tensorflow / serving
Temporal Dependencies

A temporal dependency occurs when developers change two or more files at the same time (i.e. they are a part of the same commit).

Files Most Frequently Changed Together (Top 1)
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Pairs # same commits # commits 1 # commits 2 latest commit
tensorflow_serving/core/loader_harness.h
tensorflow_serving/core/loader_harness.cc
1 26 (3%) 23 (4%) 2022-01-04
Dependencies between files in same commits
The number on the lines shows the number of shared commits.
G [tensorflow_serving/core/loader_harness.h] [tensorflow_serving/core/loader_harness.h] [tensorflow_serving/core/loader_harness.cc] [tensorflow_serving/core/loader_harness.cc] [tensorflow_serving/core/loader_harness.h]--[tensorflow_serving/core/loader_harness.cc] 1

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