Neutron3529 commented on pull request #19748:
URL: https://github.com/apache/incubator-mxnet/pull/19748#issuecomment-760893895
```
[2021-01-15T11:17:46.702Z] test_operator_gpu.test_kernel_error_checking ...
Process SpawnProcess-1:
[2021-01-15T11:17:46.702Z] Traceback (most recent call last):
[2021-01-15T11:17:46.702Z] File
"/usr/lib/python3.5/multiprocessing/process.py", line 249, in _bootstrap
[2021-01-15T11:17:46.702Z] self.run()
[2021-01-15T11:17:46.702Z] File
"/usr/lib/python3.5/multiprocessing/process.py", line 93, in run
[2021-01-15T11:17:46.702Z] self._target(*self._args, **self._kwargs)
[2021-01-15T11:17:46.702Z] File
"/work/mxnet/tests/python/gpu/test_operator_gpu.py", line 2238, in
kernel_error_check_imperative
[2021-01-15T11:17:46.702Z] c = (a / b).asnumpy()
[2021-01-15T11:17:46.702Z] File "/usr/lib/python3.5/contextlib.py", line
77, in __exit__
[2021-01-15T11:17:46.702Z] self.gen.throw(type, value, traceback)
[2021-01-15T11:17:46.702Z] File
"/work/mxnet/tests/python/unittest/../../../python/mxnet/test_utils.py", line
2523, in environment
[2021-01-15T11:17:46.702Z] yield
[2021-01-15T11:17:46.702Z] File
"/work/mxnet/tests/python/gpu/test_operator_gpu.py", line 2238, in
kernel_error_check_imperative
[2021-01-15T11:17:46.702Z] c = (a / b).asnumpy()
[2021-01-15T11:17:46.702Z] File
"/work/mxnet/tests/python/unittest/../../../python/mxnet/ndarray/ndarray.py",
line 354, in __truediv__
[2021-01-15T11:17:46.702Z] return divide(self, other)
[2021-01-15T11:17:46.702Z] File
"/work/mxnet/tests/python/unittest/../../../python/mxnet/ndarray/ndarray.py",
line 3820, in divide
[2021-01-15T11:17:46.702Z] _internal._rdiv_scalar)
[2021-01-15T11:17:46.702Z] File
"/work/mxnet/tests/python/unittest/../../../python/mxnet/ndarray/ndarray.py",
line 3576, in _ufunc_helper
[2021-01-15T11:17:46.702Z] return fn_array(lhs, rhs)
[2021-01-15T11:17:46.702Z] File "<string>", line 52, in broadcast_div
[2021-01-15T11:17:46.702Z] File
"/work/mxnet/tests/python/unittest/../../../python/mxnet/_ctypes/ndarray.py",
line 91, in _imperative_invoke
[2021-01-15T11:17:46.702Z] ctypes.byref(out_stypes)))
[2021-01-15T11:17:46.702Z] File
"/work/mxnet/tests/python/unittest/../../../python/mxnet/base.py", line 246, in
check_call
[2021-01-15T11:17:46.702Z] raise get_last_ffi_error()
[2021-01-15T11:17:46.702Z] mxnet.base.MXNetError: Traceback (most recent
call last):
[2021-01-15T11:17:46.702Z] [bt] (9)
/usr/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(+0x9fcb)
[0x7f5b336f8fcb]
[2021-01-15T11:17:46.702Z] [bt] (8)
/usr/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(_ctypes_callproc+0x49a)
[0x7f5b3370501a]
[2021-01-15T11:17:46.702Z] [bt] (7)
/usr/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(ffi_call+0x2eb)
[0x7f5b3370a88b]
[2021-01-15T11:17:46.702Z] [bt] (6)
/usr/lib/python3.5/lib-dynload/_ctypes.cpython-35m-x86_64-linux-gnu.so(ffi_call_unix64+0x4c)
[0x7f5b3370ae20]
[2021-01-15T11:17:46.702Z] [bt] (5)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(MXImperativeInvokeEx+0x5b)
[0x7f5ad94b34bb]
[2021-01-15T11:17:46.702Z] [bt] (4)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(MXImperativeInvokeImpl(void*,
int, void**, int*, void***, int, char const**, char const**)+0x650)
[0x7f5ad94b1e10]
[2021-01-15T11:17:46.702Z] [bt] (3)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(mxnet::Imperative::Invoke(mxnet::Context
const&, nnvm::NodeAttrs const&, std::vector<mxnet::NDArray*,
std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::NDArray*,
std::allocator<mxnet::NDArray*> > const&)+0x35c) [0x7f5ad8bdb1dc]
[2021-01-15T11:17:46.702Z] [bt] (2)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(mxnet::imperative::SetShapeType(mxnet::Context
const&, nnvm::NodeAttrs const&, std::vector<mxnet::NDArray*,
std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::NDArray*,
std::allocator<mxnet::NDArray*> > const&, mxnet::DispatchMode*)+0x23a5)
[0x7f5ad8bd4de5]
[2021-01-15T11:17:46.702Z] [bt] (1)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(mxnet::op::BinaryBroadcastShape(nnvm::NodeAttrs
const&, std::vector<mxnet::TShape, std::allocator<mxnet::TShape> >*,
std::vector<mxnet::TShape, std::allocator<mxnet::TShape> >*)+0x3c2)
[0x7f5ad3e89d42]
[2021-01-15T11:17:46.702Z] [bt] (0)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x61)
[0x7f5ad3bd3ef1]
[2021-01-15T11:17:46.702Z] File
"src/operator/numpy/linalg/./../../tensor/elemwise_binary_broadcast_op.h", line
68
[2021-01-15T11:17:46.702Z] MXNetError: Check failed: l == 1 || r == 1:
operands could not be broadcast together with shapes [3] [0]
[2021-01-15T11:17:51.940Z] Process SpawnProcess-2:
[2021-01-15T11:17:51.940Z] Traceback (most recent call last):
[2021-01-15T11:17:51.940Z] File
"/usr/lib/python3.5/multiprocessing/process.py", line 249, in _bootstrap
[2021-01-15T11:17:51.940Z] self.run()
[2021-01-15T11:17:51.940Z] File
"/usr/lib/python3.5/multiprocessing/process.py", line 93, in run
[2021-01-15T11:17:51.940Z] self._target(*self._args, **self._kwargs)
[2021-01-15T11:17:51.940Z] File
"/work/mxnet/tests/python/gpu/test_operator_gpu.py", line 2249, in
kernel_error_check_symbolic
[2021-01-15T11:17:51.940Z] g = f.outputs[0].asnumpy()
[2021-01-15T11:17:51.940Z] File "/usr/lib/python3.5/contextlib.py", line
77, in __exit__
[2021-01-15T11:17:51.940Z] self.gen.throw(type, value, traceback)
[2021-01-15T11:17:51.940Z] File
"/work/mxnet/tests/python/unittest/../../../python/mxnet/test_utils.py", line
2523, in environment
[2021-01-15T11:17:51.940Z] yield
[2021-01-15T11:17:51.940Z] File
"/work/mxnet/tests/python/gpu/test_operator_gpu.py", line 2247, in
kernel_error_check_symbolic
[2021-01-15T11:17:51.940Z] 'b':mx.nd.array([],ctx=mx.gpu(0))})
[2021-01-15T11:17:51.940Z] File
"/work/mxnet/tests/python/unittest/../../../python/mxnet/symbol/symbol.py",
line 2119, in bind
[2021-01-15T11:17:51.940Z] ctypes.byref(handle)))
[2021-01-15T11:17:51.940Z] File
"/work/mxnet/tests/python/unittest/../../../python/mxnet/base.py", line 246, in
check_call
[2021-01-15T11:17:51.940Z] raise get_last_ffi_error()
[2021-01-15T11:17:51.940Z] mxnet.base.MXNetError: Traceback (most recent
call last):
[2021-01-15T11:17:51.940Z] [bt] (9)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(MXExecutorBindEX+0xc0a)
[0x7f8286b4442a]
[2021-01-15T11:17:51.940Z] [bt] (8)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(mxnet::Executor::Bind(nnvm::Symbol,
mxnet::Context const&, std::map<std::__cxx11::basic_string<char,
std::char_traits<char>, std::allocator<char> >, mxnet::Context,
std::less<std::__cxx11::basic_string<char, std::char_traits<char>,
std::allocator<char> > >,
std::allocator<std::pair<std::__cxx11::basic_string<char,
std::char_traits<char>, std::allocator<char> > const, mxnet::Context> > >
const&, std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> > const&,
std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> > const&,
std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&,
std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> > const&,
mxnet::Executor*)+0x204) [0x7f8286c5d364]
[2021-01-15T11:17:51.940Z] [bt] (7)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(mxnet::exec::GraphExecutor::Init(nnvm::Symbol,
mxnet::Context const&, std::map<std::__cxx11::basic_string<char,
std::char_traits<char>, std::allocator<char> >, mxnet::Context,
std::less<std::__cxx11::basic_string<char, std::char_traits<char>,
std::allocator<char> > >,
std::allocator<std::pair<std::__cxx11::basic_string<char,
std::char_traits<char>, std::allocator<char> > const, mxnet::Context> > >
const&, std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> > const&,
std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> > const&,
std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&,
std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> > const&,
mxnet::Executor*, std::unordered_map<nnvm::NodeEntry, mxnet::NDArray,
nnvm::NodeEntryHash, nnvm::NodeEntryEqual,
std::allocator<std::pair<nnvm::NodeEntry const, mxnet::NDArray> > >
const&)+0x11eb) [0x7f8286c5140b]
[2021-01-15T11:17:51.940Z] [bt] (6)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(mxnet::exec::InferShape(nnvm::Graph&&,
std::vector<mxnet::TShape, std::allocator<mxnet::TShape> >&&,
std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >
const&)+0x83) [0x7f8286c2aeb3]
[2021-01-15T11:17:51.940Z] [bt] (5)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(+0x7b9437e) [0x7f8286c2837e]
[2021-01-15T11:17:51.940Z] [bt] (4)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(+0x7b903c7) [0x7f8286c243c7]
[2021-01-15T11:17:51.940Z] [bt] (3)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(bool mxnet::op::ElemwiseShape<2,
1>(nnvm::NodeAttrs const&, std::vector<mxnet::TShape,
std::allocator<mxnet::TShape> >*, std::vector<mxnet::TShape,
std::allocator<mxnet::TShape> >*)+0x229) [0x7f8281ed7ce9]
[2021-01-15T11:17:51.940Z] [bt] (2)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(bool
mxnet::op::ElemwiseAttrHelper<mxnet::TShape, &mxnet::op::shape_is_none,
&mxnet::op::shape_assign, true, &mxnet::op::shape_string[abi:cxx11], -1,
-1>(std::__cxx11::basic_string<char, std::char_traits<char>,
std::allocator<char> > const&, std::vector<mxnet::TShape,
std::allocator<mxnet::TShape> >*, std::vector<mxnet::TShape,
std::allocator<mxnet::TShape> >*, mxnet::TShape const&)+0x215) [0x7f828132c4e5]
[2021-01-15T11:17:51.940Z] [bt] (1)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(bool
mxnet::op::ElemwiseAttrHelper<mxnet::TShape, &mxnet::op::shape_is_none,
&mxnet::op::shape_assign, true, &mxnet::op::shape_string[abi:cxx11], -1,
-1>(std::__cxx11::basic_string<char, std::char_traits<char>,
std::allocator<char> > const&, std::vector<mxnet::TShape,
std::allocator<mxnet::TShape> >*, std::vector<mxnet::TShape,
std::allocator<mxnet::TShape> >*, mxnet::TShape
const&)::{lambda(std::vector<mxnet::TShape, std::allocator<mxnet::TShape> >
const&, unsigned long, char const*)#1}::operator()(std::vector<mxnet::TShape,
std::allocator<mxnet::TShape> > const&, unsigned long, char const*)
const+0x10a8) [0x7f828132acf8]
[2021-01-15T11:17:51.940Z] [bt] (0)
/work/mxnet/python/mxnet/../../lib/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x61)
[0x7f82812b5ef1]
[2021-01-15T11:17:51.940Z] MXNetError: Error in operator _div0: [11:17:47]
src/operator/numpy/linalg/./../../tensor/../elemwise_op_common.h:135: Check
failed: assign(&dattr, vec.at(i)): Incompatible attr in node _div0 at 1-th
input: expected [3], got [0]
```
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