module 'tensorflow_core._api.v2.config' has no attribute 'list_physical_devices'
时间: 2023-10-11 14:11:56 浏览: 50
This error occurs when you are trying to use the `list_physical_devices` function from the `tensorflow_core._api.v2.config` module, but this function is not available in the module.
To fix this error, you can try using the `list_physical_devices` function from the `tensorflow` module instead. Here's an example:
```
import tensorflow as tf
# get list of all available physical devices
physical_devices = tf.config.list_physical_devices()
# print the list of physical devices
print(physical_devices)
```
This should print a list of all the physical devices available on your system that can be used for running TensorFlow computations.
相关问题
AttributeError: module 'tensorflow_core._api.v2.config' has no attribute 'experimental_list_devices'
This error occurs when you try to use the method `experimental_list_devices()` in TensorFlow 2 but it is not available in the module `tensorflow_core._api.v2.config`. This method was experimental and has been removed in TensorFlow 2.
To solve this error, you can use the method `list_physical_devices()` instead. Here's an example:
```python
import tensorflow as tf
physical_devices = tf.config.list_physical_devices('GPU')
print("Number of GPUs available: ", len(physical_devices))
for device in physical_devices:
print(device)
```
This will print the number of available GPUs and their names. You can also use the method `list_logical_devices()` to get a list of all logical devices available.
AttributeError: module 'tensorflow_core._api.v2.train' has no attribute 'Optimizer'
AttributeError: module 'tensorflow_core._api.v2.train' has no attribute 'Optimizer' 是一个错误提示,意味着在tensorflow_core._api.v2.train模块中没有名为'Optimizer'的属性。
这个错误通常发生在使用旧版本的TensorFlow代码时,因为在较新的TensorFlow版本中,Optimizer类已经被移动到了tensorflow.keras.optimizers模块中。
要解决这个问题,你可以尝试以下几种方法:
1. 检查你的TensorFlow版本是否较旧。如果是,请升级到最新版本,以确保你使用的是最新的API。
2. 如果你无法升级TensorFlow版本,可以尝试将代码中的'tensorflow_core._api.v2.train.Optimizer'替换为'tensorflow.keras.optimizers.Optimizer'。
3. 如果你的代码中没有直接使用Optimizer类,而是通过其他方式引用了tensorflow_core._api.v2.train模块,那么你可能需要检查你的代码逻辑,并确保正确导入了所需的模块。
希望以上信息对你有帮助!如果还有其他问题,请继续提问。