🎁 What's New

We mostly focused on refactoring and minor bugs.
.pytorch() now works with pubic datasets hosted by team Activeloop (e.g. hub://activeloop/mnist-train).
Underlying data format is now better! Since the new format is incompatible with the prior release, you should update to the new release using pip3 install --upgrade hub .

🧭 What's Changed

version update (#1062) @davidbuniat
Fixes an issue in which reporting configuration file was not being created if its parent directory didn't exist. (#1058) @zomglings
Update PR template to new format (#1059) @benchislett
Add back PR template from master (#1034) @benchislett
Update htype docs (#1030) @benchislett
Validate indexing when given, not at compute-time (#1033) @benchislett
Update readme (#1057) @istranic
fix meta non-persistence bug (adds test) (#1053) @mccrearyd
Updating old pytorch warning message (#1055) @AbhinavTuli
Changed from master to main (#1052) @Anselmoo
[refactor] Tests/update fixtures (#1046) @mccrearyd
NPZ replacement format (only) (#1047) @farizrahman4u
Auto cast (#1041) @farizrahman4u
Bring back tuple mode, this time serializable (#1028) @farizrahman4u
Array interface for Tensor (#1042) @farizrahman4u
Windows always uses old pytorch integration now (#1044) @AbhinavTuli
[small] remove chunk sizes from htypes (#1037) @mccrearyd
Small fix for Pytorch shared memory leak (#1040) @AbhinavTuli
Fixes dataset creation bug with s3/hub cloud datasets having similar names (#1045) @AbhinavTuli
[small] Update/2.0/hub cloud test (#1023) @mccrearyd
Fix tensor creation bug (#1043) @farizrahman4u
Refactor/fstrings (#1035) @dhiganthrao
update sample compression API (#1038) @mccrearyd
[small] Silence tensorflow logs in tests (#1029) @benchislett
[small] update scalar test (#1022) @mccrearyd