when identifier is None, tf.keras.initializers.get works
@cheyennee,
In the case that the **identifier** is a class, this method will return a new instance of the class by its constructor.



NoneType is the type for the None object, which is an object that indicates no value. None is the return value of functions that "don't return anything". It is also a common default return value for functions that search for something and may or may not find it;
Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/62716fbe12937cc867d1a8232fa783d7/untitled1140.ipynb). Thank you! 
I think the Issue in above code are
# 1. Identifier is assigned with None value but get methods takes valid initializer as its argument in the string format. 
# 2. Extra comman which is at get method after identifier causing syntax error because get method does not take any extra argument after identifier.
And correct code might be this 

import tensorflow as tf
results={}
try:
  identifier = "glorot_uniform"
  results["res"] = tf.keras.initializers.get(identifier=identifier,)
except Exception as e:
  results["err"] = "Error:"+str(e)
print(results)
 This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
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<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Bug

### Have you reproduced the bug with TF nightly?

Yes

### Source

source

### Tensorflow Version

tf 2.12.0

### Custom Code

Yes

### OS Platform and Distribution

_No response_

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/Compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current Behaviour?

Not sure if this is an issue. According to [doc](https://www.tensorflow.org/api_docs/python/tf/keras/initializers/get), the `identifier` should be string or dict. And when it is not a supported type, the API will throw an ValueError. But in following snippet  code, when `identifier` is None, the API works.

### Standalone code to reproduce the issue

```shell
import tensorflow as tf
results={}
try:
  identifier = None
  results["res"] = tf.keras.initializers.get(identifier=identifier,)
except Exception as e:
  results["err"] = "Error:"+str(e)
print(results)
#results={'res': None}
```


### Relevant log output

_No response_</details>