Failed to infer shape. Op: A × Bᵀ: Inner dimensions do not match up about onnx-go HOT 2 OPEN

Cool, that you found the error.

About reduceMean operator, I don’t know if it is easy to implement, I have to look at it.

It is the main problem with this implementation, as there are few contribution, I can hardly follow the development of the main stream.

I am on holiday and i’ll try to have a look.
I can also help you if you want to try to implement it by yourself.

Olivier

from onnx-go.

Cheers buddy,

I am trying to implement reduceMean and i did not understand how to take the parameters from the network.

I saw the following code into the resharp implementation:

	n := ns[0]
	children := getOrderedChildren(g.g, n)
	err := checkCondition(children, 2)
	if err != nil {
		return err
	}

	err = a.inferShape(children[1].gorgoniaNode.Value().Data(), children[0].gorgoniaNode.Shape())
	if err != nil {
		return err
	}

my question is how do I know witch parameters the calling for reduce will pass?
Like how do I know what is on

children[1].gorgoniaNode.Value().Data()

or

children[0].gorgoniaNode.Shape()

from onnx-go.