-
!hypergan train path/to/folder --resize -s 256x256x3 -f jpg -c mymodel --resize --sampler static_batch --sample_every 5 --save_samples --noviewer --save_every 50 --ipython True
I am training with t…
-
We want to judge whether the image is real or fake. So we trained a model and used its discriminator to output a score.
`discriminator = nn.DataParallel(Discriminator(from_rgb_activate=not args.no…
-
Hey!
I've tried recreating the steps to download the dataset, but apparently the structure of the website has changed, such that the SQL query does not return anything. Can you make the dataset avai…
-
The Trainable API should be surfaced more, since more advanced algorithms depend on it.
This walkthrough should show how to use the Trainable API and cover PBT integration. Consider also developin…
-
## 🐛 Bug
When using PyTorch1.3.1 c++ distribution in Visual Studio 2019 and following the dcgan.cpp example code a run-time exception is thrown while sending the nn::Sequential model to the cuda …
-
## ❓DCGAN generator only accepts batches of 64
## System Information
- pytorch version: 1.3.1
- onnx-coreml version: 1.2
- coremltools version: 3.3
## Code
model.py
```
from torch.autog…
-
When I test https://github.com/tensorflow/models/blob/master/research/gan/cifar/train.py with the default value.
I found the model is very unstable, and it is not convergent.
One of the reason is …
mpjlu updated
4 years ago
-
Possible comparisons:
- [x] discriminator with or without averaging in the last layer
- [x] various convolutional dimensions (32, 64, 128)
- [ ] deeper/shallower architectures
-
I'm sorry to disturb you. I found that in your code, there is no "model.train()" or " model.test". Therefore, dropout and BatchNormal are also used during the test. Does this have an impact on the res…
-
+ running the code tensorpack\examples\GAN\DCGAN.py on Windows, an error occured 'AssertionError: ZMQ IPC doesn't support windows!'?
+ Traceback (most recent call last):
File "./DCGAN-CelebA.py", …