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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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| .. | ||
| docker | ||
| ort_minimal | ||
| tvm | ||
| build_cuda_c_api_package.sh | ||
| build_linux_arm64_python_package.sh | ||
| build_yocto.sh | ||
| copy_strip_binary.sh | ||
| create_package.sh | ||
| extract_and_bundle_gpu_package.sh | ||
| java_copy_strip_binary.sh | ||
| java_linux_final_test.sh | ||
| run_build.sh | ||
| run_dockerbuild.sh | ||
| run_python_dockerbuild.sh | ||
| run_python_tests.sh | ||
| test_custom_ops_pytorch_export.sh | ||
| upload_code_coverage_data.sh | ||
| upload_ortsrv_binaries.sh | ||
| yocto_build_toolchain.sh | ||