Dingzhong Zhang comments

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                                            Dingzhong Zhang

The structure of the 3D KiUNet model is incorrect

@jeya-maria-jose out1 = torch.add(out1,F.interpolate(F.relu(self.inte3_2bn(self.intere3_2(tmp))),scale_factor=(2,16,16),mode ='trilinear')) RuntimeError: The size of tensor a (6) must match the size of tensor b (2) at non-singleton dimension 2

[Issue still exists in TRT 10.1] Fail to build the engine if input tensor number > 2^31

any updates? :)

[Issue still exists in TRT 10.4] Fail to build the engine if input tensor number > 2^31

@moraxu Hi, thanks for the reply. I am using Ubuntu 22.04, NVIDIA-SMI: 525.147.05 Driver Version: 525.147.05 CUDA Version: 12.0, RTX A4500 with 16G RAM. Sorry I cannot share my codes...

[Issue still exists in TRT 10.4] Fail to build the engine if input tensor number > 2^31

@moraxu Hi thanks for the useful information! I assume that TensorRT is using this Conv operator (nvinfer1::IConvolutionLayer Class) when running inference. Because I did not use it directly in my...

[Issue still exists in TRT 10.4] Fail to build the engine if input tensor number > 2^31

@moraxu Thanks! It would be very helpful if the input tensor number could be > 2^31, which means we can input the original 512x512x512 image for inference without losing any...