Comments (1)
PR submittted #108
from zeta.
Related Issues (20)
- [BUG] SinusoidalEmbedding rotate_every_two , related to #106 HOT 1
- [BUG] [DOCS] Custom MLP - Forward Pass HOT 1
- [BUG] [DOCS] MBConv function
- [BUG] [DOCS] VitTransformerBlock examples have einops error HOT 2
- [BUG]MambaBlock no working on MacOS, even just import HOT 5
- [BUG] Attend , dim, MaxVit HOT 1
- [BUG] Pip should be updated HOT 3
- [BUG] no default value for depth of AttentionLayer HOT 1
- [BUG] Running import zeta immediately fails with "RuntimeError: mat1 and mat2 shapes cannot be multiplied (512x4 and 512x512)" HOT 3
- [BUG] zeta/nn/modules/multiclass_label.py is empty HOT 1
- Relationship with x-transformers HOT 1
- [BUG] how could i find a zata version that compatiable with python3.8 and torch 1.12 HOT 2
- [BUG] RMSNorm Implementation HOT 2
- [BUG] RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! HOT 4
- How to check Zeta Version installed? zeta.__version__ does not seem to work HOT 3
- [BUG] Install errors HOT 2
- [BUG] RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument weight in method wrapper_CUDA__native_layer_norm)
- [BUG] VisionMambaBlock example HOT 3
- [BUG] Why is the backpropagation calculation so slow when I use the mamba network? HOT 1
- Enhance Attention Mechanism for Multi-GPU Support with Model and Data Parallelism HOT 1
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