Comments (5)
So... that's exactly the score Kingma gets in the paper: https://arxiv.org/pdf/1312.6114v10.pdf
You are finished. The program is not set to terminate at a certain threshold.
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You need to have gpus.
from vae-torch.
I got two gtx1080 , but there isn't an option to run on GPU...
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Even on a CPU the experiments from the paper should not be more than a few hours to 1 day. What dataset are you training on? Is lower bound improving?
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[======================================== 499/499 ====================================>] Tot: 4m55s | Step: 587ms
Epoch: 2040 Lowerbound: 98.350686907702 time: 295.93010878563
[======================================== 499/499 ====================================>] Tot: 4m13s | Step: 427ms
Epoch: 2041 Lowerbound: 98.379177907564 time: 253.59385895729
[======================================== 499/499 ====================================>] Tot: 2m35s | Step: 222ms
Epoch: 2042 Lowerbound: 98.353038132161 time: 155.83764314651
[======================================== 499/499 ====================================>] Tot: 1m47s | Step: 219ms
I just run th main.lua
:~/prj/VAE-Torch$ tree
.
├── datasets
│ ├── freyfaces.hdf5
│ └── mnist.hdf5
├── GaussianCriterion.lua
├── KLDCriterion.lua
├── LICENSE
├── load.lua
├── main.lua
├── plot.py
├── README.md
├── Sampler.lua
├── save
│ ├── lowerbound.t7
│ ├── parameters.t7
│ └── state.t7
├── VAE.lua
├── yknote_log---not_done
└── yknote_log---several_days_not_done
2 directories, 16 files
rzai@rzai00:~/prj/VAE-Torch$
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Related Issues (15)
- [Feature request] Full variational Bayes HOT 2
- Error ! HOT 2
- Why doing criterion.sizeAverage = true makes everything not work? HOT 3
- Does this project include image generation code? HOT 1
- GaussianCriterion gradient issue HOT 1
- Positive Lowerbound? HOT 1
- NLL number after change of dataset? HOT 3
- typo? HOT 1
- config for Adam HOT 8
- Use of exp in the Reparametrization HOT 21
- Questions about GaussianCriterion.lua HOT 1
- divide loss by batch size HOT 1
- Inputs to KLD criterion are mean and variance? HOT 2
- lower bond? HOT 1
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