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Fix kubeflowkatib/mxnet-mnist image #1866
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When I use Downloading data/train-labels-idx1-ubyte.gz from https://repo.mxnet.io/gluon/dataset/mnist/train-labels-idx1-ubyte.gz...
Downloading data/train-images-idx3-ubyte.gz from https://repo.mxnet.io/gluon/dataset/mnist/train-images-idx3-ubyte.gz...
Downloading data/t10k-labels-idx1-ubyte.gz from https://repo.mxnet.io/gluon/dataset/mnist/t10k-labels-idx1-ubyte.gz...
Downloading data/t10k-images-idx3-ubyte.gz from https://repo.mxnet.io/gluon/dataset/mnist/t10k-images-idx3-ubyte.gz...
[17:14:13] ../src/storage/storage.cc:202: Using Pooled (Naive) StorageManager for CPU
Traceback (most recent call last):
File "/opt/mxnet-mnist/mnist.py", line 86, in <module>
fit.fit(args, sym, get_mnist_iter)
File "/opt/mxnet-mnist/common/fit.py", line 228, in fit
model = mx.mod.Module(
AttributeError: module 'mxnet' has no attribute 'mod' |
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It seems to fail to deploy katib in
Could you help to resolve this problem? @DomFleischmann @knkski @ca-scribner |
gaocegege
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/lgtm
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I don't recognise this error, but I'll get someone to take a look. Should be a quick fix and likely is related to some tooling and not actually broken by this PR. |
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Waiting on CI to confirm but this should be fixed by #1867. |
Thank you for letting me know @ca-scribner. |
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Please rebase ! |
@johnugeorge I have rebased this branch. |
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Thanks @tenzen-y /lgtm |
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: johnugeorge, tenzen-y The full list of commands accepted by this bot can be found here. The pull request process is described here DetailsNeeds approval from an approver in each of these files:
Approvers can indicate their approval by writing |
What this PR does / why we need it:
It seems that
mxnet/python:latest_cpu_native_py3image has been deleted from upstream dockerhub.As a result, our suite test can no longer be run as shown below, so I changed the base image from
mxnet/python:latest_cpu_native_py3topython:3.9.Argo Workflow Logs
Also, I have used
ytenzen/katib-mxnet-mnist:fix-mxnet-imageto check the operation of the new image.Which issue(s) this PR fixes (optional, in
fixes #<issue number>(, fixes #<issue_number>, ...)format, will close the issue(s) when PR gets merged):Fixes #
Checklist: