`tf.raw_ops.ExtractImagePatches`: Assertion failure in shape inference step
In release build, we can observe unstable intermediate tensor with invalid dim([gist](https://colab.research.google.com/drive/11NlRWUTovteiN6JNPpGVK2E1zAkHLz4a?usp=sharing)).
```Python
import tensorflow as tf

tf.compat.v1.disable_eager_execution()

x = tf.raw_ops.ExtractImagePatches(
    images=tf.random.normal([1,1,1,1]),
    ksizes=[1,-1,2,1],
    strides=[1,1,1,1],
    rates=[1,1,1,1],
    padding="VALID",
    name=None
)

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

# Ends up with "ValueError: Dimension -2 must be >= 0"
print(x)
``` Hi @Sehun0819 ,

I think this behaviour exists if negative values passed to strides and rates also. Validation might be costly in that case.Since this behaviour is specific to a debug build and official builds won't have this behaviour, could you please mention the build command used for this build. May be there exists a nice way for fixing this.

Thanks! @SuryanarayanaY
Hi!
I built it following [manual](https://www.tensorflow.org/install/source) with `--config=dbg`.

I just found that it runs without any error message when both `ksizes[1]` and `ksizes[2]` are negative([gist](https://colab.research.google.com/drive/11NlRWUTovteiN6JNPpGVK2E1zAkHLz4a#scrollTo=4Y1QLVSnv2tC&line=1&uniqifier=1)), and it seems even worse.
```Python
import tensorflow as tf

x = tf.raw_ops.ExtractImagePatches(
    images=tf.random.normal([1,1,1,1]),
    ksizes=[1,-1,-2,1],
    strides=[1,1,1,1],
    rates=[1,1,1,1],
    padding="VALID",
    name=None
)

# Tensor("ExtractImagePatches_8:0", shape=(1, 3, 4, 2), dtype=float32)
print(x)
``` Hi @Sehun0819 ,

The DCHECK pointed here already addresses in PR #63089. I believe the API still lacks some validations.
### 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.ExtractImagePatches` can lead to assertion failure in shape inference step.
Error location is [here](https://github.com/tensorflow/tensorflow/blob/f5daeae21404e8d672c785cc0c4c469ddc1b1a8a/tensorflow/core/ops/array_ops.cc#L2686-L2687):
```C++
      TF_RETURN_IF_ERROR(c->Multiply(
          c->Dim(input_shape, 3), ksize_rows * ksize_cols, &output_depth_dim));
```
Because it does not check validity of `ksize_rows * ksize_cols`, the negative value of it is fed to [`Multiply`](https://github.com/tensorflow/tensorflow/blob/83f1804f3427ae888e62b26b5bcba8afc9e24ef7/tensorflow/core/framework/shape_inference.cc#L1096C1-L1098C56):
```C++
Status InferenceContext::Multiply(DimensionHandle first,
                                  DimensionOrConstant second,
                                  DimensionHandle* out)
```
And it ends up with assertion failure at [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.ExtractImagePatches(
    images=tf.random.normal([1,1,1,1]),
    ksizes=[1,-1,2,1],
    strides=[1,1,1,1],
    rates=[1,1,1,1],
    padding="VALID",
    name=None
)
```


### Relevant log output

Release build: Outputs nothing

Debug build:
```shell
2024-02-27 20:05:58.701202: 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)
```
