leezu commented on issue #19255:
URL:
https://github.com/apache/incubator-mxnet/issues/19255#issuecomment-707285710
The implementation is based on the with_seed function, thus things work
alike. In particular, what you describe works. Please see:
```
% python3 -m pytest
../tests/python/unittest/test_deferred_compute.py::test_indexing_empty_shape
--count 3 --log-cli-level=DEBUG
=================================================================================
test session starts
=================================================================================
platform linux -- Python 3.8.5, pytest-6.0.2, py-1.9.0, pluggy-0.13.1
rootdir: /home/ubuntu/src/mxnet-master, configfile: pytest.ini
plugins: timeout-1.4.2, repeat-0.8.0, env-0.6.2
timeout: 1200.0s
timeout method: signal
timeout func_only: False
collected 3 items
../tests/python/unittest/test_deferred_compute.py::test_indexing_empty_shape[1-3]
-----------------------------------------------------------------------------------
live log setup
------------------------------------------------------------------------------------
DEBUG root:conftest.py:213 Setting np/mx/python random seeds to
1513391544. Use MXNET_TEST_SEED=1513391544 to reproduce.
------------------------------------------------------------------------------------
live log call
------------------------------------------------------------------------------------
INFO root:util.py:85 NumPy-shape semantics has been activated in your
code. This is required for creating and manipulating scalar and zero-size
tensors, which were not supported in MXNet before, as in the official NumPy
library. Please DO NOT manually deactivate this semantics while using
`mxnet.numpy` and `mxnet.numpy_extension` modules.
INFO root:util.py:755 NumPy array semantics has been activated in your
code. This allows you to use operators from MXNet NumPy and NumPy Extension
modules as well as MXNet NumPy `ndarray`s.
PASSED
[ 33%]
../tests/python/unittest/test_deferred_compute.py::test_indexing_empty_shape[2-3]
-----------------------------------------------------------------------------------
live log setup
------------------------------------------------------------------------------------
DEBUG root:conftest.py:213 Setting np/mx/python random seeds to
662599169. Use MXNET_TEST_SEED=662599169 to reproduce.
PASSED
[ 66%]
../tests/python/unittest/test_deferred_compute.py::test_indexing_empty_shape[3-3]
-----------------------------------------------------------------------------------
live log setup
------------------------------------------------------------------------------------
DEBUG root:conftest.py:213 Setting np/mx/python random seeds to
1899500804. Use MXNET_TEST_SEED=1899500804 to reproduce.
PASSED
[100%]
==================================================================================
3 passed in 0.15s
==================================================================================
```
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