A hang issue in tf.raw_ops.Unstage
@sachinprasadhs  I was able to replicate this issue on colab, please find the gist [here](https://colab.research.google.com/gist/sushreebarsa/4c93b168372254d339d217673f424593/62513.ipynb) for reference. Thank you! Even in eager mode also, I was able to observe this behavior, it's getting stuck at `unstage_op` 

```
import tensorflow as tf
data = tf.random.uniform(shape=[3, 2])
stage_op = tf.raw_ops.Stage(values=[data])
unstage_op = tf.raw_ops.Unstage(dtypes=[data.dtype])
``` Thank you for your report.

As background, [tf.queue](https://www.tensorflow.org/api_docs/python/tf/queue) has similar ops with public API. In contrast, `Stage` and `Unstage` are internal-only ops that are optimized for performance.

Here's a working example where an `Unstage` op does not have a shared name:

```
In [1]: import tensorflow as tf
In [2]: tf.compat.v1.disable_eager_execution()
In [3]: data = tf.random.uniform(shape=[3, 2])
In [4]: stage_op = tf.raw_ops.Stage(values=[data], shared_name="Unstage")
In [5]: unstage_op = tf.raw_ops.Unstage(dtypes=[data.dtype])  # The name of this op is `Unstage`
In [6]: with tf.compat.v1.Session() as sess:
   ...:   sess.run(stage_op)
   ...:   result = sess.run(unstage_op)
   ...:   print(result)
   ...:
[array([[0.9767339 , 0.24937785],
       [0.974072  , 0.40839374],
       [0.06740427, 0.6676805 ]], dtype=float32)]
```

Adding error checking seems infeasible since an Unstage that does not specify shared_name is valid and changing this would break API compatibility. These internal-ops are optimized for performance and the potential to block forever seems intended.
 Thanks, I got it. :> @Zoeeeeey , Could you please close the issue, if you don't have any further question. Are you satisfied with the resolution of your issue?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/62513">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/62513">No</a>

### Issue type

Bug

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

No

### Source

binary

### TensorFlow version

tf 2.13

### Custom code

Yes

### OS platform and distribution

Windows

### Mobile device

_No response_

### Python version

3.8.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

The implementation of tf.raw_ops.Unstage fails as a result of that the program hangs. When tf.raw_ops.Unstage is called simultaneously with tf.raw_ops.Stage, there's also an occurrence of the program hanging.

### Standalone code to reproduce the issue

```shell
import tensorflow as tf

tf.compat.v1.disable_eager_execution()

data = tf.random.uniform(shape=[3, 2])
stage_op = tf.raw_ops.Stage(values=[data])
unstage_op = tf.raw_ops.Unstage(dtypes=[data.dtype])

with tf.compat.v1.Session() as sess:
    sess.run(stage_op)
    result = sess.run(unstage_op)
    print(result)
```


### Relevant log output

```shell
2023-11-30 21:03:36.123836: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE SSE2 SSE3 SSE4.1 SSE4.2 AVX AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-11-30 21:03:36.125717: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:375] MLIR V1 optimization pass is not enabled
```
