graph and must match the return type of the graph.
  }];

  let arguments = (ins
    Variadic<AnyType>:$fetches
  );

  let builders = [
    OpBuilder<(ins),
    [{
      build($_builder, $_state, {});
    }]>
   ];

  let assemblyFormat = "($fetches^ `:` type($fetches))? attr-dict";

  let hasVerifier = 0;

// Code generated by linux/mkall.go generatePtraceRegSet("arm64"). DO NOT EDIT.

package unix

import "unsafe"

// PtraceGetRegSetArm64 fetches the registers used by arm64 binaries.
func PtraceGetRegSetArm64(pid, addr int, regsout *PtraceRegsArm64) error {
	iovec := Iovec{(*byte)(unsafe.Pointer(regsout)), uint64(unsafe.Sizeof(*regsout))}
	return ptracePtr(PTRACE_GETREGSET, pid, uintptr(addr), unsafe.Pointer(&iovec))
}

      tf_executor::FetchOp fetch = graph_op.GetFetch();
      auto fetches = llvm::to_vector<8>(fetch.getOperands());
      fetches.append(unused_execute_controls.begin(),
                     unused_execute_controls.end());
      builder.setInsertionPoint(fetch);
      builder.create<tf_executor::FetchOp>(fetch.getLoc(), fetches);
      fetch.erase();
    }
  } else {

import javax.annotation.Nullable;
import java.io.File;
import java.io.IOException;

public interface CacheAwareExternalResourceAccessor {
    /**
     * Fetches for a resource located at some URI.
     * @param source the URI of the resource to be fetched
     * @param baseName the required name of the local resource. Can be null.
     * @param fileStore used whenever the resource is effectively downloaded, to move it into a cache

	wasmCacheEntries = monitoring.NewGauge(
		"wasm_cache_entries",
		"number of Wasm remote fetch cache entries.",
	)

	wasmCacheLookupCount = monitoring.NewSum(
		"wasm_cache_lookup_count",
		"number of Wasm remote fetch cache lookups.",
	)

	wasmRemoteFetchCount = monitoring.NewSum(
		"wasm_remote_fetch_count",
		"number of Wasm remote fetches and results, including success, download failure, and checksum mismatch.",
	)

namespace tensorflow {
namespace experimental {
namespace cc {

// FunctionMetadata stores additional function information, including
// optional signaturedef feeds/fetches (for TF1-based ConcreteFunctions),
// a valid function path (for TF2-based ConcreteFunctions), and
// the types + number of inputs and outputs.
class FunctionMetadata final {
  // TODO(bmzhao): Add getters here as necessary.

    tf_executor.fetch %1#0 : tensor<4x!tf_type.f32ref>
  }
  func.return %fetches : tensor<4x!tf_type.f32ref>
}

// -----

// Check that switchN data operand is broadcastable with all output types
func.func @invalid_switchN(%arg0: tensor<*xf32>, %arg1: tensor<i32>) -> tensor<*xf32> {
  %fetches = tf_executor.graph {

		"controller_sync_errors_total",
		"Total number of errorMetric syncing controllers.",
	)

	mu       sync.RWMutex
	handlers = map[cluster.ID]cache.WatchErrorHandler{}
)

// ErrorHandlerForCluster fetches or creates an ErrorHandler that emits a metric
// and logs when a watch error occurs. For use with SetWatchErrorHandler on SharedInformer.
func ErrorHandlerForCluster(clusterID cluster.ID) cache.WatchErrorHandler {
	mu.RLock()

void GraphPruningPass::PruneGraph(GraphOp graph) {
  // A graph has a single block which forms a DAG: operations that aren't
  // reachable from the `fetch` operands can be eliminated.

  llvm::SmallPtrSet<Operation*, 8> reachable_ops;
  llvm::SmallVector<Operation*, 8> ops_to_visit;

  // Visit fetches first to create a starting point for ops that are reachable.
  reachable_ops.insert(graph.GetFetch());

 * limitations under the License.
 */

package org.gradle.cache;

/**
 * A persistent store containing an object of type T.
 */
public interface ObjectHolder<T> {
    /**
     * Fetches the value from this cache. A shared or exclusive lock is held while fetching the value, depending on implementation.
     */
    T get();

    /**