Comments (1)
As this is not critical, and not really an issue. I won't address this anytime soon.
A separate feature request might be made in the future, if of interest.
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Related Issues (20)
- Use tf.function on train_step HOT 11
- 0.5.1, tf 2.11 error for accuoptimizer HOT 8
- Replacing AccumBatchNormalization not working as intended HOT 2
- ConvNeXt not compatible with Model wrapper HOT 1
- No mixed precision support with GradientAccumulateOptimizer? HOT 7
- Replacing BN layer with AccumBN layer results in poorer convergence
- confusion over how to use this module HOT 2
- Dummy issue to test auto-assign
- Dummy issue to test auto-assign
- Test HOT 1
- Review and potentially simplify the implementation HOT 25
- raise ValueError('Optimizer must have a "lr" attribute.') HOT 5
- AccumBN is not compatible with 3D ops e.g. Conv3D HOT 1
- Mixed precision not working as intended with AccumBatchNormalization HOT 8
- Add linting to improve code style HOT 1
- Unit test for optimizer invariance in distributed trainings HOT 2
- Optimizer wrapper not working as intended HOT 2
- Optimizer wrapper not compatible with tf==2.6 HOT 2
- AttributeError using Optimizer wrapper with tf==2.4 HOT 1
- Optimizer wrapper performance is dependent on tensorflow version HOT 3
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