ExportOutputs. For instance, a classifier may provide regression- and
    prediction-flavored outputs, in addition to the classification-flavored one.
    Building signatures from these allows TF Serving to honor requests using the
    different APIs (Classify, Regress, and Predict). Furthermore,
    `serving_input_receiver_fn()` may now specify alternative subsets of nodes

x[i] ^ y[i] for all i < n = min(len(x), len(y)), // returning n, the number of bytes written to dst. // // If dst does not have length at least n, // XORBytes panics without writing anything to dst. // // dst and x or y may overlap exactly or not at all, // otherwise XORBytes may panic. func XORBytes(dst, x, y []byte) int { n := min(len(x), len(y)) if n == 0 { return 0 } if n > len(dst) { panic("subtle.XORBytes: dst too short") } if alias.InexactOverlap(dst[:n], x[:n]) || alias.InexactOverlap(dst[:n],...

x[i] ^ y[i] for all i < n = min(len(x), len(y)), // returning n, the number of bytes written to dst. // // If dst does not have length at least n, // XORBytes panics without writing anything to dst. // // dst and x or y may overlap exactly or not at all, // otherwise XORBytes may panic. func XORBytes(dst, x, y []byte) int { n := min(len(x), len(y)) if n == 0 { return 0 } if n > len(dst) { panic("subtle.XORBytes: dst too short") } if alias.InexactOverlap(dst[:n], x[:n]) || alias.InexactOverlap(dst[:n],...