本文整理汇总了C++中QualityMetric::evaluate_with_gradient方法的典型用法代码示例。如果您正苦于以下问题:C++ QualityMetric::evaluate_with_gradient方法的具体用法?C++ QualityMetric::evaluate_with_gradient怎么用?C++ QualityMetric::evaluate_with_gradient使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类QualityMetric
的用法示例。
在下文中一共展示了QualityMetric::evaluate_with_gradient方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: evaluate_with_gradient
bool CompareMetric::evaluate_with_gradient( PatchData& pd,
size_t handle,
double& value,
std::vector<size_t>& indices,
std::vector<Vector3D>& gradient,
MsqError& err )
{
double m2val;
bool r1, r2;
m2Handles.clear();
m2Grad.clear();
r1 = metric1->evaluate_with_gradient( pd, handle, value, indices, gradient, err ); MSQ_ERRZERO(err);
r2 = metric2->evaluate_with_gradient( pd, handle, m2val, m2Handles, m2Grad, err ); MSQ_ERRZERO(err);
if (r1 != r2 || (r1 && fabs(value - m2val) > epsilon)) {
MSQ_SETERR(err)(MsqError::INVALID_STATE,
"Metrics returned different values for handle %lu in "
"evaluate_with_gradient:\n"
"\t%s %f vs. %s %f\n", (unsigned long)handle,
r1?"true":"false",value,r2?"true":"false",m2val);
}
else {
std::vector<size_t>::const_iterator i, j;
std::vector<Vector3D>::const_iterator r, s;
int grad_diff = 0;
bool same = (indices.size() == m2Handles.size());
std::sort( m2Handles.begin(), m2Handles.end() );
for (i = indices.begin(); i != indices.end(); ++i) {
j = std::lower_bound( m2Handles.begin(), m2Handles.end(), *i );
if (j == m2Handles.end() || *j != *i) {
same = false;
continue;
}
r = gradient.begin() + (i - indices.begin());
s = m2Grad.begin() + (j - m2Handles.begin());
if (!equal(*r,*s))
++grad_diff;
}
if (!same) {
MSQ_SETERR(err)(MsqError::INVALID_STATE,
"Metrics returned incompatible lists of vertex indices"
" for handle %lu in evaluate_with_gradient\n.",
(unsigned long)handle );
}
else if (grad_diff) {
MSQ_SETERR(err)(MsqError::INVALID_STATE,
"Metrics returned different gradient vectors for "
" %d of %u vertices for handle %lu in "
"evaluate_with_gradient\n.",
grad_diff, (unsigned)gradient.size(),
(unsigned long)handle );
}
}
return r1 && !err;
}
示例2: evaluate_with_gradient
bool LPtoPTemplate::evaluate_with_gradient( EvalType type,
PatchData& pd,
double& OF_val,
std::vector<Vector3D>& grad_out,
MsqError& err )
{
QualityMetric* qm = get_quality_metric();
qm->get_evaluations( pd, qmHandles, OF_FREE_EVALS_ONLY, err ); MSQ_ERRFALSE(err);
// zero gradient
grad_out.clear();
grad_out.resize( pd.num_free_vertices(), Vector3D(0.0,0.0,0.0) );
bool qm_bool=true;
double QM_val;
OF_val = 0.;
int p1;
// calculate OF value and gradient for just the patch
std::vector<size_t>::const_iterator i;
for (i = qmHandles.begin(); i != qmHandles.end(); ++i)
{
qm_bool = qm->evaluate_with_gradient( pd, *i, QM_val, mIndices, mGradient, err );
if (MSQ_CHKERR(err) || !qm_bool)
return false;
QM_val = fabs(QM_val);
double QM_pow = 1.0;
double factor = qm->get_negate_flag();
if (pVal == 1)
QM_pow = 1.0;
else {
QM_pow = QM_val;
for (p1 = 2; p1 < pVal; ++p1)
QM_pow *= QM_val;
factor *= QM_pow * pVal;
}
OF_val += QM_pow * QM_val;
for (size_t j = 0; j < mIndices.size(); ++j) {
mGradient[j] *= factor;
grad_out[mIndices[j]] += mGradient[j];
}
}
// get overall OF value, update member data, etc.
size_t global_count;
OF_val = qm->get_negate_flag() * get_value( OF_val, qmHandles.size(), type, global_count, err );
// if (!global_count)
// return false; // invalid mesh
if (dividingByN && global_count) {
const double inv_n = 1.0/global_count;
std::vector<Vector3D>::iterator g;
for (g = grad_out.begin(); g != grad_out.end(); ++g)
*g *= inv_n;
}
return true;
}
示例3: evaluate_with_gradient
bool PMeanPTemplate::evaluate_with_gradient( EvalType type,
PatchData& pd,
double& value_out,
std::vector<Vector3D>& grad_out,
MsqError& err )
{
QualityMetric* qm = get_quality_metric();
qm->get_evaluations( pd, qmHandles, OF_FREE_EVALS_ONLY, err ); MSQ_ERRFALSE(err);
// zero gradient
grad_out.clear();
grad_out.resize( pd.num_free_vertices(), Vector3D(0.0,0.0,0.0) );
// calculate OF value and gradient for just the patch
std::vector<size_t>::const_iterator i;
double value, working_sum = 0.0;
const double f = qm->get_negate_flag() * mPower.value();
for (i = qmHandles.begin(); i != qmHandles.end(); ++i)
{
bool result = qm->evaluate_with_gradient( pd, *i, value, mIndices, mGradient, err );
if (MSQ_CHKERR(err) || !result)
return false;
if (fabs(value) < DBL_EPSILON)
continue;
const double r1 = mPowerMinus1.raise( value );
const double qmp = r1 * value;
working_sum += qmp;
value = f * r1;
for (size_t j = 0; j < mIndices.size(); ++j) {
mGradient[j] *= value;
grad_out[mIndices[j]] += mGradient[j];
}
}
// get overall OF value, update member data, etc.
size_t global_count;
value_out = qm->get_negate_flag()
* get_value( working_sum, qmHandles.size(), type, global_count );
const double inv_n = 1.0 / global_count;
std::vector<Vector3D>::iterator g;
for (g = grad_out.begin(); g != grad_out.end(); ++g)
*g *= inv_n;
return true;
}