// panicking goroutine. Executing a call to recover inside a deferred
// function (but not any function called by it) stops the panicking sequence
// by restoring normal execution and retrieves the error value passed to the
// call of panic. If recover is called outside the deferred function it will
// not stop a panicking sequence. In this case, or when the goroutine is not

  // TODO(allenl): We should remove "TPU" from these op names at the very least,
  // or consider other ways of packing/unpacking parallel tensors.
  if (operation_name == std::string("TPUReplicatedInput")) {
    // Special-cased operation for packing per-device tensors into one parallel
    // tensor.
    if (inputs.size() != parallel_device.num_underlying_devices()) {
      std::string message(absl::StrCat(

                but in this case the packaging=pom all I could do is use additionalClasspathElement that APPENDS classpath,
                hence template is renamed to maven-configuration.md.vm, to avoid conflict (and picking up resolver template)
                -->
                <argument>--templates=maven-configuration.md,configuration.properties,configuration.yaml</argument>
                <argument>${basedir}/..</argument>

  "durations" : [ {
    "testProject" : "archivePerformanceProject",
    "linux" : 159
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.ArchiveTreePerformanceTest.packing tar",
  "durations" : [ {
    "testProject" : "archivePerformanceProject",
    "linux" : 184
  } ]
}, {

      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.corefeature.ArchiveTreePerformanceTest.packing tar",
    "groups" : [ {
      "testProject" : "archivePerformanceProject",
      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    } ]
  }, {

1. If the destination has a waypoint proxy, we must send to it to the waypoint (using HBONE).
   When we do this, we will want to preserve the original destination Service IP, as the waypoint can do a better job picking a backend pod than we can.

  // When false or unset, the system pick labels unique to this job
  // and appends those labels to the pod template.  When true,
  // the user is responsible for picking unique labels and specifying
  // the selector.  Failure to pick a unique label may cause this
  // and other jobs to not function correctly.  However, You may see

    if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) {
      // One of the inputs we're trying to pack is on a custom device. We'll let
      // the first custom device we see handle all of the packing.
      auto* custom_device_handle =
          tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>(
              unwrapped_handle);
      tensorflow::ImmediateExecutionTensorHandle* result;

                                          void* device_info) {
  TF_SetStatus(status, TF_UNIMPLEMENTED,
               "This custom device does not support packing tensors.");
  return nullptr;
}
}  // namespace

extern "C" {

bool TFE_IsCustomDevice(TFE_Context* ctx, const char* device_name) {
  return tensorflow::unwrap(ctx)->IsCustomDevice(device_name);