
org.bytedeco.tensorflowlite.TfLiteTelemetrySettings Maven / Gradle / Ivy
// Targeted by JavaCPP version 1.5.11: DO NOT EDIT THIS FILE
package org.bytedeco.tensorflowlite;
import java.nio.*;
import org.bytedeco.javacpp.*;
import org.bytedeco.javacpp.annotation.*;
import static org.bytedeco.tensorflowlite.global.tensorflowlite.*;
// #endif // __cplusplus
// TFLite model, interpreter or delegate settings that will be reported by
// telemetry.
// Note: This struct does not comply with ABI stability.
@Properties(inherit = org.bytedeco.tensorflowlite.presets.tensorflowlite.class)
public class TfLiteTelemetrySettings extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public TfLiteTelemetrySettings() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public TfLiteTelemetrySettings(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public TfLiteTelemetrySettings(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public TfLiteTelemetrySettings position(long position) {
return (TfLiteTelemetrySettings)super.position(position);
}
@Override public TfLiteTelemetrySettings getPointer(long i) {
return new TfLiteTelemetrySettings((Pointer)this).offsetAddress(i);
}
// Source of the settings. Determines how `data` is interpreted.
// See tflite::telemetry::TelemetrySource for definition.
public native @Cast("uint32_t") int source(); public native TfLiteTelemetrySettings source(int setter);
// Settings data. Interpretation based on `source`.
// If `source` is TFLITE_INTERPRETER, the type of `data` will
// be `TelemetryInterpreterSettings`.
// Otherwise, the data is provided by the individual delegate.
// Owned by the caller that exports TelemetrySettings (e.g. Interpreter).
public native @Const Pointer data(); public native TfLiteTelemetrySettings data(Pointer setter);
}
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