Martin Yuan 00c1e01ad0 Remove internal logic to handle bytecode version 3 (#57775) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/57775 The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models. Why? * There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first. * The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low. Test Plan: Imported from OSS Reviewed By: raziel Differential Revision: D28270791 Pulled By: cccclai fbshipit-source-id: 70b1bd6352fdaae5f8d2173b81578d77018c8e44 (cherry picked from commit 3e930fa381cd01f3705116795c6426df992372fc)		2022-04-07 01:45:52 +00:00
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api	Extend jit::load to work on flatbuffer file; Take 2 (#75256)	2022-04-06 17:54:01 +00:00
c10d	Add support for deleteKey for FileStore (#69953)	2022-01-07 06:20:59 -08:00
common
dist_autograd
jit	Remove internal logic to handle bytecode version 3 (#57775)	2022-04-07 01:45:52 +00:00
lazy	Move shape and operand definitions to base node (#75223)	2022-04-06 01:43:46 +00:00
lite_interpreter_runtime	[PyTorch] Add codegen unboxing ability (#69881)	2022-03-01 23:28:13 +00:00
monitor	torch/monitor: merge Interval and FixedCount stats (#72009)	2022-01-30 23:21:59 +00:00
profiler	[Profiler] Prefer TSC to wall clock when available (#73855)	2022-03-13 18:29:06 +00:00
rpc
tensorexpr	Fix sign-compare violations in cpp tests	2022-04-04 23:05:31 +00:00
__init__.py