}

// IsEmpty returns true if no select parameters set
func (sp *SelectParameters) IsEmpty() bool {
	return sp == nil
}

var selectParamsXMLName = "SelectParameters"

// UnmarshalXML - decodes XML data.
func (sp *SelectParameters) UnmarshalXML(d *xml.Decoder, start xml.StartElement) error {
	// Essentially the same as S3Select barring the xml name.
	if start.Name.Local == selectParamsXMLName {

                         TF_Status* status) {
  status->status = absl::OkStatus();
  for (int i = 0; i < noutputs; ++i) {
    c_outputs[i] = nullptr;
  }
}

// TF_TensorToTensorV1 decodes a string serialization to DT_RESOURCE.
// In the TFv1 convention, TF_Tensor can hold a string serialization of
// DT_RESOURCE. The string serialization is converted back to a

		}

		// OK, parse data.
		// ignore any parsing errors, we do not care this file is generated again anyways.
		re.DecodeMsg(msgp.NewReader(rc))

		return re, nil
	}

	globalLocalDrivesMu.RLock()
	localDrives := cloneDrives(globalLocalDrivesMap)
	globalLocalDrivesMu.RUnlock()

~[n]fieldElement](b []byte, f T) []byte { out, B := sliceForAppend(b, encodingSize12) for i := 0; i < n; i += 2 { x := uint32(f[i]) | uint32(f[i+1])<<12 B[0] = uint8(x) B[1] = uint8(x >> 8) B[2] = uint8(x >> 16) B = B[3:] } return out } // polyByteDecode decodes the 384-byte encoding of a polynomial, checking that // all the coefficients are properly reduced. This fulfills the "Modulus check" // step of ML-KEM Encapsulation. // // It implements ByteDecode₁₂, according to FIPS 203, Algorithm 6. func polyByteDecode[T...

~[n]fieldElement](b []byte, f T) []byte { out, B := sliceForAppend(b, encodingSize12) for i := 0; i < n; i += 2 { x := uint32(f[i]) | uint32(f[i+1])<<12 B[0] = uint8(x) B[1] = uint8(x >> 8) B[2] = uint8(x >> 16) B = B[3:] } return out } // polyByteDecode decodes the 384-byte encoding of a polynomial, checking that // all the coefficients are properly reduced. This fulfills the "Modulus check" // step of ML-KEM Encapsulation. // // It implements ByteDecode₁₂, according to FIPS 203, Algorithm 6. func polyByteDecode[T...

*   Added a distributed runtime using GRPC
*   Move skflow to `contrib/learn`
*   Better linear optimizer in `contrib/linear_optimizer`
*   Random forest implementation in `contrib/tensor_forest`
*   CTC loss and decoders in `contrib/ctc`
*   Basic support for `half` data type
*   Better support for loading user ops (see examples in `contrib/`)
*   Allow use of (non-blocking) Eigen threadpool with