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dlc_developer_config.toml
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dlc_developer_config.toml
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[dev]
# Set to "huggingface", for example, if you are a huggingface developer. Default is ""
partner_developer = ""
# Please only set it to true if you are preparing an EI related PR
# Do remember to revert it back to false before merging any PR (including EI dedicated PR)
ei_mode = false
# Please only set it to true if you are preparing a NEURON related PR
# Do remember to revert it back to false before merging any PR (including NEURON dedicated PR)
neuron_mode = false
# Please only set it to true if you are preparing a NEURONX related PR
# Do remember to revert it back to false before merging any PR (including NEURONX dedicated PR)
neuronx_mode = false
# Please only set it to true if you are preparing a GRAVITON related PR
# Do remember to revert it back to false before merging any PR (including GRAVITON dedicated PR)
graviton_mode = false
# Please only set it to True if you are preparing a HABANA related PR
# Do remember to revert it back to False before merging any PR (including HABANA dedicated PR)
habana_mode = false
# Please only set it to True if you are preparing a HUGGINGFACE TRCOMP related PR
# Do remember to revert it back to False before merging any PR (including HUGGINGFACE TRCOMP dedicated PR)
# This mode is used to build TF 2.6 and PT1.11 DLC
huggingface_trcomp_mode = false
# Please only set it to True if you are preparing a TRCOMP related PR
# Do remember to revert it back to False before merging any PR (including TRCOMP dedicated PR)
# This mode is used to build PT1.12 and above DLC
trcomp_mode = false
# Please only set it to True if you are preparing a Benchmark related PR
# Do remember to revert it back to False before merging any PR (including Benchmark dedicated PR)
benchmark_mode = false
[build]
# Add in frameworks you would like to build. By default, builds are disabled unless you specify building an image.
# available frameworks - ["autogluon", "huggingface_tensorflow", "huggingface_pytorch", "huggingface_tensorflow_trcomp", "huggingface_pytorch_trcomp", "pytorch_trcomp", "tensorflow", "mxnet", "pytorch", "stabilityai_pytorch"]
build_frameworks = []
# By default we build both training and inference containers. Set true/false values to determine which to build.
build_training = true
build_inference = true
# Set to false in order to remove datetime tag on PR builds
datetime_tag = true
# Note: Need to build the images at least once with datetime_tag = false
# before disabling new builds, or tests will fail
do_build = true
[test]
### On by default
sanity_tests = true
safety_check_test = false
ecr_scan_allowlist_feature = false
ecs_tests = true
eks_tests = true
ec2_tests = true
### Set ec2_efa_tests = true to be able to run any EC2 tests on any instance type that uses EFA-capable instances by
### default. If false, these types of tests will be skipped while other tests will run as usual.
### EC2 EFA tests are run in EC2 test jobs, so ec2_tests must be true if ec2_efa_tests is true.
### Off by default (set to false)
ec2_efa_tests = false
### SM specific tests
### Off by default
sagemaker_local_tests = false
# SM remote test valid values:
# "off" --> do not trigger sagemaker remote tests (default)
# "standard" --> run standard sagemaker remote tests from test/sagemaker_tests
# "rc" --> run release_candidate_integration tests
# "efa" --> run efa sagemaker tests
sagemaker_remote_tests = "off"
# SM remote EFA test instance type
sagemaker_remote_efa_instance_type = ""
# Run CI tests for nightly images
# false by default
nightly_pr_test_mode = false
use_scheduler = false
[buildspec_override]
# Assign the path to the required buildspec file from the deep-learning-containers folder
# For example:
# dlc-pr-tensorflow-2-habana-training = "habana/tensorflow/training/buildspec-2-10.yml"
# dlc-pr-pytorch-inference = "pytorch/inference/buildspec-1-12.yml"
# Setting the buildspec file path to "" allows the image builder to choose the default buildspec file.
### TRAINING PR JOBS ###
# Standard Framework Training
dlc-pr-mxnet-training = ""
dlc-pr-pytorch-training = ""
dlc-pr-tensorflow-2-training = ""
dlc-pr-autogluon-training = ""
# HuggingFace Training
dlc-pr-huggingface-tensorflow-training = ""
dlc-pr-huggingface-pytorch-training = ""
# Training Compiler
dlc-pr-huggingface-pytorch-trcomp-training = ""
dlc-pr-huggingface-tensorflow-2-trcomp-training = ""
dlc-pr-pytorch-trcomp-training = ""
# Neuron Training
dlc-pr-mxnet-neuron-training = ""
dlc-pr-pytorch-neuron-training = ""
dlc-pr-tensorflow-2-neuron-training = ""
# Stability AI Training
dlc-pr-stabilityai-pytorch-training = ""
# Habana Training
dlc-pr-pytorch-habana-training = ""
dlc-pr-tensorflow-2-habana-training = ""
### INFERENCE PR JOBS ###
# Standard Framework Inference
dlc-pr-mxnet-inference = ""
dlc-pr-pytorch-inference = ""
dlc-pr-tensorflow-2-inference = ""
dlc-pr-autogluon-inference = ""
# Neuron Inference
dlc-pr-mxnet-neuron-inference = ""
dlc-pr-pytorch-neuron-inference = ""
dlc-pr-tensorflow-1-neuron-inference = ""
dlc-pr-tensorflow-2-neuron-inference = ""
# HuggingFace Inference
dlc-pr-huggingface-tensorflow-inference = ""
dlc-pr-huggingface-pytorch-inference = ""
dlc-pr-huggingface-pytorch-neuron-inference = ""
# Stability AI Inference
dlc-pr-stabilityai-pytorch-inference = ""
# Graviton Inference
dlc-pr-mxnet-graviton-inference = ""
dlc-pr-pytorch-graviton-inference = ""
dlc-pr-tensorflow-2-graviton-inference = ""
# EIA Inference
dlc-pr-mxnet-eia-inference = ""
dlc-pr-pytorch-eia-inference = ""
dlc-pr-tensorflow-2-eia-inference = ""