This class carries the output of the Neural Network of TrigMultiVarHypo.
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#include <TrigRNNOutput.h>
This class carries the output of the Neural Network of TrigMultiVarHypo.
Definition at line 21 of file Trigger/TrigEvent/TrigCaloEvent/TrigCaloEvent/TrigRNNOutput.h.
◆ TrigRNNOutput() [1/2]
| TrigRNNOutput::TrigRNNOutput |
( |
| ) |
|
Class default constructor.
Definition at line 9 of file TrigRNNOutput.cxx.
11}
std::vector< float > m_output
ElementLink< TrigEMClusterContainer > m_cluster
◆ TrigRNNOutput() [2/2]
| TrigRNNOutput::TrigRNNOutput |
( |
const std::vector< float > & | output | ) |
|
Class constructor.
- Parameters
-
| output | The neural network output. |
Definition at line 13 of file TrigRNNOutput.cxx.
15}
std::vector< float > & output()
Acessor methods.
◆ at() [1/2]
| float & TrigRNNOutput::at |
( |
const unsigned int | i | ) |
|
◆ at() [2/2]
| const float & TrigRNNOutput::at |
( |
const unsigned int | i | ) |
const |
◆ cluster()
◆ clusterLink()
◆ isValid()
| bool TrigRNNOutput::isValid |
( |
| ) |
const |
◆ operator[]() [1/2]
| float & TrigRNNOutput::operator[] |
( |
const unsigned int | i | ) |
|
◆ operator[]() [2/2]
| const float & TrigRNNOutput::operator[] |
( |
const unsigned int | i | ) |
const |
◆ output() [1/3]
| std::vector< float > & TrigRNNOutput::output |
( |
| ) |
|
◆ output() [2/3]
| const std::vector< float > & TrigRNNOutput::output |
( |
| ) |
const |
◆ output() [3/3]
| void TrigRNNOutput::output |
( |
const std::vector< float > & | o | ) |
|
◆ setCluster() [1/2]
◆ setCluster() [2/2]
Definition at line 53 of file TrigRNNOutput.cxx.
53 {
54 if (cluster_idx < cluster_con.
size()) {
55 m_cluster.toIndexedElement(cluster_con, cluster_idx);
58 }
59 } else {
61 }
62}
size_type size() const noexcept
Returns the number of elements in the collection.
◆ size()
| unsigned int TrigRNNOutput::size |
( |
| ) |
const |
◆ TrigRNNOutputConverterBase
◆ m_cluster
◆ m_output
| std::vector<float> TrigRNNOutput::m_output |
|
private |
The documentation for this class was generated from the following files: