dd07a4c41efed22afb5780cd584555cbff141c74,keras/engine/training_arrays.py,,fit_loop,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,20

Before Change

                val_outs = test_loop(model, val_f, val_ins,
                                     steps=validation_steps,
                                     verbose=0)
                if not isinstance(val_outs, list):
                    val_outs = [val_outs]
                // Same labels assumed.
                for l, o in zip(out_labels, val_outs):
                    epoch_logs["val_" + l] = o
        else:
            if shuffle == "batch":

After Change

                val_outs = test_loop(model, val_f, val_ins,
                                     steps=validation_steps,
                                     verbose=0)
                val_outs = to_list(val_outs)
                // Same labels assumed.
                for l, o in zip(out_labels, val_outs):
                    epoch_logs["val_" + l] = o
        else:

Instances