Techniques and Code Snippets to Accelerate Generative Model Inference Time
Accelerating Inference Time
Model Quantization:
- Reduce model size by converting weights from float32 to int8.
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Batch Processing:
- Process multiple inputs at once to utilize computational resources effectively.
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Use Efficient Libraries:
- Leverage libraries like ONNX Runtime for optimized execution.
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Reduce Input Size:
- Truncate inputs to minimize processing time.
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Caching Responses:
- Cache frequent queries to avoid recomputation.
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