Tensor step_function(OwnedIterator iterator)
{
var data = iterator.next();
var outputs = train_step(data[0], data[1]);
tf_with(ops.control_dependencies(new object[0]), ctl => _train_counter.assign_add(1));
throw new NotImplementedException("");
}
Tensors run_predict_step(OwnedIterator iterator)
{
var data = iterator.next();
var outputs = predict_step(data[0]);
tf_with(ops.control_dependencies(new object[0]), ctl => _predict_counter.assign_add(1));
return(outputs);
}
IEnumerable <(string, Tensor)> test_function(OwnedIterator iterator)
{
var data = iterator.next();
var outputs = test_step(data[0], data[1]);
tf_with(ops.control_dependencies(new object[0]), ctl => _test_counter.assign_add(1));
return(outputs);
}
public IEnumerable <(int, OwnedIterator)> enumerate_epochs()
{
using var ownedIterator = new OwnedIterator(_dataset);
foreach (var epoch in range(_initial_epoch, _epochs))
{
if (_insufficient_data)
{
break;
}
yield return(epoch, ownedIterator);
}
}
public IEnumerable <(int, OwnedIterator)> enumerate_epochs()
{
foreach (var epoch in range(_initial_epoch, _epochs))
{
if (_insufficient_data)
{
break;
}
using var data_iterator = new OwnedIterator(_dataset);
yield return(epoch, data_iterator);
}
// _adapter.on_epoch_end()
}
public IEnumerable <(int, OwnedIterator)> enumerate_epochs()
{
var data_iterator = new OwnedIterator(_dataset);
foreach (var epoch in range(_initial_epoch, _epochs))
{
if (_insufficient_data)
{
break;
}
if (_adapter.ShouldRecreateIterator())
{
data_iterator = new OwnedIterator(_dataset);
}
yield return(epoch, data_iterator);
}
}
