private void errorFn(IntPtr colVal)
{
if (OnErrorFunction == null)
{
return;
}
List <DisposableNamedOnnxValue> rgVal = new List <DisposableNamedOnnxValue>();
List <string> rgNames = new List <string>();
OrtValueCollection col = new OrtValueCollection(colVal);
int nCount = col.Count;
for (int i = 0; i < nCount; i++)
{
string strName;
OrtValue val = col.GetAt(i, out strName);
rgVal.Add(DisposableNamedOnnxValue.CreateTensorFromOnnxValue(strName, val));
}
OnErrorFunction(this, new ErrorFunctionArgs(rgVal));
// Clean-up the data used during this batch.
foreach (IDisposable iDispose in m_rgCleanUpList)
{
iDispose.Dispose();
}
m_rgCleanUpList.Clear();
}
private List<KeyValuePair<string, List<int>>> getTensorDefs(OrtValueCollection col)
{
List<KeyValuePair<string, List<int>>> rgDefs = new List<KeyValuePair<string, List<int>>>();
int nCount = col.Count;
for (int i = 0; i < nCount; i++)
{
string strName;
OrtValue val = col.GetAt(i, out strName);
DisposableNamedOnnxValue shape = DisposableNamedOnnxValue.CreateTensorFromOnnxValue(strName, val);
Tensor<long> shapet = shape.AsTensor<Int64>();
List<int> rgShape = new List<int>();
for (int j = 0; j < shapet.dimensions[0]; j++)
{
long nDim = shapet.GetValue(j);
rgShape.Add((int)nDim);
}
rgDefs.Add(new KeyValuePair<string, List<int>>(strName, rgShape));
}
return rgDefs;
}
