[Good First Issue]: Extend `PrePostProcessor` module with `Clamp`

Context

Some models require preprocessing done to the data before inference. Usually it's done with packages like numpy or pillow for images, but it adds dependencies and additional steps to the inference pipeline, not to mention that these steps may not be properly performant.

PrePostProcessor module allows users to define such preprocessing steps (also postprocessing if you need it), and then embed it into the graph. It not only fixes the issues mentioned above, but also allows OpenVINO graph transformations and performance improvements to take place, increasing overall inference performance.

Lately there has been a request for a new PrePostProcessor operation - Clamp: https://github.com/openvinotoolkit/openvino/issues/23001. The issue contains information relevant to the task, it's recommended to read it.

What needs to be done?

1. Modify https://github.com/openvinotoolkit/openvino/blob/master/src/core/src/preprocess/pre_post_process.cpp to include Clamp operation. It should most likely be placed in PreProcessSteps section at https://github.com/openvinotoolkit/openvino/blob/master/src/core/src/preprocess/pre_post_process.cpp#L257.
2. Add the implementation to https://github.com/openvinotoolkit/openvino/blob/master/src/core/src/preprocess/preprocess_steps_impl.cpp

The implementation is preferred to use existing OpenVINO operators - in this case we have a perfect operator for that: https://docs.openvino.ai/2024/documentation/openvino-ir-format/operation-sets/operation-specs/activation/clamp-1.html 3. Add tests to https://github.com/openvinotoolkit/openvino/blob/master/src/core/tests/preprocess.cpp

Example Pull Requests

Resources

• Contribution guide - start here!
• Intel DevHub Discord channel - engage in discussions, ask questions and talk to OpenVINO developers
• How to link your Pull Request to an issue
• PrePostProcessor docs

Contact points

@p-wysocki

Ticket

N/A