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### ❔ Any questions
Hi,
According to attack.py line 501, it seems that if I perform atk.set_normalization_used(mean=[...], std=[...]) before applying the attack, the inputs will be denormalized (b…
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I try to use docker with tensorflow on my mac with m1 chip.
But I can't run the tenserflow server.
Do I have to get docker images in the ARM format for my mac? And if yes how do I get these images…
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Hello!
I'm encountering an error when running the code, consistently across both the MNIST and CIFAR-10 datasets. Regardless of the configures I use (including the config files in `train_configs` di…
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I am testing out using optimum.quanto on this open clip model:
```
model = CLIPModel.from_pretrained("laion/CLIP-ViT-L-14-laion2B-s32B-b82K")
processor = CLIPProcessor.from_pretrained("laion/CLIP…
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after adding `model = torch.compile(model)` in the example/mnist code, I got RuntimeError: Triton Error [CUDA]: device kernel image is invalid
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When I run command
**python src/train.py trainer=ddp logger=csv model=mnist data=mnist callbacks=default task_name="new_task_name"**,
An error occurred
Traceback (most recent call last):
File…
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### ML-Crate Repository (Proposing new issue)
🔴 **[Project Addition]: Image Classification using Convolutional Neural Networks (CNN)**
🔴 **Description:** Create a CNN-based model for image class…
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We tested your sample code. However, we couldn't reproduce your results.
For example, we manualy set a `std` of `GaussianNoise` as 0.0, 0.1, ..., 0.4 in the MNIST 3-Linear sample code. But an accur…
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**MNIST Dataset**
The MNIST dataset is a large collection of handwritten digits that's widely used for training and testing in machine learning, especially in the area of image processing. Here's a…
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I reproduced the results from your paper by running `train_hclt.py` on the MNIST dataset (achieving 1.22 bpd); however, after using `backward` with the `DLTM` model, I received the following output:
…