Address leftover comments for Lora support (#22322)

### Description
Address comments


### Motivation and Context
Re: #22046

include/onnxruntime/core/session/onnxruntime_c_api.h

@@ -4675,7 +4675,7 @@ struct OrtApi {
   /** \brief Create an OrtLoraAdapter
    *
    * The function attempts to locate file specified by adapter_file_path, read it and create an OrtLoraAdapter
-   * instance. The adapter_file_path should be a valid absolute path to a file that contains a valid Lora Adapter
+   * instance. The adapter_file_path should be a valid path to a file that contains a valid Lora Adapter
    * format. The function attempts to validate the format at load time. The file will always be memory mapped, unless
    * the platform does not support memory mapping, in which case the file will be read into memory.
    *

include/onnxruntime/core/session/onnxruntime_cxx_api.h

@@ -797,7 +797,7 @@ struct RunOptions : detail::Base<OrtRunOptions> {
   /** \brief Add the LoraAdapter to the list of active adapters.
    *  The setting does not affect RunWithBinding() calls.
    *
-   * Wraps OrtApi::RunOptionsSetLoraAdapterActive
+   * Wraps OrtApi::RunOptionsAddActiveLoraAdapter
    * \param adapter The LoraAdapter to be used as the active adapter
    */
   RunOptions& AddActiveLoraAdapter(const LoraAdapter& adapter);

onnxruntime/python/onnxruntime_pybind_state.cc

@@ -2228,7 +2228,14 @@ including arg name, arg type (contains both type and shape).)pbdoc")
             OrtPybindThrowIfError(res.first);
             return *(res.second); }, py::return_value_policy::reference_internal)
       .def("run_with_iobinding", [](PyInferenceSession* sess, SessionIOBinding& io_binding, RunOptions* run_options = nullptr) -> void {
+
         Status status;
+
+        if (run_options != nullptr && !run_options->active_adapters.empty()) {
+          LOGS(*sess->GetSessionHandle()->GetLogger(), WARNING)
+              << "run_with_iobinding has active adapters specified, but won't have an effect";
+        }
+
         // release GIL to allow multiple python threads to invoke Run() in parallel.
         py::gil_scoped_release release;
         if (!run_options)