Comments (6)
mbehrisch
commented on May 12, 2024
Indirectly this is already possible. There is a MXNet -> Caffe converter and a Caffe -> Pytorch converter.
Mabe this side helps https://github.com/ysh329/deep-learning-model-convertor. My personal experience is that the converters help if you have standard network structures.
from onnx.
ebarsoum
commented on May 12, 2024
We love more frameworks to support ONNX, we are open to PR.
from onnx.
Yangqing
commented on May 12, 2024
cc @mli FYI - there are discussions between ONNX and mxnet but there is no set timeline yet.
from onnx.
mli
commented on May 12, 2024
we are still in discussing when mxnet will support onnx. I don't have a concrete time yet, but will update this thread once it is on the roadmap.
from onnx.
tqchen
commented on May 12, 2024
since mxnet is migrating toward nnvm compiler, #89 would be relevant
from onnx.
bddppq
commented on May 12, 2024
https://mxnet.apache.org/api/python/contrib/onnx.html
from onnx.
Related Issues (20)
- how onnx model stores the weight and biases of trained model
- Need to know the setuptools version for using onnx in developer mode HOT 2
- Inputs from a subgraph disappear when the graph is used as second input in `onnx.compose.merge_models` HOT 2
- Version converter: No Adapter From Version 16 for Identity HOT 4
- SegFault during shape inference if the schema not be set inference function
- Generalize input/output checks from #5990 HOT 1
- OpenCV dnn cv.dnn.readNetFromONNX HOT 1
- Source build failed with cmake error HOT 5
- `clip` operation handles NaN values differently between CPU and GPU
- `clip` behaviour with NaN values is different between GPU and CPU onnx inference HOT 5
- There is an error in converting LLaVA model. It should not be adapted to this model. How should this model be converted to onnx HOT 1
- how onnx models stores weights and layer parameters
- [Feature request] checking an input rank is within a specific range HOT 6
- [Feature request] Shape Inference for Einsum instead of Rank Inference HOT 1
- Building failed with Vitis AI. HOT 1
- AttributeError while installing ONNX HOT 11
- Replace const string references with string_views HOT 1
- [ONNX] Onnx file loads very slowly with onnxruntime, which is exported (dynamic_shapes=True) with `torch.onnx_dynamo_export`. HOT 2
- Optimizing Node Ordering in ONNX Graphs: Ensuring Correct Sequence for Model Generation HOT 1
- When will outstanding security vulnerabilities be fixed? HOT 2
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 onnx.