A check fail can be triggered in MatrixDeterminant
Hi @shijy16, 

I was able to replicate the issue in Ubuntu using tf-nightly(2.13.0-dev20230331). Please find the log below.
```
(tf) ynandi@sindhu-ubuntu-2005:~$ python 60199.py
2023-04-03 13:20:37.981051: 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: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-04-03 13:20:38.789344: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-04-03 13:20:41.739112: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1635] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13492 MB memory:  -> device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5
2023-04-03 13:20:41.761387: F tensorflow/core/framework/tensor_shape.cc:201] Non-OK-status: InitDims(dim_sizes) status: INVALID_ARGUMENT: Encountered overflow when multiplying 7678600331551628182 with 15, result: -1
Aborted (core dumped)
```
Thank you! @shijy16,
This indicates the problem is due to a memory issue where the OS crashed in allocating the required memory which is expected.

Also please refer to the developer https://github.com/tensorflow/tensorflow/issues/59168#issuecomment-1405633596 related to malloc with high input size which will eventually lead to an OS crash. 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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<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Bug

### Have you reproduced the bug with TF nightly?

Yes

### Source

binary

### Tensorflow Version

2.13.0-dev20230331

### Custom Code

No

### OS Platform and Distribution

Linux Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.10

### Bazel version

_No response_

### GCC/Compiler version

_No response_

### CUDA/cuDNN version

CUDA 11.8

### GPU model and memory

_No response_

### Current Behaviour?

```shell
The following code can trigger a crash in `tf.raw_ops.MatrixDeterminant` due to check-fail in the latest version of TensorFlow.
```


### Standalone code to reproduce the issue

```shell
import tensorflow as tf
with tf.device("CPU"):
    input = tf.complex(tf.random.uniform([0, 1, 7678600331551628182, 15], dtype=tf.float32, minval=-18446744073709551615, maxval=18446744073709551615),tf.random.uniform([0, 1, 7678600331551628182, 15], dtype=tf.float32, minval=-18446744073709551615, maxval=18446744073709551615))
    res = tf.raw_ops.MatrixDeterminant(
        input=input,
    )
```


### Relevant log output

```shell
2023-04-01 16:27:43.185649: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2023-04-01 16:27:43.233461: 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: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-04-01 16:27:44.034698: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-04-01 16:27:45.582999: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1635] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 14561 MB memory:  -> device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 0000:2f:00.0, compute capability: 7.0
2023-04-01 16:27:45.620825: F tensorflow/core/framework/tensor_shape.cc:201] Non-OK-status: InitDims(dim_sizes) status: INVALID_ARGUMENT: Encountered overflow when multiplying 7678600331551628182 with 15, result: -1
Aborted (core dumped)
```
</details>