jit-compiled `tfnp.take_along_axis` shape bug
Hi, @jackd!
I was able to replicate the issue with jit-compiled=True but the issue is not reproducible with  jit-compiled=False both in 2.15 and tf-nightly. 
Please have a look at this [gist](https://colab.research.google.com/gist/sushreebarsa/19bb1d29524258b41fce7a7784dcc4ba/62391.ipynb#scrollTo=X-sMyV14FWPP) for reference. 
As a workaround you can use tf.function(jit_compile=False) or by not using tfnp.take_along_axis altogether to avoid such errors. Could you please confirm the same?
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. @sushreebarsa confirmed @jackd Thanks for the confirmation. If the workaround works for you then can we move this issue to closed status?
Thank you! The existence of a workaround isn't the same as a bug fix... @sachinprasadhs Could you please have a look at this issue?
Thank you!
### Issue type

Bug

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

Yes

### Source

binary

### TensorFlow version

tf_nightly-2.16.0.dev20231113-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64

### Custom code

Yes

### OS platform and distribution

colab

### Mobile device

_No response_

### Python version

3.10

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

[colab demonstrating the issue](https://colab.research.google.com/drive/1nk6NXUoo7qE7g6NHlFHBgMWkJW0LuTMx?usp=sharing)

`tf.experimental.numpy.take_along_axis` returns tensor with incorrect shape when used with `tf.function(jit_compile=True)`.

### Standalone code to reproduce the issue

```shell
import tensorflow as tf

x = tf.random.normal((5, 3, 2))
indices = tf.constant([[[-1]]], dtype="int32")


def f(x, i):
    return tf.squeeze(tf.experimental.numpy.take_along_axis(x, i, axis=-2), axis=-2)


z = f(x, indices)
print(z.shape)  # (5, 2)

z1 = tf.function(f, jit_compile=True)(x, indices) # errors
print(z1.shape)
```


### Relevant log output

```shell
---------------------------------------------------------------------------
InvalidArgumentError                      Traceback (most recent call last)
<ipython-input-4-97d5eab12d23> in <cell line: 1>()
----> 1 z1 = tf.function(f, jit_compile=True)(x, indices)
      2 print(z1.shape)

1 frames
/usr/local/lib/python3.10/dist-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
     51   try:
     52     ctx.ensure_initialized()
---> 53     tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
     54                                         inputs, attrs, num_outputs)
     55   except core._NotOkStatusException as e:

InvalidArgumentError: Tried to explicitly squeeze dimension 1 but dimension was not 1: 2

Stack trace for op definition: 
File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
File "/usr/local/lib/python3.10/dist-packages/colab_kernel_launcher.py", line 37, in <module>
File "/usr/local/lib/python3.10/dist-packages/traitlets/config/application.py", line 992, in launch_instance
File "/usr/local/lib/python3.10/dist-packages/ipykernel/kernelapp.py", line 619, in start
File "/usr/local/lib/python3.10/dist-packages/tornado/platform/asyncio.py", line 195, in start
File "/usr/lib/python3.10/asyncio/base_events.py", line 603, in run_forever
File "/usr/lib/python3.10/asyncio/base_events.py", line 1909, in _run_once
File "/usr/lib/python3.10/asyncio/events.py", line 80, in _run
File "/usr/local/lib/python3.10/dist-packages/tornado/ioloop.py", line 685, in <lambda>
File "/usr/local/lib/python3.10/dist-packages/tornado/ioloop.py", line 738, in _run_callback
File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 825, in inner
File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 786, in run
File "/usr/local/lib/python3.10/dist-packages/ipykernel/kernelbase.py", line 361, in process_one
File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 234, in wrapper
File "/usr/local/lib/python3.10/dist-packages/ipykernel/kernelbase.py", line 261, in dispatch_shell
File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 234, in wrapper
File "/usr/local/lib/python3.10/dist-packages/ipykernel/kernelbase.py", line 539, in execute_request
File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 234, in wrapper
File "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py", line 302, in do_execute
File "/usr/local/lib/python3.10/dist-packages/ipykernel/zmqshell.py", line 539, in run_cell
File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 2975, in run_cell
File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 3030, in _run_cell
File "/usr/local/lib/python3.10/dist-packages/IPython/core/async_helpers.py", line 78, in _pseudo_sync_runner
File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 3257, in run_cell_async
File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 3473, in run_ast_nodes
File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 3553, in run_code
File "<ipython-input-4-97d5eab12d23>", line 1, in <cell line: 1>
File "<ipython-input-2-4f365be98111>", line 8, in f

	 [[{{node Squeeze}}]]
	tf2xla conversion failed while converting __inference_f_283[_XlaMustCompile=true,config_proto=3175580994766145631,executor_type=11160318154034397263]. Run with TF_DUMP_GRAPH_PREFIX=/path/to/dump/dir and --vmodule=xla_compiler=2 to obtain a dump of the compiled functions. [Op:__inference_f_283]
```
