[CI]Add yatai server integration tests to Github CI

[yubozhao]

Description

Add yatai server test from local e2e to Github CI.

• sqlite-local-fs
• postgres-local-fs
• postgres-s3
• postgres-gcs

Motivation and Context

How Has This Been Tested?

Types of changes

• Breaking change (fix or feature that would cause existing functionality to change)
• New feature and improvements (non-breaking change which adds/improves functionality)
• Bug fix (non-breaking change which fixes an issue)
• Code Refactoring (internal change which is not user facing)
• Documentation
• Test, CI, or build

Component(s) if applicable

• BentoService (service definition, dependency management, API input/output adapters)
• Model Artifact (model serialization, multi-framework support)
• Model Server (mico-batching, dockerisation, logging, OpenAPI, instruments)
• YataiService gRPC server (model registry, cloud deployment automation)
• YataiService web server (nodejs HTTP server and web UI)
• Internal (BentoML's own configuration, logging, utility, exception handling)
• BentoML CLI

Checklist:

• My code follows the bentoml code style, both ./dev/format.sh and
  ./dev/lint.sh script have passed
  (instructions).
• My change reduces project test coverage and requires unit tests to be added
• I have added unit tests covering my code change
• My change requires a change to the documentation
• I have updated the documentation accordingly

[codecov]

Codecov Report

Merging #1265 (565beea) into master (5a1b25d) will increase coverage by 0.14%.
The diff coverage is n/a.

@@            Coverage Diff             @@
##           master    #1265      +/-   ##
==========================================
+ Coverage   66.09%   66.23%   +0.14%     
==========================================
  Files         141      142       +1     
  Lines        9173     9283     +110     
==========================================
+ Hits         6063     6149      +86     
- Misses       3110     3134      +24     

Impacted Files	Coverage Δ
bentoml/utils/tensorflow.py	75.89% <0.00%> (ø)
bentoml/frameworks/tensorflow.py	82.85% <0.00%> (+2.48%)	⬆️

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