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I was trying to implement GAN with KAN.
I got this error when running this program below.
Are there some problems with this code due to my mistake?
This may be the wrong place to ask this question…
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**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is.
Yes, Image Super-Resolution (ISR) is directly related to solving specific…
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In [adversarial_attacks_pytorch.py](https://github.com/Trusted-AI/adversarial-robustness-toolbox/blob/main/art/attacks/evasion/adversarial_patch/adversarial_patch_pytorch.py) line 191 : `loss.backward…
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vidcap = cv2.VideoCapture('/home/xkjs/NDisk/zys/srcz/ertong1.AVI.mp4')
success, image = vidcap.read()
count = 0
success = True
frames = []
while success:
image = cv2.resize(image, (224, 224)…
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**Is your feature request related to a problem? Please describe.**
If the input into the PyTorch classifier wrapper has variable length samples (e.g., the batch is a 1D numpy object array, where the …
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Hi, it an awesome work! May I ask some help, I met some problems when training the model on REDS video dataset. When the training elapses about 40K iterations, the loss suddenly explode and the predic…
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**Is your feature request related to a problem? Please describe.**
In eval6, Armory is using ["pytorch_object_detector.py"](https://github.com/Trusted-AI/adversarial-robustness-toolbox/blob/main/art/…
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Could you provide a training data set?
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**Describe the bug**
projected_gradient_descent() gives an error: "TypeError: Cannot convert 0.3 to EagerTensor of dtype uint8" when run on Google Colab.
**To Reproduce**
Steps to reproduce the b…
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When I enumerate over `val_loader`, the length of `batch` is 2 (batch[0] is an input clip and batch[1] is a target label).
In your `batch_fn`, however, you access `batch[2]` to get `item_id`.
It mak…