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Suppport for MSVC DLLs.

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Change-Id: Ibbcc4ba4e59f5bbf1cb91fe81c7d3b9042d03493
This commit is contained in:
Björn Piltz
2014-04-23 22:13:37 +02:00
committed by Keir Mierle
parent c830820a5c
commit 5d7eed87b4
17 changed files with 108 additions and 73 deletions
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include/ceres/loss_function.h
+9 -9
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@@ -82,7 +82,7 @@
namespace ceres {
class LossFunction {
class CERES_EXPORT LossFunction {
public:
virtual ~LossFunction() {}
@@ -128,7 +128,7 @@ class LossFunction {
// It is not normally necessary to use this, as passing NULL for the
// loss function when building the problem accomplishes the same
// thing.
class TrivialLoss : public LossFunction {
class CERES_EXPORT TrivialLoss : public LossFunction {
public:
virtual void Evaluate(double, double*) const;
};
@@ -171,7 +171,7 @@ class TrivialLoss : public LossFunction {
//
// The scaling parameter 'a' corresponds to 'delta' on this page:
// http://en.wikipedia.org/wiki/Huber_Loss_Function
class HuberLoss : public LossFunction {
class CERES_EXPORT HuberLoss : public LossFunction {
public:
explicit HuberLoss(double a) : a_(a), b_(a * a) { }
virtual void Evaluate(double, double*) const;
@@ -187,7 +187,7 @@ class HuberLoss : public LossFunction {
// rho(s) = 2 (sqrt(1 + s) - 1).
//
// At s = 0: rho = [0, 1, -1/2].
class SoftLOneLoss : public LossFunction {
class CERES_EXPORT SoftLOneLoss : public LossFunction {
public:
explicit SoftLOneLoss(double a) : b_(a * a), c_(1 / b_) { }
virtual void Evaluate(double, double*) const;
@@ -204,7 +204,7 @@ class SoftLOneLoss : public LossFunction {
// rho(s) = log(1 + s).
//
// At s = 0: rho = [0, 1, -1].
class CauchyLoss : public LossFunction {
class CERES_EXPORT CauchyLoss : public LossFunction {
public:
explicit CauchyLoss(double a) : b_(a * a), c_(1 / b_) { }
virtual void Evaluate(double, double*) const;
@@ -225,7 +225,7 @@ class CauchyLoss : public LossFunction {
// rho(s) = a atan(s / a).
//
// At s = 0: rho = [0, 1, 0].
class ArctanLoss : public LossFunction {
class CERES_EXPORT ArctanLoss : public LossFunction {
public:
explicit ArctanLoss(double a) : a_(a), b_(1 / (a * a)) { }
virtual void Evaluate(double, double*) const;
@@ -264,7 +264,7 @@ class ArctanLoss : public LossFunction {
// concentrated in the range a - b to a + b.
//
// At s = 0: rho = [0, ~0, ~0].
class TolerantLoss : public LossFunction {
class CERES_EXPORT TolerantLoss : public LossFunction {
public:
explicit TolerantLoss(double a, double b);
virtual void Evaluate(double, double*) const;
@@ -305,7 +305,7 @@ class ComposedLoss : public LossFunction {
// function, rho = NULL is a valid input and will result in the input
// being scaled by a. This provides a simple way of implementing a
// scaled ResidualBlock.
class ScaledLoss : public LossFunction {
class CERES_EXPORT ScaledLoss : public LossFunction {
public:
// Constructs a ScaledLoss wrapping another loss function. Takes
// ownership of the wrapped loss function or not depending on the
@@ -362,7 +362,7 @@ class ScaledLoss : public LossFunction {
//
// Solve(options, &problem, &summary)
//
class LossFunctionWrapper : public LossFunction {
class CERES_EXPORT LossFunctionWrapper : public LossFunction {
public:
LossFunctionWrapper(LossFunction* rho, Ownership ownership)
: rho_(rho), ownership_(ownership) {