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### Description * Reverting default TensorRT version to 8.5 as temporary fix * Apart from that, this PR temporarily leaves this CI as a place to validate user behavior that uses TRT 8.5 with latest ORT ### Context * This CI pool equips 2xTesla M60 GPUs, which are no longer supported by TensorRT 8.6. * Currently, other CIs are using single-T4 VM but there's no VM with 2xT4 or other suitable dualGPU in the range. * Once we decide which VM instance for this CI to migrate to, TRT8.6 can be enabled on this CI * According to [Nvidia](https://docs.nvidia.com/deeplearning/tensorrt/release-notes/index.html): * TensorRT 8.5.3 was the last release supporting NVIDIA Kepler (SM 3.x) and NVIDIA Maxwell (SM 5.x) devices. *These devices are no longer supported in TensorRT 8.6*. NVIDIA Pascal (SM 6.x) devices are deprecated in TensorRT 8.6. |
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| .. | ||
| inference | ||
| scripts | ||
| Dockerfile.arm_yocto | ||
| Dockerfile.manylinux2014_aten_cpu | ||
| Dockerfile.manylinux2014_cpu | ||
| Dockerfile.manylinux2014_cuda11 | ||
| Dockerfile.manylinux2014_cuda11_6_tensorrt8_4 | ||
| Dockerfile.manylinux2014_cuda11_6_tensorrt8_5 | ||
| Dockerfile.manylinux2014_cuda11_8_tensorrt8_6 | ||
| Dockerfile.manylinux2014_eager_cpu | ||
| Dockerfile.manylinux2014_lort_cpu | ||
| Dockerfile.manylinux2014_rocm | ||
| Dockerfile.manylinux2014_training_cuda11_8 | ||
| Dockerfile.manylinux_2_27_cpu | ||
| Dockerfile.ubuntu_cuda11_6_tensorrt8_4 | ||
| Dockerfile.ubuntu_cuda11_8_tensorrt8_5 | ||
| Dockerfile.ubuntu_cuda11_8_tensorrt8_6 | ||
| Dockerfile.ubuntu_for_arm | ||
| Dockerfile.ubuntu_gpu_training | ||
| Dockerfile.ubuntu_openvino | ||
| Dockerfile.ubuntu_tensorrt | ||
| Dockerfile.ubuntu_tensorrt_bin | ||
| Dockerfile_manylinux2014_openvino_multipython | ||
| manylinux-entrypoint | ||
| manylinux.patch | ||
| migraphx-ci-pipeline-env.Dockerfile | ||