stu1130 opened a new issue #18569:
URL: https://github.com/apache/incubator-mxnet/issues/18569
## Description
latest mxnet pip wheel
```
import mxnet as mx
from mxnet import npx
npx.set_np()
a = mx.np.array([]).reshape(2, 1, 0)
b = mx.npx.softmax(a)
b.wait_to_read()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File
"/home/ubuntu/.local/lib/python3.5/site-packages/mxnet/ndarray/ndarray.py",
line 2353, in wait_to_read
check_call(_LIB.MXNDArrayWaitToRead(self.handle))
File "/home/ubuntu/.local/lib/python3.5/site-packages/mxnet/base.py", line
255, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [20:43:29] src/ndarray/ndarray.cc:507: Check failed:
delay_alloc:
Stack trace:
[bt] (0)
/home/ubuntu/.local/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x6d554b)
[0x7efe143bd54b]
[bt] (1)
/home/ubuntu/.local/lib/python3.5/site-packages/mxnet/libmxnet.so(mxnet::NDArray::Chunk::SetMKLMem(mxnet::TShape
const&, int)+0x7b2) [0x7efe177b2082]
[bt] (2)
/home/ubuntu/.local/lib/python3.5/site-packages/mxnet/libmxnet.so(mxnet::NDArray::GetMKLDNNData()
const+0x70) [0x7efe177b6ae0]
[bt] (3)
/home/ubuntu/.local/lib/python3.5/site-packages/mxnet/libmxnet.so(mxnet::op::MKLDNNSoftmaxForward(nnvm::NodeAttrs
const&, mxnet::OpContext const&, mxnet::NDArray const&, mxnet::OpReqType
const&, mxnet::NDArray const&)+0x564) [0x7efe14466a24]
[bt] (4)
/home/ubuntu/.local/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x115e4bd)
[0x7efe14e464bd]
[bt] (5)
/home/ubuntu/.local/lib/python3.5/site-packages/mxnet/libmxnet.so(mxnet::imperative::PushFComputeEx(std::function<void
(nnvm::NodeAttrs const&, mxnet::OpContext 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&)> const&, nnvm::Op const*,
nnvm::NodeAttrs const&, mxnet::Context const&, std::vector<mxnet::engine::Var*,
std::allocator<mxnet::engine::Var*> > const&, std::vector<mxnet::engine::Var*,
std::allocator<mxnet::engine::Var*> > const&, std::vector<mxnet::Resource,
std::allocator<mxnet::Resource> > 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&)::{lambda(mxnet::RunContext)#1}::operator()(mxnet::RunContext)
const+0x3c4) [0x7efe1765e4f4]
[bt] (6)
/home/ubuntu/.local/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x3895c84)
[0x7efe1757dc84]
[bt] (7)
/home/ubuntu/.local/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x38a3c31)
[0x7efe1758bc31]
[bt] (8)
/home/ubuntu/.local/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x38a6fa4)
[0x7efe1758efa4]
```
The root cause should be missing proper zero-dim ndarray handle on the
kernel.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
