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1. Update google benchmark from 1.8.3 to 1.8.5 2. Update google test from commit in main branch to tag 1.15.0 3. Update pybind11 from 2.12.0 to 2.13.1 4. Update pytorch cpuinfo to include the support for Arm Neoverse V2, Cortex X4, A720 and A520. 5. Update re2 from 2024-05-01 to 2024-07-02 6. Update cmake to 3.30.1 7. Update Linux docker images 8. Fix a warning in test/perftest/ort_test_session.cc:826:37: error: implicit conversion loses integer precision: 'streamoff' (aka 'long long') to 'const std::streamsize' (aka 'const long') [-Werror,-Wshorten-64-to-32] |
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| .. | ||
| inference | ||
| scripts | ||
| Dockerfile.aten_cpu | ||
| Dockerfile.lort_cpu | ||
| 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.package_ubi8_cuda11_8_tensorrt8_6 | ||
| Dockerfile.package_ubi8_cuda_tensorrt10_0 | ||
| Dockerfile.package_ubi8_cuda_tensorrt10_0_torch | ||
| Dockerfile.package_ubuntu_2004_gpu | ||
| Dockerfile.package_ubuntu_2004_gpu_ffmpeg | ||
| Dockerfile.ubuntu_cuda11_8_tensorrt8_6 | ||
| Dockerfile.ubuntu_cuda11_tensorrt10 | ||
| Dockerfile.ubuntu_cuda12_3_tensorrt8_6 | ||
| Dockerfile.ubuntu_cuda12_tensorrt10 | ||
| Dockerfile.ubuntu_gpu_training | ||
| Dockerfile.ubuntu_openvino | ||
| Dockerfile.ubuntu_tensorrt_bin | ||
| manylinux.patch | ||
| migraphx-ci-pipeline-env.Dockerfile | ||