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[CI] Fix new LoRAHotswap tests (#13163)
update Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
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@@ -375,7 +375,7 @@ class LoraHotSwappingForModelTesterMixin:
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# additionally check if dynamic compilation works.
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if different_shapes is not None:
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for height, width in different_shapes:
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new_inputs_dict = self.prepare_dummy_input(height=height, width=width)
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new_inputs_dict = self.get_dummy_inputs(height=height, width=width)
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_ = model(**new_inputs_dict)
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else:
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output0_after = model(**inputs_dict)["sample"]
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@@ -390,7 +390,7 @@ class LoraHotSwappingForModelTesterMixin:
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with torch.inference_mode():
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if different_shapes is not None:
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for height, width in different_shapes:
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new_inputs_dict = self.prepare_dummy_input(height=height, width=width)
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new_inputs_dict = self.get_dummy_inputs(height=height, width=width)
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_ = model(**new_inputs_dict)
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else:
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output1_after = model(**inputs_dict)["sample"]
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