| Commit message (Collapse) | Author | Age | |
|---|---|---|---|
| * | Automatically build SWIG from source |  Justine Tunney | 2016-10-20 |
| This change allows Bazel to fetch and build SWIG rather than getting it from the system. This change also improves the i/o performance of the SWIG build, makes it hermetically sealed, and ensures tf_py_wrap_cc() can function correctly across Bazel repositories. CC: #4983 Change: 136783531 | |||
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index : tensorflow | |
| machine learning framework |
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