mirror of
https://github.com/ml-explore/mlx.git
synced 2025-12-16 01:49:05 +08:00
feat: Add orthogonal initializer and corresponding tests (#1651)
* feat: Add orthogonal initializer and corresponding tests * lint * Add acknowledgements * nits --------- Co-authored-by: Awni Hannun <awni@apple.com>
This commit is contained in:
@@ -7,7 +7,7 @@ with a short description of your contribution(s) below. For example:
|
||||
|
||||
MLX was developed with contributions from the following individuals:
|
||||
|
||||
- Nripesh Niketan: Added `softsign`, `softmax`, `hardswish`, `logsoftmax` activation functions. Added `dropout3d` ops. Added `LogicalAnd` and `LogicalOR` ops. Added `clip_grad_norm` along with `tree_reduce`. Added `cross`.
|
||||
- Nripesh Niketan: Added `softsign`, `softmax`, `hardswish`, `logsoftmax` activation functions. Added `dropout3d` ops. Added `LogicalAnd` and `LogicalOR` ops. Added `clip_grad_norm` along with `tree_reduce`. Added `cross`. Added `orthogonal` initializer.
|
||||
- Juarez Bochi: Fixed bug in cross attention.
|
||||
- Justin Deschenaux: Sine, Cosine, arange, randint, truncated normal, bernoulli, lion optimizer, Dropout2d, linear and logistic regression python example.
|
||||
- Diogo Da Cruz: Added `tri`, `tril`, `triu`, `tensordot`, `inner`, `outer`, `tile`, `StreamContext`, `stream`, safetensors support, `einsum`, and `einsum_path`.
|
||||
|
||||
Reference in New Issue
Block a user