tf.get_variable()与tf.Variable()的区别tf.get_variable(     name,     shape=None,     dtype=None,     initializer=None,     regularizer=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.VariableAggregation.NONE )
在tf.Variable中
__init__(
initial_value=None,
trainable=True,
collections=None,
validate_shape=True,
caching_device=None,
name=None,
variable_def=None,
dtype=None,
expected_shape=None,
import_scope=None,
constraint=None,
use_resource=None,
synchronization=tf.VariableSynchronization.AUTO,
aggregation=tf.VariableAggregation.NONE
)
1、tf.Variable()在检测到命名冲突时，会自动处理，而tf.get_variable()则会报错。
2、当需要共享变量时，需要使用tf.get_variable()