EfficientNet-PyTorch
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inference a batch images in one time
how can i using efficientnet to inference a batch images in one time, not circle inference in every image.
What do you mean? Something different from normal pytorch batching?
If you use Dataloader, the simplest way is to change the batch_size to the size of your dataset. Be sure that you have enough memory to do that.