mirror of
https://github.com/ml-explore/mlx.git
synced 2025-09-01 12:49:44 +08:00
implemented InstanceNorm (#244)
* implemented instancenorm * implemented vector_norm in cpp added linalg to mlx * implemented vector_norm python binding * renamed vector_norm to norm, implemented norm without provided ord * completed the implementation of the norm * added tests * removed unused import in linalg.cpp * updated python bindings * added some tests for python bindings * handling inf, -inf as numpy does, more extensive tests of compatibility with numpy * added better docs and examples * refactored mlx.linalg.norm bindings * reused existing util for implementation of linalg.norm * more tests * fixed a bug with no ord and axis provided * removed unused imports * some style and API consistency updates to linalg norm * remove unused includes * fix python tests * fixed a bug with frobenius norm of a complex-valued matrix * complex for vector too * addressed PR review comments * fixed import order in __init__ * expected values in instancenorm tests are simple lists * minor return expression style change * added InstanceNorm to docs * doc string nits * added myself to individual contributors --------- Co-authored-by: Awni Hannun <awni@apple.com>
This commit is contained in:

committed by
GitHub

parent
dff4a3833f
commit
c7edafb729
@@ -11,6 +11,7 @@ MLX was developed with contributions from the following individuals:
|
||||
- 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` and safetensor support
|
||||
- Gabrijel Boduljak: Added `mlx.core.linalg`, implemented `norm` method and `InstanceNorm` layer.
|
||||
|
||||
# Third-Party Software
|
||||
|
||||
|
Reference in New Issue
Block a user