onnxruntime

ea448619 - Add dedicated Dockerfile for Linux WebGPU EP plugin pipeline

Add dedicated Dockerfile for Linux WebGPU EP plugin pipeline The WebGPU EP has no CUDA dependency (Dawn uses Vulkan on Linux), so having the plugin-linux-webgpu-stage.yml pipeline reuse the CUDA inference Dockerfile pulled in TensorRT/cuDNN unnecessarily and was missing libvulkan.so.1, causing the test job to fail with: Couldn't load Vulkan: libvulkan.so.1: cannot open shared object file Add a new Dockerfile under inference/x86_64/python/webgpu/ modeled on the CPU Dockerfile, based on the CPU build-cache image, with an additional 'dnf install vulkan-loader' step so Dawn can reach the GPU's Vulkan ICD (injected by the NVIDIA Container Toolkit via --gpus all at runtime). Update all three jobs (build, package, test) in plugin-linux-webgpu-stage.yml to use the new Dockerfile and switch the docker_base_image default to the CPU base image.