STT-tensorflow/tensorflow/tools/api/golden/v2/tensorflow.distribute.-t-p-u-strategy.pbtxt

path: "tensorflow.distribute.TPUStrategy"
tf_class {
  is_instance: "<class \'tensorflow.python.distribute.tpu_strategy.TPUStrategyV2\'>"
  is_instance: "<class \'tensorflow.python.distribute.distribute_lib.Strategy\'>"
  is_instance: "<class \'tensorflow.python.distribute.distribute_lib.StrategyBase\'>"
  is_instance: "<type \'object\'>"
  member {
    name: "extended"
    mtype: "<type \'property\'>"
  }
  member {
    name: "num_replicas_in_sync"
    mtype: "<type \'property\'>"
  }
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'tpu_cluster_resolver\', \'experimental_device_assignment\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "colocate_vars_with"
    argspec: "args=[\'self\', \'colocate_with_variable\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "configure"
    argspec: "args=[\'self\', \'session_config\', \'cluster_spec\', \'task_type\', \'task_id\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "experimental_assign_to_logical_device"
    argspec: "args=[\'self\', \'tensor\', \'logical_device_id\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "experimental_distribute_dataset"
    argspec: "args=[\'self\', \'dataset\', \'options\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "experimental_distribute_datasets_from_function"
    argspec: "args=[\'self\', \'dataset_fn\', \'options\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "experimental_distribute_values_from_function"
    argspec: "args=[\'self\', \'value_fn\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "experimental_local_results"
    argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "experimental_make_numpy_dataset"
    argspec: "args=[\'self\', \'numpy_input\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "experimental_replicate_to_logical_devices"
    argspec: "args=[\'self\', \'tensor\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "experimental_run"
    argspec: "args=[\'self\', \'fn\', \'input_iterator\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "experimental_run_v2"
    argspec: "args=[\'self\', \'fn\', \'args\', \'kwargs\', \'options\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'None\'], "
  }
  member_method {
    name: "experimental_split_to_logical_devices"
    argspec: "args=[\'self\', \'tensor\', \'partition_dimensions\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "group"
    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "make_dataset_iterator"
    argspec: "args=[\'self\', \'dataset\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "make_input_fn_iterator"
    argspec: "args=[\'self\', \'input_fn\', \'replication_mode\'], varargs=None, keywords=None, defaults=[\'InputReplicationMode.PER_WORKER\'], "
  }
  member_method {
    name: "reduce"
    argspec: "args=[\'self\', \'reduce_op\', \'value\', \'axis\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "run"
    argspec: "args=[\'self\', \'fn\', \'args\', \'kwargs\', \'options\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'None\'], "
  }
  member_method {
    name: "scope"
    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "unwrap"
    argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "update_config_proto"
    argspec: "args=[\'self\', \'config_proto\'], varargs=None, keywords=None, defaults=None"
  }
}