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// Targeted by JavaCPP version 1.5.11: DO NOT EDIT THIS FILE
package org.bytedeco.pytorch;
import org.bytedeco.pytorch.Allocator;
import org.bytedeco.pytorch.Function;
import org.bytedeco.pytorch.Module;
import org.bytedeco.javacpp.annotation.Cast;
import java.nio.*;
import org.bytedeco.javacpp.*;
import org.bytedeco.javacpp.annotation.*;
import static org.bytedeco.javacpp.presets.javacpp.*;
import static org.bytedeco.openblas.global.openblas_nolapack.*;
import static org.bytedeco.openblas.global.openblas.*;
import org.bytedeco.javacpp.chrono.*;
import static org.bytedeco.javacpp.global.chrono.*;
import static org.bytedeco.pytorch.global.torch.*;
@Namespace("c10::impl") @NoOffset @Properties(inherit = org.bytedeco.pytorch.presets.torch.class)
public class PyInterpreter extends Pointer {
static { Loader.load(); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public PyInterpreter(Pointer p) { super(p); }
public native @Const PyInterpreterVTable vtable_(); public native PyInterpreter vtable_(PyInterpreterVTable setter);
public PyInterpreter(@Const PyInterpreterVTable vtable) { super((Pointer)null); allocate(vtable); }
private native void allocate(@Const PyInterpreterVTable vtable);
public native @Const @ByRef @Name("operator *") @NoException(true) PyInterpreterVTable multiply();
public native @Const @Name("operator ->") @NoException(true) PyInterpreterVTable access();
// Disarm this PyInterpreter, making all of its methods noops.
// The vtable pointer is not an atomic at the moment, which means
// a disarm() invocation that is concurrent with active destructors
// is not thread safe and will trigger TSAN. My hope is that this
// situations doesn't ever actually happen; tensor destruction should
// quiesce when a dlclose happens, and any long lived tensors whose
// destructors would be disarmed here only begin the destruction process
// on process shutdown (long after the dlclose has occurred).
public native @NoException(true) void disarm();
}
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