build:unsupported_gpu_linux --config=tensorrt
build:unsupported_gpu_linux --action_env=CUDA_TOOLKIT_PATH="/usr/local/cuda-11.2"
build:unsupported_gpu_linux --action_env=LD_LIBRARY_PATH="/usr/local/cuda:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda-11.1/lib64:/usr/local/tensorrt/lib"
build:unsupported_gpu_linux --action_env=GCC_HOST_COMPILER_PATH="/dt9/usr/bin/gcc"

   * supports it.
   */
  public static <T extends @Nullable Object> Iterator<T> concat(
      Iterator<? extends T> a, Iterator<? extends T> b) {
    checkNotNull(a);
    checkNotNull(b);
    return concat(consumingForArray(a, b));
  }

  /**
   * Combines three iterators into a single iterator. The returned iterator iterates across the

					"plugins-java-base",
					"build-cache",
					"messaging",
					"war",
					"java-platform",
					"build-profile",
					"resources-gcs",
					"ear",
					"plugins-distribution",
					"build-cache-local"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"composite-builds",
					"declarative-dsl-core",
					"problems",

// order, and type) the op declaration.  For example, the "Concat" op
// has registration:
//   REGISTER_OP("Concat")
//       .Input("concat_dim: int32")
//       .Input("values: N * T")
//       .Output("output: T")
//       .Attr("N: int >= 2")
//       .Attr("T: type");
// that defines two inputs, "concat_dim" and "values" (in that order).

   * supports it.
   */
  public static <T extends @Nullable Object> Iterator<T> concat(
      Iterator<? extends T> a, Iterator<? extends T> b) {
    checkNotNull(a);
    checkNotNull(b);
    return concat(consumingForArray(a, b));
  }

  /**
   * Combines three iterators into a single iterator. The returned iterator iterates across the

    assertEquals(new TypeToken<List<String>>() {}, t);
  }

  public void testNonStaticLocalClass() {
    class Local<T> {}
    TypeToken<Local<String>> type = new TypeToken<Local<String>>() {};
    assertEquals(Types.newParameterizedType(Local.class, String.class), type.getType());
    assertEquals(new Local<String>() {}.getClass().getGenericSuperclass(), type.getType());
  }

  public void testStaticLocalClass() {

    assertEquals(new TypeToken<List<String>>() {}, t);
  }

  public void testNonStaticLocalClass() {
    class Local<T> {}
    TypeToken<Local<String>> type = new TypeToken<Local<String>>() {};
    assertEquals(Types.newParameterizedType(Local.class, String.class), type.getType());
    assertEquals(new Local<String>() {}.getClass().getGenericSuperclass(), type.getType());
  }

  public void testStaticLocalClass() {

 */
private enum class ImportKind {
    /** The symbol is available from the local scope and hence cannot be imported or overwritten. */
    LOCAL,

    /** Explicitly imported by user. */
    EXPLICIT,

    /** Implicitly imported from package. */
    PACKAGE,

  const char remote_device[] = "/job:worker/replica:0/task:1/device:CPU:0";

  // Create a variable `var` on `worker2` using `local_ctx`.
  TFE_TensorHandle* handle_0 =
      CreateVariable(local_ctx, 1.2, remote_device, /*variable_name=*/"var");
  TF_Status* status = TF_NewStatus();
  TFE_ContextAsyncWait(local_ctx, status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteStatus(status);

// - Range over all the available buckets
// - Check if a bucket has an entry in etcd backend
// -- If no, make an entry
// -- If yes, check if the entry matches local IP check if we
//
//	need to update the entry then proceed to update
//
// -- If yes, check if the IP of entry matches local IP.
//
//	This means entry is for this instance.
//
// -- If IP of the entry doesn't match, this means entry is
//