ResourceExhaustedError while using EfficientNet

[talhaanwarch]

I am using google colab. While using EfficientNetB3 i am getting the following error
Resource exhausted: OOM when allocating tensor with shape[15,95,95,192] and type float

I understand this because my data does not fit in GPU. But when I try InceptionResNetV2 i did not get any error.

Number of trainable parameters in EfficientNetB3 is 22,220,824
Number of trainable parameters in InceptionResNetV2 is 109,380,744

Number of trainable parameters in InceptionResNetV2 are 5 time more than EfficientNetB3. So I am expecting InceptionResNetV2to throw error not EfficientNetB3.

Any idea why I am getting resource error in EfficientNetB3?

Note: I am using two parallel networks and these parameters are the sum of both network's parameters.

[Samjith888]

Have you tried with lesser batch size?

[RunningDongxu]

It seems EfficientNet consumes more GPU memory than Resnet and Densenet. Has anyone solved the issue?