Fix llama + gemma accelete tests (#29380)
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@@ -298,6 +298,10 @@ class GemmaModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixi
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test_headmasking = False
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test_headmasking = False
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test_pruning = False
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test_pruning = False
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# Need to remove 0.9 in `test_cpu_offload`
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# This is because we are hitting edge cases with the causal_mask buffer
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model_split_percents = [0.5, 0.6]
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# TODO (ydshieh): Check this. See https://app.circleci.com/pipelines/github/huggingface/transformers/79245/workflows/9490ef58-79c2-410d-8f51-e3495156cf9c/jobs/1012146
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# TODO (ydshieh): Check this. See https://app.circleci.com/pipelines/github/huggingface/transformers/79245/workflows/9490ef58-79c2-410d-8f51-e3495156cf9c/jobs/1012146
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def is_pipeline_test_to_skip(
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def is_pipeline_test_to_skip(
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self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name
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self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name
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@@ -302,6 +302,10 @@ class LlamaModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixi
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test_pruning = False
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test_pruning = False
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fx_compatible = True
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fx_compatible = True
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# Need to use `0.8` instead of `0.9` for `test_cpu_offload`
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# This is because we are hitting edge cases with the causal_mask buffer
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model_split_percents = [0.5, 0.7, 0.8]
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def setUp(self):
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def setUp(self):
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self.model_tester = LlamaModelTester(self)
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self.model_tester = LlamaModelTester(self)
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self.config_tester = ConfigTester(self, config_class=LlamaConfig, hidden_size=37)
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self.config_tester = ConfigTester(self, config_class=LlamaConfig, hidden_size=37)
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