Resize Layer did not supported in DLA

Hi,
The Resize Layer was fallbacked to GPU.
I am already updated to Jetpack 4.6 and the version of Tensorrt is 8.0. So, I think the resize layer is already supported.
I use the commandtrtexec --onnx=test.onnx --useDLACore=0 --fp16 --allowGPUFallback to run the smallest onnx model.
test.onnx (348 Bytes)

Any ideas about how to support the resize layer in DLA?

Best Regards

Hi,

Is your resize layer meet the below requirement:
https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#dla_layers

Resize layer

  • Only Nearest Neighbor resize mode is supported.
  • The number of scales has to be exactly 4.
  • The first two elements in scales need to be exactly 1 (for unchanged batch and channel dimensions).
  • The last two elements in scales, representing the scale values along height and width dimensions, respectively, need to be integer values in the range of [1, 32].

Thanks.

Hi,

Thanks for replying.
I thought I already meet the requirement.

Best Regards

Hi, is there any update about this resize layer problem?

Hi, look at this problem, please

Hi,

Thanks for your patience.

We are checking this issue internally.
Will share more information with you later.

Thanks.

Hi, any progress with this issue?