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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@@ -1273,6 +1273,18 @@ class MusicgenTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin,
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def test_tied_weights_keys(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(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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# override since changing `output_hidden_states` / `output_attentions` from the top-level model config won't work
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def test_retain_grad_hidden_states_attentions(self):
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config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
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