mirror of
https://github.com/harvard-edge/cs249r_book.git
synced 2026-07-19 01:14:07 -05:00
fccee3c735
- Migrated all legacy constants from constants.py to hardware and model registries - Updated dozens of LEGO blocks in Volume 1 and Volume 2 to use Engine.solve and formulas - Resolved all resulting NameError, TypeError, and AttributeError exceptions in the inline Python blocks - Master Quarto HTML build now passes with zero execution failures
19 lines
963 B
Python
19 lines
963 B
Python
import re
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import glob
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qmds = glob.glob('book/quarto/contents/**/*.qmd', recursive=True)
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for q in qmds:
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with open(q, 'r') as f: c = f.read()
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orig = c
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# Check for dTime kwargs
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c = c.replace('efficiency=', 'efficiency_eta=')
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# Re-fix Engine.solve since that actually uses efficiency=
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c = c.replace('Engine.solve(m_bert, h_a100, batch_size=batch_1, precision="fp32", efficiency_eta=1.0)', 'Engine.solve(m_bert, h_a100, batch_size=batch_1, precision="fp32", efficiency=1.0)')
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c = c.replace('Engine.solve(m_bert, h_a100, batch_size=batch_32, precision="fp32", efficiency_eta=0.85)', 'Engine.solve(m_bert, h_a100, batch_size=batch_32, precision="fp32", efficiency=0.85)')
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c = re.sub(r'Engine\.solve\(([^,]+),\s*([^,]+),\s*batch_size=([^,]+),\s*precision="([^"]+)",\s*efficiency_eta=([^\)]+)\)', r'Engine.solve(\1, \2, batch_size=\3, precision="\4", efficiency=\5)', c)
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if c != orig:
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with open(q, 'w') as f: f.write(c)
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