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Goal: Benchmark attention/MLP layers on CPU, GPU, and Apple M-series. Deliverable: Latency, FLOPs utilization, memory bottlenecks. Grading: Benchmark correctness (30%), Comparison depth (40%), Report (30%). Reference: pytorch/examplesLinks to an external site.
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