您可以使用tf.py_func包装load_audio_file()。
import tensorflow as tf
tf.enable_eager_execution()
def load_audio_file(file_path):
# you should decode bytes type to string type
print("file_path: ",bytes.decode(file_path),type(bytes.decode(file_path)))
return file_path
train_dataset = tf.data.Dataset.list_files('clean_4s_val/*.wav')
train_dataset = train_dataset.map(lambda x: tf.py_func(load_audio_file, [x], [tf.string]))
for one_element in train_dataset:
print(one_element)
file_path: clean_4s_val/1.wav <class 'str'>
(<tf.Tensor: id=32, shape=(), dtype=string, numpy=b'clean_4s_val/1.wav'>,)
file_path: clean_4s_val/3.wav <class 'str'>
(<tf.Tensor: id=34, shape=(), dtype=string, numpy=b'clean_4s_val/3.wav'>,)
file_path: clean_4s_val/2.wav <class 'str'>
(<tf.Tensor: id=36, shape=(), dtype=string, numpy=b'clean_4s_val/2.wav'>,)
即使将替换tf.py_func为tf.py_function，上述解决方案也不适用于TF 2（已在2.2.0中测试）。
InvalidArgumentError: TypeError: descriptor 'decode' requires a 'bytes' object but received a 'tensorflow.python.framework.ops.EagerTensor'
要使其在TF 2中工作，请进行以下更改：
602392714
清零编程群