raise NonExistingLayerError("InputLayer(x, name='a') --> Input(name='a')(x)" + __log__) tensorlayer.layers.deprecated.NonExistingLayerError: InputLayer(x, name='a') --> Input(name='a')(x) Hint: 1) downgrade TF and TL from version 2.x to 1.x. 2) check the documentation of TF and TL version 2.x

这个错误提示是由TensorLayer库中的一个函数抛出的，它表示在使用TensorLayer库中的某个函数时出现了错误。

从错误信息中可以看出，这个错误是因为在使用TensorLayer的InputLayer函数时，给定的参数不正确导致的。根据提示，你可以尝试通过以下方法解决这个问题：

1. 降级 TensorFlow 和 TensorLayer 版本，从 2.x 降至 1.x 版本。
2. 检查 TensorFlow 和 TensorLayer 版本 2.x 的文档，查看函数参数的正确用法。

你可以根据你的具体情况选择其中一种解决方法来解决这个问题。

相关问题

raise ValueError("Input must be >= 2-d.") ValueError: Input must be >= 2-d.

This error message indicates that the input provided to a function or method should be a matrix or an array with at least two dimensions. In other words, the input should have multiple rows and columns, rather than being a one-dimensional list or array.

To fix this error, you can modify the input so that it has at least two dimensions. For example, if you have a list of numbers, you can convert it to a 2D array using numpy:

import numpy as np

my_list = [1, 2, 3, 4, 5]
my_array = np.array(my_list).reshape(-1, 1)

This will create a 2D array with one column and five rows. If you need a different shape, you can adjust the reshape arguments accordingly. Once you have a 2D array, you can pass it to the function or method without encountering the ValueError.

data=[x+[0] for x in df_li]

As an AI language model, I do not have access to the data or context of this code snippet. However, based on the syntax, it looks like the code is trying to extract the first element of each list in a pandas DataFrame called "df_li" and store it in a list called "data".

The code uses a list comprehension, where it iterates over each list in "df_li" using the variable "x" and extracts the first element using the indexing notation "[0]". The extracted first element is then appended to a new list called "data".

Note that this assumes that all the elements in "df_li" are lists and have at least one element. If there are any empty lists or lists with no first element, the code may raise an error.