Reputation: 1
When I tried to run the code below, I got:
AttributeError: module 'tensorflow_core.keras.utils' has no attribute 'audio_dataset_from_directory'
the code:
import tensorflow as tf
BATCH_SIZE = 32
OUTPUT_SEQUENCE_LENGTH = 16000
TRAIN_DATASET = '/dataset/cats_dogs/train'
VALIDATION_DATASET = '/dataset/cats_dogs/test'
class AudioDataLoader():
def __init__(self):
pass
def get_training_dataset_and_class_names(self):
train_ds = tf.keras.utils.audio_dataset_from_directory(
TRAIN_DATASET,
batch_size=BATCH_SIZE,
output_sequence_length=OUTPUT_SEQUENCE_LENGTH,
seed=1
)
dataloader = AudioDataLoader()
train_ds, class_names = dataloader.get_training_dataset_and_class_names()
Actuall, this code is from Kaggle: https://www.kaggle.com/code/ryanburnsworth/audio-classification-dogs-vs-cats/notebook
But when I tried to run the code locally, I took mistake.
My python version is 3.7, and tensorflow == 2.1.0
, keras == 2.3.1
What I have done is below:
tensorflow == 2.2.0
, and I got the same error. So I uninstall the tensorflow, and install tensorflow == 2.1.0
. as you can see, it didn't work.tf.keras.utils.audio_dataset_from_directory
with tf.python.keras.preprocessing.audio_dataset_from_directory
, then I got:
AttributeError: module 'tensorflow' has no attribute 'python'
Upvotes: 0
Views: 25