Resolve logger warnings (#1324)

Signed-off-by: Emmanuel Ferdman <[email protected]>

Author: emmanuel-ferdman

examples/neural_compressor/question-answering/trainer_qa.py

@@ -46,7 +46,7 @@ def evaluate(self, eval_dataset=None, eval_examples=None, ignore_keys=None, metr
             and getattr(self.model.config, "framework", None) in {"pytorch", "pytorch_fx"}
             and self.use_cpu_amp
         ):
-            logger.warn(
+            logger.warning(
                 f"{self.model.config.framework} quantized model doesn't support BFloat16 input, setting `use_cpu_amp` to False."
             )
             self.use_cpu_amp = False

optimum/intel/neural_compressor/trainer.py

@@ -877,7 +877,7 @@ def evaluate(
             and getattr(self.model.config, "framework", None) in {"pytorch", "pytorch_fx"}
             and self.use_cpu_amp
         ):
-            logger.warn(
+            logger.warning(
                 f"{self.model.config.framework} quantized model doesn't support BFloat16 input, setting `use_cpu_amp` to False."
             )
             self.use_cpu_amp = False

optimum/intel/openvino/modeling_decoder.py

@@ -158,7 +158,7 @@ def __init__(
         is_stateful_supported = ensure_stateful_is_available(warn=False)
 
         if self.use_cache and not self.stateful:
-            logger.warn(
+            logger.warning(
                 "Provided model does not contain state. It may lead to sub-optimal performance."
                 "Please reexport model with updated OpenVINO version >= 2023.3.0 calling the `from_pretrained` method with original model "
                 "and `export=True` parameter"

optimum/intel/openvino/quantization.py

@@ -1355,7 +1355,7 @@ def _quantize_torchmodel(
             if not isinstance(quantization_config, OVQuantizationConfig):
                 raise ValueError(f"Unsupported type of quantization config: {type(quantization_config)}")
             if stateful:
-                logger.warn(
+                logger.warning(
                     "Quantization algorithm does not support optimized stateful models. "
                     "The original model without optimization will be quantized and exported."
                 )