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* add frontend minst test * to use torch nightly with torchvision * remove incorrect comment per reviewer's comment * experiment torchvision import failure * experiment install_deps.sh * more experiment install_deps.sh * experiment install_deps.sh with --upgrade * Experiment with install_deps.sh. * Experiment with install_ubuntu.sh. * Use Ubuntu 18.04 and Python 3.6 for CI. * Update cmake version for CI. * Install MPI on Ubuntu 18.04 for CI. * Increase tolerance for MNIST test. * Go back to Ubuntu 16.04 for CI, fix installing from deadsnakes ppa. * Clean-up. * Update ort_trainer.py from ort_training. * Get default Ubuntu Python ver back to 3.5. * Add underscore to opset_version parameter name in ORTTrainer constructor. * Move loss/model wrap before the call for sample output. * Update expected values for MNIST test. Co-authored-by: liqun <liqun@OrtTrainingDev4.af05slrtruoetgaxwwjv5nsq5e.px.internal.cloudapp.net> Co-authored-by: Sergii Dymchenko <sedymche@microsoft.com> |
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| .. | ||
| scripts | ||
| cuda_manylinux2010.repo | ||
| Dockerfile.arm_yocto | ||
| Dockerfile.centos | ||
| Dockerfile.centos6 | ||
| Dockerfile.centos6_gpu | ||
| Dockerfile.fedora | ||
| Dockerfile.fedora_gpu | ||
| Dockerfile.manylinux1 | ||
| Dockerfile.manylinux2010 | ||
| Dockerfile.manylinux2010_gpu | ||
| Dockerfile.ubuntu | ||
| Dockerfile.ubuntu_for_android | ||
| Dockerfile.ubuntu_for_arm | ||
| Dockerfile.ubuntu_gpu | ||
| Dockerfile.ubuntu_gpu_cuda9 | ||
| Dockerfile.ubuntu_openvino | ||
| Dockerfile.ubuntu_server | ||
| Dockerfile.ubuntu_tensorrt | ||
| Dockerfile.ubuntu_x86 | ||