Tensorflow - How to Convert int32 to string (using Python API for Tensorflow)

Simple question really but cannot seem to find a function in the TensorFlow docs or by googling.

How can I convert a tensor of type tf.int32 to one of type tf.string?

I tried simply casting it with something like this:

x = tf.constant([1,2,3], dtype=tf.int32)
x_as_string = tf.cast(x, dtype=tf.string) # hoping for this output: [ '1', '2', '3' ]

with tf.Session() as sess:
 res = sess.run(x_as_string)

but hit the error message:

Cast int32 to string is not supported

Is there a simple function somewhere in the documentation that I am missing?

UPDATE:

To clarify: I realise I could 'work around' this issue using a python function with tf.py_func but asking if there is a solution in TensorFlow itself

asked Nov 14 '18 at 13:09

Stewart_R

4,30642448

add a comment |

Simple question really but cannot seem to find a function in the TensorFlow docs or by googling.

How can I convert a tensor of type tf.int32 to one of type tf.string?

I tried simply casting it with something like this:

x = tf.constant([1,2,3], dtype=tf.int32)
x_as_string = tf.cast(x, dtype=tf.string) # hoping for this output: [ '1', '2', '3' ]

with tf.Session() as sess:
 res = sess.run(x_as_string)

but hit the error message:

Cast int32 to string is not supported

Is there a simple function somewhere in the documentation that I am missing?

UPDATE:

To clarify: I realise I could 'work around' this issue using a python function with tf.py_func but asking if there is a solution in TensorFlow itself

asked Nov 14 '18 at 13:09

Stewart_R

4,30642448

add a comment |

Simple question really but cannot seem to find a function in the TensorFlow docs or by googling.

How can I convert a tensor of type tf.int32 to one of type tf.string?

I tried simply casting it with something like this:

x = tf.constant([1,2,3], dtype=tf.int32)
x_as_string = tf.cast(x, dtype=tf.string) # hoping for this output: [ '1', '2', '3' ]

with tf.Session() as sess:
 res = sess.run(x_as_string)

but hit the error message:

Cast int32 to string is not supported

Is there a simple function somewhere in the documentation that I am missing?

UPDATE:

To clarify: I realise I could 'work around' this issue using a python function with tf.py_func but asking if there is a solution in TensorFlow itself

asked Nov 14 '18 at 13:09

Stewart_R

4,30642448

Simple question really but cannot seem to find a function in the TensorFlow docs or by googling.

How can I convert a tensor of type tf.int32 to one of type tf.string?

I tried simply casting it with something like this:

x = tf.constant([1,2,3], dtype=tf.int32)
x_as_string = tf.cast(x, dtype=tf.string) # hoping for this output: [ '1', '2', '3' ]

with tf.Session() as sess:
 res = sess.run(x_as_string)

but hit the error message:

Cast int32 to string is not supported

Is there a simple function somewhere in the documentation that I am missing?

UPDATE:

To clarify: I realise I could 'work around' this issue using a python function with tf.py_func but asking if there is a solution in TensorFlow itself

python tensorflow

asked Nov 14 '18 at 13:09

Stewart_R

4,30642448

asked Nov 14 '18 at 13:09

Stewart_R

4,30642448

asked Nov 14 '18 at 13:09

Stewart_R

4,30642448

asked Nov 14 '18 at 13:09

Stewart_R

4,30642448

asked Nov 14 '18 at 13:09

Stewart_R

4,30642448

add a comment |

1 Answer
1

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You can do that with the newly added (v1.12.0) tf.strings.format:

import tensorflow as tf

x = tf.constant([1, 2, 3], dtype=tf.int32)
x_as_string = tf.map_fn(lambda xi: tf.strings.format('', xi), x, dtype=tf.string)

with tf.Session() as sess:
 res = sess.run(x_as_string)
 print(res)
 # [b'1' b'2' b'3']

answered Nov 14 '18 at 16:59

jdehesa

24.4k43554

add a comment |

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1 Answer
1

active

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1 Answer
1

active

oldest

votes

You can do that with the newly added (v1.12.0) tf.strings.format:

import tensorflow as tf

x = tf.constant([1, 2, 3], dtype=tf.int32)
x_as_string = tf.map_fn(lambda xi: tf.strings.format('', xi), x, dtype=tf.string)

with tf.Session() as sess:
 res = sess.run(x_as_string)
 print(res)
 # [b'1' b'2' b'3']

answered Nov 14 '18 at 16:59

jdehesa

24.4k43554

add a comment |

You can do that with the newly added (v1.12.0) tf.strings.format:

import tensorflow as tf

x = tf.constant([1, 2, 3], dtype=tf.int32)
x_as_string = tf.map_fn(lambda xi: tf.strings.format('', xi), x, dtype=tf.string)

with tf.Session() as sess:
 res = sess.run(x_as_string)
 print(res)
 # [b'1' b'2' b'3']

answered Nov 14 '18 at 16:59

jdehesa

24.4k43554

add a comment |

You can do that with the newly added (v1.12.0) tf.strings.format:

import tensorflow as tf

x = tf.constant([1, 2, 3], dtype=tf.int32)
x_as_string = tf.map_fn(lambda xi: tf.strings.format('', xi), x, dtype=tf.string)

with tf.Session() as sess:
 res = sess.run(x_as_string)
 print(res)
 # [b'1' b'2' b'3']

answered Nov 14 '18 at 16:59

jdehesa

24.4k43554

You can do that with the newly added (v1.12.0) tf.strings.format:

import tensorflow as tf

x = tf.constant([1, 2, 3], dtype=tf.int32)
x_as_string = tf.map_fn(lambda xi: tf.strings.format('', xi), x, dtype=tf.string)

with tf.Session() as sess:
 res = sess.run(x_as_string)
 print(res)
 # [b'1' b'2' b'3']

answered Nov 14 '18 at 16:59

jdehesa

24.4k43554

answered Nov 14 '18 at 16:59

jdehesa

24.4k43554

answered Nov 14 '18 at 16:59

jdehesa

24.4k43554

answered Nov 14 '18 at 16:59

jdehesa

24.4k43554

add a comment |

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