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when i run the demo,the mistakse is: Traceback (most recent call last): File "demo.py", line 257, in main() File "demo.py", line 156, in main arg_params=arg_params, aux_params=aux_params) File "/home/huawei/fgfa1/Flow-Guided-Feature-Aggregation/fgfa_rfcn/core/tester.py", line 37, in init self._mod.bind(provide_data, provide_label, for_training=False) File "/home/huawei/fgfa1/Flow-Guided-Feature-Aggregation/fgfa_rfcn/core/module.py", line 844, in bind for_training, inputs_need_grad, force_rebind=False, shared_module=None) File "/home/huawei/fgfa1/Flow-Guided-Feature-Aggregation/fgfa_rfcn/core/module.py", line 401, in bind state_names=self._state_names) File "/home/huawei/fgfa1/Flow-Guided-Feature-Aggregation/fgfa_rfcn/core/DataParallelExecutorGroup.py", line 191, in init self.bind_exec(data_shapes, label_shapes, shared_group) File "/home/huawei/fgfa1/Flow-Guided-Feature-Aggregation/fgfa_rfcn/core/DataParallelExecutorGroup.py", line 277, in bind_exec shared_group)) File "/home/huawei/fgfa1/Flow-Guided-Feature-Aggregation/fgfa_rfcn/core/DataParallelExecutorGroup.py", line 550, in _bind_ith_exec context, self.logger) File "/home/huawei/fgfa1/Flow-Guided-Feature-Aggregation/fgfa_rfcn/core/DataParallelExecutorGroup.py", line 528, in _get_or_reshape arg_arr = nd.zeros(arg_shape, context, dtype=arg_type) File "/usr/local/lib/python2.7/dist-packages/mxnet-1.6.0-py2.7.egg/mxnet/ndarray/utils.py", line 67, in zeros return _zeros_ndarray(shape, ctx, dtype, kwargs) File "/usr/local/lib/python2.7/dist-packages/mxnet-1.6.0-py2.7.egg/mxnet/ndarray/ndarray.py", line 4610, in zeros return _internal._zeros(shape=shape, ctx=ctx, dtype=dtype, kwargs) File "", line 36, in _zeros File "/usr/local/lib/python2.7/dist-packages/mxnet-1.6.0-py2.7.egg/mxnet/_ctypes/ndarray.py", line 107, in _imperative_invoke ctypes.byref(out_stypes))) File "/usr/local/lib/python2.7/dist-packages/mxnet-1.6.0-py2.7.egg/mxnet/base.py", line 254, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: [15:54:33] include/mxnet/./base.h:526: Invalid context string gpu(0) Stack trace: [bt] (0) /home/huawei/fgfa1/incubator-mxnet/lib/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x32) [0x7fae2c1d4da2] [bt] (1) /home/huawei/fgfa1/incubator-mxnet/lib/libmxnet.so(mxnet::Context::FromString(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&)+0x4f7) [0x7fae2ee1f777] [bt] (2) /home/huawei/fgfa1/incubator-mxnet/lib/libmxnet.so(mxnet::imperative::GetContext(nnvm::NodeAttrs const&, std::vector<mxnet::NDArray*, std::allocatormxnet::NDArray* > const&, std::vector<mxnet::NDArray*, std::allocatormxnet::NDArray* > const&, mxnet::Context const&)+0x1dd) [0x7fae2ee3bb8d] [bt] (3) /home/huawei/fgfa1/incubator-mxnet/lib/libmxnet.so(mxnet::Imperative::Invoke(mxnet::Context const&, nnvm::NodeAttrs const&, std::vector<mxnet::NDArray*, std::allocatormxnet::NDArray* > const&, std::vector<mxnet::NDArray*, std::allocatormxnet::NDArray* > const&)+0x332) [0x7fae2ee28d62] [bt] (4) /home/huawei/fgfa1/incubator-mxnet/lib/libmxnet.so(MXImperativeInvokeImpl(void*, int, void**, int*, void***, int, char const**, char const**)+0xb33) [0x7fae2f6474b3] [bt] (5) /home/huawei/fgfa1/incubator-mxnet/lib/libmxnet.so(MXImperativeInvokeEx+0x534) [0x7fae2f649024] [bt] (6) /usr/lib/x86_64-linux-gnu/libffi.so.6(ffi_call_unix64+0x4c) [0x7fae5fe74e40] [bt] (7) /usr/lib/x86_64-linux-gnu/libffi.so.6(ffi_call+0x2eb) [0x7fae5fe748ab] [bt] (8) /usr/lib/python2.7/lib-dynload/_ctypes.x86_64-linux-gnu.so(_ctypes_callproc+0x48f) [0x7fae600843df]
The text was updated successfully, but these errors were encountered:
Same error here, did you solve it?
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when i run the demo,the mistakse is:
Traceback (most recent call last):
File "demo.py", line 257, in
main()
File "demo.py", line 156, in main
arg_params=arg_params, aux_params=aux_params)
File "/home/huawei/fgfa1/Flow-Guided-Feature-Aggregation/fgfa_rfcn/core/tester.py", line 37, in init
self._mod.bind(provide_data, provide_label, for_training=False)
File "/home/huawei/fgfa1/Flow-Guided-Feature-Aggregation/fgfa_rfcn/core/module.py", line 844, in bind
for_training, inputs_need_grad, force_rebind=False, shared_module=None)
File "/home/huawei/fgfa1/Flow-Guided-Feature-Aggregation/fgfa_rfcn/core/module.py", line 401, in bind
state_names=self._state_names)
File "/home/huawei/fgfa1/Flow-Guided-Feature-Aggregation/fgfa_rfcn/core/DataParallelExecutorGroup.py", line 191, in init
self.bind_exec(data_shapes, label_shapes, shared_group)
File "/home/huawei/fgfa1/Flow-Guided-Feature-Aggregation/fgfa_rfcn/core/DataParallelExecutorGroup.py", line 277, in bind_exec
shared_group))
File "/home/huawei/fgfa1/Flow-Guided-Feature-Aggregation/fgfa_rfcn/core/DataParallelExecutorGroup.py", line 550, in _bind_ith_exec
context, self.logger)
File "/home/huawei/fgfa1/Flow-Guided-Feature-Aggregation/fgfa_rfcn/core/DataParallelExecutorGroup.py", line 528, in _get_or_reshape
arg_arr = nd.zeros(arg_shape, context, dtype=arg_type)
File "/usr/local/lib/python2.7/dist-packages/mxnet-1.6.0-py2.7.egg/mxnet/ndarray/utils.py", line 67, in zeros
return _zeros_ndarray(shape, ctx, dtype, kwargs)
File "/usr/local/lib/python2.7/dist-packages/mxnet-1.6.0-py2.7.egg/mxnet/ndarray/ndarray.py", line 4610, in zeros
return _internal._zeros(shape=shape, ctx=ctx, dtype=dtype, kwargs)
File "", line 36, in _zeros
File "/usr/local/lib/python2.7/dist-packages/mxnet-1.6.0-py2.7.egg/mxnet/_ctypes/ndarray.py", line 107, in _imperative_invoke
ctypes.byref(out_stypes)))
File "/usr/local/lib/python2.7/dist-packages/mxnet-1.6.0-py2.7.egg/mxnet/base.py", line 254, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [15:54:33] include/mxnet/./base.h:526: Invalid context string gpu(0)
Stack trace:
[bt] (0) /home/huawei/fgfa1/incubator-mxnet/lib/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x32) [0x7fae2c1d4da2]
[bt] (1) /home/huawei/fgfa1/incubator-mxnet/lib/libmxnet.so(mxnet::Context::FromString(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&)+0x4f7) [0x7fae2ee1f777]
[bt] (2) /home/huawei/fgfa1/incubator-mxnet/lib/libmxnet.so(mxnet::imperative::GetContext(nnvm::NodeAttrs const&, std::vector<mxnet::NDArray*, std::allocatormxnet::NDArray* > const&, std::vector<mxnet::NDArray*, std::allocatormxnet::NDArray* > const&, mxnet::Context const&)+0x1dd) [0x7fae2ee3bb8d]
[bt] (3) /home/huawei/fgfa1/incubator-mxnet/lib/libmxnet.so(mxnet::Imperative::Invoke(mxnet::Context const&, nnvm::NodeAttrs const&, std::vector<mxnet::NDArray*, std::allocatormxnet::NDArray* > const&, std::vector<mxnet::NDArray*, std::allocatormxnet::NDArray* > const&)+0x332) [0x7fae2ee28d62]
[bt] (4) /home/huawei/fgfa1/incubator-mxnet/lib/libmxnet.so(MXImperativeInvokeImpl(void*, int, void**, int*, void***, int, char const**, char const**)+0xb33) [0x7fae2f6474b3]
[bt] (5) /home/huawei/fgfa1/incubator-mxnet/lib/libmxnet.so(MXImperativeInvokeEx+0x534) [0x7fae2f649024]
[bt] (6) /usr/lib/x86_64-linux-gnu/libffi.so.6(ffi_call_unix64+0x4c) [0x7fae5fe74e40]
[bt] (7) /usr/lib/x86_64-linux-gnu/libffi.so.6(ffi_call+0x2eb) [0x7fae5fe748ab]
[bt] (8) /usr/lib/python2.7/lib-dynload/_ctypes.x86_64-linux-gnu.so(_ctypes_callproc+0x48f) [0x7fae600843df]
The text was updated successfully, but these errors were encountered: