joddiy commented on issue #700: URL: https://github.com/apache/singa/issues/700#issuecomment-645838557
> Hi, > > Exp operator is already implemented in autograd.py > > Thanks and Regards, > Shashank Nigam Hi, @Shashankwer , the Type 1 means the operators have been implemented in autograd.py, we only need to add it into the sonnx.py. You can follow my PR to see how to add an operator to sonnx.py and please follow by the [ONNX Operator Schemas](https://github.com/onnx/onnx/blob/master/docs/Operators.md). @Shashankwer @Alvinnyk @agnesnatasya There are two points I should explain a little more: ``` onnx_node.set_attr_inputs(onnx_node.inputs[1], 'depth') onnx_node.set_weight_inputs(onnx_node.inputs[2], 'scale') ``` `set_attr_inputs` means in [ONNX Operator Schemas](https://github.com/onnx/onnx/blob/master/docs/Operators.md), they regard an element as input, but we regard it as an attribute, so we mark the second input `onnx_node.inputs[1]` as attribute `depth` in SINGA. `set_weight_inputs` means in [ONNX Operator Schemas](https://github.com/onnx/onnx/blob/master/docs/Operators.md), they regard an element as input and they store its value, but we regard it as a weight in `layer.py`. so we mark the third input `onnx_node.inputs[2]` as weight `scale` in SINGA. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
