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  1. tensorflow/c/eager/tape.h

    // gradients available initially).
    //
    // Then we repeatedly pop an entry from the stack, run its backprop, and update
    // the gradients of its inputs. Once we have computed all gradients for a single
    // input we can mark this input as done, and this can trigger adding an entry to
    // the stack if all outputs of that entry are now done.
    //
    // When the stack is empty we have gradients for all tensors we're interested
    // in.
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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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