mxnet MXNet does not support NumPy 1.24

MXNet does not support NumPy 1.24

Open rkazants opened this issue 1 year ago • 4 comments

Description

MXNet does not support NumPy 1.24

Error Message

Conversion of MXNet models by using OpenVINO Model Optimizer will raise this issue

python3.8/site-packages/mxnet/numpy/utils.py:37: FutureWarning: In the future np.bool will be defined as the corresponding NumPy scalar. (This may have returned Python scalars in past versions. bool = onp.bool [ ERROR ] ------------------------------------------------- [ ERROR ] ----------------- INTERNAL ERROR ---------------- [ ERROR ] Unexpected exception happened. [ ERROR ] Please contact Model Optimizer developers and forward the following information: [ ERROR ] module 'numpy' has no attribute 'bool' [ ERROR ] Traceback (most recent call last): File "openvino/tools/mo/openvino/tools/mo/main.py", line 50, in main ngraph_function = convert_model(**argv) File "openvino/tools/mo/openvino/tools/mo/convert.py", line 47, in convert_model return _convert(**args) File "openvino/tools/mo/openvino/tools/mo/convert_impl.py", line 932, in _convert raise e.with_traceback(None) AttributeError: module 'numpy' has no attribute 'bool' [ ERROR ] ---------------- END OF BUG REPORT -------------- [ ERROR ] -------------------------------------------------

(Paste the complete error message. Please also include stack trace by setting environment variable DMLC_LOG_STACK_TRACE_DEPTH=100 before running your script.)

To Reproduce

install numpy 1.24 install mxnet 1.9.1

Steps to reproduce

What have you tried to solve it?

installation of numpy 1.23 should solve this problem

Environment

install numpy 1.24 install mxnet 1.9.1

Jan 06 '23 10:01 rkazants

Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI, and we are glad that you are contributing to it by opening this issue. Please make sure to include all the relevant context, and one of the @apache/mxnet-committers will be here shortly. If you are interested in contributing to our project, let us know! Also, be sure to check out our guide on contributing to MXNet and our development guides wiki.