Repository: tensorflow
Issue: `tf.data.Dataset.prefetch()` error with basic usage
Labels: stat:awaiting tensorflower,type:bug,comp:data,regression issue,2.17

### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

source

### TensorFlow version

2.17.0

### Custom code

No

### 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?

The most basic usage of `tf.data.Dataset.prefetch()` raises an error. 

The `buffer_size` argument is documented as requiring a int64 tensor:

> `buffer_size` 	
> A [tf.int64](https://www.tensorflow.org/api_docs/python/tf#int64) scalar [tf.Tensor](https://www.tensorflow.org/api_docs/python/tf/Tensor), representing the maximum number of elements that will be buffered when prefetching. If the value [tf.data.AUTOTUNE](https://www.tensorflow.org/api_docs/python/tf/data#AUTOTUNE) is used, then the buffer size is dynamically tuned.

https://www.tensorflow.org/api_docs/python/tf/data/Dataset#prefetch

Probably related to https://github.com/tensorflow/tensorflow/issues/71744, The "eager fallback" codepath is broken.

### Standalone code to reproduce the issue

```shell
import numpy as np
import tensorflow as tf

x = np.arange(5)
y = np.arange(5)

ds = tf.data.Dataset.from_tensor_slices((x, y)).batch(2)

ds.prefetch(tf.constant(1, dtype = 'int64'))
```


### Relevant log output

```shell
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/home/tomasz/.virtualenvs/r-keras/lib/python3.11/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 1259, in prefetch
    return prefetch_op._prefetch(  # pylint: disable=protected-access
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/tomasz/.virtualenvs/r-keras/lib/python3.11/site-packages/tensorflow/python/data/ops/prefetch_op.py", line 28, in _prefetch
    return _PrefetchDataset(input_dataset, buffer_size, name=name)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/tomasz/.virtualenvs/r-keras/lib/python3.11/site-packages/tensorflow/python/data/ops/prefetch_op.py", line 46, in __init__
    variant_tensor = gen_dataset_ops.prefetch_dataset(
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/tomasz/.virtualenvs/r-keras/lib/python3.11/site-packages/tensorflow/python/ops/gen_dataset_ops.py", line 6001, in prefetch_dataset
    return prefetch_dataset_eager_fallback(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/tomasz/.virtualenvs/r-keras/lib/python3.11/site-packages/tensorflow/python/ops/gen_dataset_ops.py", line 6072, in prefetch_dataset_eager_fallback
    legacy_autotune = _execute.make_bool(legacy_autotune, "legacy_autotune")
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/tomasz/.virtualenvs/r-keras/lib/python3.11/site-packages/tensorflow/python/eager/execute.py", line 172, in make_bool
    raise TypeError("Expected bool for argument '%s' not %s." %
TypeError: Expected bool for argument 'legacy_autotune' not <tf.Tensor: shape=(), dtype=bool, numpy=False>.
```