Getting Started

This section gives you a practical, step-by-step onboarding path.

• Installation
  • Step 1: Install GPU drivers
  • Step 2: Create a Python environment
  • Step 3: Install Grilly
  • Step 4: Verify your setup
  • Step 5: Optional environment flags
• Quickstart
  • Step 1: Import and initialize
  • Step 2: Run a feedforward operation
  • Step 3: Run a neural module (PyTorch-style)
  • Step 4: Use a simple training step
  • Step 5: Update weights
  • Step 6 (Optional): Use autograd Variables
• Core Concepts
  • 1. Compute backend
  • 2. Module API
  • 3. Functional API
  • 4. Backward and gradients
  • 5. CPU fallback behavior
• For PyTorch Users
  • Concept mapping
  • Workflow mapping
  • Parameter handling
  • Tensor type expectations