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Hello. Thanks for your work.
What are training results and metrics that you get on any dataset with thus code?
snarb updated
2 years ago
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If we want to train the discrete VAE, do we have to tune it by our self or we can wait till the code release?
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Hello there. I've tried running the vq_vae example in Colab. However in the "Codebook sampling" block, the line:
sampled = dist.sample()
throws the following error:
--------------------------…
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Hi @lucidrains,
Thanks for this fantastic trove of transformers
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Dear devs,
The example at https://keras.io/examples/generative/vq_vae/ works only with tfp up until v0.13.0. https://github.com/keras-team/keras-io/pull/911 saw a resolution of this issue, but the …
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**Is your feature request related to a problem? Please describe.**
For temporal analyses, I want more encoder options to improve predictive power.
**Describe the solution you'd like**
I'll try t…
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Hi Dan,
Sorry to bother again. I've successfully trained a network using jukebox perceptual loss that scores high on both MS-SSIM and MSE metrics (see below). The same occurs when training for long…
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I am using your wonderful library in my research project. There seems to be a bug in the VQ VAE mode class where the reconstruction is a blank image. Is it a known bug? Can you please help me with thi…
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在正常训练一段时间后报错退出,错误信息如下,搜索了一下目前没有相关 issue,请问这有可能是什么原因?
```
8224it [1:04:05, 2.19it/s]terminate called after throwing an instance of 'paddle::platform::EnforceNotMet' …
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Song Y, Ermon S. [Generative modeling by estimating gradients of the data distribution](https://arxiv.org/pdf/1907.05600.pdf).