null pointer dereference in reshape
I was able to reproduce this on 2.14.

<img width="746" alt="image" src="https://github.com/tensorflow/tensorflow/assets/118897289/217679ae-139d-4bfe-9c08-19a98ef007a8">

@pkgoogle Could you please look into this issue?

Thanks. I was able to reproduce on nightly:

```
./benchmark_model --graph=reshape.tflite
INFO: STARTING!
INFO: Log parameter values verbosely: [0]
INFO: Graph: [reshape.tflite]
INFO: Loaded model reshape.tflite
ERROR: Invalid tensor index 32 in inputs. The subgraph has 3 tensors

INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
Segmentation fault
```

@alankelly, can you please take a look? Thanks.
### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.14.0

### Custom code

Yes

### OS platform and distribution

Ubuntu 18.04.6

### Mobile device

_No response_

### Python version

Python 3.8.3

### Bazel version

bazel 5.3.0

### GCC/compiler version

gcc 7.5.0

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

A maliciously constructed `reshape` operator model leads to `input` being empty, causing a null pointer dereference in the `IsConstantTensor` function.
```c
// reshape.cc
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
  TF_LITE_ENSURE(context, NumInputs(node) == 1 || NumInputs(node) == 2);
  TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
  OpData* op_data = reinterpret_cast<OpData*>(node->user_data);
  op_data->output_ptr = nullptr;

  TfLiteTensor* output;
  TF_LITE_ENSURE_OK(context,
                    GetOutputSafe(context, node, kOutputTensor, &output));
  if (output->type != kTfLiteString) {
    const TfLiteTensor* input = GetInput(context, node, kInputTensor);
    const TfLiteTensor* shape = GetInput(context, node, kShapeTensor);
    if (NumInputs(node) == 1 || IsConstantOrPersistentTensor(shape)) {
      if (IsConstantOrPersistentTensor(input)) {   // input is nullptr
        SetTensorToPersistentRo(output);
```

```c
// kernel_util.h
inline bool IsConstantOrPersistentTensor(const TfLiteTensor* tensor) {
  return IsConstantTensor(tensor) ||
         (tensor->allocation_type == kTfLitePersistentRo);
}

inline bool IsConstantTensor(const TfLiteTensor* tensor) {
  return tensor->allocation_type == kTfLiteMmapRo;  // tensor is nullptr
}
```

[reshape.zip](https://github.com/tensorflow/tensorflow/files/13037278/reshape.zip)


### Standalone code to reproduce the issue

```shell
I use the benchmark tool built according to [this official guide](https://www.tensorflow.org/lite/guide/build_cmake#step_1_install_cmake_tool), as follows:
1. git clone https://github.com/tensorflow/tensorflow.git tensorflow_src
2. mkdir tflite_build && cd tflite_build
3. cmake ../tensorflow_src/tensorflow/lite
4. cmake --build . -j
5. cmake --build . -j -t benchmark_model

The benchmark is in the tools directory


When I use the benchmark tool for PoC validation, it causes the TensorFlow Lite inference process to be subjected to a DOS（coredump).

❯ ./benchmark_model --graph=../poc/reshape.tflite
INFO: STARTING!
INFO: Log parameter values verbosely: [0]
INFO: Graph: [../poc/reshape.tflite]
INFO: Loaded model ../poc/reshape.tflite
ERROR: Invalid tensor index 32 in inputs. The subgraph has 3 tensors

INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
[1]    10805 segmentation fault (core dumped)  ./benchmark_model --graph=../poc/reshape.tflite
```


### Relevant log output

_No response_