Comments (7)
python version:3.7.6
tensoflow version:tensorflow-gpu 2.2.0
adabelief-tf :0.1.0
model using tf.keras.api
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Hi, does the adabelief-tf support tensorflow 1, for instance, tensorflow-gpu 1.14? I found the adabelief-tf uninstalled my tensorflow 1 and installed tensorflow 2. Thanks in advance.
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Hi, does the adabelief-tf support tensorflow 1, for instance, tensorflow-gpu 1.14? I found the adabelief-tf uninstalled my tensorflow 1 and installed tensorflow 2. Thanks in advance.
I think u need tensorflow version>=2.1.0 , because neither adabelief-tf 0.0.1 nor 0.1.0 work in my tensorflow 2.0.0 env.
BUT we can run it in tensorflow 2.2 or 2.3.
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@dusk666 The message is to guide you to set the default arguments for AdaBelief, popping up once you create AdaBeliefOptimizer.
For version, the newest pypi_package cache file of adabelief_tf0.1.0 is not update yet.
Currently, please use the following commands to install:
git clone https://github.com/juntang-zhuang/Adabelief-Optimizer.git
pip install ./Adabelief-Optimizer/pypi_packages/adabelief_tf0.1.0
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@louislbc Sorry, the package currently only supports tensorflow 2.
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@louislbc @dusk666 We have released version 0.2.0, please try the new version by pip install adabelief-tf==0.2.0
, this version should be slightly faster than 0.1.0.
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@louislbc Please see https://github.com/juntang-zhuang/Adabelief-Optimizer/tree/update_0.3.0/pypi_packages/adabelief_tf0.3.0, there are two subfolders, one for tf1 the other for tf2. It's not pushed to pip yet, so please download the source and try. Thanks for the implementation by @cryu854.
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Related Issues (20)
- Please add a license HOT 1
- Upgrade with Adas optimizer HOT 3
- MSVAG HOT 1
- Why does g_t substract m_t, instead of m_{t-1} ? HOT 1
- On imagenet accuracy result 70.08 HOT 1
- Documentation (at least for TF) and weight_decouple is not an option HOT 2
- FileNotFoundError for ImageNet HOT 1
- Changing init learning rate HOT 2
- Question about SGD optimizer in LSTM experiments HOT 1
- Compatibility with warmup HOT 2
- Inconsistent computation of weight_decay and grad_residual among pytorch versions HOT 5
- Your method is just equivalent to SGD with a changable global learning rate. HOT 3
- Some questions related to import adabelief HOT 2
- Tensorflow restoration issue HOT 1
- weight_decouple in adabelief tf HOT 1
- Inconsistent use of epsilon HOT 4
- Suppressing weight decoupling and rectification messages HOT 1
- The problem of reproducing the result of ImageNet HOT 4
- AttributeError: 'AdaBeliefOptimizer' object has no attribute '_set_hyper' HOT 4
- loss become nan when beta1=0
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