}
    auto tag = tensorflow::strings::StrCat("Device #", i, " (", name, ")");
    // Copy to device
    TFE_TensorHandle* hdevice =
        TFE_TensorHandleCopyToDevice(hcpu, ctx, name.c_str(), status.get());
    if (TF_GetCode(status.get()) != TF_OK) {
      ADD_FAILURE() << tag << " -- " << TF_Message(status.get());
      continue;
    }
    // Copy from device to the same device.
    TFE_TensorHandle* hdevice2 =

    TF_ImportGraphDefOptions* opts, const char* prefix);

// Set the execution device for nodes in `graph_def`.
// Only applies to nodes where a device was not already explicitly specified.
// `device` is copied and has no lifetime requirements.
TF_CAPI_EXPORT extern void TF_ImportGraphDefOptionsSetDefaultDevice(
    TF_ImportGraphDefOptions* opts, const char* device);

// Set whether to uniquify imported operation names. If true, imported operation

    }

    /**
     * Creates highlight information based on screen width.
     * Adjusts fragment size for mobile devices.
     *
     * @return the highlight information
     */
    public HighlightInfo createHighlightInfo() {
        return LaRequestUtil.getOptionalRequest().map(req -> {

            // Bind global datepicker mousedown for hiding and
            $(document)
              .on('mousedown.daterangepicker', this._outsideClickProxy)
              // also support mobile devices
              .on('touchend.daterangepicker', this._outsideClickProxy)
              // also explicitly play nice with Bootstrap dropdowns, which stopPropagation when clicking them

  * **alpha**: NVIDIA GPU support ([#24836](https://github.com/kubernetes/kubernetes/pull/24836), [@therc](https://github.com/therc))
  * Adding loadBalancer services and nodeports services to quota system

## Known Issues and Important Steps before Upgrading

  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  TF_DeleteGraph(graph);
  TF_DeleteStatus(s);
}

// If `device` is non-empty, run Min op on that device.
// Otherwise run it on the default device (CPU).
void RunMinTest(const std::string& device, bool use_XLA) {
  TF_Status* s = TF_NewStatus();
  TF_Graph* graph = TF_NewGraph();

  // Make a placeholder operation.

                                "schema": {
                                    "type": "array",
                                    "items": {"type": "integer"},
                                    "title": "Device Ids",
                                },
                            }
                        ],
                        "responses": {
                            "200": {

import java.util.stream.Collectors;
import java.util.stream.Stream;

import org.apache.maven.api.Lifecycle;
import org.apache.maven.api.MonotonicClock;
import org.apache.maven.api.services.LifecycleRegistry;
import org.apache.maven.api.services.MavenException;
import org.apache.maven.api.xml.XmlNode;
import org.apache.maven.api.xml.XmlService;
import org.apache.maven.execution.BuildFailure;
import org.apache.maven.execution.BuildSuccess;

import org.apache.maven.api.Constants;
import org.apache.maven.api.cli.extensions.CoreExtension;
import org.apache.maven.api.cli.extensions.InputSource;
import org.apache.maven.api.services.MessageBuilder;
import org.apache.maven.api.services.MessageBuilderFactory;
import org.apache.maven.building.FileSource;
import org.apache.maven.building.Problem;
import org.apache.maven.building.Source;

    name = "is_cuda_enabled",
    actual = if_oss(
        "@local_config_cuda//:is_cuda_enabled",
        "@local_config_cuda//cuda:using_config_cuda",
    ),
)

# Config setting that is satisfied when CUDA device code should be compiled
# with clang. It does not imply that CUDA support has been enabled.
alias(
    name = "is_cuda_compiler_clang",
    actual = if_oss(
        "@local_config_cuda//:is_cuda_compiler_clang",