PyTorch-Ignite 0.4.7 - Release Notes

New Features

• Enabled LRFinder to run multiple epochs (#2200)
• save_handler automatically detects DiskSaver when path passed (#2198)
• Improved Checkpoint to use score_name as metric's key (#2146)
• Added State parameter scheduler (#2090)
• Added state attributes for loggers (tqdm, Polyaxon, MLFlow, WandB, Neptune, Tensorboard, Visdom, ClearML) (#2162, #2161, #2160, #2154, #2153, #2152, #2151, #2148, #2140, #2137)
• Added gradient accumulation to supervised training step functions (#2223)
• Automatic jupyter environment detection (#2188)
• Added an additional argument to auto_optim to allow gradient accumulation (#2169)
• Added micro averaging for Bleu Score (#2179)
• Expanded BLEU, ROUGE to be calculated on batch input (#2259, #2180)
• Moved BasicTimeProfiler, HandlersTimeProfiler, ParamScheduler, LRFinder to core (#2136, #2135, #2132)

Bug fixes

• Fixed docstring examples with huge bottom padding (#2225)
• Fixed NCCL warning caused by barrier if using idist (#2257, #2254)
• Fixed hostname list expansion (#2208, #2204)
• Fixed tcp error with PyTorch v1.9.1 (#2211)

Housekeeping (docs, CI, examples, tests, etc)

• #2243, #2242, #2228, #2164, #2222, #2221, #2220, #2219, #2218, #2217, #2216, #2173, #2164, #2207, #2236, #2190, #2256, #2196, #2177, #2166, #2155, #2149, #2234, #2206, #2186, #2176, #2246, #2231, #2182, #2192, #2165, #2227, #2253, #2247, #2250, #2226, #2201, #2184, #2142, #2232, #2238, #2174

Acknowledgments

🎉 Thanks to our community and all our contributors for the issues, PRs and 🌟 ⭐️ 🌟 !
💯 We really appreciate your implication into the project (in alphabetical order):

@Chandan-h-509, @Ishan-Kumar2, @KickItLikeShika, @Priyansi, @fco-dv, @gucifer, @kennethleungty, @logankilpatrick, @mfoglio, @sandylaker, @sdesrozis, @theory-in-progress, @toxa23, @trsvchn, @vfdev-5, @ydcjeff