200 ms)
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# +------------------------------------------------------------+
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# | Level 3: Macro/Economics [PASS]
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# | Annual Carbon: 0.0 kg | TCO: $11,500
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# +============================================================+
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