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1. Update CUDA version from 11.4 to 11.6.
2. Update Manylinux version
3. Upgrade GCC version from 10 to 11 for most x86_64 pipelines. CentOS 7 ARM64 doesn't have GCC 11 yet.
4. Refactor python packaging pipeline:
a. Split Linux GPU build job to two parts, build and test, so that the
build part doesn't need to use a GPU machine
b. Make the Linux GPU build job and Linux CPU build job more similar: share the same bash script and yaml file.
5. Temporarily disable Attention_Mask1D_Fp16_B2_FusedNoPadding because it is causing one of our packaging pipeline to fail. I have created an ADO task for this.
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| .. | ||
| inference | ||
| scripts | ||
| Dockerfile.arm_yocto | ||
| Dockerfile.manylinux2014_aten_cpu | ||
| Dockerfile.manylinux2014_cpu | ||
| Dockerfile.manylinux2014_cuda11 | ||
| Dockerfile.manylinux2014_cuda11_4_tensorrt8_0 | ||
| Dockerfile.manylinux2014_cuda11_4_tensorrt8_2 | ||
| Dockerfile.manylinux2014_cuda11_6_tensorrt8_4 | ||
| Dockerfile.manylinux2014_eager_cpu | ||
| Dockerfile.manylinux2014_lort_cpu | ||
| Dockerfile.manylinux2014_rocm5.1.1 | ||
| Dockerfile.manylinux2014_rocm5.2 | ||
| Dockerfile.manylinux2014_rocm5.2.3 | ||
| Dockerfile.manylinux2014_training_cuda11_6 | ||
| Dockerfile.manylinux_2_27_cpu | ||
| Dockerfile.ubuntu_cuda11_4_tensorrt8_0 | ||
| Dockerfile.ubuntu_cuda11_4_tensorrt8_2 | ||
| Dockerfile.ubuntu_cuda11_6_tensorrt8_4 | ||
| Dockerfile.ubuntu_for_arm | ||
| Dockerfile.ubuntu_gpu_training | ||
| Dockerfile.ubuntu_openvino | ||
| Dockerfile.ubuntu_tensorrt | ||
| Dockerfile_manylinux2014_openvino_multipython | ||
| manylinux-entrypoint | ||
| manylinux.patch | ||