mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-04-29 20:38:58 -05:00
9361cbf987
- Create professional examples directory showcasing TinyTorch as real ML framework - Add examples: XOR, MNIST, CIFAR-10, text generation, autograd demo, optimizer comparison - Fix import paths in exported modules (training.py, dense.py) - Update training module with autograd integration for loss functions - Add progressive integration tests for all 16 modules - Document framework capabilities and usage patterns This commit establishes the examples gallery that demonstrates TinyTorch works like PyTorch/TensorFlow, validating the complete framework.
32 lines
966 B
Bash
32 lines
966 B
Bash
# Python Virtual Environment Auto-Activation Template
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# Copy this file as .envrc to any Python project directory
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# Then run: direnv allow
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# Check if .venv exists, create if it doesn't
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if [[ ! -d ".venv" ]]; then
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echo "🔧 Creating Python virtual environment..."
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python3 -m venv .venv
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echo "📦 Installing basic dependencies..."
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source .venv/bin/activate
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pip install --upgrade pip
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# Uncomment the next line if you have a requirements.txt
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# pip install -r requirements.txt
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fi
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# Activate the virtual environment
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source .venv/bin/activate
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# Set common Python environment variables
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export PYTHONPATH="${PWD}:${PYTHONPATH}"
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export PROJECT_ROOT="${PWD}"
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# Prevent Python from writing pyc files
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export PYTHONDONTWRITEBYTECODE=1
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# Enable Python development mode (more detailed error messages)
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export PYTHONDEVMODE=1
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echo "✅ TinyTorch environment activated"
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echo "🐍 Python: $(python --version)"
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echo "📍 Virtual env: ${VIRTUAL_ENV}"
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