1336cdb14ff03de754aec6899794742ca91057b2,keras/engine/training_arrays.py,,fit_loop,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,21

Before Change

    // it"s possible to callback a different model than itself
    // (used by Sequential models)
    if hasattr(model, "callback_model") and model.callback_model:
        callback_model = model.callback_model
    else:
        callback_model = model

    callbacks.set_model(callback_model)
    callbacks.set_params({
        "batch_size": batch_size,
        "epochs": epochs,

After Change

        epoch_logs = {}
        if steps_per_epoch is not None:
            for step_index in range(steps_per_epoch):
                batch_logs = {"batch": step_index, "size": 1}
                callbacks._call_batch_hook("train", "begin", step_index, batch_logs)
                outs = fit_function(fit_inputs)

                outs = to_list(outs)

Instances