AttributeError: 'list' object has no attribute 'asnumpy'

[shuaih97]

您好！感谢您的工作，我正在尝试您的代码。请问AttributeError: 'list' object has no attribute 'asnumpy'的问题该怎么解决？我用的是mxnet-cu100==1.7.0。请问您当初用的是哪个版本的？mxnet的版本不同似乎会造成非常多的问题。
Traceback (most recent call last):
File "main_4n0_3layer_12T_res.py", line 27, in
net = construct_model(config)
File "/work/users/s/h/shuaishu/Transformer/STFGNN/utils_4n0_3layer_12T_res.py", line 41, in construct_model
init=mx.init.Constant(value=adj_mx.tolist()))
File "/work/users/s/h/shuaishu/.conda/STFGNNpy37/lib/python3.7/site-packages/mxnet/symbol/symbol.py", line 2864, in var
init = init.dumps()
File "/work/users/s/h/shuaishu/.conda/STFGNNpy37/lib/python3.7/site-packages/mxnet/initializer.py", line 477, in dumps
self._kwargs['value'] = val.tolist() if isinstance(val, np.ndarray) else val.asnumpy().tolist()
AttributeError: 'list' object has no attribute 'asnumpy'

[shuaih97]

我换成mxnet-cu100==1.4.0解决了这个问题，但是又有个新的问题
CUDA driver version is insufficient for CUDA runtime version

Traceback (most recent call last):
File "/work/users/s/h/shuaishu/.conda/STFGNNpy37/lib/python3.7/site-packages/mxnet/symbol/symbol.py", line 1523, in simple_bind
ctypes.byref(exe_handle)))
File "/work/users/s/h/shuaishu/.conda/STFGNNpy37/lib/python3.7/site-packages/mxnet/base.py", line 252, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [02:54:45] src/storage/storage.cc:125: Check failed: e == cudaSuccess || e == cudaErrorCudartUnloading CUDA: CUDA driver version is insufficient for CUDA runtime version

Stack trace returned 10 entries:
[bt] (0) /work/users/s/h/shuaishu/.conda/STFGNNpy37/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x4015ca) [0x7fc1f0dce5ca]
[bt] (1) /work/users/s/h/shuaishu/.conda/STFGNNpy37/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x401be1) [0x7fc1f0dcebe1]
[bt] (2) /work/users/s/h/shuaishu/.conda/STFGNNpy37/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x34177eb) [0x7fc1f3de47eb]
[bt] (3) /work/users/s/h/shuaishu/.conda/STFGNNpy37/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x341b0f2) [0x7fc1f3de80f2]
[bt] (4) /work/users/s/h/shuaishu/.conda/STFGNNpy37/lib/python3.7/site-packages/mxnet/libmxnet.so(+0x341c58d) [0x7fc1f3de958d]
[bt] (5) /work/users/s/h/shuaishu/.conda/STFGNNpy37/lib/python3.7/site-packages/mxnet/libmxnet.so(mxnet::NDArray::NDArray(nnvm::TShape const&, mxnet::Context, bool, int)+0x816) [0x7fc1f35fddb6]
[bt] (6) /work/users/s/h/shuaishu/.conda/STFGNNpy37/lib/python3.7/site-packages/mxnet/libmxnet.so(void std::vector<mxnet::NDArray, std::allocatormxnet::NDArray >::_M_emplace_back_aux<nnvm::TShape const&, mxnet::Context const&, bool, int const&>(nnvm::TShape const&, mxnet::Context const&, bool&&, int const&)+0xda) [0x7fc1f36c05ca]
[bt] (7) /work/users/s/h/shuaishu/.conda/STFGNNpy37/lib/python3.7/site-packages/mxnet/libmxnet.so(mxnet::common::EmplaceBackZeros(mxnet::NDArrayStorageType, nnvm::TShape const&, mxnet::Context const&, int, std::vector<mxnet::NDArray, std::allocatormxnet::NDArray >)+0x365) [0x7fc1f36c0c55]
[bt] (8) /work/users/s/h/shuaishu/.conda/STFGNNpy37/lib/python3.7/site-packages/mxnet/libmxnet.so(mxnet::exec::GraphExecutor::InitArguments(nnvm::IndexedGraph const&, std::vector<nnvm::TShape, std::allocatornnvm::TShape > const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::vector<mxnet::Context, std::allocatormxnet::Context > const&, std::vector<mxnet::Context, std::allocatormxnet::Context > const&, std::vector<mxnet::Context, std::allocatormxnet::Context > const&, std::vector<mxnet::OpReqType, std::allocatormxnet::OpReqType > const&, std::unordered_set<std::string, std::hashstd::string, std::equal_tostd::string, std::allocatorstd::string > const&, mxnet::Executor const, std::unordered_map<std::string, mxnet::NDArray, std::hashstd::string, std::equal_tostd::string, std::allocator<std::pair<std::string const, mxnet::NDArray> > >, std::vector<mxnet::NDArray, std::allocatormxnet::NDArray >, std::vector<mxnet::NDArray, std::allocatormxnet::NDArray >, std::vector<mxnet::NDArray, std::allocatormxnet::NDArray >)+0xcbc) [0x7fc1f36c207c]
[bt] (9) /work/users/s/h/shuaishu/.conda/STFGNNpy37/lib/python3.7/site-packages/mxnet/libmxnet.so(mxnet::exec::GraphExecutor::Init(nnvm::Symbol, mxnet::Context const&, std::map<std::string, mxnet::Context, std::lessstd::string, std::allocator<std::pair<std::string const, mxnet::Context> > > const&, std::vector<mxnet::Context, std::allocatormxnet::Context > const&, std::vector<mxnet::Context, std::allocatormxnet::Context > const&, std::vector<mxnet::Context, std::allocatormxnet::Context > const&, std::unordered_map<std::string, nnvm::TShape, std::hashstd::string, std::equal_tostd::string, std::allocator<std::pair<std::string const, nnvm::TShape> > > const&, std::unordered_map<std::string, int, std::hashstd::string, std::equal_tostd::string, std::allocator<std::pair<std::string const, int> > > const&, std::unordered_map<std::string, int, std::hashstd::string, std::equal_tostd::string, std::allocator<std::pair<std::string const, int> > > const&, std::vector<mxnet::OpReqType, std::allocatormxnet::OpReqType > const&, std::unordered_set<std::string, std::hashstd::string, std::equal_tostd::string, std::allocatorstd::string > const&, std::vector<mxnet::NDArray, std::allocatormxnet::NDArray >, std::vector<mxnet::NDArray, std::allocatormxnet::NDArray >, std::vector<mxnet::NDArray, std::allocatormxnet::NDArray >, std::unordered_map<std::string, mxnet::NDArray, std::hashstd::string, std::equal_tostd::string, std::allocator<std::pair<std::string const, mxnet::NDArray> > >, mxnet::Executor*, std::unordered_map<nnvm::NodeEntry, mxnet::NDArray, nnvm::NodeEntryHash, nnvm::NodeEntryEqual, std::allocator<std::pair<nnvm::NodeEntry const, mxnet::NDArray> > > const&)+0x76d) [0x7fc1f36d03bd]