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Replace remaining malloc / free in training code

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Signed-off-by: Stefan Weil <sw@weilnetz.de>
This commit is contained in:
Stefan Weil 2021-03-29 11:03:12 +02:00
parent 7c1bea505a
commit 3790413cc5
1 changed files with 7 additions and 9 deletions
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16
src/training/common/commontraining.cpp
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@ -398,7 +398,7 @@ void ReadTrainingSamples(const FEATURE_DEFS_STRUCT &feature_definitions, const c
delete char_desc->FeatureSets[i];
}
}
free(char_desc);
delete char_desc;
}
} // ReadTrainingSamples
@ -454,8 +454,6 @@ void FreeLabeledList(LABELEDLIST LabeledList) {
CLUSTERER *SetUpForClustering(const FEATURE_DEFS_STRUCT &FeatureDefs, LABELEDLIST char_sample,
const char *program_feature_type) {
uint16_t N;
int i, j;
float *Sample = nullptr;
CLUSTERER *Clusterer;
int32_t CharID;
LIST FeatureList = nullptr;
@ -467,20 +465,20 @@ CLUSTERER *SetUpForClustering(const FEATURE_DEFS_STRUCT &FeatureDefs, LABELEDLIS
FeatureList = char_sample->List;
CharID = 0;
std::vector<float> Sample;
iterate(FeatureList) {
FeatureSet = reinterpret_cast<FEATURE_SET> first_node(FeatureList);
for (i = 0; i < FeatureSet->MaxNumFeatures; i++) {
if (Sample == nullptr) {
Sample = static_cast<float *>(malloc(N * sizeof(float)));
for (int i = 0; i < FeatureSet->MaxNumFeatures; i++) {
if (Sample.empty()) {
Sample.resize(N);
}
for (j = 0; j < N; j++) {
for (int j = 0; j < N; j++) {
Sample[j] = FeatureSet->Features[i]->Params[j];
}
MakeSample(Clusterer, Sample, CharID);
MakeSample(Clusterer, &Sample[0], CharID);
}
CharID++;
}
free(Sample);
return Clusterer;
} /* SetUpForClustering */