deep-learning-containers
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aws
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
*GitHub Issue #, if available:* Note: If merging this PR should also close the associated Issue, please also add that Issue # to the Linked Issues section on the right....
*GitHub Issue #, if available:* Note: If merging this PR should also close the associated Issue, please also add that Issue # to the Linked Issues section on the right....
*GitHub Issue #, if available:* Note: If merging this PR should also close the associated Issue, please also add that Issue # to the Linked Issues section on the right....
*GitHub Issue #, if available:* Note: If merging this PR should also close the associated Issue, please also add that Issue # to the Linked Issues section on the right....
*GitHub Issue #, if available:* Note: If merging this PR should also close the associated Issue, please also add that Issue # to the Linked Issues section on the right....
*GitHub Issue #, if available:* Resolves Issue #1816 By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license. I confirm...
* Sagemaker dockerfiles for tensorflow 2.10 * use python3.9 * cuda11.2
* Sagemaker dockerfiles for tensorflow 2.10 * use python3.9 * cuda11.2 * nccl 2.12.10
*GitHub Issue #, if available:* Note: If merging this PR should also close the associated Issue, please also add that Issue # to the Linked Issues section on the right....
*GitHub Issue #, if available:* Note: If merging this PR should also close the associated Issue, please also add that Issue # to the Linked Issues section on the right....
