float* values =
      reinterpret_cast<float*>(tensorflow::cpu_allocator()->AllocateRaw(
          TF_TensorDefaultAlignment(), num_bytes));
  int64_t dims[] = {2, 3};
  bool deallocator_called = false;
  TF_Tensor* t = TF_NewTensor(TF_FLOAT, dims, 2, values, num_bytes,
                              &Deallocator, &deallocator_called);

  TF_Tensor* o = TF_TensorMaybeMove(t);

- Migrated `pkg/controller/nodeipam/ipam/cloud_cidr_allocator.go, pkg/controller/nodeipam/ipam/multi_cidr_range_allocator.go pkg/controller/nodeipam/ipam/range_allocator.go pkg/controller/nodelifecycle/node_lifecycle_controller.go` to structured logging ([#112670](https://github.com/kubernetes/kubernetes/pull/112670), [@yangjunmyfm192085](https://github.com/yangjunmyfm192085))...

   ([#123508](https://github.com/kubernetes/kubernetes/pull/123508), [@saschagrunert](https://github.com/saschagrunert))
- Dynamic Resource Allocation: DRA drivers can now use "structured parameters" to let the scheduler handle claim allocation.
   ([#123516](https://github.com/kubernetes/kubernetes/pull/123516), [@pohly](https://github.com/pohly))

          .put(Buffer.class, ByteBuffer.allocate(0))
          .put(CharBuffer.class, CharBuffer.allocate(0))
          .put(ByteBuffer.class, ByteBuffer.allocate(0))
          .put(ShortBuffer.class, ShortBuffer.allocate(0))
          .put(IntBuffer.class, IntBuffer.allocate(0))
          .put(LongBuffer.class, LongBuffer.allocate(0))
          .put(FloatBuffer.class, FloatBuffer.allocate(0))

          .put(Buffer.class, ByteBuffer.allocate(0))
          .put(CharBuffer.class, CharBuffer.allocate(0))
          .put(ByteBuffer.class, ByteBuffer.allocate(0))
          .put(ShortBuffer.class, ShortBuffer.allocate(0))
          .put(IntBuffer.class, IntBuffer.allocate(0))
          .put(LongBuffer.class, LongBuffer.allocate(0))
          .put(FloatBuffer.class, FloatBuffer.allocate(0))

    return CharBuffer.allocate(generateInt());
  }

  @Generates
  ByteBuffer generateByteBuffer() {
    return ByteBuffer.allocate(generateInt());
  }

  @Generates
  ShortBuffer generateShortBuffer() {
    return ShortBuffer.allocate(generateInt());
  }

  @Generates
  IntBuffer generateIntBuffer() {
    return IntBuffer.allocate(generateInt());
  }

  @Generates

	if err != nil {
		return pi, toObjectErr(err, bucket, object)
	}

	// Fetch buffer for I/O, returns from the pool if not allocates a new one and returns.
	var buffer []byte
	switch size := data.Size(); {
	case size == 0:
		buffer = make([]byte, 1) // Allocate at least a byte to reach EOF
	case size == -1:
		if size := data.ActualSize(); size > 0 && size < fi.Erasure.BlockSize {

	if err != nil {
		return ObjectInfo{}, toObjectErr(err, minioMetaBucket, key)
	}

	// Fetch buffer for I/O, returns from the pool if not allocates a new one and returns.
	var buffer []byte
	switch size := data.Size(); {
	case size == 0:
		buffer = make([]byte, 1) // Allocate at least a byte to reach EOF
	case size >= fi.Erasure.BlockSize:
		buffer = globalBytePoolCap.Load().Get()

}

// VersionPurgeStatusKey denotes purge status in metadata
const (
	VersionPurgeStatusKey = ReservedMetadataPrefixLower + "purgestatus"
)

// newFileInfo - initializes new FileInfo, allocates a fresh erasure info.
func newFileInfo(object string, dataBlocks, parityBlocks int) (fi FileInfo) {
	fi.Erasure = ErasureInfo{
		Algorithm:    erasureAlgorithm,
		DataBlocks:   dataBlocks,
		ParityBlocks: parityBlocks,

    }

    @Override
    public ModelSource resolve(ModelLocator locator, String relative) {
        String norm = relative.replace('\\', File.separatorChar).replace('/', File.separatorChar);
        Path path = getPath().getParent().resolve(norm);
        Path relatedPom = locator.locateExistingPom(path);
        if (relatedPom != null) {
            return new PathSource(relatedPom.normalize(), null);