repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
cs249r_book | mlperf-edu/src/mlperf/power.py | .py | """Explicit estimated-energy helper for local educational runs."""
from __future__ import annotations
import platform
import subprocess
import time
from typing import Any
class PowerMeter:
"""Record elapsed time and a clearly labeled nominal-power estimate."""
def __init__(self, nominal_watts: float | None... | 57 | 1,736 |
cs249r_book | mlperf-edu/src/mlperf/experiment.py | .py | from __future__ import annotations
import copy
import hashlib
import json
import re
from pathlib import Path
from typing import Any
import yaml
from .fingerprint import PERFORMANCE_ENVIRONMENT_ALLOWLIST
EXPERIMENT_PLAN_SCHEMA = "mlperf-edu-experiment-plan/0.3"
LEGACY_EXPERIMENT_PLAN_SCHEMAS = {
"mlperf-edu-exp... | 552 | 20,789 |
cs249r_book | mlperf-edu/src/mlperf/sut.py | .py | import abc
from typing import Any, List, Dict
import asyncio
from .loadgen import QuerySample
class SUT_Interface(abc.ABC):
"""
MLPerf EDU: System Under Test (SUT) Protocol.
Students must inherit from this class to submit optimizations.
This strictly decouples the grading framework from the studen... | 33 | 950 |
cs249r_book | mlperf-edu/src/mlperf/harness.py | .py | from __future__ import annotations
import math
import random
import time
from dataclasses import dataclass, field
from typing import Any, Callable
SCENARIOS = ("offline", "single_stream", "server")
@dataclass(frozen=True)
class ScenarioConfig:
scenario: str = "offline"
sample_count: int = 1
batch_size:... | 256 | 8,909 |
cs249r_book | mlperf-edu/src/mlperf/roofline.py | .py | """
MLPerf EDU: Roofline-coordinate emitter.
Wraps a workload's hot loop in a context manager that measures wall time,
then divides caller-supplied analytic FLOP and byte counts to produce
(arithmetic intensity, achieved FLOPS, achieved bandwidth, dispatch
utilization). These analytic sidecars are development diagnost... | 244 | 8,872 |
cs249r_book | mlperf-edu/src/mlperf/reference/tiny/mlperf_tiny_resnet.py | .py | """PyTorch adapters for the MLPerf Tiny ResNet8 CIFAR-10 model.
The architecture is transcribed from the official MLCommons Tiny repository at
commit ``1afd2c9820f795965a6134facd0b4dfae41ef23f``. The pinned upstream
``utils/model.py`` SHA-256 is
``4eb6abbe58eaf4b4c6c5cb2f2988636b172a206652d151282daf8041e8bc8d6b``.
"""... | 174 | 6,338 |
cs249r_book | mlperf-edu/src/mlperf/reference/tiny/mlperf_tiny_kws.py | .py | """PyTorch adapter for the pinned MLPerf Tiny keyword-spotting model.
The adapter reads fused weights from the official float32 TFLite artifact. It
does not retrain, redesign, or approximate the model topology. The source model
is pinned to MLCommons Tiny commit
``1afd2c9820f795965a6134facd0b4dfae41ef23f``.
"""
from ... | 140 | 5,641 |
cs249r_book | mlperf-edu/src/mlperf/reference/tiny/mlperf_tiny_anomaly.py | .py | """PyTorch adapter for the pinned MLPerf Tiny anomaly-detection model.
The adapter reads the fused dense weights from the official float32 TFLite
artifact. It preserves the complete 640-128-128-128-128-8-128-128-128-128-640
autoencoder and does not retrain, redesign, or approximate the model.
"""
from __future__ impo... | 101 | 3,493 |
cs249r_book | mlperf-edu/src/mlperf/reference/tiny/mlperf_tiny_vww.py | .py | """PyTorch adapter for the pinned MLPerf Tiny visual-wake-words model.
The module preserves the official MobileNetV1 0.25 topology and reads fused
weights from the MLCommons float32 TFLite artifact. It does not retrain,
replace, or approximate the reference model.
"""
from __future__ import annotations
from pathlib ... | 197 | 7,118 |
cs249r_book | mlperf-edu/src/mlperf/reference/timeseries/patchtst/__init__.py | .py | """Official PatchTST supervised backbone at the pinned upstream revision."""
from .backbone import PatchTST_backbone
__all__ = ["PatchTST_backbone"]
| 6 | 151 |
cs249r_book | mlperf-edu/src/mlperf/reference/timeseries/patchtst/revin.py | .py | # Vendored from PatchTST commit 204c21efe0b39603ad6e2ca640ef5896646ab1a9.\n# Apache-2.0; see the upstream repository for the complete license.\n# code from https://github.com/ts-kim/RevIN, with minor modifications
import torch
import torch.nn as nn
class RevIN(nn.Module):
def __init__(self, num_features: int, eps... | 65 | 2,228 |
cs249r_book | mlperf-edu/src/mlperf/reference/timeseries/patchtst/backbone.py | .py | # Vendored from PatchTST commit 204c21efe0b39603ad6e2ca640ef5896646ab1a9.\n# Apache-2.0; see the upstream repository for the complete license.\n__all__ = ['PatchTST_backbone']
# Cell
from typing import Callable, Optional
import torch
from torch import nn
from torch import Tensor
import torch.nn.functional as F
import ... | 381 | 18,092 |
cs249r_book | mlperf-edu/src/mlperf/reference/timeseries/patchtst/layers.py | .py | # Vendored from PatchTST commit 204c21efe0b39603ad6e2ca640ef5896646ab1a9.\n# Apache-2.0; see the upstream repository for the complete license.\n__all__ = ['Transpose', 'get_activation_fn', 'moving_avg', 'series_decomp', 'PositionalEncoding', 'SinCosPosEncoding', 'Coord2dPosEncoding', 'Coord1dPosEncoding', 'positional_e... | 122 | 4,865 |
cs249r_book | mlperf-edu/src/mlperf/reference/cloud/gpt2_infer.py | .py | import torch
import torch.nn as nn
import math
from torch.nn import functional as F
class CausalSelfAttention(nn.Module):
"""Masked multi-head attention with optional KV-cache for autoregressive decode.
The KV-cache path enables NanoGPTDecode (iter-3) to demonstrate
bandwidth-bound decode behavior: each s... | 80 | 3,214 |
cs249r_book | mlperf-edu/src/mlperf/reference/cloud/nanogpt_prefill.py | .py | """
MLPerf EDU causal language modeling, prefill phase
Single forward pass over a long context while materializing the KV cache. Exercises
the compute-bound regime: every weight matrix is reused across `ctx_len`
tokens, giving high arithmetic intensity. Should sit on the compute side
of the roofline.
The prefill and ... | 190 | 6,987 |
cs249r_book | mlperf-edu/src/mlperf/reference/cloud/nanogpt_train.py | .py | """
NanoGPT model definition for MLPerf EDU.
The canonical training entry point is `scripts/verify_training.py`, which
loads `NanoGPTWhiteBox` and trains it with the dataset_factory's
character-level TinyShakespeare loader. This file exports only the model
class and its tokenizer contract; do not add a `run_benchmark`... | 120 | 4,492 |
cs249r_book | mlperf-edu/src/mlperf/reference/cloud/nanogpt_decode.py | .py | """
MLPerf EDU causal language modeling, decode phase
Autoregressive decode with a real KV cache. Each step appends one
token's K and V, and attention re-reads the entire cached K, V from
DRAM -- the canonical bandwidth-bound regime that dominates LLM
serving cost in production.
The prefill and decode phases share on... | 218 | 8,543 |
cs249r_book | mlperf-edu/src/mlperf/runners/ncf.py | .py | """MLPerf Training v0.5 recommendation: Neural Collaborative Filtering.
Thin PyTorch adapter for the retired MLPerf v0.5 recommendation benchmark. The
model, dataset, leave-one-out split, evaluator, and 0.635 HR@10 target are
inherited unchanged; this module adds execution, measurement boundaries,
per-epoch curves, an... | 448 | 17,839 |
cs249r_book | mlperf-edu/src/mlperf/runners/code_generation.py | .py | from __future__ import annotations
import json
import math
import os
import shutil
import sys
import subprocess
import time
from pathlib import Path
from typing import Any
import torch
from mlperf.assets import (
EVALPLUS_COMMIT,
HUMANEVAL_PLUS_VERSION,
ensure_evalplus_evaluator,
ensure_humaneval_plu... | 714 | 24,779 |
cs249r_book | mlperf-edu/src/mlperf/runners/function_calling.py | .py | from __future__ import annotations
import hashlib
import json
import math
import os
import re
import sys
import time
import types
from pathlib import Path
from types import SimpleNamespace
from typing import Any, Callable
import torch
from mlperf.assets import (
BFCL_ARCHIVE_SHA256,
BFCL_COMMIT,
BFCL_EVA... | 996 | 40,371 |
cs249r_book | mlperf-edu/src/mlperf/runners/evalplus_darwin.py | .py | """Run the pinned EvalPlus evaluator on macOS without modifying its source.
EvalPlus sandboxes each candidate solution in a subprocess that first calls
``reliability_guard``, which caps memory with ``RLIMIT_AS`` and ``RLIMIT_DATA``.
Darwin refuses both outright: ``setrlimit`` raises ``ValueError: current limit
exceeds... | 83 | 3,103 |
cs249r_book | mlperf-edu/src/mlperf/runners/nanogpt.py | .py | from __future__ import annotations
import json
import math
import os
import statistics
import sys
import time
from pathlib import Path
from typing import Any
import torch
from torch.utils.data import DataLoader, Dataset
from mlperf.assets import ensure_tinyshakespeare, sha256_file
from mlperf.fingerprint import dete... | 1,246 | 44,304 |
cs249r_book | mlperf-edu/src/mlperf/runners/timeseries.py | .py | from __future__ import annotations
import json
import math
import os
import time
from pathlib import Path
from typing import Any
import numpy as np
import pandas as pd
import torch
from torch import nn
from torch.utils.data import DataLoader, Dataset
from mlperf.assets import ensure_ettm1
from mlperf.fingerprint imp... | 573 | 20,348 |
cs249r_book | mlperf-edu/src/mlperf/runners/reinforcement.py | .py | from __future__ import annotations
import hashlib
import json
import os
import re
import shutil
import subprocess
import time
from pathlib import Path
from typing import Any
import torch
from mlperf.assets import (
MINIGO_COMMIT,
MINIGO_SOURCE_FILES,
minigo_environment_handoff_contract,
ensure_minigo... | 455 | 16,710 |
cs249r_book | mlperf-edu/src/mlperf/runners/retrieval.py | .py | from __future__ import annotations
import json
import os
import time
from pathlib import Path
from typing import Any
import numpy as np
import pandas as pd
import torch
from mlperf.assets import ensure_nanobeir_reranking, sha256_file
from mlperf.fingerprint import detect_hardware
from mlperf.manifest import build_pr... | 378 | 14,287 |
cs249r_book | mlperf-edu/src/mlperf/runners/minigo.py | .py | """MLPerf Training v0.5 MiniGo: PyTorch adapter over the pinned reference.
The historical MiniGo reference is TensorFlow 1.x on CUDA, which no laptop
runs. Its Go rules, feature planes, MCTS, self-play loop, SGF handling, and
professional-move evaluation are all pure Python and NumPy, so only the network
needs replaci... | 554 | 21,368 |
cs249r_book | mlperf-edu/src/mlperf/runners/text.py | .py | from __future__ import annotations
import csv
import json
import math
import os
import time
from pathlib import Path
from typing import Any
import torch
from mlperf.assets import ensure_sst2, sha256_file, sst2_paths
from mlperf.fingerprint import detect_hardware
from mlperf.manifest import build_provd
from mlperf.re... | 314 | 11,514 |
cs249r_book | mlperf-edu/src/mlperf/runners/common.py | .py | from __future__ import annotations
import os
import sys
import time
from copy import deepcopy
def configured_seed(default: int = 42) -> int:
"""Return the benchmark seed from the shared, documented environment contract."""
for name in ("MLPERF_EDU_SEED", "MLPERF_EDU_MAX_SEED"):
value = os.environ.get... | 130 | 4,552 |
cs249r_book | mlperf-edu/src/mlperf/runners/image_generation.py | .py | from __future__ import annotations
import hashlib
import json
import os
import pickle
import sys
import time
from pathlib import Path
from typing import Any
import numpy as np
import torch
from PIL import Image
from mlperf.assets import (
EDM_CIFAR10_CHECKPOINT_SHA256,
EDM_CIFAR10_FID_REFERENCE_SHA256,
E... | 991 | 40,203 |
cs249r_book | mlperf-edu/src/mlperf/runners/vision.py | .py | from __future__ import annotations
import json
import math
import os
import sys
import time
from pathlib import Path
from typing import Any
import numpy as np
import torch
from torch.utils.data import DataLoader, Subset
from mlperf.assets import (
MLPERF_TINY_COMMIT,
ensure_cifar10,
ensure_mlperf_tiny_im... | 311 | 11,625 |
cs249r_book | mlperf-edu/src/mlperf/runners/functional_setup.py | .py | from __future__ import annotations
import hashlib
import json
import math
import time
from pathlib import Path
from typing import Any, Callable
import torch
from torch import nn
from mlperf.fingerprint import detect_hardware
from mlperf.manifest import build_provd
from mlperf.registry import Workload, find_project_r... | 467 | 15,989 |
cs249r_book | mlperf-edu/src/mlperf/runners/tiny.py | .py | from __future__ import annotations
import csv
import json
import math
import os
import sys
import time
from pathlib import Path
from typing import Any
import numpy as np
import torch
from mlperf.assets import (
MLPERF_TINY_ANOMALY_ARCHIVE_MD5,
MLPERF_TINY_ANOMALY_COMMIT,
MLPERF_TINY_ANOMALY_FLOAT_MODEL_S... | 874 | 32,867 |
cs249r_book | mlperf-edu/src/mlperf/runners/graph.py | .py | from __future__ import annotations
import json
import math
import os
import time
from unittest.mock import patch
from pathlib import Path
from typing import Any
import torch
import torch.nn.functional as F
from mlperf.assets import ensure_ogbn_arxiv
from mlperf.fingerprint import detect_hardware
from mlperf.manifest... | 340 | 12,403 |
cs249r_book | mlperf-edu/src/mlperf_edu/__main__.py | .py | from mlperf.edu_cli import main
raise SystemExit(main())
| 5 | 59 |
cs249r_book | mlperf-edu/src/mlperf_edu/__init__.py | .py | """Compatibility package for the MLPerf EDU distribution name."""
from mlperf import * # noqa: F401,F403
__version__ = "0.1.0"
| 6 | 130 |
cs249r_book | mlperf-edu/src/mlperf_edu/cli.py | .py | from mlperf.edu_cli import main
if __name__ == "__main__":
raise SystemExit(main())
| 6 | 90 |
cs249r_book | tinytorch/tinytorch/__init__.py | .py | """
TinyTorch - Build ML Systems From First Principles
A complete educational ML framework for learning neural network internals
by implementing everything from scratch.
Students progressively build this package module by module.
Imports are optional - only available after completing each module.
"""
from pathlib ... | 193 | 6,180 |
cs249r_book | tinytorch/milestones/data_manager.py | .py | #!/usr/bin/env python3
"""
TinyTorch Dataset Manager
========================
Handles dataset downloading and preparation for milestone examples.
Students can focus on demonstrating their ML systems, not fighting with data logistics!
Supported Datasets:
- MNIST: Handwritten digits (28x28 grayscale)
- CIFAR-10: Natura... | 332 | 12,193 |
cs249r_book | tinytorch/milestones/04_1998_cnn/01_lecun_tinydigits.py | .py | #!/usr/bin/env python3
"""
The CNN Revolution (1998) - LeNet Part 1: TinyDigits
====================================================
📚 HISTORICAL CONTEXT:
After backpropagation proved MLPs could learn (1986), researchers still struggled
with image recognition. MLPs treated pixels independently, requiring millions of
... | 595 | 29,675 |
cs249r_book | tinytorch/milestones/04_1998_cnn/02_lecun_cifar10.py | .py | #!/usr/bin/env python3
"""
CIFAR-10 CNN (Modern) - Convolutional Revolution
===============================================
📚 HISTORICAL CONTEXT:
Convolutional Neural Networks revolutionized computer vision by exploiting spatial
structure in images. Unlike MLPs that flatten images (losing spatial relationships),
CNNs... | 724 | 37,760 |
cs249r_book | tinytorch/milestones/06_2018_mlperf/01_optimization_olympics.py | .py | #!/usr/bin/env python3
"""
The Optimization Olympics (2018) - MLPerf Benchmarking
======================================================
📚 HISTORICAL CONTEXT:
In 2018, MLPerf was launched to standardize ML benchmarking across hardware and
software. The key insight: production ML isn't just about accuracy - efficiency... | 963 | 45,254 |
cs249r_book | tinytorch/milestones/06_2018_mlperf/networks.py | .py | #!/usr/bin/env python3
"""
╔══════════════════════════════════════════════════════════════════════════════╗
║ 📦 Pre-Built Networks for Optimization ║
║ (Same architectures from Milestones 01-05) ║
╚═══════════════════════════════════════════════... | 298 | 9,821 |
cs249r_book | tinytorch/milestones/06_2018_mlperf/02_generation_speedup.py | .py | #!/usr/bin/env python3
"""
╔══════════════════════════════════════════════════════════════════════════════╗
║ ⚡ MILESTONE 06.2: Generation Speedup with KV Caching ║
║ Make YOUR Transformer Generate Faster (6-10× Speedup) ║
╚══════════════════════════════════════════════════... | 367 | 15,471 |
cs249r_book | tinytorch/milestones/02_1969_xor/01_xor_crisis.py | .py | #!/usr/bin/env python3
"""
The XOR Crisis (1969) - Minsky & Papert
========================================
📚 HISTORICAL CONTEXT:
In 1969, Marvin Minsky and Seymour Papert published "Perceptrons," mathematically
proving that single-layer perceptrons CANNOT solve the XOR problem. This revelation
killed neural network ... | 381 | 16,362 |
cs249r_book | tinytorch/milestones/02_1969_xor/02_xor_solved.py | .py | #!/usr/bin/env python3
"""
XOR Solved! Multi-Layer Networks (1986)
========================================
📚 HISTORICAL CONTEXT:
After the 1969 XOR crisis killed neural networks, research funding dried up for over
a decade. Then in 1986, Rumelhart, Hinton, and Williams published the backpropagation
algorithm for tra... | 562 | 28,535 |
cs249r_book | tinytorch/milestones/05_2017_transformer/01_vaswani_attention.py | .py | #!/usr/bin/env python3
"""
Attention is All You Need (2017) - The Transformer Challenge
=============================================================
📚 HISTORICAL CONTEXT:
In 2017, Vaswani et al. published "Attention is All You Need," introducing the
Transformer architecture that would power GPT, BERT, and all modern... | 856 | 37,058 |
cs249r_book | tinytorch/milestones/01_1958_perceptron/01_rosenblatt_forward.py | .py | #!/usr/bin/env python3
"""
The Perceptron (1958) - Frank Rosenblatt [FORWARD PASS ONLY]
=============================================================
📚 HISTORICAL CONTEXT:
Frank Rosenblatt's Perceptron was the first trainable artificial neural network that
could learn from examples. It sparked the first AI boom and d... | 438 | 20,561 |
cs249r_book | tinytorch/milestones/03_1986_mlp/01_rumelhart_tinydigits.py | .py | #!/usr/bin/env python3
"""
MLP on Digits (1986) - Rumelhart, Hinton, Williams
==================================================
📚 HISTORICAL CONTEXT:
In 1986, Rumelhart, Hinton, and Williams published "Learning representations by
back-propagating errors" in Nature. This paper proved that multi-layer networks
could l... | 644 | 30,831 |
cs249r_book | tinytorch/tito/main.py | .py | """
TinyTorch CLI Main Entry Point
A professional command-line interface with proper architecture:
- Clean separation of concerns
- Proper error handling
- Logging support
- Configuration management
- Extensible command system
"""
import argparse
import logging
import os
import sys
from pathlib import Path
from typin... | 471 | 18,944 |
cs249r_book | tinytorch/tito/__init__.py | .py | """
TinyTorch CLI Package
A professional command-line interface for the TinyTorch ML system.
Organized with clean separation of concerns and proper error handling.
"""
from pathlib import Path as _Path
def _get_version() -> str:
"""Read version from pyproject.toml (single source of truth)."""
try:
py... | 25 | 764 |
cs249r_book | tinytorch/tito/tools/__init__.py | .py | """
CLI Tools package.
Contains utility tools used by the CLI commands.
"""
from .testing import (
ModuleTestRunner,
create_test_runner,
run_module_tests_auto,
run_module_tests
)
__all__ = [
'ModuleTestRunner',
'create_test_runner',
'run_module_tests_auto',
'run_module_tests'
]
| 20 | 314 |
cs249r_book | tinytorch/tito/tools/testing.py | .py | """
Shared testing infrastructure for TinyTorch modules.
This module provides a standardized testing framework that ensures consistent
output format and behavior across all TinyTorch modules.
"""
import sys
import traceback
import inspect
from typing import List, Callable, Tuple, Optional
from rich.console import Con... | 280 | 9,585 |
cs249r_book | tinytorch/tito/core/exceptions.py | .py | """
Exception hierarchy for TinyTorch CLI.
"""
class TinyTorchCLIError(Exception):
"""Base exception for all CLI errors."""
pass
class ValidationError(TinyTorchCLIError):
"""Raised when validation fails."""
pass
class ExecutionError(TinyTorchCLIError):
"""Raised when command execution fails."""
... | 24 | 544 |
cs249r_book | tinytorch/tito/core/runtime.py | .py | """
Runtime environment detection for the TinyTorch CLI.
Single source of truth for two *separate* questions that the rest of the CLI
must never conflate:
1. ``is_ci()`` -- are we running inside automation (CI, a pipeline)?
2. ``is_interactive()`` -- can we safely prompt the user and read an answer?
Why the... | 66 | 2,408 |
cs249r_book | tinytorch/tito/core/__init__.py | .py | """
Core CLI functionality and shared utilities.
"""
from .console import get_console
from .exceptions import TinyTorchCLIError, ValidationError, ExecutionError
from .config import CLIConfig
from .modules import (
get_module_mapping,
get_module_name,
get_module_display_name,
get_next_module,
normal... | 35 | 743 |
cs249r_book | tinytorch/tito/core/modules.py | .py | """
Module definitions for TinyTorch CLI.
Auto-discovers modules from the src/ directory structure.
This ensures the CLI is always in sync with actual module folders.
"""
import re
from dataclasses import dataclass
from functools import lru_cache
from pathlib import Path
from typing import Dict, Tuple, Optional
@da... | 252 | 6,980 |
cs249r_book | tinytorch/tito/core/virtual_env_manager.py | .py | import os, sys, json
from pathlib import Path
DEFAULT_VENV = ".venv"
CONFIG_FILE = ".tinyrc"
def get_venv_bin_dir(venv_path: Path) -> Path:
"""Return the bin directory for a venv (Scripts/ on Windows, bin/ on Unix)."""
if sys.platform == "win32" or os.name == "nt":
return venv_path / "Scripts"
re... | 31 | 897 |
cs249r_book | tinytorch/tito/core/console.py | .py | """
Console management for consistent CLI output.
"""
from rich.console import Console
from rich.panel import Panel
from rich.text import Text
from rich.table import Table
from rich.tree import Tree
from rich.progress import Progress, SpinnerColumn, BarColumn, TextColumn
from rich.align import Align
from typing import... | 147 | 6,217 |
cs249r_book | tinytorch/tito/core/auth.py | .py | """Simple secure JSON credentials storage system for TinyTorch CLI."""
from __future__ import annotations
import http.server
import threading
import json
import os
import ssl
import time
import socket
import webbrowser
import uuid
from pathlib import Path
from typing import Optional, Dict
import urllib.parse
from urll... | 383 | 12,741 |
cs249r_book | tinytorch/tito/core/status_analyzer.py | .py | """
Comprehensive status analysis for TinyTorch modules and environment.
This module provides detailed analysis of:
- Environment health
- Module compliance with TinyTorch standards
- Code quality and functionality
- Testing status
"""
import ast
import sys
import subprocess
import importlib.util
import traceback
imp... | 500 | 19,902 |
cs249r_book | tinytorch/tito/core/submission.py | .py | """
Handles data aggregation and submission to the Supabase Edge Function.
This version is refactored into a class-based handler that integrates
with the TinyTorch CLI's config and console objects, using only standard libraries.
"""
import json
import os
import ssl
import urllib.request
import urllib.error
from datacl... | 343 | 16,205 |
cs249r_book | tinytorch/tito/core/config.py | .py | """
Configuration management for TinyTorch CLI.
"""
import os
import sys
from pathlib import Path
from typing import Dict, Any, Optional, List, Union
from dataclasses import dataclass
@dataclass
class CLIConfig:
"""Configuration for TinyTorch CLI."""
# Project paths
project_root: Path
assignments_di... | 108 | 3,896 |
cs249r_book | tinytorch/tito/core/browser.py | .py | """
Cross-platform browser opening utility for TinyTorch CLI.
Handles WSL, macOS, Linux, and Windows environments gracefully.
"""
import webbrowser
import subprocess
import platform
from typing import Optional
from rich.console import Console
from rich.panel import Panel
def is_wsl() -> bool:
"""Check if running ... | 136 | 4,128 |
cs249r_book | tinytorch/tito/core/theme.py | .py | """
TinyTorch CLI Color Theme
Consistent color palette for all CLI output.
Logo-inspired but terminal-safe for both dark and light backgrounds.
"""
class Theme:
"""Centralized color constants for CLI styling."""
# ==========================================
# BRAND COLORS
# ==========================... | 57 | 2,400 |
cs249r_book | tinytorch/tito/commands/export_utils.py | .py | """
Shared helpers for TinyTorch export workflows.
These utilities are used by both ExportCommand and SrcCommand to avoid
duplicate logic when converting source files to notebooks, exporting via
nbdev, and protecting generated files.
"""
import json
import re
import stat
import subprocess
from pathlib import Path
fro... | 303 | 13,668 |
cs249r_book | tinytorch/tito/commands/benchmark.py | .py | """
Tiny🔥Torch Benchmark Commands
Run baseline and capstone benchmarks, with automatic submission prompts.
"""
import json
import time
import platform
from argparse import ArgumentParser, Namespace
from datetime import datetime
from pathlib import Path
from typing import Dict, List, Optional, Any, Tuple
import numpy... | 664 | 25,465 |
cs249r_book | tinytorch/tito/commands/setup.py | .py | """
Setup command for Tiny🔥Torch CLI: First-time environment setup and configuration.
This replaces the old 01_setup module with a proper CLI command that handles:
- Package installation and virtual environment setup
- Environment validation and compatibility checking
- User profile creation for development tracking
... | 682 | 29,931 |
cs249r_book | tinytorch/tito/commands/__init__.py | .py | """
CLI Commands package.
Each command is implemented as a separate module with proper separation of concerns.
Commands are organized into logical groups: system, module, and package.
"""
from .base import BaseCommand
# Individual commands
from .nbgrader import NBGraderCommand
from .benchmark import BenchmarkCommand... | 31 | 758 |
cs249r_book | tinytorch/tito/commands/milestone.py | .py | """
Milestone command group for TinyTorch CLI: capability-based learning progression.
The milestone system transforms module completion into meaningful capability achievements.
Instead of just finishing modules, students unlock epic milestones that represent
real-world ML engineering skills.
"""
from argparse import ... | 1,614 | 68,812 |
cs249r_book | tinytorch/tito/commands/olympics.py | .py | """
TinyTorch Olympics - Coming Soon!
Special competition events where students learn and compete together.
"""
from argparse import ArgumentParser, Namespace
from rich.panel import Panel
from rich.align import Align
from rich.text import Text
from rich.console import Group
from .base import BaseCommand
class Olymp... | 122 | 6,547 |
cs249r_book | tinytorch/tito/commands/community.py | .py | """
Tiny🔥Torch Community Commands
Login, profile, and community status tools.
"""
from argparse import ArgumentParser, Namespace
from rich.panel import Panel
from rich.table import Table
from rich import box
from .base import BaseCommand
from .login import LoginCommand, LogoutCommand
from ..core import auth
from ..... | 153 | 5,298 |
cs249r_book | tinytorch/tito/commands/nbgrader.py | .py | """
NBGrader integration commands for TinyTorch.
This command group is an instructor/developer convenience layer around
nbgrader's own workflow. TinyTorch owns module discovery and assignment
staging; nbgrader owns release, collection, autograding, feedback, and export.
"""
import json
import re
import subprocess
fro... | 785 | 32,697 |
cs249r_book | tinytorch/tito/commands/login.py | .py | # tito/commands/login.py
import time
from argparse import ArgumentParser, Namespace
from rich.panel import Panel
from rich.prompt import Confirm
from tito.commands.base import BaseCommand
from tito.core.auth import AuthReceiver, save_credentials, delete_credentials, ENDPOINTS, is_logged_in
from tito.core.browser import... | 188 | 7,969 |
cs249r_book | tinytorch/tito/commands/base.py | .py | """
Base command class for TinyTorch CLI.
"""
from abc import ABC, abstractmethod
from argparse import ArgumentParser, Namespace
from typing import Optional
from pathlib import Path
import logging
import sys
import os
from contextlib import contextmanager
from ..core.config import CLIConfig
from ..core.virtual_env_ma... | 92 | 2,657 |
cs249r_book | tinytorch/tito/commands/module/workflow.py | .py | """
Enhanced Module Workflow for TinyTorch CLI.
Implements the natural workflow:
1. tito module start 01 → Opens module 01 in Jupyter
2. Student works and saves
3. tito module complete 01 → Tests, exports, updates progress
"""
import os
import subprocess
import sys
from argparse import ArgumentParser, Namespace
from ... | 1,880 | 80,242 |
cs249r_book | tinytorch/tito/commands/module/reset.py | .py | """
Module Reset Command for TinyTorch CLI.
Simple reset functionality:
- Reset a specific module to pristine state (recreate notebook from src/)
- Reset all modules (fresh install)
"""
import json
from argparse import ArgumentParser, Namespace
from datetime import datetime
from pathlib import Path
from typing import... | 307 | 11,138 |
cs249r_book | tinytorch/tito/commands/module/__init__.py | .py | """Module command group - student workflow for developing modules."""
from .workflow import ModuleWorkflowCommand
__all__ = ['ModuleWorkflowCommand']
| 6 | 152 |
cs249r_book | tinytorch/tito/commands/module/test.py | .py | """
Module Test Command for TinyTorch CLI.
Provides comprehensive module testing functionality:
- Run individual module tests with educational output
- Three-phase testing: Inline → Module → Integration
- Display detailed test results with WHAT/WHY context
- Track test failures and successes
This enables students to ... | 581 | 23,183 |
cs249r_book | tinytorch/tito/commands/dev/export.py | .py | """
Developer export command: rebuilds curriculum from source files.
This is a DEVELOPER command for maintainers, NOT for students.
Workflow: src/*.py → modules/*.ipynb → tinytorch package files
Students should use `tito module complete` which only exports their
notebook work to the package (without overwriting their... | 312 | 12,409 |
cs249r_book | tinytorch/tito/commands/dev/clean.py | .py | """
Developer clean command for TinyTorch CLI.
Wraps clean targets so the VS Code extension and other tools
can call Tito instead of raw make commands.
Usage:
tito dev clean Clean all generated files (project root)
tito dev clean site Clean site build artifacts
"""
import subprocess
from argpars... | 69 | 2,462 |
cs249r_book | tinytorch/tito/commands/dev/preflight.py | .py | """
Preflight checks for TinyTorch development and releases.
This command runs comprehensive verification before commits, PRs, or releases.
The same checks can be used in CI/CD pipelines.
Usage:
tito dev preflight # Standard preflight (quick + structure)
tito dev preflight --full # Full val... | 859 | 32,702 |
cs249r_book | tinytorch/tito/commands/dev/__init__.py | .py | """Developer command group for TinyTorch CLI."""
from .dev import DevCommand
from .test import DevTestCommand
from .build import DevBuildCommand
from .clean import DevCleanCommand
__all__ = ['DevCommand', 'DevTestCommand', 'DevBuildCommand', 'DevCleanCommand']
| 9 | 263 |
cs249r_book | tinytorch/tito/commands/dev/test.py | .py | """
Unified Developer Test Command for TinyTorch.
Simple, explicit test types:
tito dev test # Default: unit tests
tito dev test --unit # Unit tests only
tito dev test --integration # Integration tests
tito dev test --e2e # End-to-end tests
tito dev test --all ... | 1,144 | 46,744 |
cs249r_book | tinytorch/tito/commands/dev/build.py | .py | """
Developer build command for TinyTorch CLI.
Wraps site/paper build targets so the VS Code extension and other tools
can call Tito instead of raw make commands.
Usage:
tito dev build html Build HTML site
tito dev build serve Build and serve locally
tito dev build pdf Build PDF course guide
... | 96 | 2,962 |
cs249r_book | tinytorch/tito/commands/dev/dev.py | .py | """
Developer command group for TinyTorch CLI.
These commands are for TinyTorch developers and instructors, not students.
Primary command: tito dev test (unified testing)
"""
from argparse import ArgumentParser, Namespace
from rich.panel import Panel
from ..base import BaseCommand
from .test import DevTestCommand
fr... | 141 | 6,081 |
cs249r_book | tinytorch/tito/commands/package/reset.py | .py | """
Reset command for TinyTorch CLI: resets package and user data.
"""
import json
import shutil
from datetime import datetime
from argparse import ArgumentParser, Namespace
from pathlib import Path
from rich.panel import Panel
from rich.text import Text
from ..base import BaseCommand
class ResetCommand(BaseCommand)... | 407 | 15,441 |
cs249r_book | tinytorch/tito/commands/package/nbdev.py | .py | """
nbdev command for TinyTorch CLI: runs nbdev commands for notebook development.
"""
import subprocess
from argparse import ArgumentParser, Namespace
from rich.panel import Panel
from ..base import BaseCommand
class NbdevCommand(BaseCommand):
@property
def name(self) -> str:
return "nbdev"
@pr... | 95 | 3,912 |
cs249r_book | tinytorch/tito/commands/package/__init__.py | .py | """Package command group - package management and nbdev integration."""
from .package import PackageCommand
__all__ = ['PackageCommand']
| 6 | 139 |
cs249r_book | tinytorch/tito/commands/package/package.py | .py | """
Package command group for TinyTorch CLI: nbdev integration and package management.
"""
from argparse import ArgumentParser, Namespace
from rich.panel import Panel
from ..base import BaseCommand
from .reset import ResetCommand
from .nbdev import NbdevCommand
class PackageCommand(BaseCommand):
@property
de... | 76 | 2,582 |
cs249r_book | tinytorch/tito/commands/system/reset.py | .py | """
System Reset Command for TinyTorch CLI.
Resets the TinyTorch development environment to a pristine state:
- Clears modules/ directory (student notebooks)
- Clears tinytorch/core/ (exported package code)
- Optionally resets progress tracking
This is useful for:
- Testing fresh install experience
- CI/CD pipeline r... | 164 | 5,942 |
cs249r_book | tinytorch/tito/commands/system/health.py | .py | """
Health command for TinyTorch CLI: environment health check and validation.
"""
import sys
import os
import subprocess
from argparse import ArgumentParser, Namespace
from pathlib import Path
from rich.panel import Panel
from rich.table import Table
from ..base import BaseCommand
class HealthCommand(BaseCommand):
... | 318 | 13,089 |
cs249r_book | tinytorch/tito/commands/system/info.py | .py | """
Info command for TinyTorch CLI: shows system and environment information.
"""
from argparse import ArgumentParser, Namespace
import json as json_module
import sys
import os
import platform
import shutil
from pathlib import Path
from rich.panel import Panel
from rich.table import Table
from ..base import BaseComma... | 172 | 5,633 |
cs249r_book | tinytorch/tito/commands/system/__init__.py | .py | """System command group - environment and configuration management."""
from .system import SystemCommand
__all__ = ['SystemCommand']
| 6 | 135 |
cs249r_book | tinytorch/tito/commands/system/system.py | .py | """
System command group for TinyTorch CLI: environment, configuration, and system tools.
"""
from argparse import ArgumentParser, Namespace
from rich.panel import Panel
from ..base import BaseCommand
from .info import InfoCommand
from .health import HealthCommand
from .jupyter import JupyterCommand
from .update impo... | 126 | 4,421 |
cs249r_book | tinytorch/tito/commands/system/update.py | .py | """
TinyTorch Update Command
Check for updates using GitHub API and perform in-place updates.
Uses tinytorch-v* tags to determine latest version.
IMPORTANT: This command preserves student work during updates:
- modules/ (student notebooks in progress)
- tinytorch/core/ (student implementations)
- .tito/ ... | 438 | 15,606 |
cs249r_book | tinytorch/tito/commands/system/logo.py | .py | """
Logo command for TinyTorch CLI: explains the symbolism and meaning behind TinyTorch.
"""
from argparse import ArgumentParser, Namespace
from rich.console import Console
from rich.panel import Panel
from rich.text import Text
from rich.align import Align
from pathlib import Path
from ..base import BaseCommand
cla... | 145 | 6,289 |
cs249r_book | tinytorch/tito/commands/system/jupyter.py | .py | """
Jupyter command for TinyTorch CLI: starts Jupyter notebook server.
"""
import subprocess
from argparse import ArgumentParser, Namespace
from rich.panel import Panel
from ..base import BaseCommand
class JupyterCommand(BaseCommand):
@property
def name(self) -> str:
return "jupyter"
@property
... | 53 | 1,928 |
cs249r_book | tinytorch/tools/dev/validate_cli_docs.py | .py | #!/usr/bin/env python3
"""
Validate that CLI commands referenced in documentation match actual tito CLI.
This script extracts all `tito X Y` commands from markdown files and validates
them against the actual CLI structure. Runs as a pre-commit hook to catch
documentation drift before it reaches the repo.
Usage:
p... | 243 | 8,661 |
cs249r_book | tinytorch/tools/dev/collapse_blank_lines.py | .py | #!/usr/bin/env python3
"""
Collapse multiple consecutive blank lines into single blank lines.
For markdown files, this preserves content inside code blocks (```...```)
to avoid interfering with language-specific formatting.
"""
import sys
def collapse_blank_lines(content):
"""Replace multiple consecutive blank ... | 89 | 2,503 |
cs249r_book | tinytorch/tools/dev/fix_ascii_boxes.py | .py | #!/usr/bin/env python3
"""
Fix ASCII Box and Table Alignment
This script finds ASCII art boxes and tables in Python files and ensures the
right-side vertical bars (│) are perfectly aligned with the top border.
Handles:
- Simple boxes (content lines with exactly 2 │)
- Boxes with ├───┤ separator lines
- Tables with co... | 564 | 18,549 |
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