107、TensorFlow变量（三）

创建秩为1的张量

# create a rank1 tensor object
import tensorflow as tf
mystr = tf.Variable(["Hello"], tf.string)
cool_numbers = tf.Variable([3.14159, 2.71828], tf.float32)
first_primes = tf.Variable([2, 3, 5, 7, 11], tf.int32)
its_very_complicated = tf.Variable([12.3 - 4.85j, 7.5 - 6.23j], tf.complex64)
init = tf.global_variables_initializer()
sess = tf.Session()
sess.run(init)
print(sess.run(mystr))
print(sess.run(cool_numbers))
print(sess.run(first_primes))
print(sess.run(its_very_complicated))

下面是上面的结果:

2018-02-16 21:31:32.599557: I C:\tf_jenkins\workspace\rel-win\M\windows\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
[b'Hello']
[ 3.14159012  2.71828008]
[ 2  3  5  7 11]
[ 12.3-4.85j   7.5-6.23j]

创建秩为二的张量

# create rank2 tensor
import tensorflow as tf
mymat = tf.Variable([[7], [11]], tf.int16)
myxor = tf.Variable([[False, True], [True, False]], tf.bool)
linear_squares = tf.Variable([[4], [9], [16], [25]], tf.int32)
squarish_squares = tf.Variable([ [4, 9], [16, 25] ], tf.int32)
rank_of_squares = tf.rank(linear_squares)
mymatC = tf.Variable([[7], [11]], tf.int32)
init = tf.global_variables_initializer()
sess = tf.Session()
sess.run(init)
print(sess.run(rank_of_squares))

下面是秩为二的张量的结果:

2018-02-16 21:33:53.407399: I C:\tf_jenkins\workspace\rel-win\M\windows\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2

创建维度更高的张量

# create higher rank tensors ,
# consist of an n-dimensional array
import tensorflow as tf
my_image = tf.zeros([10, 299, 299, 3])
# Getting a tf.Tensor object's rank
r = tf.rank(my_image)
init = tf.global_variables_initializer()
sess = tf.Session()
sess.run(init)
print(sess.run(r))

下面是维度更高的张量的结果:

2018-02-16 21:34:57.278721: I C:\tf_jenkins\workspace\rel-win\M\windows\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
4