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Please make sure that this is a bug. As per our
[GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),
we only address code/doc bugs, performance issues, feature requests a…
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Here is the list of most common optimizers people use with pytorch and which are already implemented and those that are at least planned to be.
- [x] Adam/Amsgrad
- [x] SGD
- [ ] Adadelta
- [ ] …
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**System information**.
- Have I written custom code (as opposed to using a stock example script provided in Keras): Yes
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 20.04.6 LTS…
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C:\ProgramData\Anaconda3\envs\torchdml\lib\site-packages\torch\optim\adamax.py:231: UserWarning: The operator 'aten::amax.out' is not currently supported on the DML backend and will fall back to run…
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Just a small-ish roadmap to different Optimizers and losses we can look at to add :
Optimizers:-
- [x] Adam
- [x] Adagrad
- [x] SGD
- [x] RMSprop
- [x] AdaDelta
~- [x] Riemann SGD~ Removed b…
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We should have most or all of the widely used optimizers in the ML literature:
- [ ] [Adadelta](https://pytorch.org/docs/stable/generated/torch.optim.Adadelta.html#torch.optim.Adadelta)
- [ ] [Ada…
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# Optimizers
- 可以先实例化一个优化器对象，然后将它传入model.compile()，如下示例:
```
sgd = optimizers.SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
model.compile(loss='mean_squared_error', optimizer=sgd)
```
-…
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i use --resume, after i evaluate the model and then train, i get this error：
Traceback (most recent call last):
File "train_CoQA.py", line 229, in
main()
File "train_CoQA.py", line 122,…
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https://github.com/tensorflow/swift-apis/pull/758 adds Python TensorFlow reference implementations for optimizer numerical correctness.
This issue tracks numerical differences between Swift optimiz…
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Hi, I am using the following model.
```
# preprocess input
x_train = preprocess_input(x_train)
x_val = preprocess_input(x_val)
# define model
model = Unet(BACKBONE, encoder_weights='imagenet…