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The solver.py refactoring renamed most solver classes from *Solver to *Model (e.g. DistributedSolver → DistributedModel). The docs still referenced the old names, causing the Quarto site build to fail with: ImportError: cannot import name 'DistributedSolver' from 'mlsysim' - Fix executable code cells in tutorials/distributed.qmd - Update non-executable code examples across 10 doc files - Rename 19 API reference files from *Solver.qmd to *Model.qmd - SensitivitySolver and SynthesisSolver retain their names (correct) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
15 lines
541 B
Plaintext
15 lines
541 B
Plaintext
# core.solver.TransformationModel { #mlsysim.core.solver.TransformationModel }
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```python
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core.solver.TransformationModel()
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```
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Analyzes the 'Transformation Wall' — CPU preprocessing and augmentation bottlenecks.
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This solver models the compute required to decode and augment data
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(e.g., JPEG decoding, image resizing, tokenization) before it hits the GPU.
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Literature Source:
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1. Mohan et al. (2022), "Analyzing and Mitigating Data Bottlenecks in Deep Learning Training."
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2. Markidis et al. (2021), "The Data Pipeline is the Bottleneck."
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