code: def gpu_provider(self):
      return (
          "CUDAExecutionProvider",
          {
              "gpu_mem_limit": "15000000000",  # 15GB
              "arena_extend_strategy": "kSameAsRequested",
          },
      )
  
file_path: diffusers/tests/pipelines/stable_diffusion/test_onnx_stable_diffusion_inpaint.py
imports: import unittest
  import numpy
  from diffusers import LMSDiscreteScheduler, OnnxStableDiffusionInpaintPipeline
  from diffusers.utils.testing_utils import is_onnx_available, load_image, nightly, require_onnxruntime, require_torch_gpu
  from ..test_pipelines_onnx_common import OnnxPipelineTesterMixin
label_desc: Use image node_id 1 for calling the OnnxStableDiffusionInpaintPipelineIntegrationTests obj's underlying member method code with example usage: obj.gpu_provider() and returns: str,  dict