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Auto infer optimizer when using zero and convergence test of zero2 + pytorch amp + activation checkpointing #178
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…pytorch amp + activation checkpointing Summary: auto inferring the zero optimizer setting which basically moves the parameters to "base_optimizer". now users just need to set `use_zero=True` . Differential Revision: D26236748 fbshipit-source-id: bd6fecea869892e1c336f8d25aad6e1a0bad061b
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…pytorch amp + activation checkpointing (#178) Summary: Pull Request resolved: #178 auto inferring the zero optimizer setting which basically moves the parameters to "base_optimizer". now users just need to set `use_zero=True` . Reviewed By: min-xu-ai Differential Revision: D26236748 fbshipit-source-id: 326db1040a457391735632071fe718d6c6071947
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Summary: In prevision for the work on the optimiser group enhancement for FSDP: - These tests will allow to catch some accidental issues that arise if refactoring is needed. - These tests add an important use case to our list of integration tests: fine tuning. Pull Request resolved: fairinternal/ssl_scaling#178 Reviewed By: prigoyal Differential Revision: D30233695 Pulled By: QuentinDuval fbshipit-source-id: ca67bc5f65328976298c3b09b17048dd4bfde934
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Summary:
auto inferring the zero optimizer setting which basically moves the parameters to "base_optimizer".
now users just need to set
use_zero=True.Differential Revision: D26236748