virtual bool HasCustomDeviceInput() const = 0;

  virtual const tensorflow::OpDef* OpDef() const = 0;

  virtual absl::Status InputLength(const char* input_name, int* length) = 0;
  virtual absl::Status OutputLength(const char* output_name, int* length) = 0;

  // Set stack trace to be used for potential async error reporting.
  virtual void SetStackTrace(ManagedStackTrace stack_trace) = 0;

	//export MyFunction
	func MyFunction(arg1, arg2 int, arg3 string) int64 {...}

	//export MyFunction2
	func MyFunction2(arg1, arg2 int, arg3 string) (int64, *C.char) {...}

They will be available in the C code as:

	extern GoInt64 MyFunction(int arg1, int arg2, GoString arg3);
	extern struct MyFunction2_return MyFunction2(int arg1, int arg2, GoString arg3);

  duration: Long,
  unit: TimeUnit,
): Int {
  check(duration >= 0L) { "$name < 0" }
  val millis = unit.toMillis(duration)
  require(millis <= Integer.MAX_VALUE) { "$name too large" }
  require(millis != 0L || duration <= 0L) { "$name too small" }
  return millis.toInt()
}

internal fun checkDuration(
  name: String,
  duration: Duration,
): Int {
  check(!duration.isNegative()) { "$name < 0" }

    collection = getSubjectGenerator().create(arrayAndDuplicate.elements);
    E duplicate = arrayAndDuplicate.duplicate;

    int firstIndex = getList().indexOf(duplicate);
    int initialSize = getList().size();
    assertTrue("remove(present) should return true", getList().remove(duplicate));
    assertTrue(

  static final Iterable<LegacyComparable> VALUES_BACKWARD = asList(Z, Y, X);

  private final String value;

  LegacyComparable(String value) {
    this.value = value;
  }

  @Override
  public int compareTo(Object object) {
    // This method is spec'd to throw CCE if object is of the wrong type
    LegacyComparable that = (LegacyComparable) object;
    return this.value.compareTo(that.value);
  }

  @Override

        this.buf = out;
        this.consumer = consumer;
    }

    public PrintStream printStream() {
        return new LoggingPrintStream(this);
    }

    @Override
    public void write(int b) throws IOException {
        super.write(b);
        if (buf.isEol()) {
            String line = new String(buf.toByteArray(), 0, buf.size() - LINE_SEP.length);
            ProjectBuildLogAppender.updateMdc();

            .build();
        nodeEnv = new NodeEnvironment(settings, new Environment(settings, null));

        Files.createDirectories(nodePath.indicesPath);
        excludedDirs = new HashSet<>();
        int numIndices = 5000;
        for (int i = 0; i < numIndices; i++) {
            String dirName = "dir" + i;
            Files.createDirectory(nodePath.indicesPath.resolve(dirName));
            excludedDirs.add(dirName);
        }

    }

    private static Severity getSeverity(ModelBuildingRequest request, int errorThreshold) {
        return getSeverity(request.getValidationLevel(), errorThreshold);
    }

    private static Severity getSeverity(int validationLevel, int errorThreshold) {
        if (validationLevel < errorThreshold) {
            return Severity.WARNING;
        } else {

      "input": "foo"
    }
  ]
}
```

Der Pfad-Parameter `item_id` hatte den Wert „foo“, was kein `int` ist.

Die gleiche Fehlermeldung würde angezeigt werden, wenn Sie ein `float` (also eine Kommazahl) statt eines `int`s übergeben würden, wie etwa in: [http://127.0.0.1:8000/items/4.2](http://127.0.0.1:8000/items/4.2)

/// check | Testen

#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

namespace {

using ::tensorflow::string;

void ReplaceTaskInServerDef(tensorflow::ServerDef* server_def, int task_index) {
  tensorflow::JobDef* job_def = server_def->mutable_cluster()->mutable_job(0);
  int port = tensorflow::testing::PickUnusedPortOrDie();
  job_def->mutable_tasks()->at(task_index) = absl::StrCat("localhost:", port);
}