public TensorLikeDataAdapter(DataAdapterArgs args)
{
this.args = args;
_process_tensorlike();
num_samples = args.X.shape[0];
var batch_size = args.BatchSize == -1 ? 32 : args.BatchSize;
_batch_size = batch_size;
_size = Convert.ToInt32(Math.Ceiling(num_samples / (batch_size + 0.0f)));
num_full_batches = num_samples / batch_size;
_partial_batch_size = num_samples % batch_size;
var indices_dataset = tf.data.Dataset.range(1);
indices_dataset = indices_dataset.repeat(args.Epochs);
indices_dataset = indices_dataset.map(permutation).prefetch(1);
indices_dataset = indices_dataset.flat_map(slice_batch_indices);
var inputs = new Tensors();
if (args.X != null)
{
inputs.Add(args.X);
}
if (args.Y != null)
{
inputs.Add(args.Y);
}
dataset = slice_inputs(indices_dataset, inputs);
}
public DatasetAdapter(DataAdapterArgs args)
{
this.args = args;
dataset = args.Dataset;
}
