我试图使用mxnet在Raspberry Pi上实现Inception模型，并得到一个我无法解开的错误：“未知激活类型”。
我成功安装了opencv，mxnet和所有依赖项。我正在运行一个简短的python script，该行在第19行从inception_predict调用一个函数，而该函数又从mxnet调用（第74行）一个预测函数（正向传播）。然后，Mxnet引用一个名为activation-in.h的文件，如果找不到您发送的激活类型（例如Relu，Tanh等），则第149行上存在致命的最后错误。
我查看了模型中的各层（可视化here），所有激活功能似乎都是Relu，我认为它可以正常工作。
我想念一些简单的事情吗？
[16:49:22] /usr/bin/incubator-mxnet/src/nnvm/legacy_json_util.cc:209: Loading symbol saved by previous version v0.8.0. Attempting to upgrade...
[16:49:22] /usr/bin/incubator-mxnet/src/nnvm/legacy_json_util.cc:217: Symbol successfully upgraded!
/usr/bin/incubator-mxnet/python/mxnet/module/base_module.py:67: UserWarning: Data provided by label_shapes don't match names specified by label_names ([] vs. ['softmax_label'])
warnings.warn(msg)
Capturing
Predicting
pre-processed image in 0.22853398323059082
Traceback (most recent call last):
File "camera_test.py", line 19, in <module>
topn = inception_predict.predict_from_local_file(filename, N=5)
File "/home/pi/inception_predict.py", line 74, in predict_from_local_file
return predict(filename, mod, synsets, N)
File "/home/pi/inception_predict.py", line 48, in predict
prob = mod.get_outputs()[0].asnumpy()
File "/usr/bin/incubator-mxnet/python/mxnet/ndarray/ndarray.py", line 1972, in asnumpy
ctypes.c_size_t(data.size)))
File "/usr/bin/incubator-mxnet/python/mxnet/base.py", line 252, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [16:49:24] /usr/bin/incubator-mxnet/src/operator/nn/./activation-inl.h:149: unknown activation type
Stack trace returned 9 entries:
[bt] (0) /usr/bin/incubator-mxnet/python/mxnet/../../build/libmxnet.so(dmlc::StackTrace[abi:cxx11]()+0x38) [0x6ed769e0]
[bt] (1) /usr/bin/incubator-mxnet/python/mxnet/../../build/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x30) [0x6ed77134]
[bt] (2) /usr/bin/incubator-mxnet/python/mxnet/../../build/libmxnet.so(void mxnet::op::ActivationCompute<mshadow::cpu>(nnvm::NodeAttrs const&, mxnet::OpContext const&, std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob> > const&, std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&, std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob> > const&)+0x288) [0x6f19e0ac]
[bt] (3) /usr/bin/incubator-mxnet/python/mxnet/../../build/libmxnet.so(mxnet::exec::FComputeExecutor::Run(mxnet::RunContext, bool)+0x68) [0x6ee3de84]
[bt] (4) /usr/bin/incubator-mxnet/python/mxnet/../../build/libmxnet.so(+0x4bef54) [0x6ee44f54]
[bt] (5) /usr/bin/incubator-mxnet/python/mxnet/../../build/libmxnet.so(mxnet::engine::ThreadedEngine::ExecuteOprBlock(mxnet::RunContext, mxnet::engine::OprBlock*)+0x3ec) [0x6ee2a800]
[bt] (6) /usr/bin/incubator-mxnet/python/mxnet/../../build/libmxnet.so(std::_Function_handler<void (std::shared_ptr<dmlc::ManualEvent>), mxnet::engine::ThreadedEnginePerDevice::PushToExecute(mxnet::engine::OprBlock*, bool)::{lambda()#1}::operator()() const::{lambda(std::shared_ptr<dmlc::ManualEvent>)#1}>::_M_invoke(std::_Any_data const&, std::shared_ptr<dmlc::ManualEvent>&&)+0xd4) [0x6ee2b0a0]
[bt] (7) /usr/bin/incubator-mxnet/python/mxnet/../../build/libmxnet.so(std::thread::_State_impl<std::_Bind_simple<std::function<void (std::shared_ptr<dmlc::ManualEvent>)> (std::shared_ptr<dmlc::ManualEvent>)> >::_M_run()+0x38) [0x6ee2ad28]
[bt] (8) /usr/lib/arm-linux-gnueabihf/libstdc++.so.6(+0x9c9dc) [0x6e1fb9dc]
关于名称匹配的警告也预先警告如下，但这似乎并不致命，甚至不一定与无法识别的激活功能有关：
/usr/bin/incubator-mxnet/python/mxnet/module/base_module.py:67: UserWarning: Data provided by label_shapes don't match names specified by label_names ([] vs. ['softmax_label'])