code: def disable_log() -> None:
      r"""Disables ONNX logging."""
      _C._jit_set_onnx_log_enabled(False)
  
file_path: pytorch/torch/onnx/__init__.py
imports: from torch import _C
  from torch._C import _onnx
  from torch._C._onnx import _CAFFE2_ATEN_FALLBACK, OperatorExportTypes, TensorProtoDataType, TrainingMode
  from .None import _deprecation, errors, symbolic_caffe2, symbolic_helper, symbolic_opset7, symbolic_opset8, symbolic_opset9, symbolic_opset10, symbolic_opset11, symbolic_opset12, symbolic_opset13, symbolic_opset14, symbolic_opset15, symbolic_opset16, symbolic_opset17, symbolic_opset18, utils
  from ._exporter_states import ExportTypes, SymbolicContext
  from ._type_utils import JitScalarType
  from .errors import CheckerError
  from .utils import _optimize_graph, _run_symbolic_function, _run_symbolic_method, export, export_to_pretty_string, is_in_onnx_export, register_custom_op_symbolic, select_model_mode_for_export, unregister_custom_op_symbolic
  from ._internal.exporter import DiagnosticOptions, ExportOptions, ONNXProgram, ONNXProgramSerializer, ONNXRuntimeOptions, InvalidExportOptionsError, OnnxExporterError, OnnxRegistry, dynamo_export, enable_fake_mode
  from ._internal.onnxruntime import is_onnxrt_backend_supported, OrtBackend, OrtBackendOptions, OrtExecutionProvider
label_desc: Use image node_id 3 for calling a global function with example usage: disable_log() without return types