A check fail can be triggered in MatrixLogarithm
@sachinprasadhs,
I was able to reproduce the issue on tensorflow v2.12 and nightly. Kindly find the gist and the screen shot for the reference.

```
(tf) tilakrayal@tilak-cpu-instance:~$ python3 mkjfgkkll.py
2023-04-10 09:16:56.384974: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
2023-04-10 09:16:56.956235: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
2023-04-10 09:16:56.959832: 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.
2023-04-10 09:16:59.274496: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-04-10 09:17:02.144480: F tensorflow/core/framework/tensor_shape.cc:201] Non-OK-status: InitDims(dim_sizes) status: INVALID_ARGUMENT: Encountered overflow when multiplying 13 with 8440370290997831992, result: -1
Aborted
``` Hi @shijy16 
This has been fixed. tested with TF2.16v and found raising an exception rather than check fail.Please refer [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/dcc83ff235a447e466eac66a9310966d/60275_nightly_success.ipynb).
Thanks! 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-dev20230406

### 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.MatrixLogarithm` 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, 9, 13, 15, 13, 8440370290997831992], dtype=tf.float32, minval=-1024, maxval=1024),tf.random.uniform([0, 9, 13, 15, 13, 8440370290997831992], dtype=tf.float32, minval=-1024, maxval=1024))
    res = tf.raw_ops.MatrixLogarithm(
        input=input,
    )
```


### Relevant log output

```shell
2023-04-09 13:53:45.787590: 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`.
2023-04-09 13:53:45.833409: 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.
2023-04-09 13:53:46.651440: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-04-09 13:53:48.212756: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1638] 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
2023-04-09 13:53:48.249022: F tensorflow/core/framework/tensor_shape.cc:201] Non-OK-status: InitDims(dim_sizes) status: INVALID_ARGUMENT: Encountered overflow when multiplying 13 with 8440370290997831992, result: -1
Aborted (core dumped)
```
</details>