Don't support not const scale node
Converte Tensorflow's Op tower_0/ShuffleNetV2/Stage4/unit_4/conv1x1_after/BatchNorm/cond/FusedBatchNorm_1 , type = FusedBatchNorm, failed, may be some node is not const
[10:33:37] /Users/Jin/OpenSourceCode/MNN/tools/converter/source/optimizer/PostConverter.cpp:20: Inputs: training_flag
[10:33:37] /Users/Jin/OpenSourceCode/MNN/tools/converter/source/optimizer/PostConverter.cpp:20: Inputs: tower_0/images
[10:33:37] /Users/Jin/OpenSourceCode/MNN/tools/converter/source/optimizer/PostConverter.cpp:37: Outputs: tower_0/SpatialSqueeze, Type = Squeeze
The Model Has Control / Extra Op, Please Compile the Code of model.cpp or use model.py
libc++abi.dylib: terminating with uncaught exception of type Error: [10:33:37] /Users/Jin/OpenSourceCode/MNN/tools/converter/source/common/writeFb.cpp:107: Check failed: (notSupportOps.size()) == (0) ==> These Op Not Support: Tensorflow::FusedBatchNorm |
Abort trap: 6
Don't support not const scale node Converte Tensorflow's Op tower_0/ShuffleNetV2/Stage4/unit_4/conv1x1_after/BatchNorm/cond/FusedBatchNorm_1 , type = FusedBatchNorm, failed, may be some node is not const [10:33:37] /Users/Jin/OpenSourceCode/MNN/tools/converter/source/optimizer/PostConverter.cpp:20: Inputs: training_flag [10:33:37] /Users/Jin/OpenSourceCode/MNN/tools/converter/source/optimizer/PostConverter.cpp:20: Inputs: tower_0/images [10:33:37] /Users/Jin/OpenSourceCode/MNN/tools/converter/source/optimizer/PostConverter.cpp:37: Outputs: tower_0/SpatialSqueeze, Type = Squeeze The Model Has Control / Extra Op, Please Compile the Code of model.cpp or use model.py libc++abi.dylib: terminating with uncaught exception of type Error: [10:33:37] /Users/Jin/OpenSourceCode/MNN/tools/converter/source/common/writeFb.cpp:107: Check failed: (notSupportOps.size()) == (0) ==> These Op Not Support: Tensorflow::FusedBatchNorm | Abort trap: 6
请问有什么建议吗?在MNN的Issue里搜到这条: #594 对tf不太熟悉,怎么导出模型为is_training = false呢?请指点一下。