code: def test_compile_model_linux_arm64_nvidia(sagemaker_session):
      sagemaker_session.wait_for_compilation_job = Mock(
          return_value=DESCRIBE_COMPILATION_JOB_RESPONSE
      )
      model = _create_model(sagemaker_session)
      model.compile(
          target_instance_family=None,
          input_shape={"data": [1, 3, 1024, 1024]},
          output_path="s3://output",
          role="role",
          framework="tensorflow",
          job_name="compile-model",
          target_platform_os="LINUX",
          target_platform_arch="ARM64",
          target_platform_accelerator="NVIDIA",
          compiler_options={
              "gpu-code": "sm_72",
              "trt-ver": "6.0.1",
              "cuda-ver": "10.1",
          },
      )
      assert model._is_compiled_model is False
  
imports: from __future__ import absolute_import
  import pytest
  from mock import Mock, patch
  from sagemaker.model import Model
label_desc: Use image node_id 6 for calling a global function with example usage: test_compile_model_linux_arm64_nvidia(sagemaker_session) without return types