archai/.gitignore

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# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
# Unwanted files and folders
.amltconfig
amlt/
!.vscode/*.json
**/*.bin
**/*.csv
**/*.db
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**/*.json
**/*.log*
**/*.onnx
**/*.pkl
**/*.pt
**/*.pth
**/*.th
# Docker build .env files
.env
devices/docker/build.ps1
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
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lib/
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lib64/
parts/
sdist/
var/
wheels/
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pip-wheel-metadata/
share/python-wheels/
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*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
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# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
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.nox/
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.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
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*.py,cover
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.hypothesis/
.pytest_cache/
# Translations
*.mo
*.pot
# Django stuff:
*.log
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*.log.*
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local_settings.py
db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
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# pyenv
.python-version
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# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
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celerybeat-schedule
celerybeat.pid
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# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
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.azureml/
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# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
/.gtm/
.dmypy.json
dmypy.json
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# Pyre type checker
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.pyre/
output/
# Azure notebooks
mlruns/
dataroot/
temp_code/
mnist_test_run*/
logs/
output/
snpe-2.5.0.4052.zip
android-ndk-r25b-linux.zip
android-ndk-r25c-linux.zip
Add Azure ML running to the face segmentation task. (#217) * add code owners * initial commit, beginnings of AML version of face synthetics search pipeline. * Add download_and_extract_zip Add download capability to FaceSyntheticsDataset Fix face segmentation data prep script. * fix bugs * cleanup launch.json * cleanup launch.json add download capability to FaceSyntheticsDataset add download_and_extract_zip helper * fix file count test * work in progress * work in progress * unify snpe status table and aml training table. * fix experiment referencing * fix experiment referencing * work in progress * fix complete status * fix bugs * fix bug * fix metric key, we have 2, one for remote snpe, and another for aml training pipelines. * pass seed through to the search.py script. * fix use of AzureMLOnBehalfOfCredential * fix bugs * fix bugs * publish new image * fix bugs * fix bugs * fix bug * maerge * revert * new version * fix bugs * rename the top level folder from 'snpe' to 'aml' and move all AML code into this folder except the top level entry point 'aml.py' make the keys returned from the JobCompletionMonitor wait method configurable Rename AmlPartialTrainingEvaluator and make it restartable. Turn off save_pareto_model_weights Remove redundant copy of JobCompletionMonitor * rev the versions. * updates to readme information. * only inference testing targets are 'cpu' and 'snp', trigger the aml partial training by a different key in the config file. * add iteration info * new version. * fix ordering of results from AmlPartialTrainingEvaluator * change AML batch size default to 64 for faster training don't store MODEL_STORAGE_CONNECTION_STRING * Fix bug in merge_status_entity, add more unit test coverage * new version * Store training time in status table. * improve diagram. * save iteration in status table. * pick up new version of archai to fix randomness bug in the EvolutionParetoSearch so that these search jobs are restartable.
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tasks/face_segmentation/aml/docker/quantizer/quantizer.yaml
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tasks/face_segmentation/.vscode/launch.json
Add Azure ML running to the face segmentation task. (#217) * add code owners * initial commit, beginnings of AML version of face synthetics search pipeline. * Add download_and_extract_zip Add download capability to FaceSyntheticsDataset Fix face segmentation data prep script. * fix bugs * cleanup launch.json * cleanup launch.json add download capability to FaceSyntheticsDataset add download_and_extract_zip helper * fix file count test * work in progress * work in progress * unify snpe status table and aml training table. * fix experiment referencing * fix experiment referencing * work in progress * fix complete status * fix bugs * fix bug * fix metric key, we have 2, one for remote snpe, and another for aml training pipelines. * pass seed through to the search.py script. * fix use of AzureMLOnBehalfOfCredential * fix bugs * fix bugs * publish new image * fix bugs * fix bugs * fix bug * maerge * revert * new version * fix bugs * rename the top level folder from 'snpe' to 'aml' and move all AML code into this folder except the top level entry point 'aml.py' make the keys returned from the JobCompletionMonitor wait method configurable Rename AmlPartialTrainingEvaluator and make it restartable. Turn off save_pareto_model_weights Remove redundant copy of JobCompletionMonitor * rev the versions. * updates to readme information. * only inference testing targets are 'cpu' and 'snp', trigger the aml partial training by a different key in the config file. * add iteration info * new version. * fix ordering of results from AmlPartialTrainingEvaluator * change AML batch size default to 64 for faster training don't store MODEL_STORAGE_CONNECTION_STRING * Fix bug in merge_status_entity, add more unit test coverage * new version * Store training time in status table. * improve diagram. * save iteration in status table. * pick up new version of archai to fix randomness bug in the EvolutionParetoSearch so that these search jobs are restartable.
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tasks/face_segmentation/conda.yaml