dlc_developer_config.toml

[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
# Set deep_canary_mode to true to simulate Deep Canary Test conditions on PR for all frameworks in the
# build_frameworks list below. This will cause all image builds and non-deep-canary tests on the PR to be skipped,
# regardless of whether they are enabled or disabled below.
# Set graviton_mode to true to run Deep Canaries on Graviton images.
# Do remember to revert it back to false before merging any PR.
deep_canary_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 do_build to "false" to skip builds and test the latest image built by this PR
# Note: at least one build is required to set do_build to "false"
do_build = true

[notify]
### Notify on test failures
### Off by default
notify_test_failures = false
  # Valid values: medium or high
  notification_severity = "medium"

[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 it to true if you are preparing a Benchmark related PR
ec2_benchmark_tests = false

### Set ec2_tests_on_heavy_instances = true to be able to run any EC2 tests that use large/expensive instance types by
### default. If false, these types of tests will be skipped while other tests will run as usual.
### These tests are run in EC2 test jobs, so ec2_tests must be true if ec2_tests_on_heavy_instances is true.
### Off by default (set to false)
ec2_tests_on_heavy_instances = false

### SM specific tests
### On by default
sagemaker_local_tests = true

# run standard sagemaker remote tests from test/sagemaker_tests
sagemaker_remote_tests = true
# run efa sagemaker tests
sagemaker_efa_tests = false
# run release_candidate_integration tests
sagemaker_rc_tests = false
# run sagemaker benchmark tests
sagemaker_benchmark_tests = false

# 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 = ""