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ステータスを更新
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Masato Hori committed Jun 18, 2018
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4 changes: 2 additions & 2 deletions python/src/nnabla/utils/converter/onnx/ONNXOpCoverage.md
Original file line number Diff line number Diff line change
Expand Up @@ -63,7 +63,7 @@ that indicates if each operator can be converted to NNP.
|Not|:green_heart:||
|Or|:yellow_heart:|broadcast will be converted to a BroadcastTo|
|PRelu|:green_heart:||
|Pad|:purple_heart:|Should map to Pad|
|Pad|:yellow_heart:|For NNP to ONNX conversion, input buffer's dimension is assumed to be 4D if the shape cannot be determined.|
|Pow|:yellow_heart:|broadcast will be converted to a BroadcastTo|
|RNN|:broken_heart:|Operator does not exist in NNabla|
|RandomNormal|:purple_heart:|Should be able to map to Randn|
Expand All @@ -78,7 +78,7 @@ that indicates if each operator can be converted to NNP.
|ReduceMax|:green_heart:||
|ReduceMean|:green_heart:||
|ReduceMin|:green_heart:||
|ReduceProd|:purple_heart:|Should be able to map to Prod. No reference implementation in CNTK or Caffe2|
|ReduceProd|:green_heart:||
|ReduceSum|:green_heart:||
|ReduceSumSquare|:broken_heart:|Operator does not exit in NNabla|
|Relu|:green_heart:||
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