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# Copyright (c) 2023 Amphion. | |
# | |
# This source code is licensed under the MIT license found in the | |
# LICENSE file in the root directory of this source tree. | |
import torch | |
def check_nan(logger, loss, y_pred, y_gt): | |
if torch.any(torch.isnan(loss)): | |
logger.info("out has nan: ", torch.any(torch.isnan(y_pred))) | |
logger.info("y_gt has nan: ", torch.any(torch.isnan(y_gt))) | |
logger.info("out: ", y_pred) | |
logger.info("y_gt: ", y_gt) | |
logger.info("loss = {:.4f}\n".format(loss.item())) | |
exit() | |