def test_create_log_mel_features(self, art_warning, audio_batch_padded): try: test_input, _ = audio_batch_padded lingvo = TensorFlowLingvoASR() features_tf = lingvo._create_log_mel_features(lingvo._x_padded) features = lingvo._sess.run(features_tf, {lingvo._x_padded: test_input}) assert features.shape[2] == 80 assert len(features.shape) == 4 except ARTTestException as e: art_warning(e)
def test_create_log_mel_features(self, art_warning, audio_batch_padded): try: import tensorflow.compat.v1 as tf1 tf1.reset_default_graph() test_input, _ = audio_batch_padded lingvo = TensorFlowLingvoASR() features_tf = lingvo._create_log_mel_features(lingvo._x_padded) features = lingvo._sess.run(features_tf, {lingvo._x_padded: test_input}) assert features.shape[2] == 80 assert len(features.shape) == 4 except ARTTestException as e: art_warning(e)