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>

tests/models/t5/test_modeling_t5.py

@@ -32,7 +32,8 @@ from transformers.testing_utils import (
     slow,
     torch_device,
 )
-from transformers.utils import cached_property, is_torch_fx_available
+from transformers.utils import cached_property
+from transformers.utils.fx import symbolic_trace
 
 from ...generation.test_utils import GenerationTesterMixin
 from ...test_configuration_common import ConfigTester
@@ -40,10 +41,6 @@ from ...test_modeling_common import ModelTesterMixin, _config_zero_init, ids_ten
 from ...test_pipeline_mixin import PipelineTesterMixin
 
 
-if is_torch_fx_available():
-    from transformers.utils.fx import symbolic_trace
-
-
 if is_torch_available():
     import torch
     import torch.nn.functional as F
@@ -603,8 +600,8 @@ class T5ModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin,
         return False
 
     def _create_and_check_torch_fx_tracing(self, config, inputs_dict, output_loss=False):
-        if not is_torch_fx_available() or not self.fx_compatible:
-            self.skipTest(reason="torch.fx is not available or not compatible with this model")
+        if not self.fx_compatible:
+            self.skipTest(reason="torch.fx is not compatible with this model")
 
         configs_no_init = _config_zero_init(config)  # To be sure we have no Nan
         configs_no_init.return_dict = False