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hello! when I run python mnist_visualize.py --model unbounded_stn --angle 90 --grid_size 4, it appears following:
create model with STN
Traceback (most recent call last):
File "mnist_visualize.…
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Thank you for your code. It was an excellent job. In your paper and code, I noticed that sample generation is unconditional. If I want to achieve conditional generation, what do I need to do, such as …
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To perform parameter smoothing, the original smooth_mnist.py requires a default file 'saved_models/model_mnist_Feb.04_15.41.37/params.yaml', which the author may want to share for someone don't want t…
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Let's implement a training param importer that gets hyper-parameters from the circle+ file.
(notes) For now, `onert_train` gets hyper-parameters from command line options.
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import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import time
from torch.utils.data import DataLoader, TensorDataset
from torchvision import datasets, transforms
…
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### 🐛 Describe the bug
This case is not working :https://kserve.github.io/website/0.11/modelserving/v1beta1/torchserve/#deploy-pytorch-model-with-v2-rest-protocol.
The isvc object is ready when usin…
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Currently: `models(matching(X, y))` doesn't return relevant models when X has images
```julia
import Flux;
X, y = Flux.Data.MNIST.images(), Flux.Data.MNIST.labels()
typeof(X), typeof(y)
models(ma…
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- [x] use food101 for the baseline image classification (in place of mnist)
- [ ] use existing YOLOS Object Detection model make python module not notebook
- [ ] use existing YOLOv5 Object Detection m…
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### 🐛 Describe the bug
I'm following [this tutorial](https://github.com/pytorch/serve/blob/master/examples/image_classifier/mnist/Docker.md) but the docker run didn't start properly
### Error logs
…