* distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.performance.measure;

import com.google.common.collect.Lists;
import org.apache.commons.math3.stat.inference.MannWhitneyUTest;

distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/

package cel

import (
	"context"
	"time"

	"github.com/google/cel-go/cel"
	"github.com/google/cel-go/common/types/ref"

#include "tensorflow/core/graph/node_builder.h"

namespace tensorflow {
namespace ops {

namespace {

// Utility function for converting to internal C++ datatypes.
OutputTensor ToOutputTensor(const Output& output) {
  return OutputTensor(output.node(), output.index());
}

// Utility function for converting to internal C++ datatypes.
std::vector<OutputTensor> ToOutputTensors(const std::vector<Output>& outputs) {

distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include <optional>
#include <vector>

#include "llvm/ADT/STLExtras.h"

// %2 = quantfork.QuantizeCastOp(%0) : f32 -> qtype2
// %3 = quantfork.QuantizedOp1(%1)
// %4 = quantfork.QuantizedOp2(%2)
// Converting from f32 -> qtype1 -> qtype2 will add unexpected quantization
// lost for %2. This pattern avoids that by converting from f32 -> qtype2
// directly.
class MergeConsecutiveQuantizeCast
    : public mlir::OpRewritePattern<quantfork::QuantizeCastOp> {
 public:

// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package crd

import (
	"encoding/json"
	"testing"

	gateway "sigs.k8s.io/gateway-api/apis/v1beta1"

	"istio.io/api/meta/v1alpha1"

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

// The full pipeline of converting jax random include 2 steps.
// 1. Rename the jax random functions to tflite wrapped functions with the aid

  auto func = getOperation();

  // The pattern includes
  // - Converting XlaDotV2Op to EinsumOp
  // - Converting XlaGatherOp to SliceOp
  RewritePatternSet patterns(ctx);
  populateWithGenerated(patterns);

  if (failed(applyPatternsAndFoldGreedily(func, std::move(patterns)))) {
    func.emitError() << "quant-converting-tf-xla-op-to-tf-op failed.";
    signalPassFailure();
  }
}

}  // namespace

// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package retry

import (
	"net/http"
	"strconv"
	"strings"

	route "github.com/envoyproxy/go-control-plane/envoy/config/route/v3"

distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#include "tensorflow/compiler/mlir/tfrt/runtime_fallback/runtime_fallback_executor.h"