Inference performance on Tacos

chenjoya / 2dtan

An optimized re-implementation for 2D-TAN: Learning 2D Temporal Localization Networks for Moment Localization with Natural Language (AAAI'2020).

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Inference performance on Tacos #9

Closed wjn922 closed 3 years ago

wjn922 commented 3 years ago

Hi, I use the default setting to train the model on tacos. During testing, when the batch_size is set as 64 (which is the default setting in dafault.py). The performace is normal. However, if I change the batch_size by TEST.BATCH_SIZE 32, the performance would become extremely low. Why would this happen?