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TaoLv commented on issue #18255:
URL:
https://github.com/apache/incubator-mxnet/issues/18255#issuecomment-626605153
In my environment, the problem can be mitigated by pre loading the
libraries. I'm trying to see if we can fix it on build or link stage.
```
(mxnet)
david9ml opened a new issue #18278:
URL: https://github.com/apache/incubator-mxnet/issues/18278
## Description
I tried to convert gluon model(ssd_512_resnet50_v1_custom) to onnx, but
failed !
### Error Message
Traceback (most recent call last):
File "ssd_gluon.py", line
kpuatamazon commented on issue #17980:
URL:
https://github.com/apache/incubator-mxnet/issues/17980#issuecomment-626563301
@ChaiBapchya to be clear, here's how I am building the second option:
```bash
export CXXFLAGS="${CXXFLAGS} -DUSE_MKL -I/opt/intel/mkl/include"
unset LD_PRELOAD
Tommliu edited a comment on issue #18254:
URL:
https://github.com/apache/incubator-mxnet/issues/18254#issuecomment-626506371
I think we don't support the array_like input for np.random.uniform. It is
different from the official numpy. From the docs (mx.np.random.uniform).
>
Tommliu edited a comment on issue #18254:
URL:
https://github.com/apache/incubator-mxnet/issues/18254#issuecomment-626506371
I think we don't support the array_like input for np.random.uniform. It is
different from the official numpy. From the docs (mx.np.random.uniform)
>
mxnet-bot commented on pull request #18263:
URL: https://github.com/apache/incubator-mxnet/pull/18263#issuecomment-626548853
Jenkins CI successfully triggered : [windows-gpu]
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CassiniXu commented on pull request #18263:
URL: https://github.com/apache/incubator-mxnet/pull/18263#issuecomment-626548804
@mxnet-bot run ci [windows-gpu]
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To
Tommliu opened a new pull request #18277:
URL: https://github.com/apache/incubator-mxnet/pull/18277
## Description ##
attempt to fix the issues mentioned in
- #18213 (bool support for operator concatenate)
- #16653 (dtype error for binary scalar operators) related to #16964
mxnet-bot commented on pull request #18277:
URL: https://github.com/apache/incubator-mxnet/pull/18277#issuecomment-626545734
Hey @Tommliu , Thanks for submitting the PR
All tests are already queued to run once. If tests fail, you can trigger one
or more tests again with the following
Tommliu edited a comment on issue #18254:
URL:
https://github.com/apache/incubator-mxnet/issues/18254#issuecomment-626506371
In deepnumpy, we don't support the array_like input for np.random.uniform.
It is different from the official numpy. You can refer from the docs
Tommliu commented on issue #18254:
URL:
https://github.com/apache/incubator-mxnet/issues/18254#issuecomment-626506371
In deepnumpy, we don't support the array_like input for np.random.uniform.
It is different from the official numpy. You can refer from the docs
(mx.np.random.uniform)
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ZheyuYe commented on pull request #18272:
URL: https://github.com/apache/incubator-mxnet/pull/18272#issuecomment-626489221
Currently this op and `nd.sample_multinomial` only accepting noralized
probability as input, could we make it compatible with the log-odds like
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