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test: Add integration tests for Autodiff module [P1] #628

Description

@ooples

Overview

This issue tracks integration tests for the Autodiff module. P1 (High Priority).

Parent Issue: #615

Current Status

  • Coverage: 0%
  • Source Files: 5 files
  • Test Files: None

Module Location

src/Autodiff/

Components to Test

Autodiff Classes

  • GradientTape
  • ComputationNode
  • TensorOperations
  • NeuralNetworkDerivatives
  • GradientCheckpointing

Test Categories

1. GradientTape Tests

  • Test gradient recording
  • Test gradient computation
  • Test nested tapes
  • Test persistent tape
  • Compare against PyTorch autograd

2. ComputationNode Tests

  • Test forward pass
  • Test backward pass
  • Test node graph construction
  • Test topological ordering

3. TensorOperations Tests

  • Test differentiable operations
  • Test gradient flow through ops
  • Verify chain rule application

4. Derivative Tests

  • Test neural network gradients
  • Compare against numerical gradients
  • Test higher-order derivatives

5. Gradient Checkpointing Tests

  • Test memory savings
  • Verify gradient correctness
  • Test checkpoint boundaries

Mathematical Verification

Numerical Gradient Check

numerical_grad = (f(x + h) - f(x - h)) / (2h)

Compare against computed gradients.

Test Functions

  • f(x) = x^2 (simple)
  • f(x) = sin(x) (transcendental)
  • f(x, y) = x*y (multivariate)
  • Neural network layers

Edge Cases

  • Zero gradients
  • Very large gradients
  • Discontinuous functions
  • Non-differentiable points

Acceptance Criteria

  • All 5 classes tested
  • Gradients match numerical computation
  • Compare against PyTorch autograd
  • Checkpointing verified
  • 80%+ coverage

References

Activity

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