AdamOptimizer() takes no arguments

这个错误提示通常表示在使用 TensorFlow 中的 AdamOptimizer 时，没有正确地为其提供所需的参数。AdamOptimizer() 函数需要至少一个参数——学习速率（learning rate），例如：AdamOptimizer(learning_rate=0.001)。如果你没有提供该参数，就会出现这个错误。

相关问题

Solution() takes no arguments

The error "Solution() takes no arguments" typically occurs when you try to pass an argument to a class that does not accept any arguments in its constructor.

Here's an example code that could generate this error:

class Solution:
    def __init__(self):
        self.score = 0
    
    def update_score(self, new_score):
        self.score = new_score

solution = Solution(10) # this will raise "Solution() takes no arguments" error

In the above code, the `Solution` class does not accept any arguments in its constructor, yet we are trying to pass an argument of `10` when we create an instance of the class. To fix this error, we need to remove the argument:

class Solution:
    def __init__(self):
        self.score = 0
    
    def update_score(self, new_score):
        self.score = new_score

solution = Solution() # no error

Now, we can create an instance of the `Solution` class without any arguments.

Bar() takes no arguments

The error message "Bar() takes no arguments" means that you are trying to call a function named "Bar" with one or more arguments, but the function definition does not accept any arguments.

For example:

def Bar():
    print("Hello, World!")
    
Bar("John")  # This will raise the error "Bar() takes no arguments"

To fix this error, you need to either remove the arguments from the function call, or modify the function definition to accept the arguments.

For example:

def Bar(name):
    print("Hello, " + name + "!")
    
Bar("John")  # This will print "Hello, John!"