Remove old code for PyTorch, Accelerator and tokenizers (#37234)
* Remove unneeded library version checks Signed-off-by: cyy <cyyever@outlook.com> * Remove PyTorch condition Signed-off-by: cyy <cyyever@outlook.com> * Remove PyTorch condition Signed-off-by: cyy <cyyever@outlook.com> * Fix ROCm get_device_capability Signed-off-by: cyy <cyyever@outlook.com> * Revert "Fix ROCm get_device_capability" This reverts commit 0e756434bd7e74ffd73de5500476072b096570a6. * Remove unnecessary check Signed-off-by: cyy <cyyever@outlook.com> * Revert changes Signed-off-by: cyy <cyyever@outlook.com> --------- Signed-off-by: cyy <cyyever@outlook.com>
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@@ -23,7 +23,6 @@ import pytest
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from transformers import HubertConfig, is_torch_available
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from transformers.testing_utils import require_soundfile, require_torch, slow, torch_device
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from transformers.utils import is_torch_fx_available
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from ...test_configuration_common import ConfigTester
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from ...test_modeling_common import (
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@@ -48,8 +47,7 @@ if is_torch_available():
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)
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from transformers.models.hubert.modeling_hubert import _compute_mask_indices
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if is_torch_fx_available():
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from transformers.utils.fx import symbolic_trace
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from transformers.utils.fx import symbolic_trace
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class HubertModelTester:
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@@ -438,8 +436,8 @@ class HubertModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
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# TODO: fix it
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self.skipTest(reason="torch 2.1 breaks torch fx tests for wav2vec2/hubert.")
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if not is_torch_fx_available() or not self.fx_compatible:
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self.skipTest(reason="torch fx is not available or not compatible with this model")
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if not self.fx_compatible:
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self.skipTest(reason="torch fx is not compatible with this model")
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configs_no_init = _config_zero_init(config) # To be sure we have no Nan
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configs_no_init.return_dict = False
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