using System.Threading;
using Tensorflow.Common.Types;
using static Tensorflow.Binding;
namespace Tensorflow.Keras.Engine
{
public partial class Layer
{
///
/// Wraps `call`, applying pre- and post-processing steps.
///
///
///
///
///
public virtual Tensors Apply(Tensors inputs, Tensors states = null, bool training = false, IOptionalArgs? optional_args = null)
{
if (callContext.Value == null)
callContext.Value = new CallContext();
if (_in_functional_construction_mode(inputs))
return FunctionalConstructionCall(inputs);
var eager = tf.executing_eagerly();
using var ctxManager = CallContext.enter(build_graph: false);
string nameScope = eager ? name : _name_scope();
var scope = ops.name_scope(nameScope);
scope.__enter__();
if (!built)
MaybeBuild(inputs);
<<<<<<< HEAD
<<<<<<< HEAD
var outputs = Call(inputs, state: states, training: training);
=======
var outputs = Call(inputs, initial_state: state, training: training);
>>>>>>> master
=======
var outputs = Call(inputs, state: states, training: training);
>>>>>>> 90a65d7d98b92f26574ac32392ed802a57d4d2c8
// memory leak
// _set_connectivity_metadata_(inputs, outputs);
_handle_activity_regularization(inputs, outputs);
_set_mask_metadata(inputs, outputs, null);
scope.__exit__();
return outputs;
}
// TODO(Rinne): remove it and completely fix issue 1084
[Obsolete]
private bool _enforce_layer_construction = false;
[Obsolete]
internal void enforce_layer_construction()
{
_enforce_layer_construction = true;
}
[Obsolete]
internal void unset_layer_construction()
{
_enforce_layer_construction = false;
}
}
}