Revert "tighten compilation tests for quantization"

This reverts commit 8d431dc967.

tests/quantization/bnb/test_4bit.py

@@ -886,7 +886,6 @@ class Bnb4BitCompileTests(QuantCompileTests, unittest.TestCase):
             components_to_quantize=["transformer", "text_encoder_2"],
         )
 
-    @require_bitsandbytes_version_greater("0.46.1")
     def test_torch_compile(self):
         torch._dynamo.config.capture_dynamic_output_shape_ops = True
         super().test_torch_compile()

tests/quantization/test_torch_compile_utils.py

@@ -56,18 +56,12 @@ class QuantCompileTests:
         pipe.transformer.compile(fullgraph=True)
 
         # small resolutions to ensure speedy execution.
-        with torch._dynamo.config.patch(error_on_recompile=True):
-            pipe("a dog", num_inference_steps=2, max_sequence_length=16, height=256, width=256)
+        pipe("a dog", num_inference_steps=2, max_sequence_length=16, height=256, width=256)
 
     def _test_torch_compile_with_cpu_offload(self, torch_dtype=torch.bfloat16):
         pipe = self._init_pipeline(self.quantization_config, torch_dtype)
         pipe.enable_model_cpu_offload()
-        # regional compilation is better for offloading.
-        # see: https://pytorch.org/blog/torch-compile-and-diffusers-a-hands-on-guide-to-peak-performance/
-        if getattr(pipe.transformer, "_repeated_blocks"):
-            pipe.transformer.compile_repeated_blocks(fullgraph=True)
-        else:
-            pipe.transformer.compile()
+        pipe.transformer.compile()
 
         # small resolutions to ensure speedy execution.
         pipe("a dog", num_inference_steps=2, max_sequence_length=16, height=256, width=256)