SE-ResNeXt101-32x4d Triton deployment for PyTorch

This resource is a subproject of se_resnext_for_pytorch. Visit the parent project to download the code and get more information about the setup.

The SE-ResNeXt101-32x4d is a ResNeXt101-32x4d model with added Squeeze-and-Excitation module introduced in Squeeze-and-Excitation Networks paper.

The SE-ResNeXt101-32x4d model can be deployed for inference on the NVIDIA Triton Inference Server using TorchScript, ONNX Runtime or TensorRT as an execution backend.