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DevakiBolleneni
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dlc_developer_config.toml

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@@ -37,12 +37,12 @@ deep_canary_mode = false
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[build]
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# Add in frameworks you would like to build. By default, builds are disabled unless you specify building an image.
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# available frameworks - ["base", "vllm", "sglang", "autogluon", "huggingface_tensorflow", "huggingface_pytorch", "huggingface_tensorflow_trcomp", "huggingface_pytorch_trcomp", "pytorch_trcomp", "tensorflow", "pytorch", "stabilityai_pytorch"]
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build_frameworks = ["pytorch"]
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build_frameworks = []
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# By default we build both training and inference containers. Set true/false values to determine which to build.
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build_training = true
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build_inference = false
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build_inference = true
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# Set do_build to "false" to skip builds and test the latest image built by this PR
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# Note: at least one build is required to set do_build to "false"
@@ -98,11 +98,11 @@ ipv6_vpc_name = ""
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# run standard sagemaker remote tests from test/sagemaker_tests
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sagemaker_remote_tests = true
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# run efa sagemaker tests
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sagemaker_efa_tests = true
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sagemaker_efa_tests = false
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# run release_candidate_integration tests
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sagemaker_rc_tests = true
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sagemaker_rc_tests = false
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# run sagemaker benchmark tests
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sagemaker_benchmark_tests = true
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sagemaker_benchmark_tests = false
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# SM remote EFA test instance type
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sagemaker_remote_efa_instance_type = ""
@@ -124,7 +124,7 @@ nightly_pr_test_mode = false
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dlc-pr-base = ""
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# Standard Framework Training
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dlc-pr-pytorch-training = "pytorch/training/buildspec-2-8-sm.yml"
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dlc-pr-pytorch-training = ""
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dlc-pr-tensorflow-2-training = ""
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dlc-pr-autogluon-training = ""
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