tensorflow创建变量以及根据名称查找变量

import tensorflow as tf

with tf.variable_scope('scope1',reuse=tf.AUTO_REUSE) as scope1:
  x1 = tf.Variable(tf.ones([1]),name='x1')
  x2 = tf.Variable(tf.zeros([1]),name='x1')
  y1 = tf.get_variable('y1',initializer=1.0)
  y2 = tf.get_variable('y1',initializer=0.0)
  init = tf.global_variables_initializer()
  with tf.Session() as sess:
    sess.run(init)
    print(x1.name,x1.eval())
    print(x2.name,x2.eval())
    print(y1.name,y1.eval())
    print(y2.name,y2.eval())

scope1/x1:0 [ 1.]
scope1/x1_1:0 [ 0.]
scope1/y1:0 1.0
scope1/y1:0 1.0

# tf.Variable
__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
)

get_variable(
  name,
  shape=None,
  dtype=None,
  initializer=None,
  regularizer=None,
  trainable=True,
  collections=None,
  caching_device=None,
  partitioner=None,
  validate_shape=True,
  use_resource=None,
  custom_getter=None,
  constraint=None
)

import tensorflow as tf

x = tf.Variable(1,name='x')
y = tf.get_variable(name='y',shape=[1,2])
for var in tf.global_variables():
  if var.name == 'x:0':
    print(var)

import tensorflow as tf

x = tf.Variable(1,name='x')
y = tf.get_variable(name='y',shape=[1,2])

graph = tf.get_default_graph()

x1 = graph.get_tensor_by_name("x:0")
y1 = graph.get_tensor_by_name("y:0")

with tf.variable_scope("foo"):
  bar1 = tf.get_variable("bar", (2,3)) # create

with tf.variable_scope("foo", reuse=True):
  bar2 = tf.get_variable("bar") # reuse

with tf.variable_scope("", reuse=True): # root variable scope
  bar3 = tf.get_variable("foo/bar") # reuse (equivalent to the above)

print((bar1 is bar2) and (bar2 is bar3))