Shape inference for tf.gather is inconsistent with/without --tf_mlir_enable_mlir_bridge
Personally I digged into this issue a little bit.

When mlir bridge is enabled, ops roughly go through the following transformations:

graph -> tf dialect -> mhlo dialect -> xla hlo dialect -> some backend stuff...

Taking gather as an example, after transforming to tf.GatherV2, TensorFlowShapeInferencePass will be run at some stage to do shape inference. This pass eventually invokes GatherV2's OpShapeInferenceFn to do the actual work, which deduces the output shape based on the formula:

def batched_result_shape(p_shape, i_shape, axis=0, batch_dims=0):
  return p_shape[:axis] + i_shape[batch_dims:] + p_shape[axis+1:]

(https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/gather)

But looks like the doc does not tell us what to do when the batch_dim dimensions of params and indices disagree.

Should the formula be updated to something like:

def batched_result_shape(p_shape, i_shape, axis=0, batch_dims=0):
  return i_shape[:batch_dims] + p_shape[batch_dims:axis] + i_shape[batch_dims:] + p_shape[axis+1:] 

or, should we just add a validation check to count the mismatch of batch_dim dimensions of params and indices? Hello, @tqxia! Sorry for the late response!
I was able to replicate the issue reported [here](https://colab.research.google.com/gist/sushreebarsa/fc5e05758acca39bfb53fc14f1497f39/62088.ipynb). 
Could you please share the complete error log here which will help us to analyze this ticket?
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. 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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### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.14

### Custom code

Yes

### OS platform and distribution

_No response_

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

Please refer to the "Relevant log output" section for detailed description of current behavior.

### Standalone code to reproduce the issue

```shell
# Run the code snippet with the following flags to reproduce the issue:
# TF_XLA_FLAGS="--tf_mlir_enable_mlir_bridge --tf_xla_enable_xla_devices --tf_xla_auto_jit=2 --tf_xla_cpu_global_jit --tf_xla_min_cluster_size=1"

import tensorflow as tf

params = tf.constant([
    [0, 0, 1, 0, 2],
    [3, 0, 0, 0, 4],
    [0, 5, 0, 6, 0]])
indices = tf.constant([
    [2, 4],
    [0, 4]])

print(tf.gather(params, indices, axis=1, batch_dims=1))
```


### Relevant log output

```shell
When mlir bridge is disabled, the code snippet works without any error. The return value of tf.gather is [[1 2][3 4]]


when mlir bridge is enabled, the code snippet returned with error:

2023-10-11 11:43:24.846292: W tensorflow/core/framework/op_kernel.cc:1839] OP_REQUIRES failed at xla_ops.cc:841 : INVALID_ARGUMENT: Shape used to set computation result layout (s32[3,2]{1,0}) is not compatible with result shape (s32[2,2])
Traceback (most recent call last):
  File "/tf/playground/test_gather.py", line 37, in <module>
    print(tf.gather(params, indices, validate_indices=True, axis=1, batch_dims=1).numpy())
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/tensorflow/python/util/traceback_utils.py", line 153, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "/usr/local/lib/python3.11/dist-packages/tensorflow/python/framework/ops.py", line 5888, in raise_from_not_ok_status
    raise core._status_to_exception(e) from None  # pylint: disable=protected-access
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__GatherV2_device_/job:localhost/replica:0/task:0/device:CPU:0}} Shape used to set computation result layout (s32[3,2]{1,0}) is not compatible with result shape (s32[2,2])
         [[{{node cluster_1_1/xla_compile}}]] [Op:GatherV2] name:
```
