Deprecate quantsim util APIs

Signed-off-by: Kyunggeun Lee <[email protected]>

TrainingExtensions/torch/src/python/aimet_torch/_base/quantsim.py

@@ -1735,6 +1735,7 @@ def run_modules_for_traced_custom_marker(self, module_list: List[torch.nn.Module
 
 
 
+@deprecated("Use pickle.dump instead")
 def save_checkpoint(quant_sim_model: _QuantizationSimModelInterface, file_path: str):
     """
     This API provides a way for the user to save a checkpoint of the quantized model which can
@@ -1749,6 +1750,7 @@ def save_checkpoint(quant_sim_model: _QuantizationSimModelInterface, file_path:
         pickle.dump(quant_sim_model, file)
 
 
+@deprecated("Use pickle.load instead")
 def load_checkpoint(file_path: str) -> _QuantizationSimModelInterface:
     """
     Load the quantized model

TrainingExtensions/torch/src/python/aimet_torch/v2/quantsim/quantsim.py

@@ -532,7 +532,17 @@ def _remove_quantization_wrappers(cls, starting_module, list_of_modules_to_exclu
                 cls._remove_quantization_wrappers(module, list_of_modules_to_exclude)
 
 
-@deprecated("Use QuantizationSimModel.load_encodings instead.")
+@deprecated("""
+Use QuantizationSimModel.load_encodings with the following keyword arguments instead:
+```
+sim.load_encodings(encoding_path
+                   strict=True,
+                   partial=False,
+                   requires_grad=None,
+                   allow_overwrite=None)
+```
+"""
+)
 def load_encodings_to_sim(quant_sim_model: _QuantizationSimModelBase, pytorch_encoding_path: str):
     """
     Loads the saved encodings to quant sim model. The encoding filename to load should end in _torch.encodings,
@@ -549,6 +559,17 @@ def load_encodings_to_sim(quant_sim_model: _QuantizationSimModelBase, pytorch_en
                                    allow_overwrite=None)
 
 
+@deprecated(r"""
+Use aimet_torch.nn.compute_encodings contextmanager on each sim.model instead. For example:
+```
+with torch.no_grad(), \
+        aimet_torch.v2.nn.compute_encodings(sim_0.model), \
+        aimet_torch.v2.nn.compute_encodings(sim_1.model), \
+        aimet_torch.v2.nn.compute_encodings(sim_2.model):
+    # Run forward pass with calibration dataset
+```
+"""
+)
 def compute_encodings_for_sims(sim_list: Sequence[QuantizationSimModel], forward_pass_callback: Callable,
                                forward_pass_callback_args: Any):
     """