Check doxygen output in travis #11124
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petrex
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resolve conflict in data parallel model * master: (201 commits) Add cost inference to ConvGradient and WeightedSum operators (pytorch#10744) Move collapse dims into a single place (pytorch#11272) Fix some more warnings (pytorch#11257) Fix the batchnorm onnx exporting when affine=False Improve error message to include return types too (pytorch#11245) Check doxygen output in travis (pytorch#11124) Accept more numpy scalars as doubles (pytorch#9659) Fixed log message (pytorch#10874) Fix to distribution.__repr__ with lazy attributes (pytorch#11263) Add import export step to end to end tests Add complex hooks for out of tree complex implementation. (pytorch#11216) Unify opt flag for cmake codegen (pytorch#11227) nomnigraph - fix memory error in NN subgraph matchOp (pytorch#11127) Port PackedSequences functions to C++ (pytorch#11224) Treat numerical differences as warnings instead of errors when tracing (pytorch#11246) add a Float16UniformFill (pytorch#11123) Implement torch.tensordot (pytorch#10025) keep net type info when generating model complete net (pytorch#11032) Get rid of some uses of type() (pytorch#11215) Reorganize methods in Type, add CPUTypeDefault/CUDATypeDefault (pytorch#11205) ...
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Summary: This PR adds a .travis.yml check for our C++ documentation. The goal is to avoid any documentation/comments in our C++ code that would break the doxygen output and possibly ruin the C++ documentation site (currently https://pytorch.org/cppdocs). For this, we: 1. Run doxygen and record any warnings, 2. Filter out some known bogus warnings, 3. Count the remaining warnings, 4. Fail the check if (3) is non-zero. soumith Pull Request resolved: pytorch#11124 Differential Revision: D9651011 Pulled By: goldsborough fbshipit-source-id: 30f776d23bb6d6c482c54db32828b4b99547e87b
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This PR adds a .travis.yml check for our C++ documentation. The goal is to avoid any documentation/comments in our C++ code that would break the doxygen output and possibly ruin the C++ documentation site (currently https://pytorch.org/cppdocs).
For this, we:
@soumith