Comments (2)
It would be great to load ONNX file. So far this is not implemented.
I'm not very familiar with ONNX but I understand data is represented as a computation graph.
So it would go like this:
- Read ONNX file / computation graph (protobuf)
- Create computation graph using ConvNetSharp.Flow
There are only a few ops (computation graph nodes) implemented but that could be enough to run simple models.
I think this is completely feasible :)
from convnetsharp.
I gave it a try: You can take a look at the branch Onnx
This class implements basic onnx loading (Conv
/ Relu
and MaxPool
ops).
But some more ops such as Gemm
, Gather
, Concat
, Unsqueeze
, Reshape
, Constant
, Shape
, are needed, even for a simple model such as model.py:
Some of those ops already exist here, others have to be implement (e.g. Gemm).
from convnetsharp.
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from convnetsharp.