in another `APIRouter` (ultimately included in the app).

    Read more about it in the
    [FastAPI docs for Bigger Applications - Multiple Files](https://fastapi.tiangolo.com/tutorial/bigger-applications/).

    ## Example

    ```python
    from fastapi import APIRouter, FastAPI

    app = FastAPI()
    router = APIRouter()

                [FastAPI docs for Additional Responses in OpenAPI](https://fastapi.tiangolo.com/advanced/additional-responses/).

                And in the
                [FastAPI docs for Bigger Applications](https://fastapi.tiangolo.com/tutorial/bigger-applications/#include-an-apirouter-with-a-custom-prefix-tags-responses-and-dependencies).
                """
            ),
        ] = None,
        callbacks: Annotated[

  }

  // Specialization for bf16 type.
  if (getType().cast<ShapedType>().getElementType().isBF16()) {
    return ConstFoldBinaryOp<FloatAttr, Eigen::bfloat16>(
        getType(), operands[0], operands[1],
        [](Eigen::bfloat16 a, Eigen::bfloat16 b) { return a * b; });
  }

  // Generic fallback with APFloat
  return ConstFoldBinaryOp(

}

func (v Value) bytesSlow() []byte {
	switch v.kind() {
	case Slice:
		if v.typ().Elem().Kind() != abi.Uint8 {
			panic("reflect.Value.Bytes of non-byte slice")
		}
		// Slice is always bigger than a word; assume flagIndir.
		return *(*[]byte)(v.ptr)
	case Array:
		if v.typ().Elem().Kind() != abi.Uint8 {
			panic("reflect.Value.Bytes of non-byte array")
		}
		if !v.CanAddr() {

FIG. 10.] seen through the Lens AB, appears at the place _q_ from whence the Rays diverge in passing from the Lens to the Eye. Now it is to be noted, that the Image of the Object at _q_ is so much bigger or lesser than the Object it self at Q, as the distance of the Image at _q_ from the Lens AB is bigger or less than the distance of the Object at Q from the same Lens. And if the Object be seen through two or more such Convex or Concave-glasses, every Glass shall make a new Image, and the Object shall...

"blitt", "kunne", "inn", "når", "være", "kom", "noen", "noe", "ville", "dere", "som", "deres", "kun", "ja", "etter", "ned", "skulle", "denne", "for", "deg", "si", "sine", "sitt", "mot", "å", "meget", "hvorfor", "dette", "disse", "uten", "hvordan", "ingen", "din", "ditt", "blir", "samme", "hvilken", "hvilke", "sånn", "inni", "mellom", "vår", "hver", "hvem", "vors", "hvis", "både", "bare", "enn", "fordi", "før", "mange", "også", "slik", "vært", "være", "båe", "begge", "siden", "dykk", "dykkar", "dei",...

"blitt", "kunne", "inn", "når", "være", "kom", "noen", "noe", "ville", "dere", "som", "deres", "kun", "ja", "etter", "ned", "skulle", "denne", "for", "deg", "si", "sine", "sitt", "mot", "å", "meget", "hvorfor", "dette", "disse", "uten", "hvordan", "ingen", "din", "ditt", "blir", "samme", "hvilken", "hvilke", "sånn", "inni", "mellom", "vår", "hver", "hvem", "vors", "hvis", "både", "bare", "enn", "fordi", "før", "mange", "også", "slik", "vært", "være", "båe", "begge", "siden", "dykk", "dykkar", "dei",...

	dst.LastWriteTime = src.LastWriteTime
	dst.FileSizeHigh = src.FileSizeHigh
	dst.FileSizeLow = src.FileSizeLow
	dst.Reserved0 = src.Reserved0
	dst.Reserved1 = src.Reserved1

	// The src is 1 element bigger than dst, but it must be NUL.
	copy(dst.FileName[:], src.FileName[:])
	copy(dst.AlternateFileName[:], src.AlternateFileName[:])
}

type ByHandleFileInformation struct {
	FileAttributes     uint32

	}

	objAPI := api.ObjectAPI()
	if objAPI == nil {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrServerNotInitialized), r.URL)
		return
	}

	// Tags XML will not be bigger than 1MiB in size, fail if its bigger.
	tags, err := tags.ParseObjectXML(io.LimitReader(r.Body, 1<<20))
	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

}

// Checks if the given convolution op is depthwise.
bool IsDepthwiseConvolution(stablehlo::ConvolutionOp op) {
  // `feature_group_count` controls how the input channel dimension is
  // split.
  // A value bigger than one signals depthwise convolution behavior.
  return op.getFeatureGroupCount() > 1;
}

// Returns kernel output feature dimension of TFLite convolutions.