tf.compat.v1.VariableScope Variable scope object to carry defaults to provide to get_variable. 
tf.compat.v1.VariableScope(
    reuse, name='', initializer=None, regularizer=None,
    caching_device=None, partitioner=None, custom_getter=None,
    name_scope='', dtype=tf.dtypes.float32, use_resource=None,
    constraint=None
)
 Many of the arguments we need for get_variable in a variable store are most easily handled with a context. This object is used for the defaults.
 


 Attributes
  name   name of the current scope, used as prefix in get_variable.  
  initializer   default initializer passed to get_variable.  
  regularizer   default regularizer passed to get_variable.  
  reuse   Boolean, None, or tf.compat.v1.AUTO_REUSE, setting the reuse in get_variable. When eager execution is enabled this argument is always forced to be False.  
  caching_device   string, callable, or None: the caching device passed to get_variable.  
  partitioner   callable or None: the partitioner passed to get_variable.  
  custom_getter   default custom getter passed to get_variable.  
  name_scope   The name passed to tf.name_scope.  
  dtype   default type passed to get_variable (defaults to DT_FLOAT).  
  use_resource   if False, create a normal Variable; if True create an experimental ResourceVariable with well-defined semantics. Defaults to False (will later change to True). When eager execution is enabled this argument is always forced to be True.  
  constraint   An optional projection function to be applied to the variable after being updated by an Optimizer (e.g. used to implement norm constraints or value constraints for layer weights). The function must take as input the unprojected Tensor representing the value of the variable and return the Tensor for the projected value (which must have the same shape). Constraints are not safe to use when doing asynchronous distributed training.  
  original_name_scope  
   Methods get_collection View source 
get_collection(
    name
)
 Get this scope's variables. get_variable View source 
get_variable(
    var_store, name, shape=None, dtype=None, initializer=None, regularizer=None,
    reuse=None, trainable=None, collections=None, caching_device=None,
    partitioner=None, validate_shape=True, use_resource=None, custom_getter=None,
    constraint=None, synchronization=tf.VariableSynchronization.AUTO,
    aggregation=tf.compat.v1.VariableAggregation.NONE
)
 Gets an existing variable with this name or create a new one. global_variables View source 
global_variables()
 Get this scope's global variables. local_variables View source 
local_variables()
 Get this scope's local variables. reuse_variables View source 
reuse_variables()
 Reuse variables in this scope. set_caching_device View source 
set_caching_device(
    caching_device
)
 Set caching_device for this scope. set_custom_getter View source 
set_custom_getter(
    custom_getter
)
 Set custom getter for this scope. set_dtype View source 
set_dtype(
    dtype
)
 Set data type for this scope. set_initializer View source 
set_initializer(
    initializer
)
 Set initializer for this scope. set_partitioner View source 
set_partitioner(
    partitioner
)
 Set partitioner for this scope. set_regularizer View source 
set_regularizer(
    regularizer
)
 Set regularizer for this scope. set_use_resource View source 
set_use_resource(
    use_resource
)
 Sets whether to use ResourceVariables for this scope. trainable_variables View source 
trainable_variables()
 Get this scope's trainable variables.