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pytorch_ema
master
Tiny PyTorch library for maintaining a moving average of a collection of parameters.
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Author
2021-11-17
changelog
Linux-cpp-lisp
2021-11-17
handle non-trainable parameters
Linux-cpp-lisp
2021-07-02
Merge pull request #8 from Linux-cpp-lisp/context_manager
Samuel Fadel
2021-07-02
Merge pull request #7 from Linux-cpp-lisp/device_and_dtype
Samuel Fadel
2021-04-27
README updates
Alby M
2021-04-21
context manager for validation
Alby M
2021-04-21
Indents
Alby M
2021-04-21
Add .to()
Alby M
2021-04-21
More state_dict tests
Alby M
2021-04-21
Casting and error checking
Alby M
2021-04-21
Cast state dict to current device/dtype
Alby M
2021-04-21
State dict support (#6)
Alby M
2021-04-20
Option to keep parameters reference in `ExponentialMovingAverage` (#5)
Alby M
2021-04-20
Tests and miscellaneous (#4)
Alby M
2021-03-03
Version bump and only store params requiring grad.
v0.2
Samuel Fadel
2021-03-03
Updated README.md with store/restore functionality.
Samuel Fadel
2021-03-03
Minor updates to docstrings and code organization.
Samuel Fadel
2021-02-08
Merge pull request #2 from Zehui-Lin/master
Samuel Fadel
2021-02-08
minor
Zehui Lin
2021-01-21
fix comments
Zehui Lin
2021-01-21
store and restore
Zehui Lin
2021-01-15
Add Feature: restore
zehui-lin
2020-08-20
Updated README.md with suggested install method.
Samuel Fadel
2019-05-26
Filter by requires_grad before zip() in update().
Samuel Fadel
2019-04-16
Initial commit.
Samuel Fadel