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PyTorch内存优化的10种策略总结:在有限资源环境下高效训练模型
混合精度训练通过结合16位 ( FP16 )和32位 ( FP32)浮点格式来保持计算准确性。使用16位精度计算梯度可显著加快计算速度并减少内存消耗,同时维持与32位分辨率相当的结果质量。这种方法在计算资源受限的环境中尤为有效。
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