[GitHub] [singa] joddiy edited a comment on issue #784: Preparation for V3.1 release

[GitBox <gi...@apache.org>]

joddiy edited a comment on issue #784:
URL: https://github.com/apache/singa/issues/784#issuecomment-698968614


     * 12 new operators are added into the autograd module: CosSim, DepthToSpace, Embedding, Erf, Expand, Floor, Pad, Round, Rounde, SpaceToDepth, UpSample, Where.
   
     * 2 layers are added into layer module: Embedding, Gemm.
   
     * 9 new operators are added to sonnx module for both backend and frontend: 
       [DepthToSpace](https://github.com/onnx/onnx/blob/master/docs/Operators.md#DepthToSpace), 
       [Erf](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Erf), 
       [Expand](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Expand), 
       [Floor](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Floor), 
       [Pad](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Pad), 
       [Round](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Round), 
       [SpaceToDepth](https://github.com/onnx/onnx/blob/master/docs/Operators.md#SpaceToDepth), 
       [UpSample](https://github.com/onnx/onnx/blob/master/docs/Operators.md#UpSample), 
       [Where](https://github.com/onnx/onnx/blob/master/docs/Operators.md#Where), 
       Their tests are added as well.
   
     * Some ONNX models are imported into SINGA, including 
       [DenseNet121](https://github.com/onnx/models/blob/master/vision/classification/densenet-121), 
       [ShuffleNetv1](https://github.com/onnx/models/blob/master/vision/classification/shufflenet), 
       [ShuffleNetv2](https://github.com/onnx/models/blob/master/vision/classification/shufflenet), 
       [SqueezeNet](https://github.com/onnx/models/blob/master/vision/classification/squeezenet), 
       [VGG19](https://github.com/onnx/models/blob/master/vision/classification/vgg), 
       [GPT2](https://github.com/onnx/models/blob/master/text/machine_comprehension/gpt-2), 
       [RoBERTa](https://github.com/onnx/models/blob/master/text/machine_comprehension/roberta),  
   
     * Reconstruct soonx, 
   	- Support creating operators from both layer and autograd.
   	- Re-write `SingaRep` to provide more powerful intermediate representation of SINGA.
   	- Add a `SONNXModel` which implements from 'Model' to provide uniform API and features.
   


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