Comments (3)
Hi! We don't have conv3d yet. It is definitely something that an enterprising contributor could add, there is no requirement that it come from within Apple, and we are very encouraging of outside contributions.
That said I believe we would need to implement the kernel itself which is non-trivial. Though we have some Conv2D kernels as a good starting point.
from mlx.
3d ops are definitely needed, bumped into Conv3d missing while trying to substitute upsample_nearest3d from pytorch for MPS
Pytorch has a PR pending with Conv3d:
https://github.com/pytorch/pytorch/pull/114183/files
Maybe this will be helpful
from mlx.
@awni Is this something the community can do with a reasonable effort (by adding a new op in mlx/mlx/ops.py and making the required adjustments/extensions) or do we need help from within Apple ? Thank you for the nice framework!!
from mlx.
Related Issues (20)
- [BUG] Using `make test` (e.g. ctest) causes segfaults
- [BUG] ValueError: [quantize] The last dimension of the matrix needs to be divisible by the quantization group size 64. HOT 7
- [Feature] Add a `clip_grad_norm` to `mlx.optimizers`
- [BUG] Layernorm provide strange results during inference HOT 3
- [Feature Request] Support `numpy.ndarray.view`
- [BUG] HOT 1
- [BUG] Cannot install MLX locally HOT 5
- [Feature] Multi-Machine Support for Distributed Inference HOT 4
- [BUG] mlx_lm issue with Phi-3 fine tuned model: adding and repeating weird tokens
- [FEATURE] in keras LayerNorm by default is apply to last dimension only HOT 9
- [BUG] in-place updating of array slice unexpectedly fails due to broadcasting problem HOT 2
- [BUG] Matmul gives wrong output for large sizes HOT 4
- [BUG] broadcast of scalar array in last dimension fails after #1035
- [BUG] Unable to install mlx on MacbookPro M3Pro with MacOS 14.4.1 HOT 1
- [FEATURE] how to return mlx intermediate layer output similarly to Keras HOT 2
- [BUG] cannot replicate a keras model into mlx when I reuse keras pretrained weights
- [BUG] EOS terminator for mlx_lm generate function HOT 1
- [BUG] libc++abi crash when using recurrent layer and transformer HOT 2
- [Feature] arctan2 HOT 3
- [BUG] arithmetic operations with numpy arrays are not commutative HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from mlx.