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Chore: CVE patching for huggingface-pytorch-inference-neuronx image #4215
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Sep 10, 2024
dlc_developer_config.toml: { 'build': { 'build_frameworks': ['huggingface_pytorch'], 'build_inference': True, 'build_training': False}, 'buildspec_override': { 'dlc-pr-huggingface-pytorch-neuronx-inference': 'huggingface/pytorch/inference/buildspec-1-13-1-neuronx.yml'}, 'dev': { 'deep_canary_mode': False, 'graviton_mode': False, 'neuronx_mode': True}, 'test': { 'ec2_tests': True, 'ecs_tests': True, 'eks_tests': True, 'sagemaker_local_tests': True, 'sagemaker_remote_tests': True, 'sanity_tests': True}}
dlc_developer_config.toml: { 'build': { 'build_frameworks': ['huggingface_pytorch'], 'build_inference': True, 'build_training': False}, 'buildspec_override': { 'dlc-pr-huggingface-pytorch-neuronx-inference': 'huggingface/pytorch/inference/buildspec-1-13-1-neuronx.yml'}, 'dev': { 'deep_canary_mode': False, 'graviton_mode': False, 'neuronx_mode': True}, 'test': { 'ec2_tests': True, 'ecs_tests': True, 'eks_tests': True, 'sagemaker_local_tests': True, 'sagemaker_remote_tests': True, 'sanity_tests': True}}
dlc_developer_config.toml: { 'build': { 'build_frameworks': ['huggingface_pytorch'], 'build_inference': True, 'build_training': False}, 'buildspec_override': { 'dlc-pr-huggingface-pytorch-neuronx-inference': 'huggingface/pytorch/inference/buildspec-1-13-1-neuronx.yml'}, 'dev': { 'deep_canary_mode': False, 'graviton_mode': False, 'neuronx_mode': True}, 'test': { 'ec2_tests': True, 'ecs_tests': True, 'eks_tests': True, 'sagemaker_local_tests': True, 'sagemaker_remote_tests': True, 'sanity_tests': True}}
This PR has been marked stale as a result of being open for 30 days without activity or updates. Please remove the stale label or comment in order to keep this open, otherwise the PR will be closed in 5 days. |
This PR has had no activity or updates in the last 5 days since being marked stale. Closing this PR as a result. |
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Reflects file change in build folder
huggingface
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Description
Tests run
NOTE: By default, docker builds are disabled. In order to build your container, please update dlc_developer_config.toml and specify the framework to build in "build_frameworks"
Confused on how to run tests? Try using the helper utility...
Assuming your remote is called
origin
(you can find out more withgit remote -v
)...python src/prepare_dlc_dev_environment.py -b </path/to/buildspec.yml> -cp origin
python src/prepare_dlc_dev_environment.py -b </path/to/buildspec.yml> -t sanity_tests -cp origin
python src/prepare_dlc_dev_environment.py -rcp origin
NOTE: If you are creating a PR for a new framework version, please ensure success of the standard, rc, and efa sagemaker remote tests by updating the dlc_developer_config.toml file:
Expand
sagemaker_remote_tests = true
sagemaker_efa_tests = true
sagemaker_rc_tests = true
Additionally, please run the sagemaker local tests in at least one revision:
sagemaker_local_tests = true
Formatting
black -l 100
on my code (formatting tool: https://black.readthedocs.io/en/stable/getting_started.html)DLC image/dockerfile
Builds to Execute
Expand
Fill out the template and click the checkbox of the builds you'd like to execute
Note: Replace with <X.Y> with the major.minor framework version (i.e. 2.2) you would like to start.
build_pytorch_training_<X.Y>_sm
build_pytorch_training_<X.Y>_ec2
build_pytorch_inference_<X.Y>_sm
build_pytorch_inference_<X.Y>_ec2
build_pytorch_inference_<X.Y>_graviton
build_tensorflow_training_<X.Y>_sm
build_tensorflow_training_<X.Y>_ec2
build_tensorflow_inference_<X.Y>_sm
build_tensorflow_inference_<X.Y>_ec2
build_tensorflow_inference_<X.Y>_graviton
Additional context
PR Checklist
Expand
NEURON/GRAVITON Testing Checklist
dlc_developer_config.toml
in my PR branch by settingneuron_mode = true
orgraviton_mode = true
Benchmark Testing Checklist
dlc_developer_config.toml
in my PR branch by settingec2_benchmark_tests = true
orsagemaker_benchmark_tests = true
Pytest Marker Checklist
Expand
@pytest.mark.model("<model-type>")
to the new tests which I have added, to specify the Deep Learning model that is used in the test (use"N/A"
if the test doesn't use a model)@pytest.mark.integration("<feature-being-tested>")
to the new tests which I have added, to specify the feature that will be tested@pytest.mark.multinode(<integer-num-nodes>)
to the new tests which I have added, to specify the number of nodes used on a multi-node test@pytest.mark.processor(<"cpu"/"gpu"/"eia"/"neuron">)
to the new tests which I have added, if a test is specifically applicable to only one processor typeBy submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license. I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.