Part 3: GPU Computing: CuPy and PyTorch Tensors
Chapter 12: PyTorch Tensors as a Scientific Computing Tool
Intermediate~150 min
Learning Objectives
- Create and manipulate PyTorch tensors with GPU acceleration
- Use autograd for automatic differentiation of scientific computations
- Handle complex-valued tensors in PyTorch for signal processing applications
- Move data efficiently between NumPy, CuPy, and PyTorch without unnecessary copies
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