public DataHandler(DataHandlerArgs args)
{
this.args = args;
var adapter_cls = new TensorLikeDataAdapter(new TensorLikeDataAdapterArgs {
});
}
public DataHandler(DataHandlerArgs args)
{
this.args = args;
if (args.StepsPerExecution == null)
{
_steps_per_execution = tf.Variable(1);
_steps_per_execution_value = 1;
}
else
{
_steps_per_execution = args.StepsPerExecution;
_steps_per_execution_value = args.StepsPerExecution.numpy();
}
_adapter = new TensorLikeDataAdapter(new TensorLikeDataAdapterArgs
{
X = args.X,
Y = args.Y,
BatchSize = args.BatchSize,
Steps = args.StepsPerEpoch,
Epochs = args.Epochs - args.InitialEpoch,
Shuffle = args.Shuffle,
MaxQueueSize = args.MaxQueueSize,
Worker = args.Workers,
UseMultiprocessing = args.UseMultiprocessing,
Model = args.Model
});
_dataset = _adapter.GetDataset();
_inferred_steps = _infer_steps(args.StepsPerEpoch, _dataset);
_current_step = 0;
_step_increment = args.StepsPerExecution.numpy() - 1;
_insufficient_data = false;
}
public DataHandler(DataHandlerArgs args)
{
}
