Upgrade grpcio version to v1.64.1

[Electronic-Waste]

What this PR does / why we need it:

After #2344 got merged, our python grpc client is generated by buf.build/grpc/python:v1.64.1. However, our Python SDK still uses grpcio>=1.41.1, resulting in some errors like #2427.

This is due to the update of grpcio packge (the corresponding PR is grpc/grpc#36371). In v1.64.0, grpcio introduced a parameter __register_method to unary_unary, which would be called by grpc client in:

katib/pkg/apis/manager/v1beta1/python/api_pb2_grpc.py

Lines 19 to 23 in eb8af4d

	self.ReportObservationLog = channel.unary_unary(
	'/api.v1.beta1.DBManager/ReportObservationLog',
	request_serializer=api__pb2.ReportObservationLogRequest.SerializeToString,
	response_deserializer=api__pb2.ReportObservationLogReply.FromString,
	_registered_method=True)

And in tensorflow/tensorflow:2.13.0, the grpcio version is v1.56.0 while in tensorflow/tensorflow:2.17.0 the version is v1.64.1. So the error occurred in tensorflow/tensorflow:2.13.0, but not in tensorflow/tensorflow:2.17.0.

Given the fact that grpcio version is outdated, I upgrade the grpcio version to v1.64.1

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 #2427

Checklist:

• Docs included if any changes are user facing

/cc @kubeflow/wg-automl-leads @helenxie-bit @tariq-hasan

[tenzen-y]

/rerun-all

[tenzen-y]

/rerun-all

[Electronic-Waste]

/rerun-all

[Electronic-Waste]

@tenzen-y @andreyvelich The CI has succeeded. PTAL if you have time👀.

[tenzen-y]

Thank you
/lgtm
/approve

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