Refactor type casting in Cython files for improved clarity and consistency

- Updated various Cython files to explicitly cast types, enhancing type safety and readability.
- Adjusted the `engine_name` property in `InferenceEngine` and its subclasses to be set directly in the constructor.
- Modified the `request` method in `_SessionWithBase` to accept `*args` for better flexibility.
- Ensured proper type casting for return values in methods across multiple classes, including `Inference`, `CoreMLEngine`, and `TensorRTEngine`.

These changes aim to streamline the codebase and improve maintainability by enforcing consistent type usage.

engines/inference_engine.pyx

@@ -1,10 +1,7 @@
 cdef class InferenceEngine:
     def __init__(self, model_bytes: bytes, batch_size: int = 1, **kwargs):
         self.batch_size = batch_size
-
-    @property
-    def engine_name(self):
-        return "onnx"
+        self.engine_name = <str>"onnx"
 
     @staticmethod
     def get_engine_filename():
@@ -22,7 +19,7 @@ cdef class InferenceEngine:
         raise NotImplementedError("Subclass must implement get_input_shape")
 
     cdef int get_batch_size(self):
-        return self.batch_size
+        return <int>self.batch_size
 
     cdef run(self, input_data):
         raise NotImplementedError("Subclass must implement run")