public void StringArrayConverting()
{
var nd = np.array(strArray);
nd.Should().BeOfType <char>()
.And.BeShaped(28)
.And.BeOfValues(50, 32, 54, 32, 49, 53, 58, 72, 101, 108, 108, 111, 44, 32, 83, 99, 105, 83, 104, 97, 114, 112, 32, 84, 101, 97, 109, 33);
NDArray.AsStringArray(nd).SequenceEqual(strArray);
}
public string save(Session sess,
string save_path,
int global_step = -1,
string latest_filename = "",
string meta_graph_suffix = "meta",
bool write_meta_graph = true,
bool write_state = true,
bool strip_default_attrs = false,
bool save_debug_info = false)
{
if (string.IsNullOrEmpty(latest_filename))
{
latest_filename = "checkpoint";
}
NDArray[] model_checkpoint_path = null;
string checkpoint_file = "";
if (global_step > 0)
{
checkpoint_file = $"{save_path}-{global_step}";
}
else
{
checkpoint_file = save_path;
}
var save_path_parent = Path.GetDirectoryName(save_path);
if (!_is_empty)
{
model_checkpoint_path = sess.run(_saver_def.SaveTensorName,
(_saver_def.FilenameTensorName, checkpoint_file));
if (write_state)
{
var path = NDArray.AsStringArray(model_checkpoint_path[0])[0];
_RecordLastCheckpoint(path);
checkpoint_management.update_checkpoint_state_internal(
save_dir: save_path_parent,
model_checkpoint_path: path,
all_model_checkpoint_paths: _last_checkpoints.Keys.Select(x => x).ToList(),
latest_filename: latest_filename,
save_relative_paths: _save_relative_paths);
_MaybeDeleteOldCheckpoints(meta_graph_suffix: meta_graph_suffix);
}
}
if (write_meta_graph)
{
string meta_graph_filename = checkpoint_management.meta_graph_filename(checkpoint_file, meta_graph_suffix: meta_graph_suffix);
export_meta_graph(meta_graph_filename, strip_default_attrs: strip_default_attrs, save_debug_info: save_debug_info);
}
return(_is_empty ? string.Empty : NDArray.AsStringArray(model_checkpoint_path[0])[0]);
}
public bool Run()
{
// Eager model is enabled by default.
tf.enable_eager_execution();
/* Create a Constant op
* The op is added as a node to the default graph.
*
* The value returned by the constructor represents the output
* of the Constant op. */
var str = "Hello, TensorFlow.NET!";
var hello = tf.constant(str);
// tf.Tensor: shape=(), dtype=string, numpy=b'Hello, TensorFlow.NET!'
print(hello);
var tensor = NDArray.AsStringArray(hello.numpy())[0];
return(str == tensor);
}