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operation requirements #74
Comments
power op |
shuffle op |
Constant op |
Please specify where the op comes from(Tensorflow, Caffe, or ONNX)
|
pad
ONNX |
Not Supported OP: Framework: |
Not Supported OP: Framework: |
ShuffleNet is a network not an op |
Sorry, my meaning is ShuffleChannel. |
ShuffleChannel is NOT a OP in pytorch、onnx or tensorflow! By the way tensorflow-shufflenet is tested. You can try. |
not support OP: |
pad
tensorflow |
Not Supported OP: Framework: |
Framework: Not Supported OP: |
Framework: Not Supported OP: Framework: Not Supported OP: |
Op Requirements For ONNX |
Framework: Not Supported OP: |
Not Supported OP: Framework: |
Not Supported OP: Error: Framework: |
Framework: Not Supported OP: |
Framework: Not Supported OP: |
@92ypli @tanhui2975 @kunyao2015 |
@yizhaoyanbo @563816752 |
Not Supported OP: Framework: |
Not Supported OP: Framework: |
Framework: onnx Not Supported OP: Asymmetrical pads |
Framework: Not Supported OP: |
Not Supported OP: Framework: See this issue: Thx so much! |
Framework: Not Supported OP: |
Framework: Not Supported OP: |
+1 dcn op needed for YOLACT++ |
Framework: Not Supported OP: |
Framework: Not Supported OP: |
Framework: Not Supported OP: |
Framework: Not Supported OP: |
Framework: Not Supported OP: |
Framework: Not Supported OP: |
Framework: Not Supported OP: |
Framework: Not Supported OP: |
Framework: Not Supported OP: |
Framework: Not Supported OP: |
|
not support OP: |
opencl ArgMax (caffe) |
cosine_similiarity for onnx |
Framework: Not supported OPs: |
Not Supported OP: Framework: |
tensorflow lite |
Framework: Not supported OPs: |
Framework: Not Supported OP: |
1 similar comment
Framework: Not Supported OP: |
Known Op Requirements For TensorFlow
TensorArrayGatherV3 (These Op not Supported #462)TensorArrayGatherV3 (These Op not Supported #462)TensorArrayReadV3 (These Op not Supported #462)TensorArrayScatterV3 (These Op not Supported #462)TensorArraySizeV3 (These Op not Supported #462)TensorArrayV3 (These Op not Supported #462)TensorArrayWriteV3 (These Op not Supported #462)Pad (@rkshuai, @563816752 / MNN Converter NOT_SUPPORTED_OP: [ Pad ] #120 )FusedBatchNorm (@RobertAuditore )ResizeBilinear+UInt8 (@WenguoLi )MirrorPad (@Alcaster )
OneHot (@Alcaster )
FakeQuantWithMinMaxVars (MNNConvert error #146 @liguiyuan)FusedBatchNormV3 (@leo-nullptr)LeakyRelu (@KanaSukita)StrideSlice (@MaybeShewill-CV )Iterator/IteratorGetNext (@JiangtianPan )Merge (@jimdinunzio)ResizeBicubic (@jimdinunzio)Switch (@jimdinunzio)FusedPadConv2D (@jimdinunzio)LogicalAnd (@JiangtianPan, @ChristineRYY)
LogicalOr (@ChristineRYY)
flatten (@ChisenZhang )GRU Dense (@liziru )Known Op Requirements For TensorFlow Lite
Known Op Requirements For ONNX
PRelu (Convert onnx model err #9 )LeakyReLU (@yizhaoyanbo, ONNX NOT SUPPORTED OP [LeakyRelu][Slice][sigmoid][reducesum] #144 @zhyj3038 )Mul (@563816752)ReLU6 (@563816752 )ELU (@MoonBunnyZZZ, @DHNicoles )ReduceMean (@Alcaster )Slice (ONNX NOT SUPPORTED OP [LeakyRelu][Slice][sigmoid][reducesum] #144 @zhyj3038)Sigmoid (ONNX NOT SUPPORTED OP [LeakyRelu][Slice][sigmoid][reducesum] #144 @zhyj3038)ReduceSum (ONNX NOT SUPPORTED OP [LeakyRelu][Slice][sigmoid][reducesum] #144 @zhyj3038)Split (@doodoo0006 )MatMul (@leo-nullptr, ONNX模型转化出错:MNN Converter NOT_SUPPORTED_OP: [ MatMul ] #257 @BokyLiu, @liuwuliuyun )LSTM (@Cheneng)Pad (@yizhaoyanbo)Slice (@pfeatherstone)Cast (@pfeatherstone)ConvTranspose (@bobzhang123, @yizhaoyanbo)Known Op Requirements For Caffe
If you have any op requirements, you could write a comment to let us know, even if it's mentioned above. Please specify where the op comes from(Tensorflow, Caffe, or ONNX) like this:
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