`tf.raw_ops.DecodeAndCropJpeg`: Assertion failure in shape inference step
In release build, we can observe an unstable intermediate tensor with invalid dims([gist](https://colab.research.google.com/drive/1xW-D_MJjE-WBbL5pn_SuqP-7mZjgkGLV?usp=sharing)).
```Python
import tensorflow as tf

tf.compat.v1.disable_eager_execution()

x = tf.raw_ops.DecodeAndCropJpeg(
    contents="abc",
    crop_window=[0,0,0,-2],
    channels=0,
    ratio=1,
    fancy_upscaling=True,
    try_recover_truncated=False,
    acceptable_fraction=1,
    dct_method='',
    name=None
)

# Prints "True"
print(tf.is_tensor(x))

# Ends up with "ValueError: Dimension -2 must be >= 0"
print(x)
``` Hi @Sehun0819 ,
With official release builds there is exception is raised though message is not much clear. But user can traceback it though.

I have proposed a fix in linked PR above.
### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.17

### Custom code

Yes

### OS platform and distribution

Linux Ubuntu 22.04 LTS

### Mobile device

_No response_

### Python version

3.11.7

### Bazel version

6.5.0

### GCC/compiler version

clang 16

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

`tf.raw_ops.DecodeAndCropJpeg` can lead to assertion failure in shape inference step.
Error location is [here](https://github.com/tensorflow/tensorflow/blob/daea84aad67d1fcc8d58c648e1da58ee576445f9/tensorflow/core/ops/image_ops.cc#L523):
```C++
       w = c->MakeDim(crop_window_vec(3));
```
It makes a dim from an input argument without checking negativity.
In debug build, it ends up with assertion failure in [a constructor of`DimensionOrConstant`](https://github.com/tensorflow/tensorflow/blob/daea84aad67d1fcc8d58c648e1da58ee576445f9/tensorflow/core/framework/shape_inference.h#L891-L896).

### Standalone code to reproduce the issue

```Python
import tensorflow as tf

tf.compat.v1.disable_eager_execution()

tf.raw_ops.DecodeAndCropJpeg(
    contents="abc",
    crop_window=[0,0,0,-2],
    channels=0,
    ratio=1,
    fancy_upscaling=True,
    try_recover_truncated=False,
    acceptable_fraction=1,
    dct_method='',
    name=None
)
```


### Relevant log output

Release build: Outputs nothing

Debug build:
```shell
2024-02-27 18:41:59.133420: F ./tensorflow/core/framework/shape_inference.h:891] Check failed: val >= 0 || val == InferenceContext::kUnknownDim Dimension must be non-negative or equal to InferenceContext::kUnknownDim but got -2
Aborted (core dumped)
```
