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Pin the NumPy version with v1.23.5 in some images #2070
Pin the NumPy version with v1.23.5 in some images #2070
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: tenzen-y The full list of commands accepted by this bot can be found here. The pull request process is described here
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Thanks @tenzen-y for quick fix. /lgtm |
We need to provide a clean fix in future when available |
Yes, I agree. We might be able to use the latest NumPy version once mxnet v2.0 or v1.9.2 is released. |
Since the errors are caused by mxnet codes, not by our training codes. |
Thank you for the prompt fix @tenzen-y ! |
It seems that E2E for bayesian-optimazation only failed...
https://github.com/kubeflow/katib/actions/runs/3767418520/jobs/6404930467#step:4:12390 I could not reproduce it on my local :( |
It looks like CI failure is caused by the skopt suggestion service image.
https://github.com/tenzen-y/katib/actions/runs/3768079424/jobs/6406216537#step:4:10644 |
ERROR:grpc._server:Exception calling application: module 'numpy' has no attribute 'int'
Traceback (most recent call last):
File "/usr/local/lib/python3.9/site-packages/grpc/_server.py", line 443, in _call_behavior
response_or_iterator = behavior(argument, context)
File "/opt/katib/pkg/suggestion/v1beta1/skopt/service.py", line 55, in GetSuggestions
new_trials = self.base_service.getSuggestions(trials, request.current_request_number)
File "/opt/katib/pkg/suggestion/v1beta1/skopt/base_service.py", line 121, in getSuggestions
skopt_suggested = self.skopt_optimizer.ask(n_points=current_request_number)
File "/usr/local/lib/python3.9/site-packages/skopt/optimizer/optimizer.py", line 395, in ask
x = opt.ask()
File "/usr/local/lib/python3.9/site-packages/skopt/optimizer/optimizer.py", line 367, in ask
return self._ask()
File "/usr/local/lib/python3.9/site-packages/skopt/optimizer/optimizer.py", line 434, in _ask
return self.space.rvs(random_state=self.rng)[0]
File "/usr/local/lib/python3.9/site-packages/skopt/space/space.py", line 900, in rvs
columns.append(dim.rvs(n_samples=n_samples, random_state=rng))
File "/usr/local/lib/python3.9/site-packages/skopt/space/space.py", line 158, in rvs
return self.inverse_transform(samples)
File "/usr/local/lib/python3.9/site-packages/skopt/space/space.py", line 528, in inverse_transform
inv_transform = super(Integer, self).inverse_transform(Xt)
File "/usr/local/lib/python3.9/site-packages/skopt/space/space.py", line 168, in inverse_transform
return self.transformer.inverse_transform(Xt)
File "/usr/local/lib/python3.9/site-packages/skopt/space/transformers.py", line 309, in inverse_transform
X = transformer.inverse_transform(X)
File "/usr/local/lib/python3.9/site-packages/skopt/space/transformers.py", line 275, in inverse_transform
return np.round(X_orig).astype(np.int)
File "/usr/local/lib/python3.9/site-packages/numpy/__init__.py", line 284, in __getattr__
raise AttributeError("module {!r} has no attribute "
AttributeError: module 'numpy' has no attribute 'int' |
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This skopt error is reported upstream, but the PR has not been merged... |
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…uggestion service image Signed-off-by: Yuki Iwai <[email protected]>
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/lgtm |
Signed-off-by: Yuki Iwai [email protected]
What this PR does / why we need it:
I pinned the NumPy version with v1.23.5 in the mxnet-mnist image and the skopt suggestion image to avoid the following errors:
/assign @andreyvelich @johnugeorge @gaocegege
Blocking: #2039 #2060 #2067
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: