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torch-fidelity

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0.3.0 torch_fidelity-0.3.0-py3-none-any.whl

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Project: torch-fidelity
Version: 0.3.0
Filename: torch_fidelity-0.3.0-py3-none-any.whl
Download: [link]
Size: 37012
MD5: d4685cbf765d9eaa393251bcd4b7bfed
SHA256: d01284825595feb7dc3eae3dc9a0d8ced02be764813a3483f109bc142b52a1d3
Uploaded: 2021-06-15 16:10:49 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: torch-fidelity
Version: 0.3.0
Summary: High-fidelity performance metrics for generative models in PyTorch
Author: Anton Obukhov
Home-Page: https://www.github.com/toshas/torch-fidelity
License: Apache License 2.0
Keywords: reproducibility,fidelity,deep,generative,adversarial,networks,gan,inception,score,frechet,distance,kernel,perceptual,path,length,isc,fid,kid,lpips,ppl
Requires-Python: >=3.6
Requires-Dist: numpy
Requires-Dist: Pillow
Requires-Dist: scipy
Requires-Dist: torch
Requires-Dist: torchvision
Requires-Dist: tqdm
Description-Content-Type: text/plain
License-File: LICENSE.md
[Description omitted; length: 1322 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
torch_fidelity/__init__.py sha256=7006LF6yj-XGHh7wGOUuCnzE8fLpkPAW3TgMVQm-N4M 1094
torch_fidelity/datasets.py sha256=fUw8zmFn_eBbHIM_XvQVNYk4oCwEEOxY1euDrfQpPAk 2007
torch_fidelity/defaults.py sha256=zA6VQvN-P8mpuJXT4RsyIk7hIWmSgSrNBfjpFttA-1g 1460
torch_fidelity/feature_extractor_base.py sha256=ozLay_p2kEOwzTaGBqfMvqGNqkWxZQlwUFTJx1iit9Y 2243
torch_fidelity/feature_extractor_inceptionv3.py sha256=HPNOOUZl1Sqo1lIqrmc3CgNq3Ri_2R62ZXstZm5FjTQ 16856
torch_fidelity/fidelity.py sha256=35Y23we7eAuBlGkn4_dz-gPCJG0PhtwXFPXCY2fGM88 12071
torch_fidelity/generative_model_base.py sha256=3xxIxOO8XKtnbmU1ozSxNLWz8I4ukG7YbfXDoVEM69Y 892
torch_fidelity/generative_model_modulewrapper.py sha256=xQVacRPJjSXZFqFnn6woZ8shjjIFiI6FIH-K_lvOJBs 2663
torch_fidelity/generative_model_onnx.py sha256=-Yd4G_L10yJvuYoK04-sTSUndrXokTA-2U-zMOqx7E0 4005
torch_fidelity/helpers.py sha256=hH9p6MBW34N94Asb_orWhdJNL_BtsAs7KnL3rcdG_W4 523
torch_fidelity/interpolate_compat_tensorflow.py sha256=damLUFXcErlv1NNXXJ9ezp0_BkvV53_-o1aqKB4Gob0 6370
torch_fidelity/metric_fid.py sha256=6KFyhnobbp1KFkfU2F5p5pMNlO4bapCKW-XTt3VaoM0 5038
torch_fidelity/metric_isc.py sha256=Mr0SOPmkVw3VwIS9K_m4cocPcGbm6MiQaBow2egpHRg 2206
torch_fidelity/metric_kid.py sha256=S8aMWXG3UQgsXu4ac93eQ9C4ZhfOZUVe7at0-KhAMPA 5004
torch_fidelity/metric_ppl.py sha256=Tt1mmyTH_quERwVU9kb9qyP6k3J30HYBcpG7YmGOowc 6033
torch_fidelity/metrics.py sha256=n5TPz1Q-mj4KCgLrJRlZYNlmee90DZLM42F8pfQgvvk 13752
torch_fidelity/noise.py sha256=4Wt09w6BQXHphWueZSbSj60Ukk4iyEVzBzFBlFhUJKg 1403
torch_fidelity/registry.py sha256=y9k2E6nzRHgNnEQfojbfhdaxENMd6QNYGY1d4F0Dj50 6797
torch_fidelity/sample_similarity_base.py sha256=sx-XGSOIU_SP23-rRN2WphxOjsADQDsh8xeiACj1vwY 798
torch_fidelity/sample_similarity_lpips.py sha256=Dxyp3NaTdJJ9KwM4CDo1FTqw5x_qKfkLeiNjIZZ5bSo 7415
torch_fidelity/utils.py sha256=UAZzf8IJmfczvmR6KcFiJW97nn--G6AQLinw9a-HKW0 15367
torch_fidelity/version.py sha256=3wVEs2QD_7OcTlD97cZdCeizd2hUbJJ0GeIO8wQIjrk 22
torch_fidelity-0.3.0.dist-info/LICENSE.md sha256=PR4LdaUwlM42fLeEezH1SFGagzMp-5DErQAqaXLrDRI 554
torch_fidelity-0.3.0.dist-info/METADATA sha256=Ln1hc-FVVaY0GYSRcP2cNIukQvUt8bfYs-reIjEnphQ 1960
torch_fidelity-0.3.0.dist-info/WHEEL sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA 92
torch_fidelity-0.3.0.dist-info/entry_points.txt sha256=d3_Ie9ooAuV_ZvxA7YCXLkHBrhGg-ixb5G1WGDkKTvM 59
torch_fidelity-0.3.0.dist-info/top_level.txt sha256=bkOel1-osM5R9TBUBCUCkzJJu2M9_dN2CcZuh51FJBw 15
torch_fidelity-0.3.0.dist-info/RECORD — —

top_level.txt

torch_fidelity

entry_points.txt

[console_scripts]
fidelity = torch_fidelity.fidelity:main