fhieber opened a new issue #20417:
URL: https://github.com/apache/incubator-mxnet/issues/20417
## Description
An error is thrown when trying to print an mx.np.array of type int32.
Unfortunately the error is difficult to reproduce.
### Error Message
```
File "/Users/fhieber/workspace/sockeye/sockeye/beam_search.py", line 886, in
forward
print('2', finished)
File "/Users/fhieber/workspace/mxnet/python/mxnet/numpy/multiarray.py",
line 1379, in __str__
array_str = self.asnumpy().__str__()
File "/Users/fhieber/workspace/mxnet/python/mxnet/ndarray/ndarray.py",
line 2626, in asnumpy
ctypes.c_size_t(data.size)))
File "/Users/fhieber/workspace/mxnet/python/mxnet/base.py", line 246, in
check_call
raise get_last_ffi_error()
mxnet.base.MXNetError: Traceback (most recent call last):
File "/Users/fhieber/workspace/mxnet/src/operator/tensor/indexing_op.cc",
line 313
MXNetError: Check failed: is_valid: take operator contains indices out of
bound
```
## To Reproduce
Unfortunately I am not able to reproduce this with a minimal example. The
array from the error message above is produced in a hybridized block before
like this and returned as an output of that block:
```
finished = np.logical_or(best_word_indices == self.pad_id, best_word_indices
== self.eos_id)
finished = npx.cast(np.expand_dims(finished, axis=1), 'int32')
```
The print statement in the stack trace above was added in the block code
that executes the hybrid block.
The error does not occur when the code above is not hybridized.
### Steps to reproduce
### Environment:
- macos
- mxnet compiled from source from #20375
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