{

public int Priority => 100;

public bool Enabled => false;

public string Name => "Meta Graph";

public bool Run()

{

ImportMetaGraph("my-save-dir/");

return false;

}

private void ImportMetaGraph(string dir)

{

with(tf.Session(), sess =>

{

var new_saver = tf.train.import_meta_graph(dir + "my-model-10000.meta");

new_saver.restore(sess, dir + "my-model-10000");

var labels = tf.constant(0, dtype: tf.int32, shape: new int[] { 100 }, name: "labels");

var batch_size = tf.size(labels);

var logits = (tf.get_collection("logits") as List<ITensorOrOperation>)[0] as Tensor;

var loss = tf.losses.sparse_softmax_cross_entropy(labels: labels,

logits: logits);

});

}

public void PrepareData()

{

}