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fix: remove emacs, upgrade certifi to address cve #4607
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dlc_developer_config.toml: { 'build': { 'build_frameworks': [ '_home_evakravi_workspace_github_dlc_deep-learning-containers_huggingface_pytorch'], 'build_inference': True, 'build_training': False}, 'buildspec_override': { 'dlc-pr--home-evakravi-workspace-github-dlc-deep-learning-containers-huggingface-pytorch-neuronx-inference': '/home/evakravi/workspace/github/dlc/deep-learning-containers/huggingface/pytorch/inference/buildspec-neuronx.yml'}, 'dev': { 'arm64_mode': False, '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, 'security_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-neuronx.yml'}, 'dev': { 'arm64_mode': False, '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, 'security_tests': True}}
dlc_developer_config.toml
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@@ -1,162 +1,74 @@ | |||
[dev] | |||
# Set to "huggingface", for example, if you are a huggingface developer. Default is "" |
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Why have these comments been removed?
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this is an autogenerated file. it is changed in order to kickoff integ tests in the PR hook. I will revert the changes in this file prior to merging.
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LGTM!
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.
All PR's are checked weekly for staleness. This PR will be closed if not updated in 30 days.
Description
emacs
dependency to address CVE-2022-48337 in HF pytorch neuronx containercertifi
dependency to address CVE-2023-37920 in HF pytorch neuronx containerTests 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.