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Edit and run



In [1]:

    
import tensorflow as tf



In [2]:

    
vec = tf.constant([7,7], name='vector')



In [3]:

    
mat = tf.constant([[7,7],[9,9]], name='matrix')

offitial documentation link

create tensors whose elements are of a specific value



In [4]:

    
shape_tensor = tf.zeros([2,3],tf.int32)



In [5]:

    
with tf.Session() as ses:
    print ses.run(shape_tensor)









    



[[0 0 0]
 [0 0 0]]

tensor of shape and type (unless type is specified) as the input_tensor but all elements are zeros



In [6]:

    
input_tensor_model = [[1,2],[3,4],[5,6]]



In [7]:

    
zeroslike_tensor = tf.zeros_like(input_tensor_model)



In [8]:

    
with tf.Session() as ses:
    print ses.run(zeroslike_tensor)









    



[[0 0]
 [0 0]
 [0 0]]

tensor of shape and all elements are ones



In [9]:

    
shape_one_tensor = tf.ones([3,3],tf.int32)



In [10]:

    
with tf.Session() as ses:
    print ses.run(shape_one_tensor)









    



[[1 1 1]
 [1 1 1]
 [1 1 1]]

tensor of shape and type (unless type is specified) as the input_tensor but all elements are ones.



In [12]:

    
input_tensor_model_ones = [[1,2],[3,4],[5,6]]



In [13]:

    
onelikes = tf.ones_like(input_tensor_model_ones)



In [14]:

    
with tf.Session() as ses:
    print ses.run(onelikes)









    



[[1 1]
 [1 1]
 [1 1]]

create a tensor filled with a scalar value



In [15]:

    
tensor_scalar = tf.fill([3, 3], 8)



In [16]:

    
with tf.Session() as ses:
    print ses.run(tensor_scalar)









    



[[8 8 8]
 [8 8 8]
 [8 8 8]]

creating constants that are sequences



In [19]:

    
tensor_lin = tf.linspace(50.0 ,55.0, 5 , name="linspace")



In [20]:

    
with tf.Session() as ses:
    print ses.run(tensor_lin)









    



[ 50.    51.25  52.5   53.75  55.  ]

create a sequence of numbers that begins at start and extends by increments of delta up to but not including limit



In [23]:

    
tensor_range = tf.range(3 ,15 , 3)



In [24]:

    
with tf.Session() as ses:
    print ses.run(tensor_range)









    



[ 3  6  9 12]

TensorFlow sequences are not iterable



In [26]:

    
for a in range(4):
    print a



In [27]:

    
for b in tf.range(4):
    print b









    



---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-27-5babc1419aff> in <module>()
----> 1 for b in tf.range(4):
      2     print b

/Users/nickbortolotti/tensordev/lib/python2.7/site-packages/tensorflow/python/framework/ops.pyc in __iter__(self)
    474       TypeError: when invoked.
    475     """
--> 476     raise TypeError("'Tensor' object is not iterable.")
    477 
    478   def __bool__(self):

TypeError: 'Tensor' object is not iterable.



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