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### Description * Update name of existing dockerfiles and add support to test latest TensorRT EA binary located in the image * Add cuda 12.3/cuDNN 9/TensorRT 8.6 dockerfile * Add detail to CI prompts and configs Instruction to test latest TRT via BIN: 1. Select `BIN` in TensorRT Version 2. In Variables, update related tarCudaVersion, **clear** tarCudnnVersion (not required in latest TRT tar binary) , and path to binary. |
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| .. | ||
| inference | ||
| scripts | ||
| Dockerfile.manylinux2_28_cpu | ||
| Dockerfile.manylinux2_28_cuda | ||
| Dockerfile.manylinux2_28_rocm | ||
| Dockerfile.manylinux2_28_training_cuda11_8 | ||
| Dockerfile.manylinux2_28_training_cuda12_2 | ||
| Dockerfile.manylinux2014_aten_cpu | ||
| Dockerfile.manylinux2014_lort_cpu | ||
| Dockerfile.package_ubi8_cuda11_8_tensorrt8_6 | ||
| Dockerfile.package_ubuntu_2004_gpu | ||
| Dockerfile.ubuntu_cuda11_6_tensorrt8_4 | ||
| Dockerfile.ubuntu_cuda11_8_tensorrt8_5 | ||
| Dockerfile.ubuntu_cuda11_8_tensorrt8_6 | ||
| Dockerfile.ubuntu_cuda12_3_tensorrt8_6 | ||
| Dockerfile.ubuntu_gpu_training | ||
| Dockerfile.ubuntu_openvino | ||
| Dockerfile.ubuntu_tensorrt_bin | ||
| Dockerfile_manylinux2014_openvino_multipython | ||
| manylinux.patch | ||
| migraphx-ci-pipeline-env.Dockerfile | ||