zhangyiss/mlx
1
0
Fork 0
mirror of https://github.com/ml-explore/mlx.git synced 2025-09-01 12:49:44 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

Make shape a tuple (#591)

Browse Source 
* shape tuple

* also remove simplify from docs

* rebase
This commit is contained in:
Awni Hannun
2024-01-30 13:11:01 -08:00
committed by GitHub
parent d3a9005454
commit 09b9275027
13 changed files with 141 additions and 140 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
docs/src/dev/extensions.rst
View File

@@ -929,7 +929,7 @@ We see some modest improvements right away!
This operation is now good to be used to build other operations,
in :class:`mlx.nn.Module` calls, and also as a part of graph
transformations such as :meth:`grad` and :meth:`simplify`!
transformations like :meth:`grad`!
Scripts
-------

1
docs/src/python/transforms.rst
View File

@@ -14,4 +14,3 @@ Transforms
jvp
vjp
vmap
simplify

2
docs/src/usage/lazy_evaluation.rst
View File

@@ -20,7 +20,7 @@ Transforming Compute Graphs
Lazy evaluation let's us record a compute graph without actually doing any
computations. This is useful for function transformations like :func:`grad` and
:func:`vmap` and graph optimizations like :func:`simplify`.
:func:`vmap` and graph optimizations.
Currently, MLX does not compile and rerun compute graphs. They are all
generated dynamically. However, lazy evaluation makes it much easier to