[tests] add test for hotswapping + compilation on resolution changes #11825
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Cc: @StrongerXi and @anijain2305 as well. |
sayakpaul
added
performance
sayakpaul
commented
Jun 28, 2025
| @@ -1350,7 +1350,6 @@ def test_model_parallelism(self): | |||
| new_model = self.model_class.from_pretrained(tmp_dir, device_map="auto", max_memory=max_memory) | |||
| # Making sure part of the model will actually end up offloaded | |||
| self.assertSetEqual(set(new_model.hf_device_map.values()), {0, 1}) | |||
| print(f" new_model.hf_device_map:{new_model.hf_device_map}") | |||
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Unrelated but hopefully okay :-)
sayakpaul
commented
Jun 28, 2025
Comment on lines
+2121
to
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| if different_resolutions is not None: | ||
| for height, width in self.different_shapes_for_compilation: | ||
| new_inputs_dict = self.prepare_dummy_input(height=height, width=width) | ||
| _ = model(**new_inputs_dict) | ||
| else: | ||
| output0_after = model(**inputs_dict)["sample"] | ||
| assert torch.allclose(output0_before, output0_after, atol=tol, rtol=tol) |
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We don't need assertions when testing for different shapes as that would make the test unnecessarily complicated. We just check for recompilations.
sayakpaul
commented
Jun 28, 2025
| different_shapes_for_compilation = self.different_shapes_for_compilation | ||
| if different_shapes_for_compilation is None: | ||
| pytest.skip(f"Skipping as `different_shapes_for_compilation` is not set for {self.__class__.__name__}.") | ||
| torch.fx.experimental._config.use_duck_shape = False |
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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What does this PR do?
As promised :)