Searched refs:training_endpoints (Results 1 – 1 of 1) sorted by relevance
1418 def prepare_sample_weight_modes(training_endpoints, sample_weight_mode): argument1432 [e.output_name for e in training_endpoints])1434 for end_point in training_endpoints:1443 if len(sample_weight_mode) != len(training_endpoints):1446 'The model has ' + str(len(training_endpoints)) +1449 for mode, endpoint in zip(sample_weight_mode, training_endpoints):1453 for endpoint in training_endpoints:1500 def prepare_loss_weights(training_endpoints, loss_weights=None): argument1520 for e in training_endpoints:1525 [e.output_name for e in training_endpoints])[all …]