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  1. tensorflow/c/eager/tape.h

    // any gradients to be computed).
    //
    // Finally, we start a backprop stack with a set of tape entries for which we
    // have all gradients available. This set usually is a subset of the set of
    // targets (not all since targets which have outputs in the tape will not have
    // gradients available initially).
    //
    // Then we repeatedly pop an entry from the stack, run its backprop, and update
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    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Apr 02 12:40:29 GMT 2024
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