David Reiss a682ff7ef1 Add kMaxSupportedBytecodeVersion for Lite Interpreter (#59472) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/59472 Previously, the lite interpreter would refuse to load any model with a version greater than kProducedBytecodeVersion. Now, we're able to independently advance the loading and saving code, so we can roll out changes without breaking forward compatibility. Test Plan: CI. Loaded a bytecode v5 model even with setting kProducedBytecodeVersion to v4. Reviewed By: raziel Differential Revision: D28904350 fbshipit-source-id: 598c22f0adf47d4ed3e976bcbebdf3959dacb1df		2021-06-04 17:55:02 -07:00
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api	Add is_inference to native functions (#58729)	2021-06-04 08:59:11 -07:00
common
dist_autograd	Fix distributed autograd gradients synchronization (#57792)	2021-05-09 17:32:59 -07:00
jit	Add kMaxSupportedBytecodeVersion for Lite Interpreter (#59472)	2021-06-04 17:55:02 -07:00
lite_interpreter_runtime	[Pytorch Delegated Backend] Save function name in debug info (#57481)	2021-05-25 13:19:02 -07:00
rpc	Fix race condition in TP agent (#58753)	2021-06-04 06:53:42 -07:00
tensorexpr	[TensorExpr] Fix handling of 0-dim tensors. (#59279)	2021-06-04 13:58:15 -07:00
__init__.py