Wheelodex » Projects » adaptdl-ray

adaptdl-ray

View on PyPI — Reverse Dependencies (0)

0.2.11 adaptdl_ray-0.2.11-py3-none-any.whl

Wheel Details

Project: adaptdl-ray
Version: 0.2.11
Filename: adaptdl_ray-0.2.11-py3-none-any.whl
Download: [link]
Size: 38855
MD5: 160cb8a803333924b36b27e1f9569ebd
SHA256: 37eb29823ce2c2a0edec1b5850e6a6e9c6cb1628e3e421da52a00bbf75623feb
Uploaded: 2022-04-20 05:32:10 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: adaptdl-ray
Version: 0.2.11
Summary: Dynamic-resource trainer and scheduler for deep learning
Author: Petuum Inc. & The AdaptDL Authors
Author-Email: aurick.qiao[at]petuum.com
Home-Page: https://github.com/petuum/adaptdl
Classifier: Programming Language :: Python :: 3
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: POSIX :: Linux
Requires-Python: >=3.6
Requires-Dist: ray[tune] (>=1.8.0)
Requires-Dist: adaptdl (>=0.0.0)
Requires-Dist: adaptdl-sched (>=0.0.0)
Requires-Dist: requests (>=2.5.0)
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
adaptdl_ray/__init__.py sha256=ycgI2hK4Mr6oOU9nIdpg8Ls-b4aNFvuKjXiCajFDpQM 598
adaptdl_ray/adaptdl/__init__.py sha256=v_MPgXT_Bcr-lMCl_omANdV_nv0knoEGdtdkkTrlAUM 778
adaptdl_ray/adaptdl/adaptdl_allocator.py sha256=3PPJqBQmvb8NNJOAxQRSNJDSqiJ-y7L7GiAAjxAq_Jg 2818
adaptdl_ray/adaptdl/adaptdl_job_mixin.py sha256=um0Hdn0iVB_cZwlTQ3O5JDiN-SPcou8b8BDUk_X2evc 3222
adaptdl_ray/adaptdl/config.py sha256=tbysTPWeTqn_Bc8PB7f7p7fZ9XDwCdujF82BkJdaTX4 2716
adaptdl_ray/adaptdl/config_test.py sha256=4A4pkf5OblU5SU7MTPxp2q7flEPtpCQYNlxqvchCxaQ 1812
adaptdl_ray/adaptdl/utils.py sha256=qRKPMn-3GcJBrNJ7UF8mGmeBs9XIah_XXOlnzO8sUu0 3332
adaptdl_ray/aws/__init__.py sha256=ycgI2hK4Mr6oOU9nIdpg8Ls-b4aNFvuKjXiCajFDpQM 598
adaptdl_ray/aws/_example_worker.py sha256=GcN-BQWjtEgafIIS7-P5QgDCesei_PC9bI9pe3hADtg 1097
adaptdl_ray/aws/_test_setup.py sha256=5dddP2fP1C5es1hVTC2piuY6imh6LpsdKuDRmGRBo4o 786
adaptdl_ray/aws/controller.py sha256=-0nApKWqElvHjItgDcQOReB8GODpL24hJUQXT4Vd774 16232
adaptdl_ray/aws/launch_job.py sha256=3Lhl3OOIi0_SoTyqgMSkoVR2p6x15wxGsc4UNVa3UiE 4851
adaptdl_ray/aws/optimizer.py sha256=__K-WG33EMWzlwcPXuKsdICIDX3FhxeeSuKeKEq0xjI 3009
adaptdl_ray/aws/test_controller.py sha256=4i92ymXzd-O2EnMsawwp6TJbKuUvCzJzW7b0xBOmEIo 11740
adaptdl_ray/aws/test_controller_mocked_ray.py sha256=eQETIGb93Vwfzhtc3F4ao3MyOvLQ7cDTLXhAQRuza7c 5103
adaptdl_ray/aws/test_worker.py sha256=-QFRL_CGGZyi_TXwHRnq-8icNBrI2zEir7TeEu2JHxs 4029
adaptdl_ray/aws/utils.py sha256=TM1VF9P2wvZaGZtF8p51dPL436mo61Qc6US2IQjjKf8 1397
adaptdl_ray/aws/worker.py sha256=9YoVweoUy1XRkmlHg4f-df5w6aaTtq4gQGXhq_vhnCw 5921
adaptdl_ray/tune/__init__.py sha256=ycgI2hK4Mr6oOU9nIdpg8Ls-b4aNFvuKjXiCajFDpQM 598
adaptdl_ray/tune/adaptdl_patch.py sha256=LZElLWQ5n9dHt-sjSMi_zw7UWkPY4RxuyzIzyDLBGcM 2365
adaptdl_ray/tune/adaptdl_trainable.py sha256=ZgBZ8w9GZw9RRM3RECbTUWaIgrnS1VAlx6hiHDMG0I0 5016
adaptdl_ray/tune/adaptdl_trainable_test.py sha256=dxbn6afBJRe23Jztm806sCxMWsNKCJcnKI6u9NVMj5U 1823
adaptdl_ray/tune/adaptdl_trial.py sha256=8R8YYZX-frXymOmGy9l9rndVf9QKMvgExUEPGYBpaZw 7377
adaptdl_ray/tune/adaptdl_trial_sched.py sha256=2GVNCP4JM46Fo9GvdbqfLNdC5OhFtci9DdAWpRo1hEg 5484
adaptdl_ray/tune/adaptdl_trial_test.py sha256=wP3NSgIkDCeQPI5jrXnOpSW8EXjxR_w_K6AGlegPSRg 2264
adaptdl_ray-0.2.11.dist-info/METADATA sha256=8_zhAKxqyPUncyM4xfi9N6vJjg_lcL9Yjf1i3AyIYfI 600
adaptdl_ray-0.2.11.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
adaptdl_ray-0.2.11.dist-info/entry_points.txt sha256=JjzCdoQtgA9OfS2SQglOO3D7NeYlc7iLUMX-WN_qRlM 72
adaptdl_ray-0.2.11.dist-info/top_level.txt sha256=N0RQQRDjSeYdW1zi19276abk8GWYqLcB7Nkz20xC2F4 12
adaptdl_ray-0.2.11.dist-info/RECORD — —

top_level.txt

adaptdl_ray

entry_points.txt

[console_scripts]
adaptdl_on_ray_aws = adaptdl_ray.aws.launch_job:main