experimental_list_devices
时间: 2023-06-07 17:11:45 浏览: 50
这是一个TensorFlow的函数,用于列出可用的物理和逻辑设备。您可以通过运行以下代码来尝试:
```
import tensorflow as tf
physical_devices = tf.config.experimental.list_physical_devices()
print("可用物理设备:", len(physical_devices))
logical_devices = tf.config.experimental.list_logical_devices()
print("可用逻辑设备:", len(logical_devices))
```
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.
tf.config.experimental.list_physical_devices
这是 TensorFlow 的一个函数,用于列出物理设备列表。具体来说,它返回一个列表,其中包含计算设备(如 CPU 和 GPU)的信息。这个函数可以用来查看计算机上可用的设备,以及它们的属性,例如 GPU 设备的显存大小。下面是一个示例代码:
```
import tensorflow as tf
devices = tf.config.experimental.list_physical_devices()
for device in devices:
print(device)
```
此外,如果你只想查看 GPU 设备列表,可以使用 `tf.config.experimental.list_physical_devices('GPU')`。