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tensorflow/c/eager/tape.h
// The entry, "FusedBatchNorm": [1, 2, 3, 4], indicates that only the gradient // corresponding to index 0 is used, and the gradient values at indices 1-4 are // ignored (and hence can be None). The backprop algorithm can then leverage // this by not constructing zeros to pass for those indices. std::unordered_map<string, std::unordered_set<int>>* FunctionsAcceptingNoneForIndicesMap() { static auto* const m =
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