Fix quantizartion test (#476)

* fix test * remove warning
huggingface · Nov 7, 2023 · 7879566 · 7879566
1 parent e9230ff
commit 7879566
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diff --git a/optimum/intel/openvino/quantization.py b/optimum/intel/openvino/quantization.py
@@ -165,10 +165,6 @@ def quantize(
             # TODO : can be set to self.model.config.name_or_path for OVModels when not provided
             raise ValueError("`save_directory` needs to be specified")
         if weights_only:
-            logger.warning(
-                "Applying weight only quantization using the `OVQuantizer` will be deprecated in the next release of optimum-intel. "
-                "To apply weight only quantization, please set `load_in_8bit=True` when loading your model with `from_pretrained()` or set `--int8` use when exporting your model with the CLI."
-            )
             if calibration_dataset is not None:
                 logger.warning(
                     "`calibration_dataset` was provided but will not be used as `weights_only` is set to `True`."

diff --git a/tests/openvino/test_exporters_cli.py b/tests/openvino/test_exporters_cli.py
@@ -111,4 +111,7 @@ def test_exporters_cli_int8(self, task: str, model_type: str):
             expected_int8 = _ARCHITECTURES_TO_EXPECTED_INT8[model_type]
             for i, model in enumerate(models):
                 _, num_int8 = get_num_quantized_nodes(model)
-                self.assertEqual(expected_int8[i], num_int8)
+                expected = expected_int8[i]
+                if task == "text-generation":
+                    expected -= 1
+                self.assertEqual(expected, num_int8)