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PyGlow

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0.1.7 PyGlow-0.1.7-py2.py3-none-any.whl

Wheel Details

Project: PyGlow
Version: 0.1.7
Filename: PyGlow-0.1.7-py2.py3-none-any.whl
Download: [link]
Size: 28824
MD5: 4be2da101e52316cbc179ff85304b858
SHA256: 728b3310c2399580d3413bde6a3abe3c632abf0050da728c38cf37ea00ca6329
Uploaded: 2019-09-13 10:53:26 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: PyGlow
Version: 0.1.7
Summary: Information Theory of Deep Learning
Author: Bhavya Bhatt
Author-Email: bhavyabhatt17[at]gmail.com
Home-Page: https://github.com/spino17/PyGlow
License: BSD 3-clause
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: torch (>=1.1.0)
Requires-Dist: numpy (>=1.15.0)
Requires-Dist: torchvision
Requires-Dist: tqdm (>=4.30.0)
Description-Content-Type: text/markdown
[Description omitted; length: 5819 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.4)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
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glow/activations.py sha256=ccDjT2sPVR5wcdP5M9sOqMY5UI4PKhczqDQGwoFcoAw 660
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glow/hash_functions.py sha256=gm7ZH9-wqXiE_debqtmSS4epbZbOKxFMaGLBukXQ6Uk 795
glow/layer.py sha256=a6qnOucw4dOiOZGKaU2f3xIIaawAqiai_rsEROD7x-M 930
glow/losses.py sha256=HfDTy78Sd5g35VzzJK9Z4b4NatitbAiPaFAYZtLUiX0 800
glow/metrics.py sha256=9CSuxOM53hQVL0ItffZUeK1VT-MQL0Kk4SGk0Pu9G4Q 436
glow/tensor_numpy_adapter.py sha256=nS89822sPpZVOfJjifCEEfCgkrECmurVsGkbYzMG1eQ 320
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glow/datasets/cifar10.py sha256=rivh8wp4px98W18SUfSjvTUeSFtnwsJ-7-QJe1O2jCg 1611
glow/datasets/mnist.py sha256=ZgmJd2fcw5Ud0d-RG2Zkog5oqHe2ssdhYYCtReRRZJw 1617
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glow/layers/core.py sha256=wogjnP3AFzZiuvQLZTrBzvPWhApg-U83Om4K4D20PIg 1958
glow/layers/hsic_output.py sha256=ByBMQ3okqjrnNd6D6PTUD85_EJz0zr_O0-GXluWSEOo 655
glow/layers/normalization.py sha256=qIo28nhC3bEle6w7q1uzhNvxEc8qbUpOCtaNQeT-i4o 3032
glow/layers/pooling.py sha256=P8gCEkJYd8ObNUofL2DsBScSafwZ2e7Uc9t4c9bZCmk 9575
glow/models/__init__.py sha256=4fwD2kb0bAzxA1WttUcP3CRrgkICoG4JwHaqb9WUC78 182
glow/models/hsic.py sha256=Q-8AQle1bWFd15WX4SskPmFZaKs_k7BjwlB8xfe1D6w 17349
glow/models/network.py sha256=806sazYV9VwxuMcp_tFu3TxZe716KOqf1GDujMUQ7gg 14179
glow/preprocessing/__init__.py sha256=bqEKAo_VSy8hIULoW-ljt9ixFogt9t_Q4GPAjDrKEaM 42
glow/preprocessing/data_generator.py sha256=wCU3y5lOobQfJ8XZDgM6Cq4X_M0ac_yyBmeZ5NW7R9U 3099
glow/utils/__init__.py sha256=IKqJIbm9F2CJOkOpOWirxE30m6W4rKBSAp72LR4RkJE 60
glow/utils/hash_functions.py sha256=gm7ZH9-wqXiE_debqtmSS4epbZbOKxFMaGLBukXQ6Uk 795
glow/utils/hsic_utils.py sha256=eI6pAOTrtCP3moKpLf5VwLPoLIub1zW4ag0t0dGd6FY 618
glow/utils/optimizers.py sha256=p_-ewwhtilHP3Og2EDOSBz-u28V-ZhH-WcINm4UBlUc 292
PyGlow-0.1.7.dist-info/LICENSE sha256=dK0XGZWekHctJzAHUlBHC700ZBF_FbmLR_R7bezR7O0 3224
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PyGlow-0.1.7.dist-info/entry_points.txt sha256=mDtq5fbYTdTDXA-CdbL8J4uUGDm5_js9Ys2qp_8k3q4 53
PyGlow-0.1.7.dist-info/top_level.txt sha256=xvBbk4P5f7tvsruEuHs7me16FwjYoWNP9m1b_4GA87A 5
PyGlow-0.1.7.dist-info/RECORD — —

top_level.txt

glow

entry_points.txt

[console_scripts]
realpython = reader.__main__:main