Vijay Janapa Reddi 4ea5a4e024 Add TinyTorch Profiler Utility ...

- Add tinytorch.utils.profiler following PyTorch's utils pattern
- Includes SimpleProfiler class for educational performance measurement
- Provides timing, memory usage, and system metrics
- Follows PyTorch's torch.utils.* organizational pattern
- Module 11: Kernels uses profiler for performance demonstrations

Features:
- Wall time and CPU time measurement
- Memory usage tracking (peak, delta, percentages)
- Array information (shape, size, dtype)
- CPU and system metrics
- Clean educational interface for ML performance learning

Import pattern:
  from tinytorch.utils.profiler import SimpleProfiler

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..

profiler

Add TinyTorch Profiler Utility

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__init__.py

Move testing utilities to tito/tools for better software architecture

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