'Tensor' object has no attribute 'copy'
时间: 2023-09-17 07:10:21 浏览: 139
This error message typically occurs when you try to use the `copy()` method on a TensorFlow tensor object. TensorFlow tensors do not have a `copy()` method, so calling it will result in an error.
To create a copy of a TensorFlow tensor, you can use the `tf.identity()` function. For example, if you have a tensor `x`, you can create a copy of it as follows:
```
import tensorflow as tf
x = tf.constant([1, 2, 3])
y = tf.identity(x)
```
Now `y` is a copy of `x`. You can verify this by printing the values of both tensors:
```
print(x) # output: <tf.Tensor: shape=(3,), dtype=int32, numpy=array([1, 2, 3], dtype=int32)>
print(y) # output: <tf.Tensor: shape=(3,), dtype=int32, numpy=array([1, 2, 3], dtype=int32)>
```
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