Change ParamsConverter logs to debug level (#3175)

### Types of changes
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Non-breaking change (fix or new feature that would not break
existing functionality).
- [ ] Breaking change (fix or new feature that would cause existing
functionality to change).
- [ ] New tests added to cover the changes.
- [ ] Quick tests passed locally by running `./runtest.sh`.
- [ ] In-line docstrings updated.
- [ ] Documentation updated.

nvflare/app_opt/pt/client_api_launcher_executor.py

@@ -31,12 +31,12 @@ def initialize(self, fl_ctx: FLContext) -> None:
         if self._from_nvflare_converter is None:
             # if not specified, assign defaults
             if self._params_exchange_format == ExchangeFormat.NUMPY:
-                self.logger.info("Numpy from_nvflare_converter initialized")
+                self.logger.debug("Numpy from_nvflare_converter initialized")
                 self._from_nvflare_converter = NumpyToPTParamsConverter(
                     [AppConstants.TASK_TRAIN, AppConstants.TASK_VALIDATION]
                 )
             elif self._params_exchange_format == ExchangeFormat.PYTORCH:
-                self.logger.info("Pytorch from_nvflare_converter initialized")
+                self.logger.debug("Pytorch from_nvflare_converter initialized")
                 self._from_nvflare_converter = PTReceiveParamsConverter(
                     [AppConstants.TASK_TRAIN, AppConstants.TASK_VALIDATION]
                 )
@@ -46,12 +46,12 @@ def initialize(self, fl_ctx: FLContext) -> None:
         if self._to_nvflare_converter is None:
             # if not specified, assign defaults
             if self._params_exchange_format == ExchangeFormat.NUMPY:
-                self.logger.info("Numpy to_nvflare_converter initialized")
+                self.logger.debug("Numpy to_nvflare_converter initialized")
                 self._to_nvflare_converter = PTToNumpyParamsConverter(
                     [AppConstants.TASK_TRAIN, AppConstants.TASK_SUBMIT_MODEL]
                 )
             elif self._params_exchange_format == ExchangeFormat.PYTORCH:
-                self.logger.info("Pytorch to_nvflare_converter initialized")
+                self.logger.debug("Pytorch to_nvflare_converter initialized")
                 self._to_nvflare_converter = PTSendParamsConverter(
                     [AppConstants.TASK_TRAIN, AppConstants.TASK_SUBMIT_MODEL]
                 )

nvflare/app_opt/pt/in_process_client_api_executor.py

@@ -60,12 +60,12 @@ def __init__(
         if self._from_nvflare_converter is None:
             # if not specified, assign defaults
             if params_exchange_format == ExchangeFormat.NUMPY:
-                self.logger.info("Numpy from_nvflare_converter initialized")
+                self.logger.debug("Numpy from_nvflare_converter initialized")
                 self._from_nvflare_converter = NumpyToPTParamsConverter(
                     [AppConstants.TASK_TRAIN, AppConstants.TASK_VALIDATION]
                 )
             elif params_exchange_format == ExchangeFormat.PYTORCH:
-                self.logger.info("Pytorch from_nvflare_converter initialized")
+                self.logger.debug("Pytorch from_nvflare_converter initialized")
                 self._from_nvflare_converter = PTReceiveParamsConverter(
                     [AppConstants.TASK_TRAIN, AppConstants.TASK_VALIDATION]
                 )
@@ -75,12 +75,12 @@ def __init__(
         if self._to_nvflare_converter is None:
             # if not specified, assign defaults
             if params_exchange_format == ExchangeFormat.NUMPY:
-                self.logger.info("Numpy to_nvflare_converter initialized")
+                self.logger.debug("Numpy to_nvflare_converter initialized")
                 self._to_nvflare_converter = PTToNumpyParamsConverter(
                     [AppConstants.TASK_TRAIN, AppConstants.TASK_SUBMIT_MODEL]
                 )
             elif params_exchange_format == ExchangeFormat.PYTORCH:
-                self.logger.info("Pytorch to_nvflare_converter initialized")
+                self.logger.debug("Pytorch to_nvflare_converter initialized")
                 self._to_nvflare_converter = PTSendParamsConverter(
                     [AppConstants.TASK_TRAIN, AppConstants.TASK_SUBMIT_MODEL]
                 )