压缩文件

import tensorflow as tf 


var1=tf.constant([[11,12],
			 [21,22]], tf.float32)
#tf.constant(value, dtype, shape, name)
'''
[[11. 12.]
 [21. 22.]]
'''

var2=tf.zeros([2,2],tf.float32)
#tf.zeros(shape, dtype, name)
'''
[[0. 0.]
 [0. 0.]]
'''

var3=tf.ones([2,2],tf.float32)
#tf.ones(shape, dtype, name)
'''
[[1. 1.]
 [1. 1.]]
'''

var4=tf.zeros_like([[11,12],
			  [21,22]],tf.float32)
#tf.zeros_like(tensor, dtype, name)
'''
[[0. 0.]
 [0. 0.]]
'''

var5=tf.ones_like([[11,12],
				   [21,22]],tf.float32)
#tf.ones_like(tensor, dtype, name)
'''
[[1. 1.]
 [1. 1.]]
'''

var6=tf.fill([3,3], 3.14)
#tf.fill(dims, value, name)
'''
[[3.14 3.14 3.14]
 [3.14 3.14 3.14]
 [3.14 3.14 3.14]]
'''

var7=tf.random_normal([2,2], mean=0.0, stddev=1.0, dtype=tf.float32, seed=99)
#tf.random_normal(shape, mean=0.0, stddev=1.0, dtype=tf.float32, seed=None, name=None)
'''
[[-0.9496492  0.7335231]
 [-1.2504681 -1.5407863]]
'''


with tf.Session() as s:
	s.run(tf.global_variables_initializer())
	print(s.run(var1),s.run(var2),s.run(var3),s.run(var4),s.run(var5),s.run(var6),s.run(var7),sep="\n")

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