module 'keras.src.backend' has no attribute 'convert_to_numpy'
This happened to me when I tried to fit the model. I don't have any real solutions for this but if it helps, restarting the kernel has fixed it for me. Hi **@salmankdurrani** ,

- I tried to run your code on colab using TF v2.16.1 and i am not facing any issue. Please find the [gist](https://colab.sandbox.google.com/gist/Venkat6871/7c66e11de2f4d08ba9a4a58a2aa36787/66966_2-16-1.ipynb) here for reference.
- Here i imported the keras from tensorflow, It works fine for me.
```
import tensorflow.keras as keras

```
Thank you! 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. Thank you, I don't know why, but it did not work for me. I tried other ways to do it.  I am still facing a similar issue even with tf version 2.16.1, which version of keras should i have? i was facing the same issue and try to fix the issue from several website but did not find the right one and then at the end i tried chat-gpt and finally it worked for me. 

here is what GPT told me :-

Update TensorFlow and Keras: Make sure you are using compatible versions of TensorFlow and Keras. You can update these packages using pip:


pip install --upgrade tensorflow keras


Use the correct method: If convert_to_numpy is not available, you might need to use an alternative method to convert your tensors to numpy arrays. You can use the numpy() method for TensorFlow tensors.


import tensorflow as tf

# Create a TensorFlow tensor
tensor = tf.constant([1, 2, 3])

# Convert the tensor to a numpy array
numpy_array = tensor.numpy()

print(numpy_array)  # Output: [1 2 3]

 Hi **@salmankdurrani** ,
- Could you please confirm if this issue is resolved for you ? Please feel free to close the issue if it is resolved ?


Thank you!

### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

source

### TensorFlow version

2.16.1

### 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 behavior?

`
def get_sequence_model():
    class_vocab = label_processor.get_vocabulary()

    frame_features_input = keras.Input((MAX_SEQ_LENGTH, NUM_FEATURES))
    mask_input = keras.Input((MAX_SEQ_LENGTH,), dtype="bool")

    # Refer to the following tutorial to understand the significance of using `mask`:
    # https://keras.io/api/layers/recurrent_layers/gru/
    x = keras.layers.GRU(16, return_sequences=True)(
        frame_features_input, mask=mask_input
    )
    x = keras.layers.GRU(8)(x)
    x = keras.layers.Dropout(0.4)(x)
    x = keras.layers.Dense(8, activation="relu")(x)
    output = keras.layers.Dense(len(class_vocab), activation="softmax")(x)

    rnn_model = keras.Model([frame_features_input, mask_input], output)

    rnn_model.compile(
        loss="sparse_categorical_crossentropy", optimizer="adam", metrics=["accuracy"]
    )
    return rnn_model

  def run_experiment():
    filepath = "/tmp/video_classifier/ckpt.weights.h5"
    checkpoint = keras.callbacks.ModelCheckpoint(
        filepath, save_weights_only=True, save_best_only=True, verbose=1
    )

    seq_model = get_sequence_model()
    history = seq_model.fit(
        [train_data[0], train_data[1]],
        train_labels,
        validation_split=0.3,
        epochs=EPOCHS,
        callbacks=[checkpoint],
    )

    seq_model.load_weights(filepath)
    _, accuracy = seq_model.evaluate([test_data[0], test_data[1]], test_labels)
    print(f"Test accuracy: {round(accuracy * 100, 2)}%")

    return history, seq_model


_, sequence_model = run_experiment()

`

### Standalone code to reproduce the issue

```shell
When I run the code, it gives me this error as AttributeError: module 'keras.src.backend' has no attribute 'convert_to_numpy'
```


### Relevant log output

```shell
AttributeError: module 'keras.src.backend' has no attribute 'convert_to_numpy'
```
