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https://github.com/saymrwulf/onnxruntime.git
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2b8677b210
1. Add openvino GPU nightly build pipeline, this test is running on Intel Up square Edge device. The device are host locally not from Azure VM. We persist a smaller model test data on Edge device. 2. Update the build condition for openvino GPU so it works for GPU_FP32, GPU_FP16 3. add option to install_ubuntu.sh to exclude the package used for nuphar, so that we can save some disk space as the Edge device usually have limited disk space. |
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| .. | ||
| scripts | ||
| cuda_manylinux2010.repo | ||
| Dockerfile.fedora | ||
| Dockerfile.fedora_gpu | ||
| Dockerfile.manylinux2010 | ||
| Dockerfile.manylinux2010_gpu | ||
| Dockerfile.ubuntu | ||
| Dockerfile.ubuntu_for_android | ||
| Dockerfile.ubuntu_gpu | ||
| Dockerfile.ubuntu_gpu_cuda9 | ||
| Dockerfile.ubuntu_openvino | ||
| Dockerfile.ubuntu_server | ||
| Dockerfile.ubuntu_tensorrt | ||
| Dockerfile.ubuntu_x86 | ||