mirror of
https://github.com/tinygrad/tinygrad.git
synced 2026-06-24 02:14:17 +00:00
* Rename Normalize and move to nn * Fix comparison to None error * Add test for GroupNorm * Rename test case * Flip parameters to match PyTorch * Increase error tolerance * Fix elementwise_affine on channels * Match arguments with PyTorch * Initialize weight and bias only when affine is true * Is this it? * A bit cleaner * Handle case where weight or bias is None |
||
|---|---|---|
| .. | ||
| yolo | ||
| benchmark_train_efficientnet.py | ||
| efficientnet.py | ||
| mnist_gan.py | ||
| serious_mnist.py | ||
| stable_diffusion.py | ||
| train_efficientnet.py | ||
| train_resnet.py | ||
| transformer.py | ||
| vgg7.py | ||
| vit.py | ||
| yolov3.py | ||