Adding _tie_weights() to prediction heads to support low_cpu_mem_usage=True (#29024)
* Adding _tie_weights() to prediction heads to support low_cpu_mem_usage=True * Testing for the non-safe-tensors case, since the default is safe-tensors already * Running fixup/fix-copies * Adding accelerate annotations to tests
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@@ -578,6 +578,18 @@ class DeformableDetrModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineT
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msg=f"Parameter {name} of model {model_class} seems not properly initialized",
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)
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@unittest.skip("No support for low_cpu_mem_usage=True.")
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def test_save_load_low_cpu_mem_usage(self):
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pass
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@unittest.skip("No support for low_cpu_mem_usage=True.")
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def test_save_load_low_cpu_mem_usage_checkpoints(self):
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pass
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@unittest.skip("No support for low_cpu_mem_usage=True.")
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def test_save_load_low_cpu_mem_usage_no_safetensors(self):
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pass
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def test_two_stage_training(self):
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model_class = DeformableDetrForObjectDetection
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config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
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