dynamic input shape with InferenceRunner
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### Issue type

Support

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

Yes

### Source

source

### TensorFlow version

tf 2.16

### Custom code

No

### OS platform and distribution

android

### Mobile device

android

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

I'm trying to use tflite with opengl ssbo, just like the following code does
https://github.com/google-ai-edge/mediapipe/blob/master/mediapipe/calculators/tensor/inference_calculator_gl_advanced.cc.

https://github.com/google-ai-edge/mediapipe/blob/master/mediapipe/util/tflite/tflite_gpu_runner.cc

I would like to know how to change input shape size when I'm using `InferenceRunner` and `InferenceBuilder`, just like `ResizeInputTensor`  when using `tflite::Interpreter`?

### Standalone code to reproduce the issue

```shell
https://github.com/google-ai-edge/mediapipe/blob/master/mediapipe/calculators/tensor/inference_calculator_gl_advanced.cc.
```


### Relevant log output

_No response_