Support multi CPU architectures (amd64 and arm64) in all container images with one image tag

[tenzen-y]

/kind feature

Describe the solution you'd like
[A clear and concise description of what you want to happen.]
As discussed In this, we need to make all container images compatible with multi-CPU architectures (amd64 and arm64) with a single image tag.

ref: https://docs.docker.com/desktop/multi-arch/

By supporting multi-architecture, we will be available katib easily on platforms using the arm64 architecture such as the NVIDIA DGX Server with Grace CPU.

List of images with completed ARM64 support

• katib-controller
• katib-db-manager
• katib-ui
• cert-generator
• file-metrics-collector
• tfevent-metrics-collector
• suggestion-hyperopt
• suggestion-chocolate
• suggestion-hyperband
• suggestion-skopt
• suggestion-goptuna
• suggestion-optuna
• suggestion-enas
• suggestion-darts
• suggestion-pbt
• earlystopping-medianstop
• mxnet-mnist (Support for arm64 in mxnet-mnist image #1940)
• pytorch-mnist-cpu (Support for arm64 in pytorch-mnist image #1943)
• pytorch-mnist-gpu (Support for arm64 in pytorch-mnist image #1943)
• enas-cnn-cifar10-cpu
• enas-cnn-cifar10-gpu (Support for arm64 in enas-cnn-cifar10 image #1944 )
• darts-cnn-cifar10-cpu (Support arm64 in darts-cnn-cifar10 image #1947)
• darts-cnn-cifar10-gpu (Support arm64 in darts-cnn-cifar10 image #1947)
• simple-pbt (Support for arm64 in simple-pbt image #1948)
• tf-mnist-with-summaries

Anything else you would like to add:
[Miscellaneous information that will assist in solving the issue.]

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[gaocegege]

The change is subtle and the benefit is huge!

[tenzen-y]

I take this issue.
/assign

[tenzen-y]

I have completed support for arm64 in all container images.
Next, I will build a CI to verify that the multi-platform image can be built in each PR.