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CONTRIBUTING.md
[following API review practices](https://github.com/tensorflow/community/blob/master/governance/api-reviews.md). * When you contribute a new feature to TensorFlow, the maintenance burden is (by default) transferred to the TensorFlow team. This means that the benefit of the contribution must be compared against the cost of maintaining the feature.
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tensorflow/c/eager/tape.h
// from a backward gradient function. Fills `out_grads` corresponding to // `output_tensors`. `out_grads` must not be null. // // Executes the backward function in order to trace its gradient, which will // waste computation if executing eagerly (when graph building the unneeded // computation is pruned). Temporarily sets `backward_tape` so that
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