- Adds standardized callout-definition blocks with bold term + clear definition
to all Vol.2 chapters (distributed training, inference, network fabrics, etc.)
- Fixes caption_inline_python errors: replaces Python inline refs in table
captions with static text in responsible_engr, appendix_fleet, appendix_reliability,
compute_infrastructure
- Fixes undefined_inline_ref errors: adds missing code fence for PlatformEconomics
class in ops_scale.qmd; converts display math blocks with Python refs to prose
- Fixes render-pattern errors: moves inline Python outside $...$ math delimiters
in conclusion, fleet_orchestration, inference, introduction, network_fabrics,
responsible_ai, security_privacy, sustainable_ai, distributed_training
- Fixes dropcap errors: restructures drop-cap sentences in hw_acceleration and
nn_architectures to not start with cross-references
- Fixes unreferenced-label errors: removes @ prefix from @sec-/@tbl- refs inside
Python comment strings in training, model_compression, ml_systems
- Adds clientA to codespell ignore words (TikZ node label in edge_intelligence)
- Updates mlsys constants, hardware, models, and test_units for Vol.2 calculations
- Updates _quarto.yml and references.bib for two-volume structure
- Add git pull --rebase before push so concurrent comment-triggered runs
don't reject each other (only one of three runs had succeeded for PR 1179).
- Manually add @salmanmkc as code contributor to tinytorch and kits
(labs was already added by the single successful run).
- Fix Pareto diagram: swap A/C so line has positive slope (latency vs accuracy)
- Add missing Image Classification writeup to Standard Benchmark Tasks
- Treat anomaly_detection as binary classification (np.rand(2))
- Convert MLPerf inputs to Tensors + transpose HWC→CHW for TinyTorch models
Fixesharvard-edge/cs249r_book#1196
The GitHub link (github.com/harvard-edge/TinyTorch/blob/main/paper/paper.pdf)
returns 404. Use arxiv.org/pdf/2601.19107 instead.
Fixesharvard-edge/cs249r_book#1198
Add encoding='utf-8' and errors='replace' to subprocess.run() calls in
workflow.py so unit and integration test output decode correctly on
Windows (cp1252) when output contains UTF-8 characters.
Co-authored-by: Pratham-ja <114498234+Pratham-ja@users.noreply.github.com>
Refines the explanation of K,V computation savings in the memoization module,
quantifying redundant computations and highlighting the efficiency gain.
The paper and module now specify that generating 100 tokens requires 5,050
total K,V computations, but only 100 are necessary, resulting in 4,950
redundant calculations.
Notebooks use short names (tensor.ipynb, not 01_tensor.ipynb) but docs
and Binder postBuild scripts used the prefixed form. This caused broken
Binder links and incorrect paths in troubleshooting guides.
Fixes: harvard-edge/cs249r_book#1176
Replace hardcoded numerical values across all module ABOUT.md files with
Python-computed values using myst_nb glue() references. Each file is now a
MyST Markdown Notebook that executes inline code cells to compute memory
sizes, FLOPs, compression ratios, and other quantitative values.
Key changes:
- Add file_format: mystnb frontmatter and code-cell blocks to all 20 files
- All arithmetic (memory calculations, speedups, ratios) now computed inline
- Fix multiple arithmetic errors discovered during conversion
- Enable execute_notebooks: "cache" in PDF config for glue resolution
- Fix jupyter-book version constraint in Makefile
Mermaid diagrams were oversized in PDF output. Reduced viewport width
from 800→600 and added LaTeX preamble to cap mermaid figures at
0.75\linewidth. Also fixed 7 admonition blocks across 5 ABOUT.md files
where nested triple-backtick code fences broke the MyST parser, causing
raw markdown to render in PDF output.
- Responsive progressive disclosure: hide date at 1024px, icons-only at 768px
- Add 44px touch targets for mobile nav links
- Restyle version badge with separate number/date spans
- Add link-secondary class for visual hierarchy in navbar
- Add npx pre-flight check for Mermaid CLI in PDF build
- Configure mermaid_cmd to use npx (no global install needed)
- Add Unicode box-drawing fallbacks for LaTeX
- Add Community section to PDF table of contents
Use vscode.openWith(uri, 'jupyter-notebook') for .ipynb files so they
render in VS Code's notebook editor with cell support, rather than
opening as raw JSON text via openTextDocument.
The VS Code extension no longer implements any business logic — every
capability (module discovery, path resolution, system info, builds,
tests, clean) lives in Tito CLI commands. The extension is a pure UI
shell that delegates via `python3 -m tito.main`.
Tito CLI additions:
- `module list --json` for machine-readable module discovery
- `module path <num> --notebook|--source|--about` for file resolution
- `system info --json` for environment info
- `dev build html|serve|pdf|paper` wrapping make targets
- `dev clean [all|site]` wrapping make clean
- Banner suppression for --json and module path output
Extension hardening:
- Centralized CLI integration in utils/tito.ts (single TITO_CMD constant,
callTito, callTitoJson, titoTerminalCommand, isTitoAvailable, log/logError)
- Replaced all silent catch{} blocks with logged errors and user feedback
- Module tree shows error/empty states with actionable Setup/Health buttons
- Info tree shows "Tito CLI unavailable" when CLI is unreachable
- Removed all setTimeout refresh hacks — file watcher on .tito/progress.json
is the sole refresh mechanism
- Exit code tracking via onDidEndTerminalShellExecution
- Tito availability pre-flight check on activation
- BUILD_OUTPUTS constants for build artifact paths
- Zero execSync calls outside tito.ts, zero hardcoded command strings
Display version number and release date (e.g., "v0.1.8 · Feb 7, 2026")
next to the "Under Construction" badge in the top nav bar. Version and
date are declared as top-of-file constants in wip-banner.js for easy
CI sed updates. Publish workflow now bumps 6 files instead of 5.
Add the TinyTorch VS Code extension source package and align module code/docs references so APIs, milestones, and progression notes remain consistent across the curriculum.
Audit and fix consistency issues across all module source files:
- Standardize ML Systems header to "ML Systems Reflection Questions" (01, 13)
- Fix section ordering: test_module before ML Systems in modules 16, 17
- Rename demo_spatial() to demo_convolutions() to match module name (09)
- Rename demo_*_with_profiler() to explore_*_with_profiler() (15, 16, 17)
- Fix test naming to use test_unit_* prefix consistently (03, 05, 11, 12)
- Add missing emojis in test_module/demo patterns (02, 15)
- Standardize tito command format to number-only (01, 03, 06, 07, 18)
- Fix implementation headers: hyphen to colon separator (09, 12)
- Add missing "Where This Code Lives" package section (13)
- Fix export command in module summary (05, 06)
Three categories of changes across 17 modules:
1. Function decomposition (Modules 01,03,05-15,18-19): Break large
monolithic functions into focused _helper + orchestrator pattern.
Each helper teaches one concept with its own unit test.
2. Naming convention fixes (Modules 08,09,11,18,19): Ensure underscore
convention is consistent — standalone _func in export cells renamed
to func (public API), monkey-patched method names match target
visibility, removed unnecessary #| export from internal helpers.
3. Progressive disclosure (Modules 02-05,08,11-15): Remove forward
references to future modules. Replace "you'll learn in Module N"
with concrete descriptions. Trim connection maps to only show
current and prior modules. Keep end-of-module "Next" teasers
as motivational breadcrumbs.
All 17 modified modules pass their test suites.
