the-algorithm/ann/src/main/java/com/twitter/ann/faiss/swig/LinearTransform.java

118 lines
3.7 KiB
Java

/* ----------------------------------------------------------------------------
* This file was automatically generated by SWIG (http://www.swig.org).
* Version 4.0.2
*
* Do not make changes to this file unless you know what you are doing--modify
* the SWIG interface file instead.
* ----------------------------------------------------------------------------- */
package com.twitter.ann.faiss;
public class LinearTransform extends VectorTransform {
private transient long swigCPtr;
protected LinearTransform(long cPtr, boolean cMemoryOwn) {
super(swigfaissJNI.LinearTransform_SWIGUpcast(cPtr), cMemoryOwn);
swigCPtr = cPtr;
}
protected static long getCPtr(LinearTransform obj) {
return (obj == null) ? 0 : obj.swigCPtr;
}
@SuppressWarnings("deprecation")
protected void finalize() {
delete();
}
public synchronized void delete() {
if (swigCPtr != 0) {
if (swigCMemOwn) {
swigCMemOwn = false;
swigfaissJNI.delete_LinearTransform(swigCPtr);
}
swigCPtr = 0;
}
super.delete();
}
public void setHave_bias(boolean value) {
swigfaissJNI.LinearTransform_have_bias_set(swigCPtr, this, value);
}
public boolean getHave_bias() {
return swigfaissJNI.LinearTransform_have_bias_get(swigCPtr, this);
}
public void setIs_orthonormal(boolean value) {
swigfaissJNI.LinearTransform_is_orthonormal_set(swigCPtr, this, value);
}
public boolean getIs_orthonormal() {
return swigfaissJNI.LinearTransform_is_orthonormal_get(swigCPtr, this);
}
public void setA(FloatVector value) {
swigfaissJNI.LinearTransform_A_set(swigCPtr, this, FloatVector.getCPtr(value), value);
}
public FloatVector getA() {
long cPtr = swigfaissJNI.LinearTransform_A_get(swigCPtr, this);
return (cPtr == 0) ? null : new FloatVector(cPtr, false);
}
public void setB(FloatVector value) {
swigfaissJNI.LinearTransform_b_set(swigCPtr, this, FloatVector.getCPtr(value), value);
}
public FloatVector getB() {
long cPtr = swigfaissJNI.LinearTransform_b_get(swigCPtr, this);
return (cPtr == 0) ? null : new FloatVector(cPtr, false);
}
public LinearTransform(int d_in, int d_out, boolean have_bias) {
this(swigfaissJNI.new_LinearTransform__SWIG_0(d_in, d_out, have_bias), true);
}
public LinearTransform(int d_in, int d_out) {
this(swigfaissJNI.new_LinearTransform__SWIG_1(d_in, d_out), true);
}
public LinearTransform(int d_in) {
this(swigfaissJNI.new_LinearTransform__SWIG_2(d_in), true);
}
public LinearTransform() {
this(swigfaissJNI.new_LinearTransform__SWIG_3(), true);
}
public void apply_noalloc(long n, SWIGTYPE_p_float x, SWIGTYPE_p_float xt) {
swigfaissJNI.LinearTransform_apply_noalloc(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(x), SWIGTYPE_p_float.getCPtr(xt));
}
public void transform_transpose(long n, SWIGTYPE_p_float y, SWIGTYPE_p_float x) {
swigfaissJNI.LinearTransform_transform_transpose(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(y), SWIGTYPE_p_float.getCPtr(x));
}
public void reverse_transform(long n, SWIGTYPE_p_float xt, SWIGTYPE_p_float x) {
swigfaissJNI.LinearTransform_reverse_transform(swigCPtr, this, n, SWIGTYPE_p_float.getCPtr(xt), SWIGTYPE_p_float.getCPtr(x));
}
public void set_is_orthonormal() {
swigfaissJNI.LinearTransform_set_is_orthonormal(swigCPtr, this);
}
public void setVerbose(boolean value) {
swigfaissJNI.LinearTransform_verbose_set(swigCPtr, this, value);
}
public boolean getVerbose() {
return swigfaissJNI.LinearTransform_verbose_get(swigCPtr, this);
}
public void print_if_verbose(String name, DoubleVector mat, int n, int d) {
swigfaissJNI.LinearTransform_print_if_verbose(swigCPtr, this, name, DoubleVector.getCPtr(mat), mat, n, d);
}
}