[tests] Fix failing float16 cuda tests (#11835)

* update * update --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

Author: a-r-r-o-w

tests/pipelines/test_pipelines_common.py

@@ -1378,25 +1378,27 @@ def test_float16_inference(self, expected_max_diff=5e-2):
  for component in pipe_fp16.components.values():
  if hasattr(component, "set_default_attn_processor"):
  component.set_default_attn_processor()
-
  pipe_fp16.to(torch_device, torch.float16)
  pipe_fp16.set_progress_bar_config(disable=None)
 
  inputs = self.get_dummy_inputs(torch_device)
  # Reset generator in case it is used inside dummy inputs
  if "generator" in inputs:
  inputs["generator"] = self.get_generator(0)
-
  output = pipe(**inputs)[0]
 
  fp16_inputs = self.get_dummy_inputs(torch_device)
  # Reset generator in case it is used inside dummy inputs
  if "generator" in fp16_inputs:
  fp16_inputs["generator"] = self.get_generator(0)
-
  output_fp16 = pipe_fp16(**fp16_inputs)[0]
+
+ if isinstance(output, torch.Tensor):
+ output = output.cpu()
+ output_fp16 = output_fp16.cpu()
+
  max_diff = numpy_cosine_similarity_distance(output.flatten(), output_fp16.flatten())
- assert max_diff < 1e-2
+ assert max_diff < expected_max_diff
 
  @unittest.skipIf(torch_device not in ["cuda", "xpu"], reason="float16 requires CUDA or XPU")
  @require_accelerator