josephevans opened a new issue #20827:
URL: https://github.com/apache/incubator-mxnet/issues/20827
## Description
The following tests seem to be failing consistently in the v1.x branch:
* test_autograd.test_retain_grad
* ```terminate called after throwing an instance of 'dmlc::Error' what():
[04:06:05] src/imperative/imperative.cc:295: Check failed: !AGInfo::IsNone(*i):
Cannot differentiate node because it is not in a computational graph. You need
to set is_recording to true or use autograd.record() to save computational
graphs for backward. If you want to differentiate the same graph twice, you
need to pass retain_graph=True to backward.```
* test_gluon_gpu.test_sync_batchnorm
* ```terminate called after throwing an instance of 'dmlc::Error' what():
[04:27:24] src/engine/threaded_engine.cc:333: Check failed: exec_ctx.dev_id <
device_count_ (1 vs. 1) : Invalid GPU Id: 1, Valid device id should be less
than device_count: 1```
* test_contrib_amp.test_amp_conversion_rnn
* ```terminate called after throwing an instance of 'dmlc::Error' what():
[04:25:16] src/operator/./rnn-inl.h:508: RNN on GPU is only available for cuDNN
at the moment.```
## Occurrences
* test_retain_grad:
*
https://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-20809/8/pipeline/295
*
https://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-20809/8/pipeline/294
* test_contrib_amp.test_amp_conversion_rnn
*
https://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-gpu/detail/PR-20809/10/pipeline/355
* test_gluon_gpu.test_sync_batchnorm
*
https://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-gpu/detail/PR-20809/10/pipeline/354
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