\n\nSo what happens? Decode first uses json or yaml to unmarshal the serialized data into your external MyAPIObject. That causes the raw JSON to be stored, but not unpacked. The next step is to copy (using pkg/conversion) into the internal struct. The runtime package's DefaultScheme has conversion functions installed which will unpack the JSON stored in RawExtension, turning it into the correct object type, and storing it in the Object. (TODO: In the case where the object is of an unknown type, a...

\n\nSo what happens? Decode first uses json or yaml to unmarshal the serialized data into your external MyAPIObject. That causes the raw JSON to be stored, but not unpacked. The next step is to copy (using pkg/conversion) into the internal struct. The runtime package's DefaultScheme has conversion functions installed which will unpack the JSON stored in RawExtension, turning it into the correct object type, and storing it in the Object. (TODO: In the case where the object is of an unknown type, a...

\n\nSo what happens? Decode first uses json or yaml to unmarshal the serialized data into your external MyAPIObject. That causes the raw JSON to be stored, but not unpacked. The next step is to copy (using pkg/conversion) into the internal struct. The runtime package's DefaultScheme has conversion functions installed which will unpack the JSON stored in RawExtension, turning it into the correct object type, and storing it in the Object. (TODO: In the case where the object is of an unknown type, a...

\n\nSo what happens? Decode first uses json or yaml to unmarshal the serialized data into your external MyAPIObject. That causes the raw JSON to be stored, but not unpacked. The next step is to copy (using pkg/conversion) into the internal struct. The runtime package's DefaultScheme has conversion functions installed which will unpack the JSON stored in RawExtension, turning it into the correct object type, and storing it in the Object. (TODO: In the case where the object is of an unknown type, a...

//===----------------------------------------------------------------------===//

// Remove redundant unpack pack op.
// If a unpack op is followed by a pack op, we can remove the pack op, if the
// unpack op is only consumed by the pack op, it will be removed as well.
// An example illustration is:
//                  Unpack [5, 8, 9], axis = 1
//                /       \
//            value  ...  value [5, 9], 8 values in total

     * adding {@code entry} to relevant eviction lists.
     *
     * <p>Note: this method should only be called under lock, as it directly manipulates the
     * eviction queues. Unlocked reads should use {@link #recordRead}.
     */
    @GuardedBy("this")
    void recordLockedRead(ReferenceEntry<K, V> entry, long now) {
      if (map.recordsAccess()) {
        entry.setAccessTime(now);

     * adding {@code entry} to relevant eviction lists.
     *
     * <p>Note: this method should only be called under lock, as it directly manipulates the
     * eviction queues. Unlocked reads should use {@link #recordRead}.
     */
    @GuardedBy("this")
    void recordLockedRead(ReferenceEntry<K, V> entry, long now) {
      if (map.recordsAccess()) {
        entry.setAccessTime(now);

    return success();
  }
};

// Fuses Unpack with proceeding Concatenation to Reshape if output type has
// static shape and activation function is none. For example:
//
//   // %input: tensor<1x3x2xf32>
//   %unpack:3 = "tfl.unpack"(%input) {axis = 1 : i32, num = 3 : i32}
//   %res = "tfl.concatenation"(%unpack#0, %unpack#1, %unpack#2)
//        {axis = -1 : i32, fused_activation_function = "NONE"}
//

//
// A worker thread is considered spinning if it is out of local work and did
// not find work in the global run queue or netpoller; the spinning state is
// denoted in m.spinning and in sched.nmspinning. Threads unparked this way are
// also considered spinning; we don't do goroutine handoff so such threads are
// out of work initially. Spinning threads spin on looking for work in per-P

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