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```rust
fn main() -> Result {
let cifar = candle_datasets::vision::cifar::load()?;
dbg!(&cifar.train_images); // Tensor[dims 50000, 3, 32, 32; u8]
dbg!(&cifar.train_labels); // Tenso…
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Hello, Thank you very much for the program you shared, but I want to test it on the CIFAR-10 data set. How should the relevant parameters be set?
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How do you evaluate the cifar-10 dataset ? & How many samples do you use for evaluating cifar-10
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Hi George,
Thanks for your amazing work!
I am testing your codes in the setting of CIFAR10 ipc 10. I adopt the hyperparameters list in the readme page. However, gradient explosion ocurrs on para…
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This is an excellent piece of work！I like it.
However, when I ran:
python federated_main.py --mode task_heter --dataset cifar10 --num_classes 10 --num_users 20 --ways 5 --shots 100 --stdev 2 --round…
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Implement and test a neural network model for classifying the CIFAR-10 dataset.
CIFAR-10 is a popular dataset containing 60,000 color images of 32x32 pixels, divided into 10 classes. Each class repre…
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How to train the diffusion model on cifar-10?
The load_data() function in image_datasets.py can not load cifar-10 datasets directly
My train.sh is following:
```shell
MODEL_FLAGS="--image_size…
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I initially encountered a path error in executing the preprocessing step compute_fid_statistics.py when specifying the --file argument with both the directory and filename for CIFAR-10 (cifar10.npz). …
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您好，为什么我用您的模型本地加载cifar-10的数据来跑的时候，跑出来的map只有0.2是正常的吗，还是说我的实验运行您的代码的时候有问题
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