RuntimeError: simple_bind error. Arguments:

I have this question, can you help me? thank you very much!

call reset()
Traceback (most recent call last):
File "train.py", line 378, in
main()
File "train.py", line 375, in main
train_net(args)
File "train.py", line 370, in train_net
epoch_end_callback = epoch_cb )
File "/home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/module/base_module.py", line 498, in fit
for_training=True, force_rebind=force_rebind)
File "/home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/module/module.py", line 429, in bind
state_names=self._state_names)
File "/home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/module/executor_group.py", line 279, in __init__
self.bind_exec(data_shapes, label_shapes, shared_group)
File "/home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/module/executor_group.py", line 375, in bind_exec
shared_group))
File "/home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/module/executor_group.py", line 662, in _bind_ith_exec
shared_buffer=shared_data_arrays, **input_shapes)
File "/home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/symbol/symbol.py", line 1629, in simple_bind
raise RuntimeError(error_msg)
RuntimeError: simple_bind error. Arguments:
data: (4, 3, 112, 112)
softmax_label: (4,)
[13:19:41] src/engine/./../common/cuda_utils.h:310: Check failed: e == cudaSuccess || e == cudaErrorCudartUnloading: CUDA: invalid device ordinal
Stack trace:
[bt] (0) /home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x4b03ab) [0x7f031c9d03ab]
[bt] (1) /home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x25cc459) [0x7f031eaec459]
[bt] (2) /home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x2e64d96) [0x7f031f384d96]
[bt] (3) /home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x2e6a96f) [0x7f031f38a96f]
[bt] (4) /home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/libmxnet.so(mxnet::NDArray::NDArray(mxnet::TShape const&, mxnet::Context, bool, int)+0x5d0) [0x7f031ea515b0]
[bt] (5) /home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/libmxnet.so(mxnet::common::InitZeros(mxnet::NDArrayStorageType, mxnet::TShape const&, mxnet::Context const&, int)+0x5c) [0x7f031eb052ac]
[bt] (6) /home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/libmxnet.so(mxnet::common::ReshapeOrCreate(std::string const&, mxnet::TShape const&, int, mxnet::NDArrayStorageType, mxnet::Context const&, std::unordered_map, std::equal_to, std::allocator > >*, bool)+0x3a1) [0x7f031eb189f1]
[bt] (7) /home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/libmxnet.so(mxnet::exec::GraphExecutor::InitArguments(nnvm::IndexedGraph const&, std::vector > const&, std::vector > const&, std::vector > const&, std::vector > const&, std::vector > const&, std::vector > const&, std::vector > const&, std::unordered_set, std::equal_to, std::allocator > const&, mxnet::Executor const*, std::unordered_map, std::equal_to, std::allocator > >*, std::vector >*, std::vector >*, std::vector >*)+0xb10) [0x7f031eb209c0]
[bt] (8) /home/ai/anaconda3/envs/arcface/lib/python2.7/site-packages/mxnet/libmxnet.so(mxnet::exec::GraphExecutor::Init(nnvm::Symbol, mxnet::Context const&, std::map, std::allocator > > const&, std::vector > const&, std::vector > const&, std::vector > const&, std::unordered_map, std::equal_to, std::allocator > > const&, std::unordered_map, std::equal_to, std::allocator > > const&, std::unordered_map, std::equal_to, std::allocator > > const&, std::vector > const&, std::unordered_set, std::equal_to, std::allocator > const&, std::vector >*, std::vector >*, std::vector >*, std::unordered_map, std::equal_to, std::allocator > >*, mxnet::Executor*, std::unordered_map > > const&)+0x6bc) [0x7f031eb2ed9c]