Yufeng Li

Do you have cuda 11 installed? ORT doesn't pack cuda runtime

/azp run Windows GPU TensorRT CI Pipeline, onnxruntime-binary-size-checks-ci-pipeline, onnxruntime-python-checks-ci-pipeline, orttraining-linux-ci-pipeline, orttraining-linux-gpu-ci-pipeline, orttraining-ortmodule-distributed

/azp run Linux CPU CI Pipeline, Linux CPU Minimal Build E2E CI Pipeline, Linux GPU CI Pipeline, Linux GPU TensorRT CI Pipeline, Linux Nuphar CI Pipeline, Linux OpenVINO CI Pipeline,...

/azp run Windows CPU CI Pipeline,Windows GPU CI Pipeline

> ### Description > DynamicQuantizeLinear only supports uint 8. This PR adds support for int8 and float 8. > > ### Motivation and Context > The operator is used to...

What's the benefit to do this? Q/DQ is very general functionality. Supposedly, each framework that depends on ONNX has an implementation of them.

@Johansmm, we now only support per-channel for weight not activation. The reason is that it is not easy to make underlying kernel faster to support per-channel for both weight and...

/azp run ONNX Runtime Web CI Pipeline,Linux CPU CI Pipeline,Linux GPU CI Pipeline,orttraining-amd-gpu-ci-pipeline,Android CI Pipeline,iOS CI Pipeline,ONNX Runtime React Native CI Pipeline

/azp run Linux OpenVINO CI Pipeline,Linux QNN CI Pipeline,MacOS CI Pipeline,orttraining-amd-gpu-ci-pipeline,orttraining-linux-ci-pipeline,orttraining-linux-gpu-ci-pipeline,orttraining-ortmodule-distributed,onnxruntime-binary-size-checks-ci-pipeline,Big Models,Android CI Pipeline

/azp run ONNX Runtime Web CI Pipeline,Linux CPU CI Pipeline,Linux GPU CI Pipeline,orttraining-amd-gpu-ci-pipeline,Android CI Pipeline,iOS CI Pipeline,ONNX Runtime React Native CI Pipeline