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Create a tensor by calling a function in a loop in TensorFlow

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0

I need to create a tensor by calling some function fn over two other tensors and indices in a loop as follows:

tensor = [[fn(tensor1, tensor2, i, j) for i in range(3)] for j in range(4)]

Not sure how to approach this problem. Use tf.map_fn somehow?

tensorflow

share|improve this question

asked Mar 26 at 1:28

YuriYuri

13688 bronze badges

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Uncertainty about the function of your fn. You can also try tf.while_loop besides tf.map_fn.
  
  – giser_yugang
  Mar 26 at 1:43
  

  
  
  
  

add a comment | 

0

I need to create a tensor by calling some function fn over two other tensors and indices in a loop as follows:

tensor = [[fn(tensor1, tensor2, i, j) for i in range(3)] for j in range(4)]

Not sure how to approach this problem. Use tf.map_fn somehow?

tensorflow

share|improve this question

asked Mar 26 at 1:28

YuriYuri

13688 bronze badges

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Uncertainty about the function of your fn. You can also try tf.while_loop besides tf.map_fn.
  
  – giser_yugang
  Mar 26 at 1:43
  

  
  
  
  

add a comment | 

I need to create a tensor by calling some function fn over two other tensors and indices in a loop as follows:

tensor = [[fn(tensor1, tensor2, i, j) for i in range(3)] for j in range(4)]

Not sure how to approach this problem. Use tf.map_fn somehow?

tensorflow

share|improve this question

asked Mar 26 at 1:28

YuriYuri

13688 bronze badges

tensor = [[fn(tensor1, tensor2, i, j) for i in range(3)] for j in range(4)]

share|improve this question

asked Mar 26 at 1:28

YuriYuri

13688 bronze badges

share|improve this question

asked Mar 26 at 1:28

YuriYuri

13688 bronze badges

asked Mar 26 at 1:28

YuriYuri

13688 bronze badges

asked Mar 26 at 1:28

YuriYuri

13688 bronze badges

1 Answer
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1

So for your simple case your code will execute as it is.

import tensorflow as tf


sess = tf.Session()

a = tf.constant([1,2,3])
b = tf.constant([3,4,5,6])

def fn( tensor1, tensor2, i, j ):
 return tensor1[i] * tensor2[j]

tensor = [[fn(a, b, i, j) for i in range(3)] for j in range(4)]

init = tf.global_variables_initializer()
sess.run(init)
print (sess.run(tensor))

[[3, 6, 9], [4, 8, 12], [5, 10, 15], [6, 12, 18]]

share|improve this answer

answered Mar 26 at 12:58

Mohan RadhakrishnanMohan Radhakrishnan

1,59244 gold badges1212 silver badges2828 bronze badges

add a comment | 

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1

So for your simple case your code will execute as it is.

import tensorflow as tf


sess = tf.Session()

a = tf.constant([1,2,3])
b = tf.constant([3,4,5,6])

def fn( tensor1, tensor2, i, j ):
 return tensor1[i] * tensor2[j]

tensor = [[fn(a, b, i, j) for i in range(3)] for j in range(4)]

init = tf.global_variables_initializer()
sess.run(init)
print (sess.run(tensor))

[[3, 6, 9], [4, 8, 12], [5, 10, 15], [6, 12, 18]]

share|improve this answer

answered Mar 26 at 12:58

Mohan RadhakrishnanMohan Radhakrishnan

1,59244 gold badges1212 silver badges2828 bronze badges

add a comment | 

1

So for your simple case your code will execute as it is.

import tensorflow as tf


sess = tf.Session()

a = tf.constant([1,2,3])
b = tf.constant([3,4,5,6])

def fn( tensor1, tensor2, i, j ):
 return tensor1[i] * tensor2[j]

tensor = [[fn(a, b, i, j) for i in range(3)] for j in range(4)]

init = tf.global_variables_initializer()
sess.run(init)
print (sess.run(tensor))

[[3, 6, 9], [4, 8, 12], [5, 10, 15], [6, 12, 18]]

share|improve this answer

answered Mar 26 at 12:58

Mohan RadhakrishnanMohan Radhakrishnan

1,59244 gold badges1212 silver badges2828 bronze badges

add a comment | 

So for your simple case your code will execute as it is.

import tensorflow as tf


sess = tf.Session()

a = tf.constant([1,2,3])
b = tf.constant([3,4,5,6])

def fn( tensor1, tensor2, i, j ):
 return tensor1[i] * tensor2[j]

tensor = [[fn(a, b, i, j) for i in range(3)] for j in range(4)]

init = tf.global_variables_initializer()
sess.run(init)
print (sess.run(tensor))

[[3, 6, 9], [4, 8, 12], [5, 10, 15], [6, 12, 18]]

share|improve this answer

answered Mar 26 at 12:58

Mohan RadhakrishnanMohan Radhakrishnan

1,59244 gold badges1212 silver badges2828 bronze badges

import tensorflow as tf


sess = tf.Session()

a = tf.constant([1,2,3])
b = tf.constant([3,4,5,6])

def fn( tensor1, tensor2, i, j ):
 return tensor1[i] * tensor2[j]

tensor = [[fn(a, b, i, j) for i in range(3)] for j in range(4)]

init = tf.global_variables_initializer()
sess.run(init)
print (sess.run(tensor))

share|improve this answer

answered Mar 26 at 12:58

Mohan RadhakrishnanMohan Radhakrishnan

1,59244 gold badges1212 silver badges2828 bronze badges

answered Mar 26 at 12:58

Mohan RadhakrishnanMohan Radhakrishnan

1,59244 gold badges1212 silver badges2828 bronze badges

answered Mar 26 at 12:58

Mohan RadhakrishnanMohan Radhakrishnan

1,59244 gold badges1212 silver badges2828 bronze badges