Comments (2)
For future reference, some info regarding exclusion can be found here.
from gradientaccumulator.
Fixed in 6cc7ce2.
We are now ignoring those methods. If we ever find how to get codecov seeing all the methods, we should do that instead, but this is fine for now.
from gradientaccumulator.
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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from gradientaccumulator.