George Wu

/azp run Big Models, Linux Android Emulator QNN CI Pipeline, Windows GPU CUDA CI Pipeline, Windows GPU DML CI Pipeline, Windows GPU Doc Gen CI Pipeline

/azp run Windows ARM64 QNN CI Pipeline, Windows CPU CI Pipeline, Windows GPU TensorRT CI Pipeline, Windows x64 QNN CI Pipeline, orttraining-linux-ci-pipeline, orttraining-linux-gpu-ci-pipeline

I think it's missing the steps to install CuDNN which is also a dependency https://onnxruntime.ai/docs/install/#cuda-and-cudnn

https://onnxruntime.ai/docs/api/python/api_summary.html#onnxruntime.get_all_providers ``` >>> import onnxruntime >>> onnxruntime.get_all_providers() ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'MIGraphXExecutionProvider', 'ROCMExecutionProvider', 'OpenVINOExecutionProvider', 'DnnlExecutionProvider', 'TvmExecutionProvider', 'VitisAIExecutionProvider', 'QNNExecutionProvider', 'NnapiExecutionProvider', 'VSINPUExecutionProvider', 'JsExecutionProvider', 'CoreMLExecutionProvider', 'ArmNNExecutionProvider', 'ACLExecutionProvider', 'DmlExecutionProvider', 'RknpuExecutionProvider', 'WebNNExecutionProvider', 'XnnpackExecutionProvider', 'CANNExecutionProvider', 'AzureExecutionProvider', 'CPUExecutionProvider'] ```...