Techniques include quantization, graph fusion, optimized kernels, caching, pruning, distillation, and batching. Each change is validated against quality and numerical tolerances because faster execution can alter outputs.
Inference optimization changes execution, representation, or scheduling to reduce model latency, memory use, or cost.
Techniques include quantization, graph fusion, optimized kernels, caching, pruning, distillation, and batching. Each change is validated against quality and numerical tolerances because faster execution can alter outputs.