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/onnx_engine.pyx

@@ -36,15 +36,15 @@ cdef class OnnxEngine(InferenceEngine):
 
     cdef tuple get_input_shape(self):
         shape = self.input_shape
-        return shape[2], shape[3]
+        return <tuple>(shape[2], shape[3])
 
     cdef int get_batch_size(self):
-        return self.batch_size
+        return <int>self.batch_size
 
     cdef run(self, input_data):
         try:
-            return self.session.run(None, {self.input_name: input_data})
+            return self.session.run(None, {self.input_name: input_data})  # type: ignore[attr-defined]
         except Exception:
             if self._cpu_session is not None:
-                return self._cpu_session.run(None, {self.input_name: input_data})
+                return self._cpu_session.run(None, {self.input_name: input_data})  # type: ignore[attr-defined]
             raise