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ci/official/containers/linux_arm64/devel.usertools/squash_testlogs.py
["grep", "-rlE", '(failures|errors)="[1-9]', sys.argv[1]] ) except subprocess.CalledProcessError as e: print("No failures found to log!") exit(0) # For test cases, only show the ones that failed that have text (a log) seen = collections.Counter() runfiles_matcher = re.compile(r"(/.*\.runfiles/)") for f in files.strip().splitlines(): # Just ignore any failures, they're probably not important
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SECURITY.md
`ModelServer` collates all computation graphs exposed to it (from multiple `SavedModel`) and executes them in parallel on available executors. Running TensorFlow in a multitenant design mixes the risks described above with the inherent ones from multitenant configurations. The primary areas of concern are tenant isolation, resource allocation, model sharing and hardware attacks. ### Tenant isolation
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