TensorHandlePtr ParallelTensorToTensorHandle(
    const std::string& parallel_device_name, TFE_Context* context,
    std::unique_ptr<ParallelTensor> t, TF_Status* status) {
  // The resulting TensorHandle owns an opaque pointer to "device memory", which
  // for a ParallelDevice is really a ParallelTensor. When the TensorHandle is
  // deleted, it will call ParallelTensorDeallocator to free the struct.
  ParallelTensor* t_released = t.release();

        this.runnable = runnable;
        this.executor = executor;
        this.next = next;
      }
    }
  }

  // A version of the ExecutionList that uses an explicit tail pointer to keep the nodes in order
  // rather than flipping the stack in execute().
  private static final class NewExecutionListQueue {
    static final Logger log = Logger.getLogger(NewExecutionListQueue.class.getName());

	stateless          bool
	acked              bool
	init               bool
	deadline           time.Duration
	outBlock           chan struct{}
	subroute           *subHandlerID
	respErr            atomic.Pointer[error]
	clientPingInterval time.Duration
}

// Response is a response from the server.
type Response struct {
	Msg []byte
	Err error
}

  private ExecutionSequencer() {}

  /** Creates a new instance. */
  public static ExecutionSequencer create() {
    return new ExecutionSequencer();
  }

  /** This reference acts as a pointer tracking the head of a linked list of ListenableFutures. */
  private final AtomicReference<ListenableFuture<@Nullable Void>> ref =
      new AtomicReference<>(immediateVoidFuture());

						delete this._values;
						delete this._goRefCounts;
						delete this._ids;
						delete this._idPool;
						this.exit(code);
					},

					// func wasmWrite(fd uintptr, p unsafe.Pointer, n int32)
					"runtime.wasmWrite": (sp) => {
						sp >>>= 0;
						const fd = getInt64(sp + 8);
						const p = getInt64(sp + 16);
						const n = this.mem.getInt32(sp + 24, true);

					// in the source by an explicit semicolon.)
					f.Edit.Replace(f.offset(s.Path.Pos()), f.offset(s.Path.End()), `_ "unsafe"`)
				}
			}
		}
	}

	// Accumulate pointers to uses of C.x.
	if f.Ref == nil {
		f.Ref = make([]*Ref, 0, 8)
	}
	f.walk(ast2, ctxProg, (*File).validateIdents)
	f.walk(ast2, ctxProg, (*File).saveExprs)

	// Accumulate exported functions.

#include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h"
#include "tensorflow/core/platform/errors.h"

namespace tensorflow {
namespace gradients {
namespace {

// TODO(b/172558015): Using the pointer address as the identifier for the tensor
// may lead to collisions. Introduce another way to get a unique id for this
// tensor.
int64_t ToId(const AbstractTensorHandle* t) {

	h.workers.Add(1)
	defer h.workers.Add(-1)

	h.wg.Add(1)
	defer h.wg.Done()

	entries := make([]interface{}, 0)
	name := h.Name()

	defer func() {
		// re-load the global buffer pointer
		// in case it was modified by a new target.
		logChLock.Lock()
		currentGlobalBuffer, ok := logChBuffers[name]
		logChLock.Unlock()
		if !ok {
			return
		}

		for _, v := range entries {

   * double the index of the entry in entrySet.asList.)
   *
   * The basic data structure is described in https://en.wikipedia.org/wiki/Open_addressing.
   * The pointer to a key is stored in hashTable[Hashing.smear(key.hashCode()) % table.length],
   * save that if that location is already full, we try the next index, and the next, until we

	NEG	X5					// b3025040
	NEG	X5, X6					// 33035040
	NEGW	X5					// bb025040
	NEGW	X5, X6					// 3b035040

	// This jumps to the second instruction in the function (the
	// first instruction is an invisible stack pointer adjustment).
	JMP	start					// JMP	2

	JMP	2(PC)					// 6f008000
	JMP	(X5)					// 67800200
	JMP	4(X5)					// 67804200

	// CALL and JMP to symbol are encoded as JAL (using LR or ZERO