code: def _SatisfiesIntMinimumConstraint(
      value, attr_def, arg_name, op_type_name
  ):
      if value < attr_def.minimum:
          raise ValueError(
              f"Attr '{arg_name}' of '{op_type_name}' Op passed {value} "
              f"less than minimum {attr_def.minimum}."
          )
  
imports: from google.protobuf import text_format
  from tensorflow.core.config import flags
  from tensorflow.core.framework import attr_value_pb2
  from tensorflow.core.framework import tensor_pb2
  from tensorflow.core.framework import tensor_shape_pb2
  from tensorflow.core.framework import types_pb2
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import op_callbacks
  from tensorflow.python.framework import op_def_library_pybind
  from tensorflow.python.framework import op_def_registry
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util import _pywrap_utils
  from tensorflow.python.util import compat
  from tensorflow.python.util import tf_contextlib
label_desc: Use image node_id 6 for calling a global function with example usage: _SatisfiesIntMinimumConstraint(value, attr_def, arg_name, op_type_name) without return types