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Siavash Haghiri
Same problem here, while resnet 18 takes about 1.5 gb of memory, efficientnet-b0 takes more than 4 gb!! efficient net has about 5M parameters while resnet 18 has about 11M....
Having the same issue here. Also tried other versions of onnxruntime-gpu (1.4.0 to 1.7.0)
> FYI - I hit the same bug with the ONNX model in releases, and was able to resolve it by converting the TensorFlow model (detector_v2_default_checkpoint_tf) to opset 11. I...