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如题,在L20上跑的 0.1.6 UniMERNet模型大致为800ms 0.2.0 tiny需要1200ms
The text was updated successfully, but these errors were encountered:
您能提供一些更加具体的信息吗。如果是对单个样本容易出现这样的偏差,比如不同模型输出长度不同,耗时情况也会不同。我们评测时是固定模型输出长度来测试模型的平均推理速度。另外关于测试的一些细节可以参考https://github.com/opendatalab/UniMERNet/issues/22
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如题,在L20上跑的
0.1.6 UniMERNet模型大致为800ms
0.2.0 tiny需要1200ms
The text was updated successfully, but these errors were encountered: