switch to device agnostic device calling for test cases (#38247)
* use device agnostic APIs in test cases Signed-off-by: Matrix Yao <matrix.yao@intel.com> * fix style Signed-off-by: Matrix Yao <matrix.yao@intel.com> * add one more Signed-off-by: YAO Matrix <matrix.yao@intel.com> * xpu now supports integer device id, aligning to CUDA behaviors Signed-off-by: Matrix Yao <matrix.yao@intel.com> * update to use device_properties Signed-off-by: Matrix Yao <matrix.yao@intel.com> * fix style Signed-off-by: Matrix Yao <matrix.yao@intel.com> * update comment Signed-off-by: Matrix Yao <matrix.yao@intel.com> * fix comments Signed-off-by: Matrix Yao <matrix.yao@intel.com> * fix style Signed-off-by: Matrix Yao <matrix.yao@intel.com> --------- Signed-off-by: Matrix Yao <matrix.yao@intel.com> Signed-off-by: YAO Matrix <matrix.yao@intel.com> Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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@@ -19,6 +19,7 @@ import unittest
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from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, FineGrainedFP8Config, OPTForCausalLM
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from transformers.testing_utils import (
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backend_empty_cache,
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get_device_properties,
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require_accelerate,
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require_read_token,
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require_torch_accelerator,
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@@ -254,7 +255,7 @@ class FP8LinearTest(unittest.TestCase):
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device = torch_device
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@unittest.skipIf(
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torch.cuda.is_available() and torch.cuda.get_device_capability()[0] < 9,
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get_device_properties()[0] == "cuda" and get_device_properties()[1] < 9,
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"Skipping FP8LinearTest because it is not supported on GPU with capability < 9.0",
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)
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def test_linear_preserves_shape(self):
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@@ -270,7 +271,7 @@ class FP8LinearTest(unittest.TestCase):
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self.assertEqual(x_.shape, x.shape)
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@unittest.skipIf(
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torch.cuda.is_available() and torch.cuda.get_device_capability()[0] < 9,
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get_device_properties()[0] == "cuda" and get_device_properties()[1] < 9,
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"Skipping FP8LinearTest because it is not supported on GPU with capability < 9.0",
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)
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def test_linear_with_diff_feature_size_preserves_shape(self):
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